A flaw was found in the `lm-evaluation-harness` component of Red Hat OpenShift AI. An authenticated user, able to submit an evaluation job, could exploit this by providing a malicious model URL in the `JobSpec`. This vulnerability allows for the disclosure of the tenant's model authentication secret to an attacker-controlled external listener. Additionally, it enables Server-Side Request Forgery (SSRF) attacks against internal network endpoints reachable from the evaluation job pod.
Fix
Nothing published yet: no patch, vendor advisory or mitigation reference on NVD, no vendor advisory in the News for this CVE, not in CISA's KEV, no fixed package version. BaselineWatch does not guess at one.
Change history 5
- StatusPublished → Awaiting AnalysisNVD modified 2026-10-22 15:25
- StatusReceived → PublishedNVD modified 2026-10-21 13:38
- StatusPublished → ReceivedNVD modified 2026-10-21 14:17
- StatusReceived → PublishedNVD modified 2026-10-21 07:59
- First seenCVSS 6.5NVD modified 2026-10-21 08:16
Affected (CPE criteria) 0
NVD has not attached CPE configurations yet.