Security Scan Finds 332 Critical Flaws Across LlamaIndex, AutoGen, and CrewAI

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A security audit using AgentGuard v0.6.1 uncovered 332 critical vulnerabilities across three widely used AI agent frameworks: LlamaIndex, AutoGen, and CrewAI. LlamaIndex alone accounted for 252 critical findings, including credential exposure in replay logs and unsafe trust boundary handling in its MCP host. CrewAI showed 391 medium-severity findings, with agent data flowing to external endpoints without proper constraints. All three frameworks are in active production use, with some boasting over 30,000 GitHub stars and deployments at Fortune 500 companies. The researchers note that fixes exist for all identified issues, including input validation, sandbox enforcement, and log scrubbing, representing standard application security practices not yet consistently applied to AI agent code.

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