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CVE-2025-64707

5.4 · MEDIUM

Frappe Learning is a learning system that helps users structure their content.

Published Nov 12, 2025CWE-863EPSS 0.18%

Overview

CVE-2025-64707 is a medium-severity vulnerability. It was published on November 12, 2025 and has a CVSS 3.1 base score of 5.4 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 5.4, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

Frappe Learning is a learning system that helps users structure their content. Starting in version 2.0.0 and prior to version 2.41.0, when admins revoked a role from the user, the effect was not immediate because of caching. The issue has been fixed in version 2.41.0 by ensuring the cache is cleared after roles are updated.

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-2025-64707?

CVE-2025-64707 is a medium-severity vulnerability. It was published on November 12, 2025 and has a CVSS 3.1 base score of 5.4 (MEDIUM).

How severe is CVE-2025-64707?

This vulnerability has a CVSS 3.1 base score of 5.4, 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-2025-64707?

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-2025-64707?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-64707 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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