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AgentBaiting: How Fake AI Skills Deliver Malware at Scale

The FakeGit campaign, detailed by Island security researcher Oleg Zaytsev, uses roughly 7,600 malicious GitHub repositories—over 800 posing as AI Skills or MCP servers—to deliver SmartLoader malware, which establishes persistence and installs the StealC information stealer. Researchers coined the technique 'AgentBaiting,' where AI agents like Claude Code, Gemini, and ChatGPT autonomously discover the attacker repositories, treat the malicious READMEs as legitimate documentation, and hand installation instructions to users; the operation recorded over 14 million downloads and peaked in April 2026.

supply-chain · tool-abuse · malware-distribution · agent-baiting
mcp · ai-agents · llm · github

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MUZZLE: Adaptive Agentic Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks

MUZZLE is an automated agentic red-teaming framework, presented in a USENIX Security 2026 paper by researchers from Northeastern University and Mozilla, for evaluating the security of LLM-based web agents against indirect prompt injection attacks embedded in untrusted web content. Muzzle uses agent trajectories to identify high-salience injection surfaces and adaptively generates context-aware malicious instructions, discovering 44 new attacks across 4 web applications, including 3 cross-application prompt injection attacks and an agent-tailored phishing scenario. Details →
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