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DOUGLAS-042 stands as an ingenious embodiment of a PowerShell script meticulously designed to expedite the triage process and facilitate the meticulous collection of crucial evidence derived from both forensic artifacts and the ephemeral landscape of volatile data. Its fundamental mission revolves around providing indispensable aid in the arduous task of pinpointing potential security breaches within Windows ecosystems. With an overarching focus on expediency, DOUGLAS-042 orchestrates the efficient prioritization and methodical aggregation of data, ensuring that no vital piece of information eludes scrutiny when investigating a possible compromise. As a testament to its organized approach, the amalgamated data finds its sanctuary within the confines of a meticulously named text file, bearing the nomenclature of the host system's very own hostname. This practice of meticulous data archival emerges not just as a systematic convention, but as a cornerstone that paves the way for seamless transitions into subsequent stages of the Forensic journey.
Using administrative privileges, just run the script from a PowerShell console, then the results will be saved in the directory as a txt file.
FreshRSS 
$ PS >./douglas.ps1
$ PS >./douglas.ps1 -a
When we come across the term Artificial Intelligence (AI), our mind often ventures into the realm of sci-fi movies like I, Robot, Matrix, and Ex Machina. We’ve always perceived AI as a futuristic concept, something that’s happening in a galaxy far, far away. However, AI is not only here in our present but has also been a part of our lives for several years in the form of various technological devices and applications.
In our day-to-day lives, we use AI in many instances without even realizing it. AI has permeated into our homes, our workplaces, and is at our fingertips through our smartphones. From cell phones with built-in smart assistants to home assistants that carry out voice commands, from social networks that determine what content we see to music apps that curate playlists based on our preferences, AI has its footprints everywhere. Therefore, it’s integral to not only embrace the wows of this impressive technology but also understand and discuss the potential risks associated with it.
→ Dig Deeper: Artificial Imposters—Cybercriminals Turn to AI Voice Cloning for a New Breed of Scam
AI, a term that might sound intimidating to many, is not so when we understand it. It is essentially technology that can be programmed to achieve certain goals without assistance. In simple words, it’s a computer’s ability to predict, process data, evaluate it, and take necessary action. This smart way of performing tasks is being implemented in education, business, manufacturing, retail, transportation, and almost every other industry and cultural sector you can think of.
AI has been doing a lot of good too. For instance, Instagram, the second most popular social network, is now deploying AI technology to detect and combat cyberbullying in both comments and photos. No doubt, AI is having a significant impact on everyday life and is poised to metamorphose the future landscape. However, alongside its benefits, AI has brought forward a set of new challenges and risks. From self-driving cars malfunctioning to potential jobs lost to AI robots, from fake videos and images to privacy breaches, the concerns are real and need timely discussions and preventive measures.
AI has made it easier for people to face-swap within images and videos, leading to “deep fake” videos that appear remarkably realistic and often go viral. A desktop application called FakeApp allows users to seamlessly swap faces and share fake videos and images. While this displays the power of AI technology, it also brings to light the responsibility and critical thinking required when consuming and sharing online content.
→ Dig Deeper: The Future of Technology: AI, Deepfake, & Connected Devices
Yet another concern raised by AI is privacy breaches. The Cambridge Analytica/Facebook scandal of 2018, alleged to have used AI technology unethically to collect Facebook user data, serves as a reminder that our private (and public) information can be exploited for financial or political gain. Thus, it becomes crucial to discuss and take necessary steps like locking down privacy settings on social networks and being mindful of the information shared in the public feed, including reactions and comments on other content.
McAfee Pro Tip: Cybercriminals employ advanced methods to deceive individuals, propagating sensationalized fake news, creating deceptive catfish dating profiles, and orchestrating harmful impersonations. Recognizing sophisticated AI-generated content can pose a challenge, but certain indicators may signal that you’re encountering a dubious image or interacting with a perpetrator operating behind an AI-generated profile. Know the indicators.
With the advent of AI, cybercrime has found a new ally. As per McAfee’s Threats Prediction Report, AI technology might enable hackers to bypass security measures on networks undetected. This can lead to data breaches, malware attacks, ransomware, and other criminal activities. Moreover, AI-generated phishing emails are scamming people into unknowingly handing over sensitive data.
→ Dig Deeper: How to Keep Your Data Safe From the Latest Phishing Scam
Bogus emails are becoming highly personalized and can trick intelligent users into clicking malicious links. Given the sophistication of these AI-related scams, it is vital to constantly remind ourselves and our families to be cautious with every click, even those from known sources. The need to be alert and informed cannot be overstressed, especially in times when AI and cybercrime often seem to be two sides of the same coin.
As homes evolve to be smarter and synced with AI-powered Internet of Things (IoT) products, potential threats have proliferated. These threats are not limited to computers and smartphones but extend to AI-enabled devices such as voice-activated assistants. According to McAfee’s Threat Prediction Report, these IoT devices are particularly susceptible as points of entry for cybercriminals. Other devices at risk, as highlighted by security experts, include routers, and tablets.
This means we need to secure all our connected devices and home internet at its source – the network. Routers provided by your ISP (Internet Security Provider) are often less secure, so consider purchasing your own. As a primary step, ensure that all your devices are updated regularly. More importantly, change the default password on these devices and secure your primary network along with your guest network with strong passwords.
Having an open dialogue about AI and its implications is key to navigating through the intricacies of this technology. Parents need to have open discussions with kids about the positives and negatives of AI technology. When discussing fake videos and images, emphasize the importance of critical thinking before sharing any content online. Possibly, even introduce them to the desktop application FakeApp, which allows users to swap faces within images and videos seamlessly, leading to the production of deep fake photos and videos. These can appear remarkably realistic and often go viral.
Privacy is another critical area for discussion. After the Cambridge Analytica/Facebook scandal of 2018, the conversation about privacy breaches has become more significant. These incidents remind us how our private (and public) information can be misused for financial or political gain. Locking down privacy settings, being mindful of the information shared, and understanding the implications of reactions and comments are all topics worth discussing.
Awareness and knowledge are the best tools against AI-enabled cybercrime. Making families understand that bogus emails can now be highly personalized and can trick even the most tech-savvy users into clicking malicious links is essential. AI can generate phishing emails, scamming people into handing over sensitive data. In this context, constant reminders to be cautious with every click, even those from known sources, are necessary.
→ Dig Deeper: Malicious Websites – The Web is a Dangerous Place
The advent of AI has also likely allowed hackers to bypass security measures on networks undetected, leading to data breaches, malware attacks, and ransomware. Therefore, being alert and informed is more than just a precaution – it is a vital safety measure in the digital age.
Artificial Intelligence has indeed woven itself into our everyday lives, making things more convenient, efficient, and connected. However, with these advancements come potential risks and challenges. From privacy breaches, and fake content, to AI-enabled cybercrime, the concerns are real and need our full attention. By understanding AI better, having open discussions, and taking appropriate security measures, we can leverage this technology’s immense potential without falling prey to its risks. In our AI-driven world, being informed, aware, and proactive is the key to staying safe and secure.
To safeguard and fortify your online identity, we strongly recommend that you delve into the extensive array of protective features offered by McAfee+. This comprehensive cybersecurity solution is designed to provide you with a robust defense against a wide spectrum of digital threats, ranging from malware and phishing attacks to data breaches and identity theft.
The post AI & Your Family: The Wows and Potential Risks appeared first on McAfee Blog.
OSINT framework focused on gathering information from free tools or resources. The intention is to help people find free OSINT resources. Some of the sites included might require registration or offer more data for $$$, but you should be able to get at least a portion of the available information for no cost.
I originally created this framework with an information security point of view. Since then, the response from other fields and disciplines has been incredible. I would love to be able to include any other OSINT resources, especially from fields outside of infosec. Please let me know about anything that might be missing!
Please visit the framework at the link below and good hunting!
(T) - Indicates a link to a tool that must be installed and run locally
(D) - Google Dork, for more information: Google Hacking
(R) - Requires registration
(M) - Indicates a URL that contains the search term and the URL itself must be edited manually
Follow me on Twitter: @jnordine - https://twitter.com/jnordine
Watch or star the project on Github: https://github.com/lockfale/osint-framework
Feedback or new tool suggestions are extremely welcome! Please feel free to submit a pull request or open an issue on github or reach out on Twitter.
For new resources, please ensure that the site is available for public and free use.
Thank you!
Happy Hunting!
Last week, KrebsOnSecurity broke the news that one of the largest cybercrime services for laundering stolen merchandise was hacked recently, exposing its internal operations, finances and organizational structure. In today’s Part II, we’ll examine clues about the real-life identity of “Fearlless,” the nickname chosen by the proprietor of the SWAT USA Drops service.
Based in Russia, SWAT USA recruits people in the United States to reship packages containing pricey electronics that are purchased with stolen credit cards. As detailed in this Nov. 2 story, SWAT currently employs more than 1,200 U.S. residents, all of whom will be cut loose without a promised payday at the end of their first month reshipping stolen goods.
The current co-owner of SWAT, a cybercriminal who uses the nickname “Fearlless,” operates primarily on the cybercrime forum Verified. This Russian-language forum has tens of thousands of members, and it has suffered several hacks that exposed more than a decade’s worth of user data and direct messages.
January 2021 posts on Verified show that Fearlless and his partner Universalo purchased the SWAT reshipping business from a Verified member named SWAT, who’d been operating the service for years. SWAT agreed to transfer the business in exchange for 30 percent of the net profit over the ensuing six months.
Cyber intelligence firm Intel 471 says Fearlless first registered on Verified in February 2013. The email address Fearlless used on Verified leads nowhere, but a review of Fearlless’ direct messages on Verified indicates this user originally registered on Verified a year earlier as a reshipping vendor, under the alias “Apathyp.”
There are two clues supporting the conclusion that Apathyp and Fearlless are the same person. First, the Verified administrators warned Apathyp he had violated the forum’s rules barring the use of multiple accounts by the same person, and that Verified’s automated systems had detected that Apathyp and Fearlless were logging in from the same device. Second, in his earliest private messages on Verified, Fearlless told others to contact him on an instant messenger address that Apathyp had claimed as his.
Intel 471 says Apathyp registered on Verified using the email address triploo@mail.ru. A search on that email address at the breach intelligence service Constella Intelligence found that a password commonly associated with it was “niceone.” But the triploo@mail.ru account isn’t connected to much else that’s interesting except a now-deleted account at Vkontakte, the Russian answer to Facebook.
However, in Sept. 2020, Apathyp sent a private message on Verified to the owner of a stolen credit card shop, saying his credentials no longer worked. Apathyp told the proprietor that his chosen password on the service was “12Apathy.”
A search on that password at Constella reveals it was used by just four different email addresses, two of which are particularly interesting: gezze@yandex.ru and gezze@mail.ru. Constella discovered that both of these addresses were previously associated with the same password as triploo@mail.ru — “niceone,” or some variation thereof.
Constella found that years ago gezze@mail.ru was used to create a Vkontakte account under the name Ivan Sherban (former password: “12niceone“) from Magnitogorsk, an industrial city in the southern region of Russia. That same email address is now tied to a Vkontakte account for an Ivan Sherban who lists his home as Saint Petersburg, Russia. Sherban’s profile photo shows a heavily tattooed, muscular and recently married individual with his beautiful new bride getting ready to drive off in a convertible sports car.
A pivotal clue for validating the research into Apathyp/Fearlless came from the identity intelligence firm myNetWatchman, which found that gezze@mail.ru at one time used the passwords “геззи1991” (gezze1991) and “gezze18081991.”
Care to place a wager on when Vkontakte says is Mr. Sherban’s birthday? Ten points if you answered August 18 (18081991).
Mr. Sherban did not respond to multiple requests for comment.
Earlier this week, KrebsOnSecurity revealed that the darknet website for the Snatch ransomware group was leaking data about its users and the crime gang’s internal operations. Today, we’ll take a closer look at the history of Snatch, its alleged founder, and their claims that everyone has confused them with a different, older ransomware group by the same name.
According to a September 20, 2023 joint advisory from the FBI and the U.S. Cybersecurity and Infrastructure Security Administration (CISA), Snatch was originally named Team Truniger, based on the nickname of the group’s founder and organizer — Truniger.
The FBI/CISA report says Truniger previously operated as an affiliate of GandCrab, an early ransomware-as-a-service offering that closed up shop after several years and claims to have extorted more than $2 billion from victims. GandCrab dissolved in July 2019, and is thought to have become “REvil,” one of the most ruthless and rapacious Russian ransomware groups of all time.
The government says Snatch used a customized ransomware variant notable for rebooting Microsoft Windows devices into Safe Mode — enabling the ransomware to circumvent detection by antivirus or endpoint protection — and then encrypting files when few services are running.
“Snatch threat actors have been observed purchasing previously stolen data from other ransomware variants in an attempt to further exploit victims into paying a ransom to avoid having their data released on Snatch’s extortion blog,” the FBI/CISA alert reads. It continues:
“Prior to deploying the ransomware, Snatch threat actors were observed spending up to three months on a victim’s system. Within this timeframe, Snatch threat actors exploited the victim’s network moving laterally across the victim’s network with RDP for the largest possible deployment of ransomware and searching for files and folders for data exfiltration followed by file encryption.”
New York City-based cyber intelligence firm Flashpoint said the Snatch ransomware group was created in 2018, based on Truniger’s recruitment both on Russian language cybercrime forums and public Russian programming boards. Flashpoint said Truniger recruited “pen testers” for a new, then-unnamed cybercrime group, by posting their private Jabber instant messenger contact details on multiple Russian language coding forums, as well as on Facebook.
“The command requires Windows system administrators,” Truniger’s ads explained. “Experience in backup, increase privileges, mikicatz, network. Details after contacting on jabber: truniger@xmpp[.]jp.”
In at least some of those recruitment ads — like one in 2018 on the forum sysadmins[.]ru –the username promoting Truniger’s contact information was Semen7907. In April 2020, Truniger was banned from two of the top Russian cybercrime forums, where members from both forums confirmed that Semen7907 was one of Truniger’s known aliases.
[SIDE NOTE: Truniger was banned because he purchased credentials to a company from a network access broker on the dark web, and although he promised to share a certain percentage of whatever ransom amount Truniger’s group extracted from the victim, Truniger paid the access broker just a few hundred dollars off of a six-figure ransom].
According to Constella Intelligence, a data breach and threat actor research platform, a user named Semen7907 registered in 2017 on the Russian-language programming forum pawno[.]ru using the email address tretyakov-files@yandex.ru.
That same email address was assigned to the user “Semen-7907” on the now defunct gaming website tunngle.net, which suffered a data breach in 2020. Semen-7907 registered at Tunngle from the Internet address 31.192.175[.]63, which is in Yekaterinburg, RU.
Constella reports that tretyakov-files@yandex.ru was also used to register an account at the online game stalker[.]so with the nickname Trojan7907.
There is a Skype user by the handle semen7907, and which has the name Semyon Tretyakov from Yekaterinburg, RU. Constella also found a breached record from the Russian mobile telephony site tele2[.]ru, which shows that a user from Yekaterinburg registered in 2019 with the name Semyon Sergeyvich Tretyakov and email address tretyakov-files@ya.ru.
The above accounts, as well as the email address semen_7907@mail.ru, were all registered or accessed from the same Yekaterinburg Internet address mentioned previously: 31.192.175.63. The Russian mobile phone number associated with that tele2[.]ru account is connected to the Telegram account “Perchatka,” (“glove” in Russian).
Reached via Telegram, Perchatka (a.k.a. Mr. Tretyakov) said he was not a cybercriminal, and that he currently has a full-time job working in IT at a major company (he declined to specify which).
Presented with the information gathered for this report (and more that is not published here), Mr. Tretyakov acknowledged that Semen7907 was his account on sysadmins[.]ru, the very same account Truniger used to recruit hackers for the Snatch Ransomware group back in 2018.
However, he claims that he never made those posts, and that someone else must have assumed control over his sysadmins[.]ru account and posted as him. Mr. Tretyakov said that KrebsOnSecurity’s outreach this week was the first time he became aware that his sysadmins[.]ru account was used without his permission.
Mr. Tretyakov suggested someone may have framed him, pointing to an August 2023 story at a Russian news outlet about the reported hack and leak of the user database from sysadmins[.]ru, allegedly at the hands of a pro-Ukrainian hacker group called CyberSec.
“Recently, because of the war in Ukraine, a huge number of databases have been leaked and finding information about a person is not difficult,” Tretyakov said. “I’ve been using this login since about 2013 on all the forums where I register, and I don’t always set a strong password. If I had done something illegal, I would have hidden much better :D.”
[For the record, KrebsOnSecurity does not generally find this to be the case, as the ongoing Breadcrumbs series will attest.]
A Semyon Sergeyvich Tretyakov is listed as the composer of a Russian-language rap song called “Parallels,” which seems to be about the pursuit of a high-risk lifestyle online. A snippet of the song goes:
“Someone is on the screen, someone is on the blacklist
I turn on the timer and calculate the risks
I don’t want to stay broke And in the pursuit of money
I can’t take these zeros Life is like a zebra –
everyone wants to be first Either the stripes are white,
or we’re moving through the wilds I won’t waste time.”
Mr. Tretyakov said he was not the author of that particular rhyme, but that he has been known to record his own rhythms.
“Sometimes I make bad beats,” he said. “Soundcloud.”
The FBI/CISA alert on Snatch Ransomware (PDF) includes an interesting caveat: It says Snatch actually deploys ransomware on victim systems, but it also acknowledges that the current occupants of Snatch’s dark and clear web domains call themselves Snatch Team, and maintain that they are not the same people as Snatch Ransomware from 2018.
Here’s the interesting bit from the FBI/CISA report:
“Since November 2021, an extortion site operating under the name Snatch served as a clearinghouse for data exfiltrated or stolen from victim companies on Clearnet and TOR hosted by a bulletproof hosting service. In August 2023, individuals claiming to be associated with the blog gave a media interview claiming the blog was not associated with Snatch ransomware and “none of our targets has been attacked by Ransomware Snatch…”, despite multiple confirmed Snatch victims’ data appearing on the blog alongside victims associated with other ransomware groups, notably Nokoyawa and Conti.”
Avid readers will recall a story here earlier this week about Snatch Team’s leaky darknet website based in Yekaterinburg, RU that exposed their internal operations and Internet addresses of their visitors. 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.
Snatch Team claims to deal only in stolen data — not in deploying ransomware malware to hold systems hostage.
Representatives of the Snatch Team recently answered questions from Databreaches.net about the claimed discrepancy in the FBI/CISA report.
“First of all, we repeat once again that we have nothing to do with Snatch Ransomware, we are Security Notification Attachment, and we have never violated the terms of the concluded transactions, because our honesty and openness is the guarantee of our income,” the Snatch Team wrote to Databreaches.net in response to questions.
But so far the Snatch Team has not been able to explain why it is using the very same domain names that the Snatch ransomware group used?
Their claim is even more unbelievable because the Snatch Team members told Databreaches.net they didn’t even know that a ransomware group with that name already existed when they initially formed just two years ago.
This is difficult to swallow because even if they were a separate group, they’d still need to somehow coordinate the transfer of the Ransomware group’s domains on the clear and dark webs. If they were hoping for a fresh start or separation, why not just pick a new name and new web destination?
“Snatchteam[.]cc is essentially a data market,” they continued. “The only thing to underline is that we are against selling leaked information, sticking to the idea of free access. Absolutely any team can come to us and offer information for publication. Even more, we have heard rumors that a number of ransomware teams scare their clients that they will post leaked information on our resource. We do not have our own ransomware, but we are open to cooperation on placement and monetization of dates (sic).”
Maybe Snatch Team does not wish to be associated with Snatch Ransomware because they currently believe stealing data and then extorting victim companies for money is somehow less evil than infecting all of the victim’s servers and backups with ransomware.
It is also likely that Snatch Team is well aware of how poorly some of their founders covered their tracks online, and are hoping for a do-over on that front.
The tables have turned. Now you can use AI to spot and block scam texts before they do you harm.
You might have heard how scammers have tapped into the power of AI. It provides them with powerful tools to create convincing-looking scams on a massive scale, which can flood your phone with annoying and malicious texts.
The good news is that we use AI too. And we have for some time to keep you safe. Now, we’ve put AI to use in another powerful way—to put an end to scam texts on your phone.
Our new Text Scam Detector automatically identifies and alerts you if it detects a dangerous URL in your texts. No more wondering if a package delivery message or bank notification is real or not. Our patented AI technology instantaneously detects malicious links to stop you before you click by sending an alert. And as a second line of defense, it can block risky sites if you accidentally follow a scam link in a text, email, social media, and more.
The time couldn’t be more right for this kind of protection. Last year, Americans lost $330 million to text scams alone, more than double the previous year, with an average reported loss of $1,000, according to the Federal Trade Commission. The deluge of these new sophisticated AI-generated scams is making it harder than ever to tell what’s real from what’s fake.
Which is where our use of AI comes in. With it, you can turn the table on scammers and their AI tools.
Here’s a closer look at how Text Scam Detector works:
Text Scam Detector is free for most existing customers, and free to try for new customers.
Most McAfee customers now have Text Scam Detector available. Simply update your app. There’s no need to purchase or download anything separately. Set up Text Scam Detector in your mobile app, then enable Safe Browsing for extra protection or download our web protection extension for your PC or Mac from the McAfee Protection Center. Some exclusions apply¹.
For new customers, Text Scam Detector is available as part of a free seven-day trial of McAfee Mobile Security. After the trial period, McAfee Mobile Security is $2.99 a month or $29.99 annually for a one-year subscription.
As part of our new Text Scam Detector, you can benefit from McAfee’s risky link identification on any platform you use. It can block dangerous links should you accidentally click on one, whether that’s through texts, emails, social media, or a browser. It’s powered by AI as well, and you’ll get it by setting up Safe Browsing on your iOS² or Android device—and by using the WebAdvisor extension on PCs, Macs and iOS.
Scan the QR code to download Text Scam Detector from the Google App store
AI works in your favor. Just as it has for some time now if you’ve used McAfee for your online protection. Text Scam Detector takes it to a new level. As scammers use AI to create increasingly sophisticated attacks, Text Scam Detector can help you tell what’s real and what’s fake.
The post Get Yourself AI-powered Scam Text Protection That Spots and Block Scams in Real Time appeared first on McAfee Blog.
Associated-Threat-Analyzer detects malicious IPv4 addresses and domain names associated with your web application using local malicious domain and IPv4 lists.
git clone https://github.com/OsmanKandemir/associated-threat-analyzer.git
cd associated-threat-analyzer && pip3 install -r requirements.txt
python3 analyzer.py -d target-web.com
You can run this application on a container after build a Dockerfile.
docker build -t osmankandemir/threatanalyzer .
docker run osmankandemir/threatanalyzer -d target-web.com
docker pull osmankandemir/threatanalyzer
docker run osmankandemir/threatanalyzer -d target-web.com
-d DOMAIN , --domain DOMAIN Input Target. --domain target-web1.com
-t DOMAINSFILE, --DomainsFile Malicious Domains List to Compare. -t SampleMaliciousDomains.txt
-i IPSFILE, --IPsFile Malicious IPs List to Compare. -i SampleMaliciousIPs.txt
-o JSON, --json JSON JSON output. --json
https://github.com/OsmanKandemir/indicator-intelligence
https://github.com/stamparm/blackbook
https://github.com/stamparm/ipsum
