Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows

Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.15.0, the frontend routes /pipeline/k8s/pod and /pipeline/k8s/pod/events use frontend/server/k8s-helper.ts to include untrusted podname and podnamespace query values and backend error details in HTML-capable error responses. An unauthenticated attacker can craft a link that executes JavaScript in the frontend origin when a user who satisfies the deployment's authentication and route-access requirements follows it and reaches an affected response. Cookie disclosure depends on cookie attributes, and server-side code execution or availability impact is not established. This issue is fixed in version 2.15.0.