Improper access control in Red Hat OpenShift AI 3.3
Key facts
- Attack vector
- Network
- Privileges required
- Low
- User interaction
- None
- Attack complexity
- Low
- Impact type
- Security bypass
- Confidentiality · integrity · availability
- High · High · High
- Fix status
- Fixed
Attack profile from CVSS 3.1 · CNA. Fix status from CNA and Red Hat. Impact type from CWE-284.
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.
Why it matters now
SSVC decision points
CISA ADP · SSVC 2.0.3
- Exploitation
- None
- Automatable
- No
- Technical impact
- Total
The decision (Track, Attend, Act) also depends on your mission and well-being impact; see CISA's SSVC guide.
Affected products
| Vendor | Product | Affected versions | Fixed in | Status | Source |
|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 3.3 | — | 1785188461 | Patch available | CNA |
| Red Hat | Red Hat OpenShift AI 3.3 | — | 1790137153 | Patch available | CNA |
| Red Hat | Red Hat OpenShift AI 3.4 | — | 1784814352 | Patch available | CNA |
| Red Hat | Red Hat OpenShift AI 3.4 | — | 1787361677 | Patch available | CNA |
| Red Hat | Red Hat OpenShift AI 3.5 | — | 1786552271 | Patch available | CNA |
| Red Hat | Red Hat OpenShift AI 3.5 | — | 1786552250 | Patch available | CNA |
- Red Hat OpenShift AI 3.3 VendorRed Hat Affected — Fixed in 1785188461 Patch available CNA
- Red Hat OpenShift AI 3.3 VendorRed Hat Affected — Fixed in 1790137153 Patch available CNA
- Red Hat OpenShift AI 3.4 VendorRed Hat Affected — Fixed in 1784814352 Patch available CNA
- Red Hat OpenShift AI 3.4 VendorRed Hat Affected — Fixed in 1787361677 Patch available CNA
- Red Hat OpenShift AI 3.5 VendorRed Hat Affected — Fixed in 1786552271 Patch available CNA
- Red Hat OpenShift AI 3.5 VendorRed Hat Affected — Fixed in 1786552250 Patch available CNA
Remediation
Red Hat 5 advisories
- RHSA-2026:73987 Released 2026-09-30 · Red Hat rating CriticalRHOAI 3.3.7 - Red Hat OpenShift AI
- Red Hat OpenShift AI 3.3 registry.redhat.io/rhoai/odh-built-in-detector-rhel9, registry.redhat.io/rhoai/odh-dashboard-rhel9, registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9 +47
- RHSA-2026:60520 Released 2026-08-27 · Red Hat rating CriticalRHOAI 3.4.4 - Red Hat OpenShift AI
- Red Hat OpenShift AI 3.4 registry.redhat.io/rhoai/odh-automl-rhel9, registry.redhat.io/rhoai/odh-autorag-rhel9, registry.redhat.io/rhoai/odh-built-in-detector-rhel9 +47
- RHSA-2026:60367 Released 2026-08-26 · Red Hat rating CriticalRHOAI 3.5 - Red Hat OpenShift AI
- Red Hat OpenShift AI 3.5 registry.redhat.io/rhoai/odh-latency-predictor-prediction-rhel9, registry.redhat.io/rhoai/odh-latency-predictor-training-rhel9
Show 2 more Red Hat advisories
- RHSA-2026:53263 Released 2026-08-11 · Red Hat rating CriticalRHOAI 3.3.6 - Red Hat OpenShift AI
- Red Hat OpenShift AI 3.3 registry.redhat.io/rhoai/odh-built-in-detector-rhel9, registry.redhat.io/rhoai/odh-dashboard-rhel9, registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9 +6
- RHSA-2026:53262 Released 2026-08-11 · Red Hat rating CriticalRHOAI 3.4.3 - Red Hat OpenShift AI
- Red Hat OpenShift AI 3.4 registry.redhat.io/rhoai/odh-built-in-detector-rhel9, registry.redhat.io/rhoai/odh-dashboard-rhel9, registry.redhat.io/rhoai/odh-data-science-pipelines-operator-controller-rhel9 +8
Fixed in the same release
Records fixed by the same vendor advisory or release, as the CNA lists them.
- Advisory ·
Red Hat OpenShift AI 3.3, Red Hat OpenShift AI 3.4, Red Hat OpenShift AI 3.5 — RHSA-2026:60367
9 records Highest priority Priority MEDIUM 6 MEDIUM, 3 LOW
Other records, highest priority first
- TI-2026-15512 Odh-training-operator-rhel9: rhoai fork aggregates training job create onto native edit/admin clusterrolesPriority MEDIUM 41
- TI-2026-15260 Mass assignment in Red Hat OpenShift AI 2.25Priority MEDIUM 41
- TI-2026-15252 Data-science-pipelines-operator: dspo: operator clusterrole grants pods/exec:*…Priority MEDIUM 41
Vendor assessments
Red Hat
Red Hat rating: Critical. Red Hat's page for this CVE →
| Product | Status | Plan or fix |
|---|---|---|
| Red Hat OpenShift AI 3.3 | Fixed | RHSA-2026:53263, RHSA-2026:73987 |
| Red Hat OpenShift AI 3.4 | Fixed | RHSA-2026:53262, RHSA-2026:60520 |
| Red Hat OpenShift AI 3.5 | Fixed | RHSA-2026:60367 |
Not affected: 2 products
- Red Hat OpenShift AI 3.3
- Red Hat OpenShift AI 3.4
Timeline
- 2026-10-02 Threatist record created from CVE-2026-18951
- 2026-10-03 Alias added: GHSA-h7xh-qc2m-rc58
- 2026-10-07 Fix available: RHSA-2026:73987 · Red Hat
References
More Red Hat vulnerabilities
- TI-2019-15875 Protection mechanism failure in Jenkins Pipeline: Groovy Plugin KEVCVSS 3.1CRITICAL 9.9
- TI-2019-15874 Protection mechanism failure in Jenkins Script Security Plugin KEVCVSS 3.1CRITICAL 9.9
- TI-2019-08259 Underflow in PHP-FPM can lead to RCE KEVCVSS 3.1CRITICAL 9.8
- TI-2019-05363 Code injection in Elastic Kibana KEVCVSS 3.1CRITICAL 10.0
- TI-2019-03949 Out-of-bounds write in ESXi and Horizon DaaS KEVCVSS 3.1CRITICAL 9.8
- TI-2018-16080 A code execution vulnerability exists in the Stapler web framework used by Jenkins 2.153… KEVCVSS 3.1CRITICAL 9.8
Sources
- CVE-2026-18951 · CVE Program
- CVE-2026-18951 · NVD
- FIRST EPSS
- GHSA-h7xh-qc2m-rc58 · GitHub Advisory Database · CC BY 4.0
- CVE-2026-18951 · Red Hat security data · CC BY 4.0
This product uses the NVD API but is not endorsed or certified by the NVD. Sources and licences