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AgentBaiting: How Fake AI Skills Deliver Malware at Scale

Island security researchers uncovered the FakeGit campaign, which used roughly 7,600 malicious GitHub repositories—over 800 posing as AI Skills or MCP servers—to deliver SmartLoader malware that installs the StealC information stealer. The campaign introduces a technique called AgentBaiting, in which AI agents such as Claude Code, Gemini, and ChatGPT autonomously discover the attacker repositories, treat the malicious README as legitimate documentation, and pass installation instructions to users; the operation recorded over 14 million downloads.

supply-chain · tool-abuse · malware-delivery · agentbaiting
mcp · ai-agents · ai-skills · llm · copilot

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CVE-2026-42271 - Red Hat Customer Portal

CVE-2026-42271 is an Important-severity (CVSS 8.8) flaw in LiteLLM, an AI gateway/proxy for LLM APIs, where two MCP-server preview endpoints accepted full server configurations including command-execution parameters without adequate role checks. An authenticated user with even low-privilege internal-user keys could send a crafted configuration to achieve arbitrary OS command execution on the proxy host; Red Hat notes known public exploits and the CVE is tracked in CISA's KEV catalog, with fixes shipped in LiteLLM v1.83.7-stable and Red Hat OpenShift AI / Ansible Automation Platform errata. Details →

Understanding Langflow CVE-2026-55255, and why higher CVSS vulnerabilities aren't always the most exploited

CISA added CVE-2026-55255, an actively exploited Insecure Direct Object Reference (IDOR) authorization-bypass flaw in the Langflow visual framework for building AI agents, to its Known Exploited Vulnerabilities catalog and ordered federal agencies to patch it. The flaw lets authenticated attackers access other users' flows via the /api/v1/responses endpoint using a victim's flow UUID, and Sysdig observed in-the-wild exploitation aimed at leaking API keys, delivering second-stage loaders, and stealing LLM/cloud credentials and compute. Details →
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