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CVE-2025-10943

3.5 · LOW

A security flaw has been discovered in MikeCen WeChat-Face-Recognition up to 6e3f72bf8547d80b59e330f1137e4aa505f492c1.

Published Sep 25, 2025CWE-79EPSS 0.26%

Overview

CVE-2025-10943 is a low-severity vulnerability. It was published on September 25, 2025 and has a CVSS 3.1 base score of 3.5 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.5, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

A security flaw has been discovered in MikeCen WeChat-Face-Recognition up to 6e3f72bf8547d80b59e330f1137e4aa505f492c1. This vulnerability affects the function valid of the file wx.php. The manipulation of the argument echostr results in cross site scripting. The attack can be launched remotely. This product does not use versioning. This is why information about affected and unaffected releases are unavailable. The vendor was contacted early about this disclosure but did not respond in any way.

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-2025-10943?

CVE-2025-10943 is a low-severity vulnerability. It was published on September 25, 2025 and has a CVSS 3.1 base score of 3.5 (LOW).

How severe is CVE-2025-10943?

This vulnerability has a CVSS 3.1 base score of 3.5, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2025-10943?

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-2025-10943?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-10943 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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