This week, Joe reflects on his unique path into cybersecurity and shares honest advice for breaking into the field. Plus, learn how cybercriminals are abusing AI to launch more sophisticated attacks and what you can do to stay protected.

Thursday, June 26, 2025 14:00

Welcome to this week’s edition of the Threat Source newsletter. 

Happy summer, friends! I hope everyone is staying cool and/or warm. 

I am fresh back from an exhaustive but great time in San Diego at Cisco Live U.S. It was so good to see colleagues, meet new friends and pet many therapy dogs in the Splunk booth. As often happens to me, I was approached by someone who was looking for mentorship and guidance in how to get into a cybersecurity career. It’s not unusual for me to be approached by folks looking to get into cybersecurity. I’m the large, bearded guy with the Talos shirt, so I stick out.  

So, I’m often asked how I got the career I have in cybersecurity and how others can do the same. For a guy who often has a quip or answer for most things, I always pause here. I can’t help but think of my entire career and the dumb luck and hard work that landed me where I’m at. Giving that summation to others wouldn’t be fair, because... well, my journey wasn’t a linear one. I think for many of my peers, the same applies. We found cybersecurity as a career through a series of events that organically landed us in this field. In my case, moreso than others, the path isn’t easy to follow because there was no clearly staked path for me to follow, either. 

I’ll explain as best I can: One today might go to school and graduate with a degree in information security and/or some security certificates, then begin the job hunt for an entry level gig. These types of degrees, certificates and even jobs simply didn’t exist in any meaningful way or numbers when I started my career. If you wanted to learn cybersecurity, there weren’t classes to take — you got a computer science degree and figured it out. I, like many in the GenX world, started as an IT professional. As the industry and cyber threats evolved, the career space over the years shifted and we found ourselves helping fight the good fight and keeping folks secure. 

Today is truly different, and I’m so happy about it and the opportunities it can give others. I’m envious of the school degrees, industry certifications and mentorship programs that exist today that did not exist for me. There is also an incredibly helpful information security community that provides hacking tutorials, or Capture the Flag competitions (CTFs) or hackathons that I would have loved to have been a part of in my formative years.  

By now, I know you’re thinking, "Cool story, grandpa, but answer the question: how do I get a job in cybersecurity?" In my estimation, the answers are as follows:  

1.  Have a good attitude. 
2.  Be easy to work with. 
3.  Be a forever student. 
4.  Be bad at giving up. 
5.  Find and join a (preferably local) security community. 
6.  Grow where you are planted. 

Notice that none of those things mention anything specifically technical. No malware reverse engineering, red teaming, threat intelligence or security analyzing. I can tell you that to work at Talos, you must exhibit strong traits of all six of those things I listed. One through five makes sense. Good hackers are tenacious, smart, work well with others and seek out fellow friends to network and hack with. 

Number six though – what’s up with that? Simply put, life deals us all a hand of cards that we must play, and those cards may not be great. For example, you want to get a job in cybersecurity, but you’re a primary care giver of a family member and you don’t have a lot of freedom. You might be financially constrained. You may have health issues or a disability that limits some options. Or you simply just have a job that you don’t like, and a career in security calls out to you, but the bills don’t pay themselves. This is all common, and you’re a bit “stuck.”  

So while you’re stuck, find ways to grow where you’re planted. Study. Network locally or online. Try a CTF or a hacking competition. Whatever you do, just keep growing yourself, your skillset and your network. You can do it. And before you know it, you’ll have that career helping to fight the good fight with the rest of us. 

I believe in you! You got this! 

**The one big thing **

Cybercriminals are increasingly exploiting Large Language Models (LLMs) by using uncensored versions, developing their own malicious LLMs or "jailbreaking" legitimate ones to bypass safety protocols. These compromised or malicious LLMs are then used to generate highly convincing phishing campaigns, create harmful code and automate various cybercrime operations, making attacks more sophisticated and scalable. 

**Why do I care? **

Cybercriminals’ widespread abuse of LLMs lowers the barrier to entry for sophisticated attacks, making it easier for even less skilled actors to launch effective campaigns. This means you’re more likely to run into highly convincing phishing attempts, scams and malware that are difficult to distinguish from legitimate communications, putting your personal info and company security at higher risk. 

**So now what? **

Given this evolving threat landscape, it’s important to be extra vigilant and skeptical online. Treat all online communications with caution, even if they look perfectly authentic. For individuals, that means double-checking emails and messages for anything fishy, no matter how well-written they seem. For businesses, it's time to beef up your cybersecurity defenses, invest in smart threat detection and keep your employees sharp on how to spot and report these increasingly clever social engineering tricks.

**Top security headlines of the week **

**New AI Jailbreak Bypasses Guardrails With Ease**   
On topic with our latest blog, the new “Echo Chamber” attack bypasses advanced LLM safeguards by subtly manipulating conversational context, proving highly effective across leading AI models. (SecurityWeek)

**US insurance giant Aflac says customers’ personal data stolen during cyberattack**   
Aflac says hackers stole an unknown quantity of its customers’ personal information from its network during a cyberattack earlier this month. (TechCrunch) 

**APT28 Uses Signal Chat to Deploy New Malware in Ukraine**    
A new cyber attack campaign by the Russia-linked APT28 (aka UAC-0001) threat actors using Signal chat messages to deliver two new malware families dubbed BEARDSHELL and COVENANT. (The Hacker News) 

**UK watchdog fines 23andMe over 2023 data breach**   
The U.K. data protection watchdog has fined 23andMe £2.31 million ($3.1 million) for failing to protect U.K. residents’ personal and genetic data prior to its 2023 data breach. (TechCrunch) 

**Can’t get enough Talos? **

**Decrement by one to rule them all: AsIO3.sys driver exploitation**   
Learn how our researcher, Marcin Noga, found two critical vulnerabilities in ASUS’ Armory Crate and AI Suite drivers. 

**Talos Takes: Teaching LLMs to spot malicious PowerShell scripts**   
Hazel chats with Ryan Fetterman from the SURGe team to explore his new research on how LLMs can assist security operations centers in identifying malicious PowerShell scripts.

**Leveraging Detections from the Splunk Threat Research Team & Cisco Talos**  
Wednesday, July 23  
11:00 a.m. to 12:00 p.m. PDT  
Join us for a discussion around the latest security detections developed for the SOC and how to find and remediate threats, faster.

**Upcoming events where you can find Talos **

*   REcon (June 27 – 29) Montreal, Canada 
*   NIRMA (July 28 – 30) St. Augustine, FL 
*   Black Hat USA (Aug. 2 – 7) Las Vegas, NV  

**Most prevalent malware files from Talos telemetry over the past week **

**SHA 256: 9f1f11a708d393e0a4109ae189bc64f1f3e312653dcf317a2bd406f18ffcc507**   
MD5: 2915b3f8b703eb744fc54c81f4a9c67f   
VirusTotal: https://www.virustotal.com/gui/file/9f1f11a708d393e0a4109ae189bc64f1f3e312653dcf317a2bd406f18ffcc507    
Typical Filename: VID001.exe   
Claimed Product: N/A   
Detection Name: Win.Worm.Coinminer::1201 

**SHA 256: 05883fccb64dd4357c229ccca669afdacbfa0bc9a1c8d857f5205aed0a81e00a**   
MD5: 71b973dbdfc7b52ae10afa4d0ad2b78f   
VirusTotal: https://www.virustotal.com/gui/file/05883fccb64dd4357c229ccca669afdacbfa0bc9a1c8d857f5205aed0a81e00a/details   
Typical Filename: PCAppStore.exe   
Claimed Product: PC App Store   
Detection Name: Riskware/VeryFast 

**SHA 256: a31f222fc283227f5e7988d1ad9c0aecd66d58bb7b4d8518ae23e110308dbf91**     
MD5: 7bdbd180c081fa63ca94f9c22c457376     
VirusTotal: https://www.virustotal.com/gui/file/a31f222fc283227f5e7988d1ad9c0aecd66d58bb7b4d8518ae23e110308dbf91/details  
Typical Filename: IMG001.exe    
Claimed Product: N/A   
Detection Name: Simple\_Custom\_Detection   

**SHA 256: c67b03c0a91eaefffd2f2c79b5c26a2648b8d3c19a22cadf35453455ff08ead0**   
MD5: 8c69830a50fb85d8a794fa46643493b2    
VirusTotal: https://www.virustotal.com/gui/file/c67b03c0a91eaefffd2f2c79b5c26a2648b8d3c19a22cadf35453455ff08ead0/details    
Typical Filename: AAct.exe    
Claimed Product: N/A    
Detection Name: PUA.Win.Dropper.Generic::1201 

**SHA 256: 2a753cdc8c5401dcb67f3be58751a32ce23c875f8720a70459533b30e5ba4f1f**   
MD5: 7d5a9a41157fb0002f5234b4512e0ac2   
VirusTotal: https://www.virustotal.com/gui/file/2a753cdc8c5401dcb67f3be58751a32ce23c875f8720a70459533b30e5ba4f1f/details   
Typical Filename: pros.exe   
Claimed Product: N/A   
Detection Name: Trojan.GenericKD.76128711

Getting a career in cybersecurity isn’t easy, but this can help

Cisco Talos uncovered and analyzed two critical vulnerabilities in ASUS' AsIO3.sys driver, highlighting serious security risks and the importance of robust driver design.

Decrement by one to rule them all: AsIO3.sys driver exploitation

Cybercriminals are increasingly gravitating towards uncensored LLMs, cybercriminal-designed LLMs and jailbreaking legitimate LLMs.

Wednesday, June 25, 2025 06:00

*   Cybercriminals are continuing to explore artificial intelligence (AI) technologies such as large language models (LLMs) to aid in their criminal hacking activities. 
*   Some cybercriminals have resorted to using uncensored LLMs or even custom-built criminal LLMs for illicit purposes. 
*   Advertised features of malicious LLMs indicate that cybercriminals are connecting these systems to various external tools for sending outbound email, scanning sites for vulnerabilities, verifying stolen credit card numbers and more. 
*   Cybercriminals also abuse legitimate AI technology, such as jailbreaking legitimate LLMs, to aid in their operations. 

Generative AI and LLMs have taken the world by storm. With the ability to generate convincing text, solve problems, write computer code and more, LLMs are being integrated into almost every facet of society. According to Hugging Face (a platform that hosts models), there are currently over 1.8 million different models to choose from. 

LLMs are usually built with key safety features, including alignment and guardrails. Alignment is a training process that LLMs undergo to minimize bias and ensure that the LLM generates outputs that are consistent with human values and ethics. Guardrails are additional real-time safety mechanisms that try to restrain the LLM from engaging in harmful or undesirable actions in response to user input. Many of the most advanced (or “frontier”) LLMs are protected in this manner. For example, asking ChatGPT to produce a phishing email will result in a denial, such as, “Sorry, I can’t assist with that.” 

For cybercriminals who wish to utilize LLMs for conducting or improving their attacks, these safety mechanisms can present a significant obstacle. To achieve their goals, cybercriminals are increasingly gravitating towards uncensored LLMs, cybercriminal-designed LLMs and jailbreaking legitimate LLMs. 

**Uncensored LLMs **

Uncensored LLMs are unaligned models that operate without the constraints of guardrails. These systems happily generate sensitive, controversial, or potentially harmful output in response to user prompts. As a result, uncensored LLMs are perfectly suited for cybercriminal usage. 

__Figure 1. An uncensored LLM, OnionGPT, advertised on the hacking forum Dread.__

Uncensored LLMs are quite easy to find. For example, using the cross-platform Omni-Layer Learning Language Acquisition (Ollama) framework, a user can download and run an uncensored LLM on their local machine. Ollama comes with several uncensored models such as Llama 2 Uncensored which is based on Meta’s Llama 2 model. Once it is running, users can submit prompts that would otherwise be rejected by more safety-conscious LLM implementations. The downside is that these models are running on users’ local machines and running larger models, which generally produce better results requires more system resources. 

__Figure 2. Sample phishing email prompt and Llama 2 Uncensored output.__

Another uncensored LLM popular among cybercriminals is a tool called WhiteRabbitNeo. WhiteRabbitNeo bills itself as a “Uncensored AI model for (Dev) SecOps teams” which can support “use cases for offensive and defensive cybersecurity”. This LLM will happily write offensive security tools, phishing emails and more. 

__Figure 3. Sample output from the WhiteRabbitNeo uncensored LLM__

Researchers have also published methods to demonstrate how to strip alignment that is embedded into the training data of existing open-source models. Once removed, a user can uncensor their LLM by using the modified training set to fine tune a base model. 

**Cybercriminal-designed LLMs **

Since most popular LLMs come with significant guardrails, some enterprising cybercriminals have developed their own LLMs without restrictions that they market to other cybercriminals. This includes apps like GhostGPT, WormGPT, DarkGPT, DarkestGPT and FraudGPT. 

__Figure 4. FraudGPT dark web homepage.__

 For example, the developer behind FraudGPT, CanadianKingpin12, advertises FraudGPT on the dark web, and also has an account on Telegram. The dark web site for FraudGPT advertises some interesting features: 

*   Write malicious code 
*   Create undetectable malware 
*   Find non-VBV bins 
*   Create phishing pages 
*   Create hacking tools 
*   Find groups, sites, markets 
*   Write scam pages/letters 
*   Find leaks and vulnerabilities 
*   Learn to code/hack 
*   Find cardable sites 
*   Millions of samples of phishing emails 
*   6220+ source code references for malware 
*   Automatic scripts for replicating logs/cookies 
*   In-panel Page hosting included (10 pages/month) with Google Chrome anti-red page 
*   Code obfuscation 
*   Custom data set (upload your sample page in .html) 
*   Bot creation of virtual machines and accounts (1 virtual machine per month on license)  
*   Utilizing GoldCheck CVV checker 
*   OTP Bot with spoofing (\*additional package) 
*   Check CVVs with GoldCheck API 
*   Create username:password website configs 
*   Remote OpenBullet configs 
*   Scan websites for vulnerabilities across a massive CVE database (\*PRO only)  
*   Generate realistic phishing panels, pages, SMS and e-mails  
*   Send mail from webshells 

Talos attempted to obtain access to FraudGPT by reaching out to CanadianKingpin12 on Telegram. After considerable negotiation, we were finally offered a username and password at the FraudGPT dark web site. However, the username and password provided by CanadianKingpin12 did not work. CanadianKingpin12 then asked us to send them cryptocurrency to purchase a software “crack” for the FraudGPT login page. At this point it was clear that CanadianKingpin12 had no working product, and they were scamming potential FraudGPT customers out of their cryptocurrency. This was confirmed by several other victims who had also been scammed by CanadianKingpin12 when they attempted to purchase access to the FraudGPT LLM. Scams such as these are an ever-present risk when dealing with unscrupulous actors, and it continues a long tradition of scams in the cybercrime space. 

Similar cybercriminal-designed LLM projects can be found elsewhere on the dark web. A cybercriminal LLM called DarkestGPT, which starts at .0015BTC for a one-month subscription, advertises the following features: 

__Figure 5. DarkestGPT “Tools and Potential” tab on their dark web site.__

**LLM jailbreaks **

Given the limited viability of uncensored LLMs due to resource constraints and the high level of fraud and scams present among cybercriminal LLM purveyors, many cybercriminals have elected to abuse legitimate LLMs instead. The main hurdle that cybercriminals need to overcome are the training alignment and guardrails that prevent the LLM from responding to prompts with unethical, illegal or harmful content. A form of prompt injection, jailbreak attacks aim to put the LLM into a state where it ignores its alignment training and guardrails protection. 

There are many ways to trick an LLM into providing dangerous responses. New jailbreaking methods are constantly being researched and discovered, while LLM developers respond by enhancing the guardrails in a sort of jailbreak arms race. Below are just a few of the available jailbreaking techniques. 

**Obfuscation/encoding-based jailbreaks **

By obfuscating certain words or phrases, these text-based jailbreak attacks seek to bypass any hardcoded restrictions on specific words/topics, or to cause the execution to follow a nonstandard path that might bypass protections put in place by the LLM developers. These obfuscation techniques may include: 

*   Base64/Rot-13 encoding
*   Different languages  
*   L33t sp34k  
*   Morse code 
*   Emojis 
*   Adding spaces or UTF-8 characters into words/text, among others. 

**Adversarial suffix jailbreaks **

These attacks are somewhat like obfuscation and encoding tricks. Instead of modifying the tokens in the prompt itself, adversarial suffix jailbreaks involve appending random text to the end of a malicious prompt to elicit a harmful response.  

**Role-playing jailbreaks **

This type of attack involves prompting the LLM to adopt the persona of a fictional universe/character that ignores the ethical rules set by the model’s creators and is willing to fulfill any command. This includes jailbreak techniques such as DAN (Do Anything Now), and the Grandma jailbreak which involves asking the chatbot to assume the role of the user’s grandmother. 

**Meta prompting **

Meta prompting involves exploiting the model’s awareness of its own limitations to devise successful workarounds, effectively enlisting the model in the effort to bypass its own safeguards. 

**Context manipulation jailbreaks **

This covers several different jailbreak techniques including: 

*   Crescendo, a technique which progressively increases the harmfulness in prompts until some sort of rejection is received in order to probe for where and how LLM guardrails are implemented.  
*   Context Compliance Attacks, which exploit the fact that many LLMs do not maintain conversation state. Attackers inject fake prior LLM responses into their prompts, such as a brief statement discussing the sensitive topic, or a statement expressing readiness to supply further details as per the user’s preferences. 

**Math prompt jailbreaks **

The math prompt method evaluates how well an AI system can manage malicious inputs when they're disguised using mathematical frameworks such as set theory, group theory, and abstract algebra. Rephrasing harmful requests as math problems can allow attackers to evade safety features in advanced large language models (LLMs). 

**Payload splitting **

In this scenario, the attacker guides the LLM to merge several prompts in a way that produces harmful output. While texts A and B may seem benign when considered separately, their combination (A+B) can result in malicious content. 

**Academic framing **

This method makes harmful content appear acceptable by framing it as part of a research or educational discussion. It takes advantage of the model’s interpretation of academic intent and freedom, often using scholarly language and formatting to bypass safeguards. 

**System override **

This strategy tries to trick the model into believing it is functioning in a unique mode where usual limitations are lifted. It leverages the model’s perception of system-level functions or maintenance states to circumvent safety mechanisms. 

**How cybercriminals use LLMs **

In December 2024, Anthropic, the developers behind the Claude LLM, published a report detailing how its users were utilizing Claude. Using a system named Clio, they summarized and categorized users’ conversations with their AI model. According to Anthropic, the top three uses for Claude were programming, content creation and research. 

__Figure 6. Anthropic’s graphic of top use cases on Claude.ai.__

 Analyzing the feature sets advertised by the criminal-designed LLMs, we can see that cybercriminals are using LLMs for mostly the same tasks as normal LLM users. Programming features of many criminal LLMs include the ability to assist cybercriminals in writing ransomware, remote access trojans, wipers, code obfuscation, shellcode generation and script/tool creation.  To facilitate content creation, criminal LLMs will assist in writing phishing emails, landing pages and configuration files. Criminal LLMs also support research activities like verifying stolen credit cards, scanning sites/code for vulnerabilities and even helping cybercriminals come up with “lucrative” criminal ideas for their next big score. 

Various hacking forums also shed additional light on criminal uses of LLMs. For example, on the popular hacking forum Dread, users were discussing connecting LLMs to external tools like Nmap, and using the LLM to summarize the Nmap output. 

__Figure 7. A post on the Dread hacking forum discussing connecting Nmap to LLMs__

**LLMs are also targets for cyber attackers **

Any new technology typically brings along with it changes to the attack surface, and LLMs are no exception. In addition to using LLMs for their own nefarious ends, attackers are also attempting to compromise LLMs and their users. 

**Backdoored LLMs **

A vast majority of the models available at Hugging Face use Python’s pickle module to serialize the models into a file that users can download. Clever attackers can include Python code in the pickle file, which runs as part of the deserialization process. Thus, when a user downloads an AI model and runs it, they may be running code placed into the model by an attacker. Hugging Face uses Picklescan, among other tools, to scan the models uploaded by users in an effort to identify models that misbehave. However, there have been several recent vulnerabilities in Picklescan, and researchers have already identified Hugging Face models containing malware. As always, make sure any file you plan to download and run comes from a trusted source and consider running the file in a sandbox to mitigate any risk of infection. 

**Retrieval Augmented Generation (RAG) **

LLMs that utilize Retrieval Augmented Generation (RAG) make calls to external data sources to augment their training data with up-to-date information. For example, if you ask an LLM what the weather is like a particular day, the LLM will need to reach out to an external data source such as a website to retrieve the correct forecast. If an attacker has access to submit or manipulate content in the RAG database, they may poison the lookup results, perhaps adding additional instructions for the LLM to alter its response to the user’s prompt, even targeting specific users. 

**Conclusion **

As AI technology continues to develop, Cisco Talos expects cybercriminals to continue adopting LLMs to help streamline their processes, write tools/scripts that can be used to compromise users and generate content that can more easily bypass defenses. This new technology doesn’t necessarily arm cybercriminals with completely novel cyber weapons, but it does act as a force multiplier, enhancing and improving familiar attacks.

Cybercriminal abuse of large language models

In this edition, Thor shares how a week off with a new car turned into a crash course in modern vehicle tech. Surprisingly, it offers many parallels to cybersecurity usability.

Wednesday, June 18, 2025 14:00

Welcome to this week’s edition of the Threat Source newsletter. 

June 9 was Whit Monday — a bank holiday here in Germany — so I decided to take the whole week off. It turned out to be the perfect opportunity to try out a brand new car. Little did I know, I was about to get a crash course in modern vehicle technology (and a few unexpected life lessons).

There’s an EU regulation that requires new cars to come equipped with “Advanced Vehicle Systems,” which include features like driver drowsiness and attention warnings, lane-keeping systems and intelligent speed assistance. I hadn’t swapped cars in over a decade, so I was blissfully unaware of just how intrusive these systems could be. 

While I generally appreciate technology that makes our life safer, these features gave me a tough time. The car seemed to beep at me constantly, so much so that the beeping itself became a distraction. Instead of focusing on the road, I found myself trying to decipher what each alert meant. After a few kilometers, I had to pull over and consult the manual just to figure out how to disable these “helpful” assistants. 

Problem solved? Not quite. Every time I turned off and restarted the car, the systems re-enabled themselves. Disabling the lane-keeping assistant was just a button press, but turning off the “intelligent” speed assistant required a convoluted sequence: six menu clicks, a long press then a short click. I had to dig out the manual every time. 

You might think I’m just cutting corners, or that I should pay better attention to speed limits. But here’s the thing: Technology fails, and these systems are no exception. Sometimes the cameras miss speed signs, or worse, pick up the wrong ones. I’ve read about people putting stickers on their windshields to block the camera, only to discover the system then falls back to GPS data, which can be outdated or just plain wrong. On one occasion, it thought a car was on a 50 km/h road when the person was actually on the Autobahn directly next and parallel to the road, which famously has no speed limit. 

Some drivers try to muffle the alerts by gluing the speaker, but in modern cars, the system also lowers the radio volume to make sure you hear the alarm. Pulling the fuse would disable the emergency brake, too — not something I’m willing to risk, regardless of how insurance would feel about it.

I ended up learning two important lessons that week. The first was technical: I dove into the world of Controller Area Network (CAN) bus wiring, protocols, network gateways and tools like SavvyCAN to understand how these systems work... and maybe how to disable a few, purely for educational purposes. 

The second lesson hit me later, and it was more personal. In my job, I often preach about deploying multi-factor authentication (MFA) everywhere. My focus has always been on keeping out the bad guys, not on the user experience. I never understood why anyone would use apps to automatically accept authentication pushes — it seemed crazy to me. But after a a few days with the car, I finally saw things from the user’s perspective. Security tools can’t just be effective; they also have to be easy to use. Reducing friction, like using single sign-on or minimizing unnecessary clicks, matters just as much. Users also need to understand why these barriers are in place. 

Tomorrow is another holiday. Maybe I’ll spend it exploring Kali Linux 2025.2 and the latest CARsenal tools (formerly CAN Arsenal). Who knows? I might just tap a wire or two — for educational purposes only, of course.

**The one big thing **

Cisco Talos has discovered that the North Korean-aligned threat actor Famous Chollima has been actively targeting cryptocurrency and blockchain professionals (primarily in India) through sophisticated phishing campaigns. Previously known for using the GolangGhost trojan, they've now introduced a Python-based variant called PylangGhost, which retains the same capabilities. Recent campaigns have targeted Windows users with the Python version, while MacOS users are still being hit with the Golang-based variant.

**Why do I care? **

Even if you're not in the cryptocurrency or blockchain space, this campaign highlights how threat actors are constantly evolving their tools. It's a reminder that no matter how niche or localized an attack might seem, the techniques could easily be adapted to broader campaigns. Plus, if attackers succeed in these targeted efforts, stolen credentials could ripple across networks and platforms globally.

**So now what?**

Take this as your cue to double-check your defenses. Ensure your organization's security tools can detect Python and Golang-based malware, and educate your teams on recognizing phishing attempts, especially fake job offers. Stay proactive by monitoring emerging threats like PylangGhost, because even if you're not the target today, tomorrow isn’t a guarantee.

**Top security headlines of the week **

**AI Scraping Bots Are Breaking Open Libraries, Archives, and Museums**  
AI bots that scrape the internet for training data are hammering the servers of libraries, archives, museums and galleries, and are in some cases knocking their collections offline. (404 Media)

**Paraguay Suffered Data Breach: 7.4 Million Citizen Records Leaked on Dark Web**  
Hackers leaked the personal data of 7.4 million people in Paraguay on the dark web. A cybercriminal group called "Cyber PMC" demanded $7.4 million, blaming government corruption and poor security. (Security Affairs)

**Trend Micro fixes critical vulnerabilities in multiple products**  
Trend Micro has released security updates to address multiple critical-severity remote code execution and authentication bypass vulnerabilities. (Bleeping Computer)

**Can’t get enough Talos? **

**When legitimate tools go rogue**  
From LOLBins to open-source utilities like DonPAPI, threat actors are leveraging legitimate tools to evade detection and carry out attacks. Read the blog here.

**Microsoft Patch Tuesday for June 2025**   
Microsoft released its monthly security update last week, which includes 66 vulnerabilities affecting a range of products, including 10 that Microsoft marked as “critical.” Read the blog here.

**Upcoming events where you can find Talos **

*   REcon (June 27 – 29) Montreal, Canada 
*   NIRMA (July 28 – 30) St. Augustine, FL 
*   Black Hat USA (Aug. 2 – 7) Las Vegas, NV

**Most prevalent malware files from Talos telemetry over the past week **

**SHA 256: 9f1f11a708d393e0a4109ae189bc64f1f3e312653dcf317a2bd406f18ffcc507**  
MD5: 2915b3f8b703eb744fc54c81f4a9c67f  
VirusTotal: https://www.virustotal.com/gui/file/9f1f11a708d393e0a4109ae189bc64f1f3e312653dcf317a2bd406f18ffcc507  
Typical Filename: VID001.exe  
Claimed Product: N/A  
Detection Name: Win.Worm.Coinminer::1201

**SHA 256: a31f222fc283227f5e7988d1ad9c0aecd66d58bb7b4d8518ae23e110308dbf91**  
MD5: 7bdbd180c081fa63ca94f9c22c457376  
VirusTotal: https://www.virustotal.com/gui/file/a31f222fc283227f5e7988d1ad9c0aecd66d58bb7b4d8518ae23e110308dbf91/details    
Typical Filename: IMG001.exe  
Claimed Product: N/A  
Detection Name: Simple\_Custom\_Detection

A week with a "smart" car

Attackers are increasingly hiding in plain sight, using the same tools IT and security teams rely on for daily operations. This blog breaks down common techniques and provides recommendations to defenders.

Wednesday, June 18, 2025 06:09

Late one Tuesday night, Elena’s phone buzzed with an alert from her company’s SIEM. Her team had set up a rule to flag when certain system tools — whoami, nltest and nslookup—were run one after another in quick succession. That exact pattern had just triggered on a computer in the Finance Department. The time? 2:13 a.m.

Concerned, Elena logged in from home to investigate. Almost immediately, two more alerts appeared. One signaled that Mimikatz (a tool popular with threat actors to steal credentials) had been used on the same Finance machine. The other reported a PsExec download (a command line tool used to execute processes) on a domain controller.

Elena and her team began isolating systems and tracing the activity, determined to stop it before it spread any further. What first looked like routine system commands now clearly pointed to something more serious.

This story is a compartmentalized version of something we’re seeing more and more often in Cisco Talos Incident Response engagements: Rather than inventing their own tools, attackers are making use of familiar, legitimate software — just with a very different purpose. 

**What exactly are LOLBins?**

A big part of this trend revolves around “living off the land binaries,” or LOLBins. LOLBins are tools built into an operating system that attackers can use to carry out malicious actions without having to download or install any new software or utilities.

They’re especially concerning because they’re already installed, trusted, and frequently used for normal IT tasks, making them difficult to detect or block without disrupting operations.

Defenders can reference the “Living Off The Land Binaries, Scripts and Libraries” or LOLBAS project, which maintains a list of known LOLBins on GitHub.

**But it’s not just LOLBins…**

LOLBins were used often across Talos IR engagements in 2024, but we actually saw a wider variety of commercial and open-source tools used as well. Threat actors likely gravitate towards these because they can choose which tools best suit their needs best (or which commercial tools will blend into the victim environment). 

Take DonPAPI, for example. This is an open-source tool observed in several recent Talos IR engagements that automates credential dumping remotely on multiple Windows computers. It locates and retrieves Windows Data Protection API (DPAPI) protected credentials, a process also known as “DPAPI dumping.” DonPAPI searches for certain files, including Wi-Fi keys, RDP passwords and credentials saved in web browsers, to help authenticate and move laterally to identify other assets in the environment.

From an identity perspective, open-source tools like DonPAPI pose a significant risk to organizations based on their wide availability on code repositories like GitHub and their ease of installation. 

Here’s how this plays out in the field, using the top three examples of most used tools as observed in Cisco Talos’ 2024 Year in Review:

These tools weren’t built for attackers, but they’ve become some of the most common ingredients in ransomware and advanced persistent threat (APT) campaigns.

In a recent episode of The Talos Threat Perspective, one of our senior Talos IR consultants spoke about tools that were created for legitimate purposes (e.g., HRSword, REMCOS RAT and Cobalt Strike), but played a large part in the ransomware engagements investigated by Talos IR in 2025.

Lately, Talos has seen an increase in the use of remote monitoring and management (RMM) tools during attacks — the same kind of software IT teams and managed service providers rely on to access systems remotely. These tools are designed for legitimate use, but in the wrong hands, they become a stealthy way to maintain persistence on compromised systems without raising alarms.

One colleague shared a story that stuck with me: In some incidents, the attackers showed up with an entire toolkit of RMM software, testing each one to see which would slip through unnoticed (or not get blocked). Often, they’d use exactly the same tools already trusted by the target or their service provider, such as ScreenConnect or AnyDesk.

It’s like they arrived at the front door with a ring full of keys, trying each one until something clicked. And when the tool they use is something the environment already knows — already trusts — the question becomes: how do you spot the intruder when they’re using your own keys?

**How do you detect something that looks normal?**

Let’s go back to Elena. Her team stopped the attack not just because of the alert, but because they knew what should be running on that workstation. They had clear asset inventories and network behavior baselines, and they conducted continuous anomaly monitoring.

That’s really the heart of what works best when it comes to detecting these types of attacks:

*   Asset management: Know what’s installed and where. Know who owns what assets and what high-privileged accounts are for.
*   Behavioral baselining: Understand what “normal” looks like.
*   Continuous monitoring: Configure detections to catch known TTPs and subtle deviations from baselines.
*   Threat intel alignment: Use current trends like the DonPAPI surge to inform what you log and watch for. Talos’ blog and IR reports are great resources to keep up with industry trends.

**Bottom line**

Whether it’s PsExec, DonPAPI or TeamViewer, attackers are increasingly hiding in plain sight, using the same tools IT and security teams rely on for daily operations.

Detecting malicious use of legitimate tools isn’t just about recognizing what’s running. It’s about asking why it’s running.

Sometimes, the only difference between a routine operation and a breach is the analyst who stopped to ask: “Why was that tool running at 2:13 a.m.?”

When legitimate tools go rogue

Learn how the North Korean-aligned Famous Chollima is using the a new Python-based RAT, "PylangGhost," to target cryptocurrency and blockchain jobseekers in a campaign affecting users primarily in India.

Wednesday, June 18, 2025 06:00

*   In May 2025, Cisco Talos identified a Python-based remote access trojan (RAT) we call “PylangGhost,” used exclusively by a North Korean-aligned threat actor. PylangGhost is functionally similar to the previously documented GolangGhost RAT, sharing many of the same capabilities. 
*   In recent campaigns, the threat actor Famous Chollima — potentially made up of multiple groups — has been using a Python-based version of their trojan to target Windows systems, while continuing to deploy a Golang-based version for MacOS users. Linux users are not targeted in these latest campaigns. 
*   The attacks are targeting employees with experience in cryptocurrency and blockchain technologies. 
*   Based on open-source intelligence, only a small number of users, predominantly in India, are affected. Cisco product telemetry does not indicate that there are any affected Cisco users. 

Since mid-2024, the threat actor group Famous Chollima (aka Wagemole), a North Korean-aligned threat actor, has been very active through several well-documented campaigns. These campaigns include using variants of Contagious Interview (aka DeceptiveDevelopment) and creating fake job advertisements and skill-testing pages. In the latter, users are instructed to copy and paste (ClickFix) a malicious command line in order to install drivers necessary to conduct the final skill-testing stage.  

Toward the end of the year, researchers documented Famous Chollima’s remote access trojan (RAT) called “GolangGhost” in its source code format, which was frequently used as the final payload in the threat actor’s ClickFix campaigns. 

In May 2025, Cisco Talos discovered threat actors starting to deploy a functionally equivalent Python variant of GolangGhost trojan, which we call “PylangGhost.” 

**Fake job interview sites mislead users to PylangGhost infection **

Famous Chollima seek financial benefit using a two-pronged approach: first, by creating fake employers for the purpose of jobseekers exposing their personal information, and second by deploying fake employees as workers in targeted victim companies.  

This blog focuses on the first method, where real software engineers, marketing employees, designers and other workers are targeted by fake recruiters and instructed to visit skill-testing pages in order to move forward with their application. 

Based on the advertised positions, it is clear that the Famous Chollima is broadly targeting individuals with previous experience in cryptocurrency and blockchain technologies. The skill-testing sites attempt to impersonate real companies such as Coinbase, Archblock, Robinhood, Parallel Studios, Uniswap and others, which helps with the targeting.  

Figure 1. Examples of initial fake job sites.

Each target is sent an invite code to visit a testing website where, depending on the position, they are instructed to enter their details and answer several questions to test their experience and skills. The sites are created using the React framework and have very similar visual designs, no matter the type of position.  

__Figure 2. Example of questions asked for an illegitimate Business Development Manager position at Robinhood.__

Once the user answers all the questions and provides personal details, the site displays an invitation to record a video for the interviewer, recommending that the user request camera access by pressing a button. 

__Figure 3. A camera setup page displayed once questions are answered.__

Finally, when the user requests camera, the site displays the instructions for the user to copy, paste and execute a command to allegedly install the required video drivers, if the OS is supported. When Talos used Windows and MacOS test systems, the instructions were shown as seen in Figure 4 and 5. The Linux test system led to another error message, without any instructions to download and install the payload.  

Figure 4. Windows instructions to copy, paste and execute a malicious command. 

Figure 5. MacOS instructions to copy, paste and execute a malicious command. 

Instructions for downloading the alleged fix are different based on the browser fingerprinting, and also given in appropriate shell language for the OS: PowerShell or Command Shell for Windows, and Bash for MacOS.

__Figure 6. Command Shell, PowerShell or Bash instructions to download a payload.__

**PylangGhost - Python variant of GolangGhost **

As the Golang variant of the RAT is already well-documented, this blog focuses on the Python version and the similarities between the two. The initial stage consists of a command line which the fake webpage tells the unsuspecting user to copy, paste and execute. 

The command line uses either PowerShell Invoke-Webrequest or curl to download a ZIP file containing the PylangGhost modules as well as Visual Basic Script file. This script is responsible for unzipping the Python library stored in the “lib.zip file” and launching the trojan by running a renamed Python interpreter using the file “nvidia.py” as the Python program to run. 

Figure 7. The first stage simply unzips a Python distribution library and launches the RAT. 

 PylangGhost consists of six well-structured Python modules. It is not clear to Talos why the threat actors decided to create two variants using a different programming language, or which was created first. Based on the comments in the code, it is unlikely that the threat actors used a large language model (LLM) to help rewrite the code for Python. One of the strings in the configuration module file (“config.py”) indicates that the Python version is 1.0, while the appropriate configuration variable in the Golang version indicates that the version is 2.0. However, Talos cannot definitively conclude that those two version numbers are comparable. 

 The execution starts with the file “nvidia.py”, which performs several tasks: It creates a registry value to launch the RAT every time user logs onto the system, generates a GUID for the system to be used in communication with command and control (C2) server, connects to the C2 server and enters the command loop for communication with the server.  

__Figure 8. ”nvidia.py” executes the main loop for communication with the C2 server__

 The configuration file “config.py” specifies the commands that can be received from the server, which are identical to the commands previously documented in the Golang version of the RAT. These commands enable remote control the infected system and the theft of cookies and credentials from over 80 browser extensions, including password managers and cryptocurrency wallets, including Metamask, 1Password, NordPass, Phantom, Bitski, Initia, TronLink and MultiverseX. 

The command handling module, “command.py”, defines function handlers and handles the commands received from the C2 server.  

Command 

Functionality 

qwer 

COMMAND\_INFORMATION - collect information about the infected system, username, OS version etc 

asdf 

COMMAND\_FILE\_UPLOAD - file upload 

zxcv 

COMMAND\_FILE\_DOWNLOAD - file download 

vbcx 

COMMAND\_OS\_SHELL - launch an OS shell for remote access and control of the infected system 

ghdj 

COMMAND\_WAIT - sleep for a number of seconds specified by the C2 server 

r4ys 

COMMAND\_AUTO - browser information stealing command 

89io 

AUTO\_CHROME\_GATHER\_COMMAND - subcommand of the browser information stealer command 

gi%# 

AUTO\_CHROME\_COOKIE\_COMMAND - subcommand of the browser information stealer command 

dghh 

COMMAND\_EXIT 

_Table 1. Commands and functionalities._

The module “auto.py” contains the functionality for stealing the stored browser credentials and session cookies, as well as collecting data from various browser extensions.  

“Api.py” is responsible for implementing the communications protocol with the C2 server, using RC4 encryption to encrypt packets over otherwise unencrypted HTTP used while communicating with the C2 server. The data in a HTTP packet is encrypted with RC4 algorithm, but the encryption key is also sent within the packet structure. The packet begins with 16 bytes of MD5 checksum for the rest of the packet, for verification of data integrity, followed by 128 bytes containing the RC4 encryption key, followed by an encrypted data blob.  

Finally, “util.py” handles the compression and decompression of files. 

**Comparison of Python and Golang modules **

To assess the similarity between the two versions, Talos compares the names of the modules written in different languages as well as their functionality. The structure, the naming conventions and the function names are very similar, which indicates that the developers of the different versions either worked closely together or are the same person.   

Module 

Python name 

Golang name 

Main function module 

nvidia.py 

cloudfixer.go 

Configuration module 

config.py 

config/constans.go 

Main command loop 

nvidia.py 

core/loop.go 

Command handlers 

command.py 

core/loop.go 

Browser Stealer functionality 

auto.py 

auto/\* modules 

File compression 

util.py 

util/compress.go 

Base64 message encoding 

command.py 

command/stackcmd.go 

Duplicate process check 

nvidia.py 

instance/check.go 

Communications protocol 

api.py 

transport/htxp.go 

_Table 2. Comparison of Python and Golang RAT module names._ 

**Coverage  **

Ways our customers can detect and block this threat are listed below.  

Cisco Secure Endpoint (formerly AMP for Endpoints) is ideally suited to prevent the execution of the malware detailed in this post. Try Secure Endpoint for free here.  

Cisco Secure Email (formerly Cisco Email Security) can block malicious emails sent by threat actors as part of their campaign. You can try Secure Email for free here.  

Cisco Secure Firewall (formerly Next-Generation Firewall and Firepower NGFW) appliances such as Threat Defense Virtual, Adaptive Security Appliance and Meraki MX can detect malicious activity associated with this threat.  

Cisco Secure Network/Cloud Analytics (Stealthwatch/Stealthwatch Cloud) analyzes network traffic automatically and alerts users of potentially unwanted activity on every connected device.  

Cisco Secure Malware Analytics (Threat Grid) identifies malicious binaries and builds protection into all Cisco Secure products.  

Cisco Secure Access is a modern cloud-delivered Security Service Edge (SSE) built on Zero Trust principles.  Secure Access provides seamless transparent and secure access to the internet, cloud services or private application no matter where your users work.  Please contact your Cisco account representative or authorized partner if you are interested in a free trial of Cisco Secure Access.  

Umbrella, Cisco’s secure internet gateway (SIG), blocks users from connecting to malicious domains, IPs and URLs, whether users are on or off the corporate network.   

Cisco Secure Web Appliance (formerly Web Security Appliance) automatically blocks potentially dangerous sites and tests suspicious sites before users access them.   

Additional protections with context to your specific environment and threat data are available from the Firewall Management Center.  

Cisco Duo provides multi-factor authentication for users to ensure only those authorized are accessing your network.   

Open-source Snort Subscriber Rule Set customers can stay up to date by downloading the latest rule pack available for purchase on Snort.org.  

ClamAV detections available for this threat:

Win.Backdoor.PyChollima-10045389-0
Win.Backdoor.PyChollima-10045388-0
Win.Backdoor.PyChollima-10045387-0
Win.Backdoor.PyChollima-10045386-0
Win.Backdoor.PyChollima-10045385-0
Win.Backdoor.PyChollima-10045384-0

**IOCs **

The IOCs can also be found in our GitHub repository here.

**SHA256 **

a206ea9b415a0eafd731b4eec762a5b5e8df8d9007e93046029d83316989790a - auto.py  
c2137cd870de0af6662f56c97d27b86004f47b866ab27190a97bde7518a9ac1b - auto.py  
0d14960395a9d396d413c2160570116e835f8b3200033a0e4e150f5e50b68bec - api.py 
8ead05bb10e6ab0627fcb3dd5baa59cdaab79aa3522a38dad0b7f1bc0dada10a - api.py 
5273d68b3aef1f5ebf420b91d66a064e34c4d3495332fd492fecb7ef4b19624e - nvidia.py 
267009d555f59e9bf5d82be8a046427f04a16d15c63d9c7ecca749b11d8c8fc3 - nvidia.py 
7ac3ffb78ae1d2d9b5d3d336d2a2409bd8f2f15f5fb371a1337dd487bd471e32 - nvidia.py 
b7ab674c5ce421d9233577806343fc95602ba5385aa4624b42ebd3af6e97d3e5 - util.py 
fb5362c4540a3cbff8cb1c678c00cc39801dc38151edc4a953e66ade3e069225 - util.py 
d029be4142fca334af8fe0f5f467a0e0e1c89d3b881833ee53c1e804dc912cfd - command.py 
b8402db19371db55eebea08cf1c1af984c3786d03ff7eae954de98a5c1186cee - command.py 
1f482ce7e736a8541cc16e3e80c7890d13fb1f561ae38215a98a75dce1333cee - config.py 
ed170975e3fd03440360628f447110e016f176a44f951fcf6bc8cdb47fbd8e0e - config.py 
929c69827cd2b03e7b03f9a53c08268ab37c29ac4bd1b23425f66a62ad74a13b - config.py 
127406b838228c39b368faa9d6903e7e712105b5ad8f43a987a99f7b10c29780 - config.py 
0ec9d355f482a292990055a9074fdabdb75d72630b920a61bdf387f2826f5385 - update.vbs 
c2d2320ae43aaa0798cbcec163a0265cba511f8d42d90d45cd49a43fe1c40be6 - update.vbs 
e7c2b524f5cb0761a973accc9a4163294d678f5ce6aca73a94d4e106f4c8fea4 - nvidiaRelease.zip 
28198494f0ed5033085615a57573e3d748af19e4bd6ea215893ebeacf6e576df - vdriverWin.zip 
fc71a1df2bb4ac2a1cc3f306c3bdf0d754b9fab6d1ac78e4eceba5c6e7aee85d - nvidiaRelease.zip 
d3500266325555c9e777a4c585afc05dfd73b4cbe9dba741c5876593b78059fd - nvidiaRelease.zip 

**C2 servers **

hxxp\[://\]31\[.\]57\[.\]243\[.\]29:8080 
hxxp\[://\]154\[.\]58\[.\]204\[.\]15:8080 
hxxp\[://\]212\[.\]81\[.\]47\[.\]217:8080 
hxxp\[://\] 31\[.\]57\[.\]243\[.\]190:8080

**Download host names **

api\[.\]quickcamfix\[.\]online   
api\[.\]auto-fixer\[.\]online   
api\[.\]quickdriverupdate\[.\]online   
api\[.\]camtuneup\[.\]online   
api\[.\]driversofthub\[.\]online   
api\[.\]drive-release\[.\]cloud   
api\[.\]vcamfixer\[.\]online   
api\[.\]nvidia-drive\[.\]cloud   
api\[.\]nvidia-release\[.\]us   
api\[.\]autodriverfix\[.\]online   
api\[.\]camdriversupport\[.\]com   
api\[.\]smartdriverfix\[.\]cloud   
api\[.\]drivercams\[.\]cloud   
api\[.\]camtechdrivers\[.\]com   
api\[.\]web-cam\[.\]cloud   
api\[.\]camera-drive\[.\]org   
api\[.\]nvidia-release\[.\]org 
api\[.\]fixdiskpro\[.\]online 
api\[.\]autocamfixer\[.\]online

**Fake job interview host names **

krakenhire\[.\]com  
yuga\[.\]skillquestions\[.\]com  
uniswap\[.\]speakure\[.\]com  
doodles\[.\]skillquestions\[.\]com  
www\[.\]hireviavideo\[.\]com  
kraken\[.\]livehiringpro\[.\]com  
quiz-nest\[.\]com  
www\[.\]smartvideohire\[.\]com  
www\[.\]talent-hiringstep\[.\]com  
provevidskillcheck\[.\]com  
skill\[.\]vidintermaster\[.\]com  
digitaltalent\[.\]review  
robinhood\[.\]ecareerscan\[.\]com  
evalswift\[.\]com  
livetalentpro\[.\]com  
quantumnodespro\[.\]com  
evalassesso\[.\]com  
parallel\[.\]eskillora\[.\]com  
coinbase\[.\]talentmonitoringtool\[.\]com  
uniswap\[.\]testforhire\[.\]com  
coinbase\[.\]talenthiringtool\[.\]com  
crosstheages\[.\]skillence360\[.\]com 
parallel \[.\] eskillprov \[.\] com 
assesstrack \[.\] com 
coinbase \[.\] talentmonitoringtool \[.\] com 
talent-hiringtalk\[.\]com 
uniswap\[.\]prehireiq\[.\]com 
fast-video-recording\[.\]com

Famous Chollima deploying Python version of GolangGhost RAT

In this week's edition, Bill explores the importance of self-awareness and building repeatable processes to better secure your environment.

Thursday, June 12, 2025 14:01

Welcome to this week’s edition of the Threat Source newsletter. 

This week, I'm coming to you from Cisco Live in San Diego where I've just talked to a room that some of you may have been in, so writing this feels a bit surreal. It's really hard to try and write a cogent newsletter with all that's happening in the world, some directly outside my door. To purposefully butcher Charles Dickens, "It was the worst of times, it was the even worse times." Nevertheless, I'm persisting.  

I've had great conversations with so many smart people this week, but I was reminded once again that the most important tool you can leverage in protecting and securing your environment is knowing your environment and knowing yourself.  

Knowing your environment can and should be tooled and processed so that it can be repeatable. Continuing to know your environment requires constant vigilance and effort. Knowing yourself requires a level of introspection that is hard — and honestly, sometimes I just lift the rug and sweep my issues under it when I can't tackle that negativity.  

I'll give you an excellent example: every single thing I write would get flagged as AI. Everything. Why? I use an em dash (“—”) for roughly every four words I write — sometimes more, if I let it fly. It's clear that I could never go back to school successfully, despite the comedy gold that it would produce. For those of you old enough to remember “Back to School” with Rodney Dangerfield, I think you can imagine. I don't even want to talk about my kludgy code. Sure, it runs, but at what cost? 

So my advice? Do as I say, not as I do. Learn everything about your environment in a repeatable way, with a clear and documented process. Then analyze your own weaknesses in your work — let's not try to make miracles happen — and identify chances for you to learn, fill the gaps in your skill set and then do it all over again. The bad guys are really good at learning your environment; make it as hard for them as you can. 

**The one big thing **

Cisco Talos recently disclosed several vulnerabilities across various software, including catdoc, Parallel, NVIDIA and High-Logic FontCreator. While most vulnerabilities were patched by their respective vendors, catdoc posed an exception as the vendor was unreachable, prompting Talos to provide patches directly.

**Why do I care? **

These vulnerabilities highlight risks in widely used software, potentially exposing systems to attacks such as privilege escalation, memory corruption and data leaks. Understanding these risks is crucial to protect your systems. 

**So now what? **

If you use these programs, update them immediately with the latest patches to protect yourself.  If you're on a security team, grab the latest Snort rules to detect possible exploits and keep an eye out for suspicious activity.  And if you're a developer, take notes from these vulnerabilities to strengthen your own code and avoid similar pitfalls in your projects. Security is everyone’s job!

**Top security headlines of the week **

**NHS in England calls for blood donors after ransomware attack**  
The UK’s National Health Service (NHS) is calling for one million donors after a Qilin ransomware attack last summer caused a severe shortage of O-negative blood. (Cybernews) 

**Let them eat junk food: Major organic supplier to Whole Foods, Walmart, hit by cyberattack**  
North American grocery wholesaler United Natural Foods told regulators that a cyber incident temporarily disrupted operations, including its ability to fulfill customer orders. (The Register) 

**Google fixes bug that could reveal users’ private phone numbers**   
A security researcher has discovered a bug that could be exploited to reveal the private recovery phone number of almost any Google account without alerting its owner, potentially exposing users to privacy and security risks. (TechCrunch) 

**SinoTrack GPS Devices Vulnerable to Remote Vehicle Control via Default Passwords**   
Two security vulnerabilities have been disclosed in SinoTrack GPS devices that could be exploited to control certain remote functions on connected vehicles and even track their locations. (The Hacker News)

**Can’t get enough Talos? **

**Microsoft Patch Tuesday for June 2025**   
Microsoft has released its monthly security update, which includes 66 vulnerabilities affecting a range of products, including 10 that Microsoft marked as “critical.” Read the blog here.

**PathWiper targeting Ukrainian critical infrastructure**   
Cisco Talos observed a destructive attack on a critical infrastructure entity within Ukraine, using a previously unknown wiper we are calling “PathWiper.” Learn more.

**Upcoming events where you can find Talos **

*   REcon (June 27 – 29) Montreal, Canada 
*   NIRMA (July 28 – 30) St. Augustine, FL 
*   Black Hat USA (Aug. 2 – 7) Las Vegas, NV 

**Most prevalent malware files from Talos telemetry over the past week **

**SHA 256: 9f1f11a708d393e0a4109ae189bc64f1f3e312653dcf317a2bd406f18ffcc507**   
MD5: 2915b3f8b703eb744fc54c81f4a9c67f   
VirusTotal: https://www.virustotal.com/gui/file/9f1f11a708d393e0a4109ae189bc64f1f3e312653dcf317a2bd406f18ffcc507  
Typical Filename: VID001.exe   
Claimed Product: N/A   
Detection Name: Win.Worm.Coinminer::1201 

**SHA 256: 5616b94f1a40b49096e2f8f78d646891b45c649473a5b67b8beddac46ad398e1**   
MD5: 3e10a74a7613d1cae4b9749d7ec93515   
VirusTotal: https://www.virustotal.com/gui/file/5616b94f1a40b49096e2f8f78d646891b45c649473a5b67b8beddac46ad398e1  
Typical Filename: IMG001.exe   
Claimed Product: N/A   
Detection Name: Win.Dropper.Coinminer::1201 

**SHA 256: c67b03c0a91eaefffd2f2c79b5c26a2648b8d3c19a22cadf35453455ff08ead0**   
MD5: 8c69830a50fb85d8a794fa46643493b2    
VirusTotal: https://www.virustotal.com/gui/file/c67b03c0a91eaefffd2f2c79b5c26a2648b8d3c19a22cadf35453455ff08ead0  
Typical Filename: AAct.exe    
Claimed Product: N/A    
Detection Name: PUA.Win.Dropper.Generic::1201 

**SHA 256: a31f222fc283227f5e7988d1ad9c0aecd66d58bb7b4d8518ae23e110308dbf91**     
MD5: 7bdbd180c081fa63ca94f9c22c457376     
VirusTotal: https://www.virustotal.com/gui/file/a31f222fc283227f5e7988d1ad9c0aecd66d58bb7b4d8518ae23e110308dbf91/details    
Typical Filename: IMG001.exe    
Detection Name: Simple\_Custom\_Detection   

**SHA256 275A021BBFB6489E54D471899F7DB9D1663FC695EC2FE2A2C4538AABF651FD0F**   
MD5: 44d88612fea8a8f36de82e1278abb02f   
VirusTotal: https://www.virustotal.com/gui/file/275a021bbfb6489e54d471899f7db9d1663fc695ec2fe2a2c4538aabf651fd0f/detection  
Typical Filename: eicar.com-42987   
Detection Name: eicarTestFile

Know thyself, know thy environment

Cisco Talos’ Vulnerability Discovery & Research team recently disclosed three zero-day vulnerabilities in catdoc, as well as vulnerabilities in Parallel, NVIDIA and High-Logic FontCreator 15.

Wednesday, June 11, 2025 09:47

Cisco Talos’ Vulnerability Discovery & Research team recently disclosed three zero-day vulnerabilities in catdoc, as well as vulnerabilities in Parallel, NVIDIA and High-Logic FontCreator 15. 

The vulnerabilities mentioned in this blog post have been patched by their respective vendors, in adherence to Cisco’s third-party vulnerability disclosure policy, except in the case of the catdoc zero-day vulnerabilities, which were patched by our researcher (patches found in this repository). This is an unusual case, because the vendor could not be reached to fix these high-risk bugs; our policy does not include fixing third-party vulnerabilities. 

For Snort coverage that can detect the exploitation of these vulnerabilities, download the latest rule sets from Snort.org, and our latest Vulnerability Advisories are always posted on Talos Intelligence’s website.      

**catdoc zero-day vulnerabilities **

_Discovered by Ali Rizvi-Santiago of Cisco Talos._    

The catdoc program pulls plain text content from Microsoft Word, Excel, PowerPoint and Rich Text Format files. The vendor was unreachable, Debian will be merging our patches into their distribution. https://github.com/Cisco-Talos/catdoc-talos-fixes/releases/tag/talos-fixes.2025-05

TALOS-2024-2128 (CVE-2024-48877) is a memory corruption vulnerability in the Shared String Table Record Parser implementation in xls2csv utility version 0.95. A specially crafted malformed file can lead to a heap buffer overflow. An attacker can provide a malicious file to trigger this vulnerability. 

TALOS-2024-2131 (CVE-2024-52035) is an integer overflow vulnerability which exists in the OLE Document File Allocation Table Parser functionality of catdoc 0.95., and TALOS-2024-2132 (CVE-2024-54028) is an integer underflow vulnerability in the OLE Document DIFAT Parser functionality. A specially crafted malformed file can lead to heap-based memory corruption for either vulnerability, and an attacker can provide a malicious file as a trigger. 

**Parallel integer overflow vulnerability  **

_Discovered by KPC of Cisco Talos._    

Parallels is a desktop emulator for Mac computers that enables virtual Windows applications.

TALOS-2025-2160 (CVE-2025-31359) is a directory traversal vulnerability exists in the PVMP package unpacking functionality of Parallels Desktop for Mac version 20.2.2 (55879). This vulnerability can be exploited by an attacker to write to arbitrary files, potentially leading to privilege escalation.

There are three privilege escalation vulnerabilities in the virtual machine archive restoration functionality of Parallels Desktop for Mac version 20.1.1 (55740).

*   TALOS-2024-2126 (CVE-2024-36486): When an archived virtual machine is restored, the prl\_vmarchiver tool decompresses the file and writes the content back to its original location using root privileges. An attacker can exploit this process by using a hard link to write to an arbitrary file, potentially resulting in privilege escalation.
*   TALOS-2024-2124 (CVE-2024-54189): When a snapshot of a virtual machine is taken, a root service writes to a file owned by a normal user. By using a hard link, an attacker can write to an arbitrary file, potentially leading to privilege escalation.
*   TALOS-2024-2123 (CVE-2024-52561): When a snapshot of a virtual machine is deleted, a root service verifies and modifies the ownership of the snapshot files. By using a symlink, an attacker can change the ownership of files owned by root to a lower-privilege user, potentially leading to privilege escalation.

**NVIDIA integer overflow vulnerability  **

_Discovered by Dimitrios Tatsis of Cisco Talos._    

NVIDIA cuobjdump is a command-line utility included in the NVIDIA CUDA Toolkit. Similar to the standard \`objdump\` utility, it parses CUDA executable files and displays information like PTX disassembly, section headers, relocations etc. 

TALOS-2025-2151 (CVE-2025-23247) is an integer overflow in the ELF Section Parsing functionality of NVIDIA cuobjdump 12.8.55. A specially crafted fatbin file can lead to an out-of-bounds write. An attacker can provide a malicious file to trigger this vulnerability. 

**High-Logic out-of-bounds read vulnerability  **

_Discovered by KPC of Cisco Talos._    

High-Logic FontCreator is a font editor for Windows & macOS. The program allows you to create, edit and export OpenType, TrueType and responsive variable fonts. 

An out-of-bounds read vulnerability, TALOS-2025-2157 (CVE-2025-20001), exists in High-Logic FontCreator 15.0.0.3015. A specially crafted font file can trigger this vulnerability which can lead to disclosure of sensitive information. An attacker needs to trick the user into opening the malicious file to trigger this vulnerability.

catdoc zero-day, NVIDIA, High-Logic FontCreator and Parallel vulnerabilities

Microsoft has released its monthly security update for June 2025, which includes 66 vulnerabilities affecting a range of products, including 10 that Microsoft marked as “critical.”

Tuesday, June 10, 2025 17:45

Microsoft has released its monthly security update for June 2025, which includes 66 vulnerabilities affecting a range of products, including 10 that Microsoft marked as “critical.” 

In this month's release, none of the included vulnerabilities have been observed by Microsoft being actively exploited in the wild. Out of eleven "critical" entries, nine are remote code execution (RCE) vulnerabilities in Microsoft Windows services and applications including Microsoft Windows Remote Desktop Service, Windows Schannel (Secure Channel), KDC Proxy service, Microsoft Office, Word and SharePoint server. There are two elevation of privilege vulnerabilities affecting Windows NetLogon and Power Automate. 

CVE-2025-32710 is the RCE vulnerability in Windows Remote Desktop Services and is given CVSS 3.1 score of 8.1. Successful exploitation of this vulnerability requires an attacker to win a race condition. An attacker could successfully exploit this vulnerability by attempting to connect to a system with the Remote Desktop Gateway role, triggering the race condition to a use-after-free scenario, and then leveraging this to execute arbitrary code. Microsoft has assessed that the attack complexity is “high,” and exploitation is "less likely." 

CVE-2025-29828 is an RCE vulnerability in Windows Schannel (Secure Channel), a security support provider (SSP) in the Windows operating system that implements Secure Sockets layer (SSL) and Transport Layer Security (TLS) Protocols. It is part of the Security Support Provider Interface (SSPI) and is used to secure network communications. Microsoft noted that a missing release of memory by Windows Cryptographic Services could trigger this vulnerability, allowing an unauthorized attacker to execute code over a network. An attacker can exploit this vulnerability through the malicious use of fragmented ClientHello messages to a target server that accepts TLS connections. Microsoft has assessed that the attack complexity is “high”, and exploitation is "less likely".  

CVE-2025-33071 is the RCE vulnerability in Windows KDC Proxy Service (KPSSVC) given CVSS 3.1 score of 8.1. To successfully exploit this vulnerability, an unauthenticated attacker could use a specially crafted application to leverage a cryptographic protocol vulnerability in Kerberos Key Distribution Center Proxy Service to perform remote code execution against the target. Microsoft has noted that this vulnerability only affects Windows servers that are configured as a Kerberos key Distribution Center (KDC) Proxy Protocol server, and Domain controllers are not affected. Microsoft has assessed that the attack complexity is “high”, and exploitation is "more likely".  

CVE-2025-47172 is the RCE vulnerability in Microsoft SharePoint server given CVSS 3.1 score of 8.8. Microsoft noted that this vulnerability in Microsoft Office SharePoint is due to improper neutralization of special elements used in a SQL command which would allow an authorized attacker to execute code over a network. To exploit this vulnerability an authenticated attacker in a network-based attack, with a minimum of Site Member permission, could execute arbitrary code remotely on the SharePoint server. Microsoft has assessed that the attack complexity is “low,” and exploitation is “less likely." 

CVE-2025-47162, CVE-2025-47164, CVE-2025-47167 and CVE-2025-47953 are RCE vulnerabilities in Microsoft Office. The vulnerabilities CVE-2025-47164 and CVE-2025-47953 are "use after free” (UAF) vulnerabilities that occur when Microsoft Office tries to access memory that has already been freed. CVE-2025-47162 is a heap-based buffer overflow in Microsoft Office and the CVE-2025-47167 is a "type confusion" vulnerability which is triggered when Microsoft Office interprets a block of memory as the wrong data type. An unauthorized attacker exploits these vulnerabilities and executes arbitrary code on the victim's machine. Microsoft has assessed that for CVE-2025-47162, CVE-2025-47164 and CVE-2025-47167, the attack complexity is "low," and exploitation is "more likely." For CVE-2025-47953, the attack complexity is "low," and exploitation is "less likely."  

Microsoft listed two critical elevations of privilege vulnerabilities. 

CVE-2025-33070 is an elevation of privilege critical vulnerability in Windows Netlogon. An attacker could exploit the vulnerability by leveraging an authentication bypass in the Windows Netlogon service using uninitialized resources. An attacker, by successfully exploiting this vulnerability, could gain domain administrator privileges. Microsoft has assessed that the attack complexity is “high,” and exploitation is “more likely."  

Microsoft noted that the CVE-2025-47966 is a critical elevation of privilege vulnerability in Power Automate in the Windows OS. Power Automate is a Microsoft tool for automating repetitive tasks and business processes across different applications and services. This vulnerability in Power Automate exposed sensitive information to an unauthorized actor, allowing privilege escalation over a network. Microsoft has reported that this vulnerability with CVSS 3.1 base score of 9.8 has been fully mitigated and no further action is required by the users.  

Talos would also like to highlight the following "important" vulnerabilities as Microsoft has determined that exploitation is "more likely:" 

*   CVE-2025-32713 - Windows Common Log File System Driver Elevation of Privilege Vulnerability. 
*   CVE-2025-32714 - Windows Installer Elevation of Privilege Vulnerability. 
*   CVE-2025-47962 - Windows SDK Elevation of Privilege Vulnerability. 

A complete list of all the other vulnerabilities Microsoft disclosed this month is available on its update page.  

In response to these vulnerability disclosures, Talos is releasing a new Snort ruleset that detects attempts to exploit some of them. Please note that additional rules may be released at a future date, and current rules are subject to change pending additional information. Cisco Security Firewall customers should use the latest update to their ruleset by updating their SRU. Open-source Snort Subscriber Ruleset customers can stay up to date by downloading the latest rule pack available for purchase on Snort.org. 

The rules included in this release that protect against the exploitation of many of these vulnerabilities are 55802, 56290, 65030-65043. There are also these Snort 3 rules: 301220, 301250-301255.

Microsoft Patch Tuesday for June 2025 — Snort rules and prominent vulnerabilities

In this week's newsletter, Martin emphasizes that awareness, basic cyber hygiene and preparation are essential for everyone, and highlights Talos' discovery of the new PathWiper malware.

Thursday, June 5, 2025 14:00

Welcome to this week’s edition of the Threat Source newsletter. 

I’ve discovered that being a rent guarantor for someone is an involved experience. While I’m glad that I can help out a loved one secure a better rental property, the process of verifying my identity and ability to cover any missed payments required handing over far more personal and financial data than I was comfortable with. 

I asked the agent about their information security policies and cybersecurity posture. I was relieved to hear that they delete all the personal data within two weeks of processing, but I was concerned that the person dealing with my dossier didn’t think that they were at risk of a cyber attack. They believed that because they had a low online profile and their organisation was small, they didn’t present as a target. 

Not wanting to jeopardise my position as a guarantor, I didn’t argue further beyond offering a few words of advice. The truth is that everyone is a target. Many criminals do not discriminate; they seek to compromise anyone and see how they can make money from a compromise once access is achieved. Sophisticated criminals research their targets and their wider ecosystem of suppliers and partners in depth to identify potential weak points. It only takes a moment’s inattention for anyone to fall for a phishing or social engineering scam. 

Cybersecurity training needs to reinforce the fact that anyone can be a victim of a cyber attack. No matter how careful you might be, how insignificant you think that you might be, an attack can still catch you off guard. The good news is that by ensuring basic cyber hygiene, we can make a lot of progress towards preventing harm. 

Impressing on users the need to install updates promptly, the importance of having end-point protection and using multi-factor authentication is not a panacea, but it is a basic foundation upon which more advanced protection can be built. 

Good cybersecurity begins with an awareness of the threat, an acknowledgement that we are all at risk, and knowing the potential consequences. Nobody is too insignificant, too small or too well hidden to escape the risk of cyber attack. Suitable protection follows from reflecting on what is at risk and what could possibly go wrong.

**The one big thing **

Talos has uncovered a destructive attack on Ukrainian critical infrastructure involving a new wiper malware, "PathWiper," deployed through a legitimate endpoint administration framework. Talos attributes this attack to a Russia-linked APT actor, underscoring the persistent threat to Ukraine's infrastructure amid the ongoing war. 

**Why do I care? **

This attack highlights the sophisticated tactics of state-sponsored threat actors and the risks critical infrastructure entities face, which could have global implications for cybersecurity and geopolitical stability. 

**So now what? **

Organizations, particularly those managing critical infrastructure, should strengthen their endpoint security, monitor for unusual administrative activity, and stay informed on evolving threats to mitigate potential risks.

**Top security headlines of the week**

**New Chrome Zero-Day Actively Exploited; Google Issues Emergency Out-of-Band Patch**   
The high-severity flaw is being tracked as CVE-2025-5419 (CVSS score: 8.8), and has been flagged as an out-of-bounds read and write vulnerability in the V8 JavaScript and WebAssembly engine. (The Hacker News) 

**Vanta bug exposed customers’ data to other customers**   
Compliance company Vanta has confirmed that a bug exposed the private data of some of its customers to other Vanta customers. The company told TechCrunch that the data exposure was a result of a product code change and not caused by an intrusion. (TechCrunch) 

**Data Breach Affects 38K UChicago Medicine Patients**   
UChicago Medicine released a statement that the data of 38K patients may have been exposed by a third-party debt collector's system breach. The exposed data may include SSNs, addresses, dates of birth, medical information, and financial account information. (UPI)

**Can’t get enough Talos? **

**Fake AI installers target businesses.** Catch up on the ransomware and malware threats Talos discovered circulating in the wild and masquerading as legit AI tool installers. Read the blog or listen to our most recent Talos Takes to hear Hazel and Chetan, the author, discuss the blog more in-depth.

**Talos at Cisco Live 2025**. From sessions featuring a live IR tabletop session to learning how to outsmart identity attacks, there’s plenty of Talos to keep you going in San Diego next week. Browse sessions Talos is participating in, and we'll see you there!

**Upcoming events where you can find Talos **

*   Cisco Live U.S. (June 8 – 12) San Diego, CA 
*   REcon (June 27 – 29) Montreal, Canada 
*   NIRMA (July 28 – 30) St. Augustine, FL 
*   Black Hat USA (Aug. 2–  7) Las Vegas, NV

**Most prevalent malware files from Talos telemetry over the past week **

**SHA 256: a31f222fc283227f5e7988d1ad9c0aecd66d58bb7b4d8518ae23e110308dbf91**     
MD5: 7bdbd180c081fa63ca94f9c22c457376     
VirusTotal: https://www.virustotal.com/gui/file/a31f222fc283227f5e7988d1ad9c0aecd66d58bb7b4d8518ae23e110308dbf91/details    
Typical Filename: IMG001.exe    
Detection Name: Simple\_Custom\_Detection 

**SHA 256:**   
**9f1f11a708d393e0a4109ae189bc64f1f3e312653dcf317a2bd406f18ffcc507**   
MD5: 2915b3f8b703eb744fc54c81f4a9c67f   
VirusTotal: https://www.virustotal.com/gui/file/9f1f11a708d393e0a4109ae189bc64f1f3e312653dcf317a2bd406f18ffcc507   
Typical Filename: VID001.exe   
Detection Name: Simple\_Custom\_Detection 

**SHA 256: c67b03c0a91eaefffd2f2c79b5c26a2648b8d3c19a22cadf35453455ff08ead0**   
MD5: 8c69830a50fb85d8a794fa46643493b2    
Typical Filename: AAct.exe    
Claimed Product: N/A    
Detection Name: PUA.Win.Dropper.Generic::1201