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CVE-2025-5273

6.5 · MEDIUM
Published May 29, 2025 CWE-552 EPSS 0.39% (32th pctl)

Overview

CVE-2025-5273 is a medium-severity vulnerability. It was published on May 29, 2025 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

Versions of the package mcp-markdownify-server before 1.0.0 are vulnerable to Files or Directories Accessible to External Parties via the get-markdown-file tool. An attacker can craft a prompt that, once accessed by the MCP host, will allow it to read arbitrary files from the host running the server.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Frequently Asked Questions

What is CVE-2025-5273?

CVE-2025-5273 is a medium-severity vulnerability. It was published on May 29, 2025 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

How severe is CVE-2025-5273?

This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2025-5273?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2025-5273?

CyberStrike's AI-powered security agents can automatically detect CVE-2025-5273 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.