
Cloud Vulnerability DB
A community-led vulnerabilities database
Model Context Protocol (MCP) Filesystem Server contains a critical vulnerability (CVE-2025-53109) discovered in July 2025. This vulnerability affects versions prior to 0.6.4 or 2025.7.01 and allows attackers to access unintended files via symlinks within allowed directories. The vulnerability has been assigned a CVSS score of 8.4 (High severity) (NVD, Hacker News).
The vulnerability (CVE-2025-53109) stems from poor error handling in symlink validation. When the server attempts to validate symlink targets through fs.realpath(), flawed error handling in the catch block allows for a complete security bypass. The vulnerability enables attackers to create symbolic links pointing to sensitive system files from within allowed directories. The CVSS score of 8.4 reflects the high severity of this issue, with attack complexity rated as low and requiring local access (Cybersecurity News).
The vulnerability enables attackers to achieve full filesystem access and potential arbitrary code execution through various methods. On macOS systems, attackers can write malicious .plist files to locations like /Users/username/Library/LaunchAgents/ to achieve persistent code execution with user privileges at login. The vulnerability allows manipulation of any file on the host system, including critical system files like /etc/sudoers (Cybersecurity News, Hacker News).
Users are advised to upgrade to version 0.6.4 or 2025.7.01, which contains the necessary fixes for this vulnerability. Organizations should immediately upgrade their MCP implementations and apply the principle of least privilege to limit potential exploitation impact (NVD, GitHub Advisory).
Security researchers and industry experts have emphasized the severity of this vulnerability. Elad Beber, a security researcher, described it as a serious breach of the Filesystem MCP Server's security model. The discovery highlights the importance of rigorous security validation as AI systems gain deeper integration with critical infrastructure and sensitive data systems (Hacker News).
Source: This report was generated using AI
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