Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows.
CVE-2026-77596
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the multi-user HTTP endpoints POST /apis/v2beta1/pipelines/upload and POST /apis/v2beta1/pipelines/uploadversion call canUploadVersionedPipeline, which returns without SubjectAccessReview when the target namespace is empty while REQUIRENAMESPACEFORPIPELINES defaults to false. A low-privilege tenant can create shared pipelines or inject attacker-controlled versions into existing shared pipelines without the required write permission; if the API server is directly reachable without an authenticating proxy, an unauthenticated caller can exploit the same bypass, while deployments protected by such a proxy do not expose anonymous access. An enabled unpinned recurring run that follows the latest version can then execute the injected specification in another tenant's namespace under that workload's service account, while pinned or embedded-specification runs are not automatically substituted. This issue is fixed in version 2.18.0.
Part of the AI stack
This affects Kubeflow, in Training & MLOps.
Assessment
- CVSS
- 9.6 (v3.1)
- Severity
- Critical
- Known exploited
- Not listed in CISA KEV
- Exploit availability
- Nothing found in Exploit-DB, Metasploit, Nuclei or public PoC repositories
- Published
- 5 November 2026
- Last updated
- 5 November 2026
- Assigner
- GitHub_M
CVSS vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:N
At the source
References
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