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CVE-2025-67850

7.3 · HIGH

A flaw was found in moodle.

Published Feb 3, 2026CWE-79EPSS 0.31%

Overview

CVE-2025-67850 is a high-severity vulnerability. It was published on February 3, 2026 and has a CVSS 3.1 base score of 7.3 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.3, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

A flaw was found in moodle. This vulnerability, known as Cross-Site Scripting (XSS), occurs due to insufficient checks on user-provided data in the formula editor's arithmetic expression fields. A remote attacker could inject malicious code into these fields. When other users view these expressions, the malicious code would execute in their web browsers, potentially compromising their data or leading to unauthorized actions.

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-2025-67850?

CVE-2025-67850 is a high-severity vulnerability. It was published on February 3, 2026 and has a CVSS 3.1 base score of 7.3 (HIGH).

How severe is CVE-2025-67850?

This vulnerability has a CVSS 3.1 base score of 7.3, 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-2025-67850?

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-2025-67850?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-67850 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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