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Showing posts with label AI cybercrime. Show all posts

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.