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Red Hat OpenShift AI odh-dashboard network binding flaw allows in-cluster attacker to bypass authentication and impersonate any user

Last refreshed2026-09-30

Status: NEW  |  Advisory ID: CVE-2026-16745

Key Details

CVECVE-2026-16745
CVSS Score / Version8.8 (High) / CVSS v3.1
Updated2026-09-08
CVSS VectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CVSS Proseattack vector is network; attack complexity is low; privileges required is low; user interaction is none; scope is unchanged; confidentiality impact is high; integrity impact is high; availability impact is high.
Classified asCWE-346 (Origin Validation Error)

What to Know

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. (NVD)

References

SourceReference
NVDhttps://nvd.nist.gov/vuln/detail/CVE-2026-16745
CVEhttps://www.cve.org/CVERecord?id=CVE-2026-16745