CVE-2026-15063 in OpenShift AI
Summary
by MITRE • 07/08/2026
A flaw was found in the gorch service template, which is part of the trustyai-service-operator. Even when authentication is enabled, the gorch service exposes unproxied orchestrator and detector metrics ports. This allows any pod on the cluster network to directly access these ports, bypassing the kube-rbac-proxy and its authentication mechanisms. This could lead to unauthorized access to the orchestrator and detector metrics.
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Analysis
by VulDB Data Team • 07/08/2026
The vulnerability identified in the gorch service template within the trustyai-service-operator represents a critical misconfiguration that undermines fundamental security controls designed to protect sensitive operational metrics. This flaw exists at the intersection of Kubernetes network security and service authentication mechanisms, where proper isolation should prevent unauthorized access to internal system components. The gorch service, which serves as an orchestrator for trustyai operations, exposes metrics ports directly without proper proxy mediation despite having authentication enabled at the operator level.
The technical implementation flaw stems from improper port exposure configuration within the service template definition. When authentication is enabled, the system should enforce that all communication routes through the kube-rbac-proxy component which acts as an authentication gateway for Kubernetes services. However, in this case, the orchestrator and detector metrics ports remain directly accessible on the cluster network without requiring authentication validation. This direct exposure violates the principle of least privilege and creates an attack surface where any pod within the cluster's network can access these metrics endpoints.
The operational impact of this vulnerability extends beyond simple information disclosure to potentially enable more sophisticated attacks against the trustyai service infrastructure. An attacker with access to any pod within the cluster could retrieve sensitive orchestrator and detector metrics that may reveal system configuration details, performance characteristics, and operational patterns. This information could be leveraged to craft targeted attacks against the trustyai service or to identify potential weaknesses in the broader AI model management system. The vulnerability particularly affects environments where multiple teams share the same Kubernetes cluster, as it eliminates the authentication boundaries that should protect sensitive operational data.
According to CWE-284, this vulnerability maps directly to inadequate access control mechanisms, specifically where unauthorized users can access protected resources through bypassing authentication controls. The ATT&CK framework would categorize this under privilege escalation techniques, as attackers could use the exposed metrics endpoints to gather intelligence for further exploitation. The proper remediation involves configuring the service template to ensure that all metrics ports are proxied through kube-rbac-proxy with appropriate authentication enforcement. This requires updating the gorch service configuration to remove direct port exposure and implement proper proxying mechanisms that maintain the intended security posture while preserving necessary operational functionality. Organizations should also conduct comprehensive network policy reviews to ensure no other services within their trustyai deployments suffer from similar misconfigurations.