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Vulnerability · Published Aug 10, 2026 · Assigned by redhat

CVE-2026-18982Odh-training-operator-rhel9: rhoai fork aggregates training job create onto native edit/admin clusterroles

High 8.8

In plain English

A high-severity security flaw in Red Hat OpenShift AI 2.25 from Red Hat. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.8% (higher than 56% of all known vulnerabilities).

Severity (CVSS 3.1)8.8High
Exploit odds (30 days)0.8%top 43.5% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official 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 (as reported)

VendorProductVersions
Red Hat Red Hat OpenShift AI 2.25 see references
Red Hat Red Hat OpenShift AI 3.3 see references
Red Hat Red Hat OpenShift AI 3.4 see references
Red Hat Red Hat OpenShift AI 3.4 see references
Red Hat Red Hat OpenShift AI 3.5 see references
Red Hat Red Hat OpenShift AI 3.5 see references

Weakness: CWE-250 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

References