CVE-2026-42698 Themeum CVE debrief

Who should care

Defenders responsible for WordPress installations using the Tutor LMS plugin, especially those with version 4.1.1 or earlier, should assess their exposure and take necessary actions to prevent potential exploitation.

Why it matters

CVE-2026-42698 is a medium-severity vulnerability in the WordPress Tutor LMS plugin that allows for race condition exploitation, potentially impacting system integrity. Defenders should verify plugin versions, monitor for suspicious activity, and implement protective measures.

• Defenders need to verify the Tutor LMS plugin version to ensure it is beyond 4.1.1 to prevent exploitation.
• System administrators should monitor for suspicious activity that could indicate race condition exploitation.
• Security teams must implement additional protective measures to safeguard against potential integrity impacts.

Technical summary

The CVE-2026-42698 vulnerability is a race condition issue in the WordPress Tutor LMS plugin versions up to 4.1.1. This issue allows for leveraging race conditions, potentially impacting the integrity of the system. The vulnerability has a CVSS score of 5.3 and is classified as medium severity. The issue arises from improper synchronization when executing concurrently using a shared resource.

Defensive priority

Defenders should prioritize verifying the version of Tutor LMS in use and ensuring it is up-to-date to prevent potential exploitation.

Recommended defensive actions

• Verify the version of Tutor LMS in use and update to a version beyond 4.1.1 if necessary.
• Monitor system logs for any suspicious activity that could be related to race condition exploitation.
• Implement additional security measures to protect against potential exploitation, such as restricting access to the plugin's functionality.

Evidence notes

The evidence for this vulnerability comes from the CVE Program record and the source item provided, which details the race condition vulnerability in the Tutor LMS plugin.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.