# CVE-2026-18982

## Summary

- **CVE ID:** CVE-2026-18982
- **Severity:** HIGH
- **CVSS Score:** 8.8 (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H)
- **CWE:** CWE-250
- **Published:** Aug 10, 2026
- **Last Modified:** Aug 27, 2026

## 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

- Red Hat — Red Hat OpenShift AI 3.3 (1785188461)
- Red Hat — Red Hat OpenShift AI 2.25 (1785187053)
- Red Hat — Red Hat OpenShift AI 3.4 (1784814352)
- Red Hat — Red Hat OpenShift AI 3.4 (1787361677)

## References

- [CNA](https://access.redhat.com/security/cve/CVE-2026-18982)
- [CNA](https://bugzilla.redhat.com/show_bug.cgi?id=2511648)
- [CNA](https://access.redhat.com/errata/RHSA-2026:53263)
- [CNA](https://access.redhat.com/errata/RHSA-2026:53261)
- [CNA](https://access.redhat.com/errata/RHSA-2026:53262)
- [CNA](https://access.redhat.com/errata/RHSA-2026:60520)

## Exploitation Prediction (EPSS)

- **EPSS Score:** 0.53%
- **EPSS Percentile:** 43.3

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_Exported from OnDuty AI Vulnerability Intelligence on 2026-09-10._