NewApp Monitoring is liveSign up free
AgentbeamBeta
Open-source package vulnerability · Go

CVE-2025-62714: Karmada Dashboard API Unauthorized Access Vulnerability

criticalGHSA-5qjg-9mjh-4r92

Impact This is an authentication bypass vulnerability in the Karmada Dashboard API. The backend API endpoints (e.g., /api/v1/secret, /api/v1/service) did not enforce authentication, allowing unauthenticated users to access sensitive cluster information such as Secrets and Services directly.

Published Oct 24, 2025 · Updated Jul 6, 2026

Affected packages

github.com/karmada-io/dashboard

Ecosystem
Go
Affected
< 0.2.0
Fixed in
0.2.0
Check
go list -m github.com/karmada-io/dashboard

Advisory details

From the GitHub Advisory Database (CC BY 4.0).

Impact

This is an authentication bypass vulnerability in the Karmada Dashboard API. The backend API endpoints (e.g., /api/v1/secret, /api/v1/service) did not enforce authentication, allowing unauthenticated users to access sensitive cluster information such as Secrets and Services directly. Although the web UI required a valid JWT for access, the API itself remained exposed to direct requests without any authentication checks. Any user or entity with network access to the Karmada Dashboard service could exploit this vulnerability to retrieve sensitive data.

Patches

The issue has been fixed in Karmada Dashboard v0.2.0. This release enforces authentication for all API endpoints. Users are strongly advised to upgrade to version v0.2.0 or later as soon as possible.

Workarounds

If upgrading is not immediately feasible, users can mitigate the risk by:

  • Restricting network access to the Karmada Dashboard service using Kubernetes Network Policies, firewall rules, or ingress controls.
  • Placing the Dashboard behind a reverse proxy that enforces authentication (e.g., OAuth2 proxy) to add an additional layer of security.

References

  • Karmada Dashboard v0.2.0 Release : https://github.com/karmada-io/dashboard/releases/tag/v0.2.0
  • Fix PR #271
  • Fix PR #280

Credited to warjiang, noxosd, RainbowMango, cookesan.

References

How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology