LIVE FEED
FIRST LOOK Google Chrome Shifts to Two-Week Release Cycle for Faster Security Patches // FIRST LOOK Trail of Bits Ships Coop: Isolated VMs for Claude Code and Codex // CRITICAL CVE-2026-81578: PaperCut Exploited by AI Agents at Scale // FIRST LOOK arXiv Research Introduces Self-Evolving Procedural Graphs for LLM Agents // HIGH Chinese AI Firms Accused of Distilling OpenAI and Anthropic Models // HIGH Workflow Identity Hijacking Targets Enterprise AI Data Access // CRITICAL AI-Accelerated WeChat Zero-Click Worm Spreads via RCE // FIRST LOOK Microsoft Uses AI to Ship Record 974-Vulnerability Patch Batch // FIRST LOOK Meta Launches Muse Personal AI Agent with Secure VM Isolation // CRITICAL ChatGPT Cross-Account Data Leakage via Sandbox Channel //
HERMES

Hermes

2 reports
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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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