CVE-2026-88979 (GCVE-0-2026-88979)
Vulnerability from cvelistv5 – Published: 2026-11-05 22:14 – Updated: 2026-11-06 17:39
VLAI
EPSS
VEX
Title
Kubeflow Pipelines: Unauthenticated SSRF vulnerability in Kubeflow Pipelines TensorBoard proxy
Summary
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. From 2.17.0 until 2.18.0, the TensorBoard proxy token introduced by the incomplete remediation for CVE-2026-54745 uses MINIO_SECRET_KEY as its HMAC secret, whose bundled default is publicly known. In an authorization-disabled deployment using that default, an unauthenticated attacker can forge a token containing a chosen viewerName and namespace; the proxy constructs the destination from the viewerName plus the -service suffix, the namespace, and the configured cluster domain, then reads responses on port 80 under the /tensorboard/<viewer>/ path. Resource-name validation and path-traversal rejection remain enforced, authorization-enabled deployments still check access to the selected namespace, and unrestricted metadata access, writes, or service disruption are not established. This issue is fixed in version 2.18.0.
Severity
5.8 (Medium)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-11-06 17:39 UTC
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/kubeflow/pipelines/security/ad… | x_refsource_CONFIRM |
| https://github.com/kubeflow/pipelines/pull/14346 | x_refsource_MISC |
| https://github.com/kubeflow/pipelines/commit/c8ef… | x_refsource_MISC |
| https://github.com/kubeflow/pipelines/releases/ta… | x_refsource_MISC |
Impacted products
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.