LIVE FEED
Rogue LLM Endpoint Hijacks Coding Agent Sessions via Free API

Rogue LLM Endpoint Hijacks Coding Agent Sessions via Free API

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 9.0 SANS Internet Storm Center

A researcher's internet-exposed LLM honeypot was discovered by scanners, relabeled as a DeepSeek-compatible endpoint, and incorporated into 'free' AI backend infrastructure — ultimately receiving a full 224 KB coding-agent session including filesystem listings, tool manifests, and private file contents. The incident demonstrates that a malicious rogue model endpoint occupies a privileged position in an agent's control plane, capable of issuing tool-call responses that the agent may execute locally without further verification. This represents a novel supply-chain-style threat where the adversary is not a compromised trusted service but a counterfeit reasoning backend actively solicited by users chasing free API access.

Claude Code Auto Mode Bypassed via Zip Payload at 80% Rate

Claude Code Auto Mode Bypassed via Zip Payload at 80% Rate

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 Simon Willison

Security researcher Johann Rehberger demonstrated an 80% success-rate prompt injection attack against Claude Code's auto mode, Anthropic's default safety mechanism for its coding agent. The attack tricks the agent into downloading and decompressing a zip archive containing a malicious local module that hijacks Python's import resolution to execute arbitrary code. Critically, auto mode was observed blocking Claude's own remediation commands after detecting the compromise, rendering the safety layer counterproductive.

◉ AI THREAT BRIEFING

Stay ahead of the threat.

Twice-weekly digest of critical AI security developments — every story mapped to MITRE ATLAS and OWASP LLM Top 10. Free.

No spam. Unsubscribe anytime.