CVE-2026-17557
Lm-evaluation-harness: lm-evaluation-harness: ssrf via job-spec model.url with bearer credential forwarding
- State
- Published
- Severity
- 6.5 Medium
- Published
- Oct 21, 2026
- Updated
- Oct 21, 2026
- Reserved
- Jul 27, 2026
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.
Scores
| CVSS | Score | Vector | Source |
|---|---|---|---|
| 3.1 | 6.5 Medium | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N | redhat |
Weaknesses
- CWE-918 Server-Side Request Forgery (SSRF)
Affected Products
| Product | Versions |
|---|---|
Red Hat OpenShift AI (RHOAI)Red Hat |
References
- https://access.redhat.com/security/cve/CVE-2026-17557vdb-entry
- RHBZ#2507452issue-tracking
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