MEDIUM 6.5 NVD
CVE-2026-17557
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 b
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.
References
- https://access.redhat.com/security/cve/CVE-2026-17557
- https://bugzilla.redhat.com/show_bug.cgi?id=2507452
This medium severity vulnerability with a CVSS score of 6.5 was published on 2026-10-21 via NVD.
vulnfeed aggregates 17594 vulnerabilities from NVD, CISA KEV,
Ubuntu, Debian, Red Hat, Kubernetes, Exploit-DB, OSS-Security, GitHub and OpenStack — updated every 4 hours.