New analysis from Cyata reveals that flaws within the servers connecting LLMs to native knowledge through Anthropic’s MCP may be exploited to attain distant code execution and unauthorized file entry.
All three flaws had been recognized within the official Git MCP server (mcp-server-git) maintained by Anthropic and may very well be exploited through immediate injections with attacker-controlled arguments.
“MCP servers execute actions primarily based on LLM selections, and LLMs may be manipulated via immediate injection,” Cyata defined. “A malicious actor who can affect the AI’s context can set off MCP software calls with attacker-controlled arguments.”
The bugs, tracked as CVE-2025-68143, CVE-2025-68145, and CVE-2025-68144, existed as a result of the Git MCP server did not validate or sanitize particular arguments offered by an attacker.
“These flaws may be exploited via immediate injection, which means an attacker who can affect what an AI assistant reads (a malicious README, a poisoned problem description, a compromised webpage) can weaponize these vulnerabilities with none direct entry to the sufferer’s system,” Cyata stated.
The safety agency’s researchers confirmed how an attacker may exploit the vulnerabilities for arbitrary code execution, studying recordsdata, and deleting recordsdata, with the assault working in opposition to any configuration. Commercial. Scroll to proceed studying.
The cybersecurity agency first reported the problems to Anthropic in June and July 2025.
The seller resolved all three vulnerabilities in December, in mcp-server-git model 2025.12.18.
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