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CVE-2026-41243

5.4 · MEDIUM

OpenLearn is open-source educational forum software.

Published Apr 23, 2026CWE-284EPSS 0.25%

Overview

CVE-2026-41243 is a medium-severity vulnerability. It was published on April 23, 2026 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

OpenLearn is open-source educational forum software. Prior to commit 844b2a40a69d0c4911580fe501923f0b391313ab, when `safeMode` is enabled, unapproved forum posts are hidden from the public list, but the direct post-read procedure still returns the full post to anyone with the post UUID. Commit 844b2a40a69d0c4911580fe501923f0b391313ab fixes 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-2026-41243?

CVE-2026-41243 is a medium-severity vulnerability. It was published on April 23, 2026 and has a CVSS 3.1 base score of 5.4 (MEDIUM).

How severe is CVE-2026-41243?

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-2026-41243?

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-2026-41243?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-41243 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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