No analysis available yet.
Vendor Workaround
Administrators should review and adjust their Kubernetes RBAC configurations within Red Hat OpenShift AI to ensure that `trainjobs` permissions are explicitly managed. This involves removing `trainjobs` from the `aggregate-to-edit` ClusterRole labels or requiring explicit `RoleBinding` for `trainjobs` access. This prevents implicit permission grants to namespace editors and reduces the attack surface. Consult Kubernetes documentation for specific instructions on modifying ClusterRoles and RoleBindings. A restart or reload of affected components may be required for changes to take effect.
Tracking
Sign in to view the affected projects.
No advisories yet.
Mon, 10 Aug 2026 21:00:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| Description | A flaw was found in the Red Hat OpenShift AI (RHOAI) overlay for the training operator. The RHOAI overlay incorrectly aggregates `trainjobs` management permissions into the native Kubernetes `edit ClusterRole`. This allows any user with `edit ClusterRole` permissions in a namespace to create, modify, and delete `TrainJobs`. When combined with a separate vulnerability (TRN-01) that permits arbitrary pod configurations, a remote attacker with namespace editor privileges could exploit this to escalate privileges, potentially leading to arbitrary code execution. | |
| Title | Odh-training-operator-rhel9: [trainer v2 security] trn-02: rhoai overlay aggregates trainjobs crud into standard edit clusterrole | |
| First Time appeared |
Redhat
Redhat openshift Ai |
|
| CPEs | cpe:/a:redhat:openshift_ai | |
| Vendors & Products |
Redhat
Redhat openshift Ai |
|
| References |
| |
| Metrics |
cvssV3_1
|
Status: PUBLISHED
Assigner: redhat
Published:
Updated: 2026-08-10T20:45:10.112Z
Reserved: 2026-08-05T13:41:38.511Z
Link: CVE-2026-18951
No data.
No data.
No data.
OpenCVE Enrichment
No data.
No weakness.