A flaw was found in odh-dashboard, the web console component of Red Hat OpenShift AI (RHOAI). (CVE-2026-16745)
A flaw was found in odh-dashboard, the web console component of Red Hat OpenShift AI (RHOAI). Due to incorrect network binding, a malicious actor within the cluster can bypass authentication and impersonate any user by providing an arbitrary access token. This allows an attacker to gain unauthorized access to the Kubernetes API, potentially leading to arbitrary code execution, privilege escalation, or information disclosure.
AI Analysis
Technical Summary
CVE-2026-16745 is a security flaw in the odh-dashboard component of Red Hat OpenShift AI. Due to incorrect network binding, an attacker with access inside the cluster can bypass authentication by supplying an arbitrary access token, allowing them to impersonate any user. This unauthorized access to the Kubernetes API could enable critical impacts such as arbitrary code execution, privilege escalation, and disclosure of sensitive information. The vulnerability is classified under CWE-346 (Origin Validation Error). Red Hat has issued security advisories RHSA-2026:53261 and RHSA-2026:53262, releasing updated RHOAI images (2.25.10 and 3.4.3) that mitigate this issue. Users are advised to upgrade their clusters following the official Red Hat OpenShift AI documentation to fully apply the fixes.
Potential Impact
An attacker with access inside the cluster can bypass authentication controls on the odh-dashboard component, impersonate any user, and gain unauthorized access to the Kubernetes API. This can lead to severe impacts including arbitrary code execution, privilege escalation, and information disclosure within the affected environment.
Mitigation Recommendations
Red Hat has released updated images for Red Hat OpenShift AI versions 2.25.10 and 3.4.3 that address this vulnerability. Users should upgrade to these versions following the official Red Hat OpenShift AI upgrade documentation to fully apply the errata update and mitigate the risk. Patch status is confirmed by Red Hat advisories RHSA-2026:53261 and RHSA-2026:53262.
A flaw was found in odh-dashboard, the web console component of Red Hat OpenShift AI (RHOAI). (CVE-2026-16745)
Description
A flaw was found in odh-dashboard, the web console component of Red Hat OpenShift AI (RHOAI). Due to incorrect network binding, a malicious actor within the cluster can bypass authentication and impersonate any user by providing an arbitrary access token. This allows an attacker to gain unauthorized access to the Kubernetes API, potentially leading to arbitrary code execution, privilege escalation, or information disclosure.
CVSS v3.1
Score 8.8high
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-16745 is a security flaw in the odh-dashboard component of Red Hat OpenShift AI. Due to incorrect network binding, an attacker with access inside the cluster can bypass authentication by supplying an arbitrary access token, allowing them to impersonate any user. This unauthorized access to the Kubernetes API could enable critical impacts such as arbitrary code execution, privilege escalation, and disclosure of sensitive information. The vulnerability is classified under CWE-346 (Origin Validation Error). Red Hat has issued security advisories RHSA-2026:53261 and RHSA-2026:53262, releasing updated RHOAI images (2.25.10 and 3.4.3) that mitigate this issue. Users are advised to upgrade their clusters following the official Red Hat OpenShift AI documentation to fully apply the fixes.
Potential Impact
An attacker with access inside the cluster can bypass authentication controls on the odh-dashboard component, impersonate any user, and gain unauthorized access to the Kubernetes API. This can lead to severe impacts including arbitrary code execution, privilege escalation, and information disclosure within the affected environment.
Mitigation Recommendations
Red Hat has released updated images for Red Hat OpenShift AI versions 2.25.10 and 3.4.3 that address this vulnerability. Users should upgrade to these versions following the official Red Hat OpenShift AI upgrade documentation to fully apply the errata update and mitigate the risk. Patch status is confirmed by Red Hat advisories RHSA-2026:53261 and RHSA-2026:53262.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- GHSA-h5q4-fjj4-4792
- Osv Schema Version
- 1.4.0
- Aliases
- ["CVE-2026-16745"]
- Database Specific Severity
- HIGH
- Cvss Version
- 3.1
- State
- PUBLISHED
Patch Information
Threat ID: 6a7c9b7bbf8831d539ce139e
Added to database: 08/12/2026, 16:12:43 UTC
Last enriched: 08/12/2026, 17:36:13 UTC
Last updated: 09/25/2026, 09:27:46 UTC
Views: 64
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