Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.17.0, the API server trusts structural SQL identifier fields decoded from the base64-encoded JSON page_token parameter before constructing list queries. An attacker who can invoke an affected pipeline or run list API can inject through KeyFieldName or SortByFieldName, including v1beta1 and v2beta1 run-listing metric paths, and read data available to the API server database account across namespaces. Database modification is not established. This issue is fixed in version 2.17.0.
https://github.com/kubeflow/pipelines/security/advisories/GHSA-r4mx-2gr2-8277
https://github.com/kubeflow/pipelines/releases/tag/2.17.0
https://github.com/kubeflow/pipelines/pull/13127
https://github.com/kubeflow/pipelines/commit/ac3a4c65677a3bc7a3d5b1e264fba41178d4ab32