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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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Security incident disclosure — July 2026

Hugging Face disclosed that attackers breached part of its production infrastructure using an autonomous AI agent framework, gaining access to internal datasets and service credentials. The intrusion began when a malicious dataset abused two code-execution paths (a remote-code dataset loader and a template injection in a dataset configuration) to run code on a processing worker, after which the agent swarm escalated to node-level access, harvested cloud and cluster credentials, and moved laterally across internal clusters using self-migrating command-and-control staged on public services. Details →

Unauthorized Publication of a Malicious npm Package affecting CI

Jscrambler disclosed that a threat actor used compromised npm publishing credentials to publish a malicious version of its 'jscrambler' npm package (versions 8.14, 8.16, 8.17, 8.20), which ran an infostealer during the preinstall hook and was downloaded around 1,479 times in a two-hour window. Per Socket's analysis, the malware harvested developer credentials, cloud secrets, crypto wallets, browser data, and notably AI coding tool and MCP configurations (Claude, Cursor, Windsurf, VS Code, Zed), using ChaCha20-Poly1305 obfuscation to resist analysis. Jscrambler revoked credentials and released a safe version 8.22. 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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