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CVE-2025-11979

5.3 · MEDIUM
Published Oct 20, 2025 mongodb CWE-416 EPSS 0.25% (16th pctl)

Overview

CVE-2025-11979 is a medium-severity vulnerability affecting mongodb mongodb. It was published on October 20, 2025 and has a CVSS 3.1 base score of 5.3 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 5.3, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

An authorized user may crash the MongoDB server by causing buffer over-read. This can be done by issuing a DDL operation while queries are being issued, under some conditions. This issue affects MongoDB Server v7.0 versions prior to 7.0.25, MongoDB Server v8.0 versions prior to 8.0.15, and MongoDB Server version 8.2.0.

Remediation

Check the references section for vendor advisories and patches from mongodb. Update mongodb 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
mongodb mongodb >= 7.0.0, < 7.0.25 Affected

Frequently Asked Questions

What is CVE-2025-11979?

CVE-2025-11979 is a medium-severity vulnerability affecting mongodb mongodb. It was published on October 20, 2025 and has a CVSS 3.1 base score of 5.3 (MEDIUM).

How severe is CVE-2025-11979?

This vulnerability has a CVSS 3.1 base score of 5.3, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2025-11979?

Check the references section for vendor advisories and patches from mongodb. Update mongodb 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-2025-11979?

CyberStrike's AI-powered security agents can automatically detect CVE-2025-11979 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.