Description (CNA)
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 (CNA)
| Vendor / product | Versions |
|---|---|
| Red Hat / Red Hat OpenShift AI 2.25 | unaffected 1785187053 before * |
| Red Hat / Red Hat OpenShift AI 3.3 | unaffected 1785188461 before * |
| Red Hat / Red Hat OpenShift AI 3.4 | unaffected 1784814352 before * |
| Red Hat / Red Hat OpenShift AI 3.4 | unaffected 1787361677 before * |
| Red Hat / Red Hat OpenShift AI 3.5 | unaffected 1786552271 before * |
| Red Hat / Red Hat OpenShift AI 3.5 | unaffected 1786552250 before * |
CWE
CWE-250
References
- https://access.redhat.com/errata/RHSA-2026:53261
- https://access.redhat.com/errata/RHSA-2026:53262
- https://access.redhat.com/errata/RHSA-2026:53263
- https://access.redhat.com/errata/RHSA-2026:60367
- https://access.redhat.com/errata/RHSA-2026:60520
- https://access.redhat.com/security/cve/CVE-2026-18982
- https://bugzilla.redhat.com/show_bug.cgi?id=2511648
ADP enrichment
No English description supplied.
No references supplied.