External risk intelligence

OpenShift AI odh-dashboard Kubernetes Token Disclosure

CVE advisorySeverity: CRITICAL (CVSS 9.9)

CVE-2026-5483

The vulnerability exists in a dashboard component designed for managing AI workflows within OpenShift. Such dashboards are commonly deployed as web-based interfaces accessed by users over a network, making them frequent targets for web-facing exposure in organizational deployments.

Redhat Openshift Ai

2.16 to before 2.16.42.25 to before 2.25.43.23.3

Halo Surface Signal: 4 out of 5 — likely to be public-facing.

External exposure likelihood

Horizon Alert

Summary of the vulnerability and why it matters

A vulnerability has been identified in a component of Red Hat OpenShift AI that could allow for the exposure of sensitive authentication tokens. This exposure may enable unauthorized access to Kubernetes resources, impacting the security of your AI workloads. The primary concern is to confirm if your environment is affected and understand the potential implications.

Sensitive tokens could be exposed.
Prevents unauthorized access to resources.
Confirm relevance and potential impact.

Attack Path

How an attacker could exploit the issue

An attacker with limited privileges could exploit this vulnerability by interacting with a specific NodeJS endpoint within the `odh-dashboard` component of Red Hat OpenShift AI. This interaction could lead to the disclosure of sensitive Kubernetes Service Account tokens, which an attacker could then use to gain unauthorized access to cluster resources.

Unauthenticated or low-privilege access required.
Triggered by accessing a NodeJS endpoint.
Risk of unauthorized Kubernetes resource access.

Live Threat

Current exploitation, exposure, and threat context

A flaw in `odh-dashboard` for Red Hat OpenShift AI could allow an attacker to reveal Kubernetes Service Account tokens via a NodeJS endpoint. When supported, this exposure could lead to unauthorized access to Kubernetes resources.

Kubernetes Service Account tokens at risk.
Tokens exposed via a NodeJS endpoint.
Unauthorized access to Kubernetes resources.

Operational Fix

Recommended remediation, mitigation, and detection steps

The `odh-dashboard` component of Red Hat OpenShift AI is the likely area of concern, potentially implicating platform or application teams responsible for its deployment and management. The first practical step is to identify all instances of this component, assess their reachability and criticality, and confirm the accountable owner for remediation planning.

Platform or application teams should own the issue.
Verify `odh-dashboard` exposure and critical assets.
Plan remediation with vendor and owners.

Supplementary metadata

CVSS vector

Validate whether this threat affects your internet-facing exposure.

Halo Threat Intelligence helps prioritize remediation with Halo Surface Signal and H/A/L/O context. Start exposure validation with a free external attack surface trial.

Free EASM Trial See How Signal Works

Frequently asked questions

What is the odh-dashboard component in Red Hat OpenShift AI?

The odh-dashboard is the primary web-based user interface for Red Hat OpenShift AI. It provides a centralized space for data scientists and developers to build, manage, and monitor AI models and workflows directly within a Kubernetes cluster environment.

How does CVE-2026-5483 allow unauthorized access to resources?

This vulnerability falls under the weakness class of CWE-201, which involves the unintended exposure of sensitive information. In this case, a specific NodeJS endpoint in the dashboard inadvertently leaks Kubernetes Service Account tokens. If obtained, these tokens act as digital keys, potentially allowing an attacker to impersonate the service account and gain unauthorized control over cluster resources.

Does interacting with any dashboard feature trigger this flaw?

No, the vulnerability is not triggered by general use of all dashboard features. It is specifically tied to interaction with a particular NodeJS endpoint within the odh-dashboard component that fails to properly secure sensitive token data. Accessing unrelated parts of the interface does not necessarily activate the underlying path that leads to this token disclosure.

Why should I care about this if my dashboard is not public?

Halo Surface Signal indicates that because the odh-dashboard is designed as a web-based interface for AI workflows, it is frequently deployed where users can reach it over a network. Even if not on the public internet, any internal user or service with network reach to this endpoint could potentially exploit the vulnerability if they have the necessary low-level access to interact with it.

What is the first step to address CVE-2026-5483?

Begin by auditing your environment to identify all active instances of the odh-dashboard component. Once located, coordinate with your platform or application teams to determine which instances are running the affected versions and prioritize them for updates based on your internal change management policies.

References

Written by Nicholas Merritt

Nicholas Merritt is VP of Security Solutions at Halo Security. With more than 25 years across application security, vulnerability prioritization, and offensive security, he helps teams translate threat data into practical exposure validation and remediation focus. He authors Halo Threat Intelligence CVE advisories using Halo Surface Signal and H/A/L/O context to prioritize internet-facing risk.