AI代理的隐患:模型上下文协议(MCP)中的11个关键安全风险

📄 中文摘要

模型上下文协议(MCP)于2024年11月由Anthropic发布,迅速成为连接大型语言模型(LLMs)与外部工具和数据源的标准。MCP在Claude Desktop、OpenAI Agent SDK、Microsoft Copilot Studio、Amazon Bedrock Agents、Cursor和Visual Studio Code等主要平台上得到了广泛应用,每天处理数百万个请求。然而,这种快速增长带来了许多组织未能识别的关键攻击面。分析显示,MCP存在11种不同的安全漏洞,这些漏洞可能对使用该协议的系统和数据安全构成严重威胁。

📄 English Summary

The Hidden Dangers of AI Agents: 11 Critical Security Risks in Model Context Protocol (MCP)

The Model Context Protocol (MCP), released by Anthropic in November 2024, has quickly become the standard for connecting Large Language Models (LLMs) to external tools and data sources. With widespread adoption across major platforms such as Claude Desktop, OpenAI Agent SDK, Microsoft Copilot Studio, Amazon Bedrock Agents, Cursor, and Visual Studio Code, MCP now handles millions of requests daily. However, this rapid growth has introduced a critical attack surface that many organizations fail to recognize. Our analysis reveals 11 distinct vulnerabilities within MCP that pose significant threats to the security of systems and data utilizing this protocol.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等