Server-Side Request Forgery Flaw in Red Hat OpenShift AI
CVE-2026-17557

6.5MEDIUM

Key Information:

Vendor

Red Hat

Vendor
CVE Published:
21 October 2026

What is CVE-2026-17557?

A vulnerability in the 'lm-evaluation-harness' component of Red Hat OpenShift AI allows an authenticated user submitting evaluation jobs to exploit the system. This is achieved by providing a malicious model URL in the JobSpec, leading to the potential exposure of the tenant's model authentication secrets to an attacker-controlled external listener. Additionally, this flaw facilitates Server-Side Request Forgery (SSRF) attacks against internal network endpoints accessible from the evaluation job pod, raising significant security concerns for involved entities.

References

CVSS V3.1

Score:
6.5
Severity:
MEDIUM
Confidentiality:
High
Integrity:
None
Availability:
High
Attack Vector:
Network
Attack Complexity:
Low
Privileges Required:
Low
User Interaction:
None
Scope:
Unchanged

Timeline

  • Vulnerability published

  • Vulnerability Reserved

.