Описание
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.
Отчет
Important: This flaw allows for privilege escalation within the cluster by bypassing authentication. It is due to the odh-dashboard backend binding to 0.0.0.0:8080 and trusting the x-forwarded-access-token header without origin validation. This enables any pod in the cluster to impersonate users by supplying an arbitrary token, circumventing the intended kube-rbac-proxy authentication. This affects Red Hat OpenShift AI (RHOAI) versions 2.25, 3.3, and 3.4.
Дополнительная информация
Статус:
EPSS
8.8 High
CVSS3
Связанные уязвимости
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.
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.
EPSS
8.8 High
CVSS3