CVE-2026-56877 Skillable CVE debrief

Who should care

Administrators and users of Skillable's SCORM lab launch endpoint should be aware of this vulnerability. Successful exploitation could result in denial of service against targeted users, impacting their lab and exam access.

Technical summary

The SCORM lab launch endpoint in Skillable through 2026-07-13 does not validate the client-supplied userId parameter against the authenticated SCORM session token. An authenticated user can substitute arbitrary userId values to bypass per-user lab launch rate limits and consume other users' lab allocations, resulting in denial of service against targeted users' lab and exam access. This issue affects Skillable, formerly known as Learn on Demand Systems, and successful exploitation could lead to lab and exam access denial for targeted users.

Defensive priority

Medium priority should be given to patching or mitigating this vulnerability, as it could lead to denial of service attacks against users of the affected endpoint.

Recommended defensive actions

• Apply the vendor's patch or update to a version that validates the userId parameter against the authenticated SCORM session token.
• Implement rate limiting and monitoring to detect and prevent potential abuse.
• Review and update access controls to ensure that lab allocations are properly managed and secured.
• Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up.
• Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance.
• Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed.
• Check relevant monitoring, detection, and logs for exposed assets that need extra review.

Evidence notes

The CVE record was published on 2026-07-13T22:16:48.133Z and has not been modified since then. The NVD entry is currently in the 'Received' status. The vulnerability has a CVSS score of 6.3 and a severity of MEDIUM.

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.