MCP Tools Vulnerable to Command Injection via Unsanitized LLM Inputs

A security vulnerability has been identified in Model Context Protocol (MCP) tools that allows for command injection. This occurs when user-provided input, such as filenames or target formats, is used to construct shell commands without proper sanitization. Attackers can exploit this by crafting malicious inputs that trick the model into executing arbitrary commands on the server. The article details the vulnerable pattern, explains why common fixes like quoting or blacklisting are insufficient, and proposes a robust solution involving whitelisting inputs, validating paths, and using argument vectors instead of shells. AI

IMPACT Highlights critical security risks in LLM-integrated tools, emphasizing the need for robust input validation to prevent command injection.

RANK_REASON Security vulnerability disclosure for a specific software protocol (MCP).

Read on dev.to — MCP tag →

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