CVE-2026-18951
Received Received - Intake

Privilege Escalation in Red Hat OpenShift AI TrainJobs

Vulnerability report for CVE-2026-18951, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-08-10

Last updated on: 2026-08-10

Assigner: Red Hat, Inc.

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.

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Meta Information

Published
2026-08-10
Last Modified
2026-08-10
Generated
2026-08-11
AI Q&A
2026-08-11
EPSS Evaluated
N/A
NVD

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
red_hat openshift_ai *

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-UNKNOWN

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Executive Summary

This vulnerability is in Red Hat OpenShift AI (RHOAI) where the training operator's permissions are incorrectly set. The native Kubernetes edit ClusterRole is given elevated permissions to manage TrainJobs, allowing users with edit permissions to create, modify, and delete TrainJobs. Combined with another vulnerability (TRN-01), this could let an attacker with namespace editor privileges escalate privileges and execute arbitrary code.

Impact Analysis

If you have edit ClusterRole permissions in a namespace, an attacker could exploit this to gain higher privileges. This may allow them to run unauthorized code, access sensitive data, or disrupt services in your environment.

Mitigation Strategies

Review and restrict permissions for users with the edit ClusterRole in namespaces where Red Hat OpenShift AI is deployed. Remove TrainJob management permissions from the edit ClusterRole to prevent unauthorized creation, modification, or deletion of TrainJobs.

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