Description
A flaw was found in the RHOAI training-operator. This vulnerability allows a user with standard edit or admin roles in any Kubernetes namespace to escalate their privileges. Through the creation of training jobs, an attacker can impersonate service accounts, access the host filesystem, and potentially execute arbitrary code remotely. This issue arises from the aggregation of training job permissions onto native Kubernetes edit and admin ClusterRoles, coupled with unrestricted PodTemplateSpec passthrough.
Affected products
| Vendor | Product | Affected | Fixed |
|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 | — | — |
| Red Hat | Red Hat OpenShift AI 3.3 | — | — |
| Red Hat | Red Hat OpenShift AI 3.4 | — | — |
| Red Hat | Red Hat OpenShift AI 3.5 | — | — |
Advisories 1
- WID-SEC-2026-2750 Red Hat OpenShift: Mehrere Schwachstellen BSI CERT-Bund (WID) · Aug 10, 2026
References
- RHSA-2026:53261 vendor-advisory
- RHSA-2026:53262 vendor-advisory
- RHSA-2026:53263 vendor-advisory
- RHSA-2026:60367 vendor-advisory
- RHSA-2026:60520 vendor-advisory
- https://access.redhat.com/security/cve/CVE-2026-18982 vdb-entry
- RHBZ#2511648 issue-tracking