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CVE-2025-10059

6.5 · MEDIUM

An improper setting of the lsid field on any sharded query can cause a crash in MongoDB routers.

Published Sep 5, 2025CWE-732EPSS 0.28%

Overview

CVE-2025-10059 is a medium-severity vulnerability. It was published on September 5, 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. Some level of privileges is required for exploitation.

Technical description

An improper setting of the lsid field on any sharded query can cause a crash in MongoDB routers. This issue occurs when a generic argument (lsid) is provided in a case when it is not applicable. This affects MongoDB Server v6.0 versions prior to 6.0.x, MongoDB Server v7.0 versions prior to 7.0.18 and MongoDB Server v8.0 versions prior to 8.0.6.

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-2025-10059?

CVE-2025-10059 is a medium-severity vulnerability. It was published on September 5, 2025 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

How severe is CVE-2025-10059?

This vulnerability has a CVSS 3.1 base score of 6.5, 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-2025-10059?

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-2025-10059?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-10059 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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