Researchers Find 24 Vulnerability Patterns Across 10 Major AI Agent Frameworks

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A security research team conducted a 90-day audit of ten major AI frameworks — including CrewAI, AutoGen, LlamaIndex, and Dify — uncovering 24 distinct vulnerability patterns in production LLM systems. The study found that over 60% of MCP server implementations lack basic access controls, allowing any connected client to invoke registered tools including destructive operations. High-severity flaws such as path traversal, SQL injection, SSRF, and tool parameter injection were confirmed in projects from major tech firms including Ant Group, Tencent, ByteDance, and DeepSeek. The team's custom scanner, validated against 80,000 API traces across 13 providers and 33 models, is designed for real-time deployment as a runtime guardrail. All confirmed vulnerabilities were responsibly disclosed through platforms including HackerOne, Bugcrowd, and MSRC, with the team reporting 100% submission pipeline automation.

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