MCP 协议被指存在结构性缺陷，Google 等五家机构的智能体接连曝出漏洞
MCP for agent-to-agent comms may be the riskiest protocol you've never heard of
过去五个月内，Google 等五家机构承认了利用 MCP 信任链的漏洞：攻击者先攻陷网络内一个智能体，再通过它向下游智能体传播恶意指令，实现数据库内容外泄等攻击。
The adoption of AI agents in millions of organizations is creating new opportunities for attackers to make them take malicious actions, such as exfiltrating database contents and sensitive business and personal information.
In the past five months, Google and four other organizations—with little in common except for their use of AI agents—have acknowledged vulnerabilities that exploit one agent inside a targeted network to spread harmful instructions to other internal agents. The technique is a special form of prompt injection that targets not the LLM but a particular agent, such as one for translation or data analysis. Guardrails inside such agents, if they exist at all, are often lax and will send the instructions to other agents down the chain. Because the latter agent explicitly trusts the first one, it follows the directions.
Unexpected and hard to mitigate
Independent researcher Syed Anas Mohiuddin tested agents from organizations including Google, JP Morgan Chase, Weviate, Rapid7, the French government's interministerial digital directorate, and the US federal government. His proof-of-concept attacks exploit trust gaps in MCP, short for Model Context Protocol. The standard is one way AI apps and agents communicate with each other inside an internal network. The illustration below shows a simplified MCP in action.
来源：Ars Technica：AI · arstechnica.com