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CVE-2025-4272

7.0 · HIGH
Published May 5, 2025 CWE-426 EPSS 0.19% (8th pctl)

Overview

CVE-2025-4272 is a high-severity vulnerability. It was published on May 5, 2025 and has a CVSS 3.1 base score of 7.0 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.0, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

A vulnerability was found in Mechrevo Control Console 1.0.2.70. It has been rated as critical. Affected by this issue is some unknown functionality in the library C:\Program Files\OEM\MECHREVO Control Center\UniwillService\MyControlCenter\csCAPI.dll of the component GCUService. The manipulation leads to uncontrolled search path. An attack has to be approached locally. The complexity of an attack is rather high. The exploitation is known to be difficult. The exploit has been disclosed to the public and may be used.

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-2025-4272?

CVE-2025-4272 is a high-severity vulnerability. It was published on May 5, 2025 and has a CVSS 3.1 base score of 7.0 (HIGH).

How severe is CVE-2025-4272?

This vulnerability has a CVSS 3.1 base score of 7.0, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2025-4272?

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-2025-4272?

CyberStrike's AI-powered security agents can automatically detect CVE-2025-4272 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.