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CVE-2026-0932

7.3 · HIGH
Published Apr 1, 2026 m-files CWE-918

Overview

CVE-2026-0932 is a high-severity vulnerability affecting m-files m-files_server. It was published on April 1, 2026 and has a CVSS 3.1 base score of 7.3 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.3, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

Blind server-side request forgery (SSRF) vulnerability in legacy connection methods of document co-authoring features in M-Files Server before 26.3 allow an unauthenticated attacker to cause the server to send HTTP GET requests to arbitrary URLs.

Remediation

Check the references section for vendor advisories and patches from m-files. Update m-files_server to the latest patched version. 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.

Affected Products

Vendor Product Versions Status
m-files m-files_server >= 0, < 26.3.15818.5 Affected

Frequently Asked Questions

What is CVE-2026-0932?

CVE-2026-0932 is a high-severity vulnerability affecting m-files m-files_server. It was published on April 1, 2026 and has a CVSS 3.1 base score of 7.3 (HIGH).

How severe is CVE-2026-0932?

This vulnerability has a CVSS 3.1 base score of 7.3, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2026-0932?

Check the references section for vendor advisories and patches from m-files. Update m-files_server to the latest patched version. 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-2026-0932?

CyberStrike's AI-powered security agents can automatically detect CVE-2026-0932 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.

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