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 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.
- Score
- CVSS 3.1 6.5 Medium
- Status
- Awaiting Analysis - secalert@redhat.com
- Published
- 2026-10-21
- Last modified
- 2026-10-22
- Weaknesses
- CWE-918
Affected products
References
- https://access.redhat.com/security/cve/CVE-2026-17557
- https://bugzilla.redhat.com/show_bug.cgi?id=2507452
