pipelines at a glance
- Last 12 months
- 14
- Critical · all time
- 2
- Exploited · all time
- 0
- Public exploit · all time
- 0
Show as table
| Month | Vulnerabilities | Critical |
|---|---|---|
| Nov 2026 | 9 | 1 |
| Oct 2026 | 4 | 0 |
| Sep 2026 | 0 | 0 |
| Aug 2026 | 1 | 1 |
| Jul 2026 | 0 | 0 |
| Jun 2026 | 0 | 0 |
| May 2026 | 0 | 0 |
| Apr 2026 | 0 | 0 |
| Mar 2026 | 0 | 0 |
| Feb 2026 | 0 | 0 |
| Jan 2026 | 0 | 0 |
| Dec 2025 | 0 | 0 |
| Nov 2025 | 0 | 0 |
| Oct 2025 | 0 | 0 |
| Sep 2025 | 0 | 0 |
| Aug 2025 | 0 | 0 |
| Jul 2025 | 0 | 0 |
| Jun 2025 | 0 | 0 |
| May 2025 | 0 | 0 |
| Apr 2025 | 0 | 0 |
| Mar 2025 | 0 | 0 |
| Feb 2025 | 0 | 0 |
| Jan 2025 | 0 | 0 |
| Dec 2024 | 0 | 0 |
14 results · Feed
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Medium 5.4
Kubeflow Pipelines: Cross-tenant execution-cache poisoning / output substitution via a namespace-blind cache key in the cache webhook (multi-user)
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the legacy V1/raw-Argo execution cache mutating webhook and cache-server storage path hash selected template fields without the Kubernetes nam…
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Critical 9.6
Kubeflow Pipelines API server lacks authorization for shared pipeline uploads
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/upload_version call canUploadVersionedPipel…
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High 8.6
Kubeflow Pipelines: Unauthenticated SSRF through artifact provider endpoints
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the frontend artifact download path for source=s3 or source=minio accepts providerInfo.Params.endpoint, and the archived pod-log path accepts …
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High 8.6
Kubeflow Pipelines: Unauthenticated server-side request forgery in the frontend http/https artifact source via decimal-IP bypass of the bucket validator
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the frontend GET /artifacts/get route accepts source=http or source=https with caller-controlled bucket and key values, and isAllowedResourceN…
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Medium 5.8
Kubeflow Pipelines: Unauthenticated SSRF vulnerability in Kubeflow Pipelines TensorBoard proxy
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, who…
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High 7.2
Kubeflow Pipelines: RBAC bypass on shared pipelines allows any authenticated user to delete or modify global pipelines
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.16.1, the multi-user API server treats the empty namespace used by shared or global pipelines as an authorization exception for modification and del…
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Medium 6.1
Kubeflow Pipelines: Reflected XSS in the frontend pod information and events error responses
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 podnames…
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Medium 6.5
Kubeflow Pipelines: SQL injection through unvalidated pagination tokens in Kubeflow Pipelines API server
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 quer…
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Medium 5.0
Kubeflow Pipelines — API server fetches a caller-supplied pipelineURL without host validation
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.17.0, the API server's pipeline and pipeline-version creation paths fetch a caller-supplied pipelineURL without restricting the destination. An auth…
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High 7.5
Kubeflow Pipelines: Pipeline archive upload allows decompression bomb to exhaust server memory
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the API server decompressed uploaded pipeline archives without adequately bounding expanded data while locating or reading the pipeline file. …
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Medium 6.5
Kubeflow Pipelines: Missing namespace authorization permits cross-tenant artifact reads
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. From 0.5.1 until 2.17.0, the frontend artifact routes did not check whether an authenticated user was authorized to access the requested namespace. A user who …
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High 7.5
Kubeflow Pipelines: Run log streaming endpoint bypasses namespace authorization, exposing pod execution logs cross-tenant
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the API server's GET /apis/v1alpha1/runs/{run_id}/nodes/{node_id}/log handler retrieved logs without authorizing the caller against the select…
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High 7.5
Kubeflow: Unauthenticated path traversal to arbitrary file read on ml-pipeline-ui via the volume artifact source
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the volume artifact handler for GET /artifacts/get?source=volume did not confine a caller-supplied file path to the selected volume. A caller …
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Critical 10.0
Kubeflow Pipelines: Unauthenticated SSRF and HTTP smuggling in Kubeflow Pipelines frontend /_proxy/ route, bypasses ENABLE_AUTHZ=true
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.17.0, the Kubeflow Pipelines frontend exposes an unauthenticated server-side request forgery vulnerability through the /_proxy/ route in frontend/se…