A recent report from Tenable outlines how the Model Context Protocol (MCP), created by Anthropic, is susceptible to various security threats such as prompt injection and tool poisoning. Launched in November 2024, MCP aims to interconnect Large Language Models with external data sources. However, its architecture comes with risks including excessive permissions and malicious instructions that can manipulate LLM behavior. The report expresses concern over risks like rug pulls and cross-tool contamination, emphasizing the need for heightened security measures when using MCP frameworks.
MCP's framework connects LLMs with external data, enhancing AI's utility, but introduces security risks including prompt injection and tool poisoning attacks.
An attacker can exploit MCP by sending malicious instructions through tools, leading to unauthorized actions, such as forwarding sensitive emails.
While tool permissions can be approved by users, they may be reused without consent, increasing the risk of unauthorized access or actions.
MCP's evolving architecture opens new vulnerabilities like cross-tool contamination, where malicious behavior can propagate across different systems and tools.
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