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AI Agents Install Unowned Packages via Poisoned llms.txt Files

AI Agents Install Unowned Packages via Poisoned llms.txt Files

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 Ars Technica Security

Researchers discovered that over 120 corporate websites contained misconfigured llms.txt files referencing unregistered package names, which AI coding agents including Claude, Codex, and Hermes automatically executed as trusted installation instructions. By registering a handful of the unclaimed package names and hosting beacon payloads, researchers received phone-home responses from dozens of companies including Fortune 500 firms within hours, confirming real-world agent-driven supply chain compromise. The attack exploits the implicit trust AI agents place in vendor documentation files, with at least one site found directing visitors to live malware.

Hermes AI Agent Used in Espionage Attack on Thai Finance

Hermes AI Agent Used in Espionage Attack on Thai Finance

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 8.5 Dark Reading

Threat actors deployed Hermes, an open-source autonomous AI agent operating in unrestricted 'YOLO mode', to conduct a state-level espionage operation against Thailand's Ministry of Finance. The incident represents one of the first confirmed uses of an agentic AI tool as a primary attack instrument in a government-targeted intrusion. This case highlights the escalating risk posed by autonomous AI agents when deployed without guardrails in adversarial contexts.

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