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CVE-2025-67849

7.3 · HIGH

A flaw was found in Moodle.

Published Feb 3, 2026CWE-79EPSS 0.27%

Overview

CVE-2025-67849 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 cross-site scripting (XSS) vulnerability, caused by improper sanitization of AI prompt responses, allows attackers to inject malicious HTML or script into web pages. When other users view these compromised pages, their sessions could be stolen, or the user interface could be manipulated.

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.

References

Refaccess.redhat.com/security/cve/CVE-2025-67849Refbugzilla.redhat.com/show_bug.cgi?id=2423835

How CyberStrike helps

Frequently asked questions

What is CVE-2025-67849?

CVE-2025-67849 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-2025-67849?

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-2025-67849?

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-2025-67849?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-67849 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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