Live › vulnerability › CVE-2026-17557
Go to dashboardAn authenticated user who submits an evaluation job can point its model URL at an external listener, causing the tenant's model authentication secret to be sent there. The same job can also be used to make server-side requests to internal network endpoints reachable from the evaluation pod.
Summary written from the sources below. Check the originals before acting.
First seen by InfraStack 2026-10-23 21:57 UTC. All times on this page are UTC.
Teams running Red Hat OpenShift AI with the lm-evaluation-harness evaluation feature, where multiple users can submit evaluation jobs. The sources do not name affected versions. Teams that do not run OpenShift AI evaluation jobs can skip it.
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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.
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