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This campaign exploits emerging AI infrastructure standards like MCP to disguise malware distribution within trusted developer ecosystems. By creating thousands of fake "AI Skills," attackers turn routine searches for legitimate integrations into high-risk vectors for SmartLoader infections. The incident highlights the critical need for rigorous verification protocols as AI tooling expands rapidly across public registries and GitHub repositories.

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AgentBaiting Campaign Uses 800 Fake AI Skills and MCP Servers to Deliver SmartLoader Malware

Cybersecurity NewsJuly 21, 20265 min read

Malware operators are increasingly using tools built to extend artificial intelligence as a delivery route. A newly documented campaign called AgentBaiting uses fraudulent AI Skills and Model Context Protocol, or MCP, servers to distribute SmartLoader malware through trusted-looking GitHub projects and public capability catalogs. The operation turns a routine search for an AI integration into […] The post AgentBaiting Campaign Uses 800 Fake AI Skills and MCP Servers to Deliver SmartLoader Malware appeared first on Cyber Security News.

Malware operators are increasingly using tools built to extend artificial intelligence as a delivery route. A newly documented campaign called AgentBaiting uses fraudulent AI Skills and Model Context Protocol, or MCP, servers to distribute SmartLoader malware through trusted-looking GitHub projects and public capability catalogs. The operation turns a routine search for an AI integration into a malware risk. Victims can be steered to ZIP archives presented as useful installers, then encouraged to extract and run files that have no connection to the advertised…

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