A security audit of 31 MCP server packages on npm and PyPI revealed significant vulnerabilities, with 11 packages containing a total of 54 unique vulnerabilities across their installed dependency trees. This highlights a critical flaw where direct package checks are insufficient, as malicious code or outdated dependencies can be hidden within the broader installed tree. The MCP ecosystem is particularly vulnerable to typosquatting and supply chain attacks due to its decentralized nature, lack of a central registry, and heavy reliance on AI-generated recommendations, which can inadvertently suggest compromised packages. AI
影响 AI coding assistants can recommend vulnerable or outdated packages, necessitating live checks to mitigate supply chain risks.
排序理由 Security audit and analysis of vulnerabilities in a specific software ecosystem (MCP) and its integration with AI tools.
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