MEDIUMCVSS v3.1 6.5Vulnerability
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.
Properties
- Severity
- MEDIUM
- Nvd fetched at
- 2026-10-22T22:14:18.200859+00:00
- Epss score
- 0.00258
- Cvss severity
- MEDIUM
- Cvss score
- 6.5
- Retrieved at
- 2026-10-22T22:17:33+00:00
- Last source
- FIRST EPSS
- Score
- 6.5
- Cvss version
- 3.1
- Cve id
- CVE-2026-17557
- Cvss vector
- CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
- First seen by Signal
- 2026-10-21T22:34:38+00:00
- Vector
- CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
- Published at
- 2026-10-21T08:16:43.090
- Last modified
- 2026-10-22T15:25:35.333
- Epss percentile
- 0.16481
Related Entities (1)
HAS_WEAKNESS (1)
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