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
Version statuses are supplied by the assigning organization. Consult the original record for detailed ranges and platform conditions.
Red Hat Red Hat OpenShift AI 2.25
Default version status: affected
1785187053 to < *unaffected
Red Hat Red Hat OpenShift AI 3.3
Default version status: affected
1785188461 to < *unaffected
Red Hat Red Hat OpenShift AI 3.4
Default version status: affected
1784814352 to < *unaffected
Red Hat Red Hat OpenShift AI 3.4
Default version status: affected
1787361677 to < *unaffected
Red Hat Red Hat OpenShift AI 3.5
Default version status: affected
1786552271 to < *unaffected
Red Hat Red Hat OpenShift AI 3.5
Default version status: affected
1786552250 to < *unaffected
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 ↗