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CVE-2025-67493

7.5 · HIGH

Homarr is an open-source dashboard.

Published Dec 17, 2025CWE-20EPSS 0.30%

Overview

CVE-2025-67493 is a high-severity vulnerability. It was published on December 17, 2025 and has a CVSS 3.1 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

Homarr is an open-source dashboard. Prior to version 1.45.3, it was possible to craft an input which allowed privilege escalation and getting access to groups of other users due to missing sanitization of inputs in ldap search query. The vulnerability could impact all instances using ldap authentication where a malicious actor had access to a user account. Version 1.45.3 has a patch for the issue.

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-2025-67493?

CVE-2025-67493 is a high-severity vulnerability. It was published on December 17, 2025 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2025-67493?

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2025-67493?

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-2025-67493?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-67493 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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