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CVE-2025-11979

5.3 · MEDIUM

An authorized user may crash the MongoDB server by causing buffer over-read.

Published Oct 20, 2025CWE-416EPSS 0.27%

Overview

CVE-2025-11979 is a medium-severity vulnerability. 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, 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-2025-11979?

CVE-2025-11979 is a medium-severity vulnerability. 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, 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-2025-11979?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-11979 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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