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Attackers Abuse Claude Artifacts and ChatGPT Links to Spread Malware

Attackers Abuse Claude Artifacts and ChatGPT Links to Spread Malware

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 BleepingComputer

Threat actors are exploiting legitimate features of trusted AI platforms—including Claude Artifacts, shareable claude.ai URLs, and indexed ChatGPT and Grok conversations—to deliver malware under the cover of recognisable branding. The FakeAgent campaign, tracked by Huntress, struck over 29 organisations in July by hosting malicious content directly on the claude.ai domain, where minimal vetting and high user trust create an effective delivery vector. These campaigns are typically short-lived but effective, underscoring how AI platform trust boundaries are being systematically weaponised.

ChatGPT Abused by Poipet Scam Network in Multi-Fraud Op

ChatGPT Abused by Poipet Scam Network in Multi-Fraud Op

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 The Hacker News

OpenAI has disrupted a Cambodia-based criminal network operating from Poipet that weaponised ChatGPT to power investment fraud, romance scams, gambling schemes, and law enforcement impersonation at scale. The operation leveraged LLM capabilities for persona creation, multilingual message generation, forged document imagery, and internal administrative tasks — demonstrating that organised crime groups are now integrating generative AI as operational infrastructure. The case underscores a growing threat model in which LLMs are exploited not through technical vulnerabilities but through deliberate misuse of legitimate API access.

GreyVibe Uses ChatGPT and Gemini for Ukraine Cyberespionage

GreyVibe Uses ChatGPT and Gemini for Ukraine Cyberespionage

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 BleepingComputer

A likely Russian threat group dubbed GreyVibe has been actively using commercial LLMs — including ChatGPT and Google Gemini — to generate high-quality phishing lures, malware tooling, and social-engineering content targeting Ukrainian military, government, and civilian organisations. WithSecure researchers identified LLM artefact markers embedded in campaign imagery, confirming AI-assisted content generation at scale. The case represents a concrete, documented example of adversarial LLM weaponisation in an active nation-state-adjacent cyberespionage campaign.

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