PatchSiren cyber security CVE debrief
CVE-2026-16745 Red Hat CVE debrief
AI-assisted PatchSiren debrief based on the supplied source corpus. The CVE record was published on 2026-07-23T11:16:40.043Z and has not been modified since then. The vulnerability, identified as CVE-2026-16745, affects the odh-dashboard component of Red Hat OpenShift AI (RHOAI). It allows a malicious actor within the cluster to bypass authentication and impersonate any user by providing an arbitrary access token. This could lead to unauthorized access to the Kubernetes API, potentially resulting in arbitrary code execution, privilege escalation, or information disclosure. The vulnerability highlights the importance of proper network binding and authentication mechanisms in preventing unauthorized access. Red Hat OpenShift AI (RHOAI) users and administrators should be aware of this vulnerability and take steps to mitigate it. Further verification tasks are needed to confirm affected deployments and assess potential impact.
- Vendor
- Red Hat
- Product
- Red Hat OpenShift AI 2.25
- CVSS
- HIGH 8.8
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-07-23
- Original CVE updated
- 2026-09-08
- Advisory published
- 2026-07-23
- Advisory updated
- 2026-09-08
Who should care
Red Hat OpenShift AI (RHOAI) users and administrators should be aware of this vulnerability and take steps to mitigate it. Operators, platform administrators, and security teams need to assess their deployments for potential exposure and prioritize patching the odh-dashboard component to prevent potential unauthorized access to the Kubernetes API.
Technical summary
A flaw in odh-dashboard, a component of Red Hat OpenShift AI (RHOAI), allows a malicious actor within the cluster to bypass authentication and impersonate any user by providing an arbitrary access token. This could lead to unauthorized access to the Kubernetes API, potentially resulting in arbitrary code execution, privilege escalation, or information disclosure. The vulnerability highlights the importance of proper network binding and authentication mechanisms in preventing unauthorized access.
Defensive priority
Organizations using Red Hat OpenShift AI (RHOAI) should prioritize patching the odh-dashboard component to prevent potential unauthorized access to the Kubernetes API.
Recommended defensive actions
- Apply patches for odh-dashboard provided by Red Hat
- Verify and limit access to the Kubernetes API
- Monitor for suspicious activity within the cluster
- Review compensating controls for exposed systems while remediation is scheduled and verified
- Check relevant monitoring, detection, and logs for exposed assets that need extra review
- Track exceptions, retest remediated assets, and close the item only after evidence is documented
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
Evidence notes
Evidence is limited; verification of the odh-dashboard flaw and its impact on Red Hat OpenShift AI (RHOAI) is required. The CVE record and NVD entry provide initial details. Further verification tasks are needed to confirm affected deployments and assess potential impact.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-16745 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-16745
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2026-16745 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-16745
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://access.redhat.com/errata/RHSA-2026:53261
-
Source reference
Unverified legacy reference
URL: https://access.redhat.com/errata/RHSA-2026:53262
-
Source reference
Unverified legacy reference
URL: https://access.redhat.com/errata/RHSA-2026:53263
-
Source reference
Unverified legacy reference
URL: https://access.redhat.com/security/cve/CVE-2026-16745
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.