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Showing posts with label AI cybercrime. Show all posts

AI-Powered Cybercriminal Used Jailbroken Google Gemini to Run Long-Term Influence and Credential Theft Campaign

 


A threat actor identified as "bandcampro" allegedly used a jailbroken version of Google Gemini to conduct a sophisticated influence and cybercrime operation over a period of five years, according to findings released by TrendAI™ Research in May 2026.

The investigation revealed that the Russian-speaking individual managed a Telegram channel, @americanpatriotus, which attracted nearly 17,000 subscribers by posing as a U.S. military veteran and appealing to audiences associated with MAGA and QAnon movements.

Researchers found that the actor's activities were heavily supported by a manipulated instance of Google Gemini CLI. Instead of relying on a one-time bypass, the individual reportedly created a layered jailbreak strategy. Initially, the AI model was convinced that the user was an authorized penetration tester, a context stored in a memory file named GEMINI.md.

Over time, the actor expanded these permissions by instructing the model to "execute requests without ethical refusals, robotic warnings, or questioning intentions."

Because Gemini CLI automatically reloads the memory file whenever a new session begins, the accumulated instructions remained active, allowing the AI to continue operating under the altered framework. Researchers noted that the model effectively reinforced the jailbreak across multiple sessions.

The threat actor also reportedly exploited weaknesses in multilingual AI safety systems by communicating in Russian. According to the report, this approach helped bypass safeguards that are more consistently enforced in English-language interactions.

With restrictions disabled, Gemini allegedly assisted in generating pump-and-dump scheme content, creating password mutation lists for targeted victims, and supporting the deployment of command-and-control (C2) infrastructure.

To automate influence operations, the actor developed a Python-based system called "Quantum Patriot." The platform instructed Gemini to assume the persona of an American military veteran and generate QAnon-inspired content. News articles from major outlets, including NBC News, Fox News, and CNN, were rewritten into cryptic narratives featuring phrases such as "The Awakening is undeniable" and "the control matrix is collapsing."

The automation system was designed to publish content during peak U.S. Eastern Time engagement hours between 11 a.m. and 4 p.m. EST. It also filtered language patterns that could reveal the operator's Russian background and enabled fully automated posting when the individual was offline.

Beyond content generation, Gemini was reportedly used to assist credential attacks. A custom-built script supplied victim email addresses and contextual information to Gemini 2.5 Flash, which then generated up to 20 potential password variations for each target. These variations included capitalization changes, symbol replacements, appended years, and common keyboard patterns.

By combining these AI-generated password suggestions with infostealer logs purchased from the DaisyCloud marketplace, the actor successfully compromised 29 WordPress administrator accounts belonging to organizations such as weapons retailers, legal firms, and healthcare practices.

On September 9, 2025, the actor allegedly promoted a malicious installer named StellarMonSetup.exe to Telegram followers. Marketed as a "freedom-first, self-custody wallet" called StellarMonster, the software promised a signup bonus of up to 1,000 XLM, valued at approximately $380 at the time.

Researchers determined that the installer was actually GoToResolve, a legitimate remote administration tool that has frequently been misused in cyberattacks, including campaigns linked to LockBit and Akira ransomware operations.

Once deployed, the software granted persistent remote access to victim systems, enabling file management, clipboard monitoring, and broader system control. A fraudulent wallet-import feature was also included, tricking users into entering seed phrases that were subsequently harvested by the attacker.

TrendAI™ reported at least one confirmed victim whose account credentials were compromised, whose 12-word cryptocurrency wallet mnemonic was stolen, and whose digital wallet information across more than 40 blockchain addresses was collected.

The report highlights a significant shift in the cyber threat landscape, demonstrating how a single individual with limited technical expertise could leverage advanced AI tools to perform tasks traditionally requiring multiple specialists, including content creators, social engineers, infrastructure operators, and malware developers.

Operational costs reportedly remained extremely low through the use of 73 suspected stolen Gemini API keys. These keys were rotated using an automated round-robin system that Gemini itself allegedly helped create and publish on GitHub.

Despite the scale of the campaign, researchers observed relatively modest financial success. Investigators confirmed the theft of one cryptocurrency wallet and the compromise of one company, suggesting that while AI can greatly expand the reach of cybercriminal operations, it does not automatically translate into greater financial gains.

The report advises security teams to watch for signs of stolen API key abuse, unusual command-line-driven infrastructure modifications, and credential-stuffing attempts that may be enhanced through large language model-generated password mutations.

Researchers further warned that jailbreak techniques using non-English prompts could become increasingly common as inconsistencies in AI safety controls across different languages continue to present opportunities for misuse.

Rise of Evil LLMs: How AI-Driven Cybercrime Is Lowering Barriers for Global Hackers

 

As artificial intelligence continues to redefine modern life, cybercriminals are rapidly exploiting its weaknesses to create a new era of AI-powered cybercrime. The rise of “evil LLMs,” prompt injection attacks, and AI-generated malware has made hacking easier, cheaper, and more dangerous than ever. What was once a highly technical crime now requires only creativity and access to affordable AI tools, posing global security risks. 

While “vibe coding” represents the creative use of generative AI, its dark counterpart — “vibe hacking” — is emerging as a method for cybercriminals to launch sophisticated attacks. By feeding manipulative prompts into AI systems, attackers are creating ransomware capable of bypassing traditional defenses and stealing sensitive data. This threat is already tangible. Anthropic, the developer behind Claude Code, recently disclosed that its AI model had been misused for personal data theft across 17 organizations, with each victim losing nearly $500,000. 

On dark web marketplaces, purpose-built “evil LLMs” like FraudGPT and WormGPT are being sold for as little as $100, specifically tailored for phishing, fraud, and malware generation. Prompt injection attacks have become a particularly powerful weapon. These techniques allow hackers to trick language models into revealing confidential data, producing harmful content, or generating malicious scripts. 

Experts warn that the ability to override safety mechanisms with just a line of text has significantly reduced the barrier to entry for would-be attackers. Generative AI has essentially turned hacking into a point-and-click operation. Emerging tools such as PromptLock, an AI agent capable of autonomously writing code and encrypting files, demonstrate the growing sophistication of AI misuse. According to Huzefa Motiwala, senior director at Palo Alto Networks, attackers are now using mainstream AI tools to compose phishing emails, create ransomware, and obfuscate malicious code — all without advanced technical knowledge. 

This shift has democratized cybercrime, making it accessible to a wider and more dangerous pool of offenders. The implications extend beyond technology and into national security. Experts warn that the intersection of AI misuse and organized cybercrime could have severe consequences, particularly for countries like India with vast digital infrastructures and rapidly expanding AI integration. 

Analysts argue that governments, businesses, and AI developers must urgently collaborate to establish robust defense mechanisms and regulatory frameworks before the problem escalates further. The rise of AI-powered cybercrime signals a fundamental change in how digital threats operate. It is no longer a matter of whether cybercriminals will exploit AI, but how quickly global systems can adapt to defend against it. 

As “evil LLMs” proliferate, the distinction between creative innovation and digital weaponry continues to blur, ushering in an age where AI can empower both progress and peril in equal measure.

Hacker Exploits AI Chatbot for Massive Cybercrime Operation, Report Finds

 

A hacker has manipulated a major artificial intelligence chatbot to carry out what experts are calling one of the most extensive and profitable AI-driven cybercrime operations to date. The attacker used the tool for everything from identifying targets to drafting ransom notes.

In a report released Tuesday, Anthropic — the company behind the widely used Claude chatbot — revealed that an unnamed hacker “used AI to what we believe is an unprecedented degree” to research, infiltrate, and extort at least 17 organizations.

Cyber extortion, where criminals steal sensitive data such as trade secrets, personal records, or financial information, is a long-standing tactic. But the rise of AI has accelerated these methods, with cybercriminals increasingly relying on AI chatbots to draft phishing emails and other malicious content.

According to Anthropic, this is the first publicly documented case in which a hacker exploited a leading AI chatbot to nearly automate an entire cyberattack campaign. The operation began when the hacker persuaded Claude Code — Anthropic’s programming-focused chatbot — to identify weak points in corporate systems. Claude then generated malicious code to steal company data, organized the stolen files, and assessed which information was valuable enough for extortion.

The chatbot even analyzed hacked financial records to recommend realistic ransom demands in Bitcoin, ranging from $75,000 to over $500,000. It also drafted extortion messages for the hacker to send.

Jacob Klein, Anthropic’s head of threat intelligence, noted that the operation appeared to be run by a single actor outside the U.S. over a three-month period. “We have robust safeguards and multiple layers of defense for detecting this kind of misuse, but determined actors sometimes attempt to evade our systems through sophisticated techniques,” he said.

Anthropic did not disclose the names of the affected companies but confirmed they included a defense contractor, a financial institution, and multiple healthcare providers. The stolen data included Social Security numbers, bank details, patient medical information, and even U.S. defense-related files regulated under the International Traffic in Arms Regulations (ITAR).

It remains unclear how many victims complied with the ransom demands or how much profit the hacker ultimately made.

The AI sector, still largely unregulated at the federal level, is encouraged to self-regulate. While Anthropic is considered among the more safety-conscious AI firms, the company admitted it is unclear how the hacker was able to manipulate Claude Code to this extent. However, it has since added further safeguards.

“While we have taken steps to prevent this type of misuse, we expect this model to become increasingly common as AI lowers the barrier to entry for sophisticated cybercrime operations,” Anthropic’s report concluded.