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Advisory severityHigh8.8Vendor: CriticalRed Hat Linux

High [CVE-2026-18951] [Trainer v2 Security] TRN-02: RHOAI overlay aggregates trainjobs CRUD into standard edit ClusterRole

This high-severity Red Hat Linux advisory covers CVE-2026-18951 affecting Red Hat OpenShift AI 3.3, Red Hat OpenShift AI 3.4, Red Hat OpenShift AI 3.5.

Aggregated and source-linked by VulniPulse. Data sources, validation and limitations.

CVE-2026-18951 Source published Source updated

VulniPulse record published Record updated

CVE-2026-18951
Affected products & platforms
Red Hat LinuxUnclassified
Open source advisory

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Summary

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.

This issue is specific to the RHOAI fork and not present in upstream Kubeflow trainer. Red Hat severity: Critical — CVSS 8.8 (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H).

Weakness: CWE-267. Affected Red Hat products: Red Hat OpenShift AI 3.3; Red Hat OpenShift AI 3.4; Red Hat OpenShift AI 3.5.

Red Hat fixing advisory: RHSA-2026:53263, RHSA-2026:73987, RHSA-2026:53262, RHSA-2026:60520, RHSA-2026:60367.

Affected versions

No affected-version range was extracted from the source record. The vendor advisory is authoritative — check it before change work.

Official advisory · high-confidence parse· fetched 15 hours ago·verify at source

Fixed versions
  • rhoai/odh-training-operator-rhel9:1785188461
  • rhoai/odh-training-operator-rhel9:1790137153
  • rhoai/odh-training-operator-rhel9:1784814352
  • rhoai/odh-training-operator-rhel9:1787361677
  • rhoai/odh-latency-predictor-prediction-rhel9:1786552271
  • rhoai/odh-latency-predictor-training-rhel9:1786552250
  • RHSA-2026:53263
  • RHSA-2026:73987
  • RHSA-2026:53262
  • RHSA-2026:60520
  • RHSA-2026:60367

Official advisory · high-confidence parse· fetched 15 hours ago·verify at source

Mitigation checklist

Recommended fix / mitigation
  • 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.

Official advisory · high-confidence parse· fetched 15 hours ago·verify at source

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