{"id":"CVE-2026-17557","published":"2026-10-21T08:16:43.090","lastModified":"2026-10-22T15:25:35.333","description":"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.","cvssScore":6.5,"cvssSeverity":"MEDIUM","cvssVector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N","cwes":["CWE-918"],"vendors":[],"products":[],"references":[{"url":"https://access.redhat.com/security/cve/CVE-2026-17557","tags":[]},{"url":"https://bugzilla.redhat.com/show_bug.cgi?id=2507452","tags":[]}],"exploitRefs":[],"hasPoc":false,"ai":null}