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kubeflow

20 known vulnerabilities.

kubeflow at a glance

Last 12 months
16
Critical · all time
2
Exploited · all time
0
Public exploit · all time
0
New vulnerabilities per month · last 12 months
0 5 10 December 2025: 0 vulnerabilities Dec 2025 January 2026: 0 vulnerabilities February 2026: 0 vulnerabilities March 2026: 0 vulnerabilities Mar April 2026: 0 vulnerabilities May 2026: 0 vulnerabilities June 2026: 0 vulnerabilities Jun July 2026: 1 vulnerability August 2026: 1 vulnerability, 1 critical September 2026: 0 vulnerabilities Sep October 2026: 5 vulnerabilities November 2026: 9 vulnerabilities, 1 critical
Show as table
MonthVulnerabilitiesCritical
Nov 202691
Oct 202650
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Jul 202610
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20 results · Feed

  • 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…

  • 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…

  • 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 …

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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. …

  • 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 …

  • 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…

  • 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 …

  • High 7.1

    Kubeflow Model Registry through 0.3.17 SSRF via InferenceService Controller URL Annotation

    Kubeflow Model Registry through 0.3.17 contains a server-side request forgery vulnerability that allows namespace users to steal the controller ServiceAccount token via the modelregistry.kubeflow.org/url annotation. Attackers can create an InferenceService po…

  • 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…

  • High 8.0

    Kubeflow Community Distribution: Overly Permissive Istio Permissions Allows Kubeflow Authorization Token Stealing

    Kubeflow Community Distribution helps users to install Kubeflow Platform in popular Kubernetes clusters. Prior to version 26.03-rc.1, a Kubeflow setup based on the official manifests or most other packaged Kubeflow distributions is vulnerable to authorization…

  • High 7.1

    Stored XSS in Kubeflow Pipeline View

    There exists a stored XSS Vulnerability in Kubeflow Pipeline View web UI. The Kubeflow Web UI allows to create new pipelines. When creating a new pipeline, it is possible to add a description. The description field allows html tags, which are not filtered pro…

  • High 7.5

    ReDoS in kubeflow/kubeflow

    kubeflow/kubeflow is vulnerable to a Regular Expression Denial of Service (ReDoS) attack due to inefficient regular expression complexity in its email validation mechanism. An attacker can remotely exploit this vulnerability without authentication by providin…

  • Medium 5.4

    Cross-site Scripting (XSS) - Reflected in kubeflow/kubeflow

    Cross-site Scripting (XSS) - Reflected in kubeflow/kubeflow

  • High 7.7

    Server-Side Request Forgery (SSRF) in kubeflow/kubeflow

    Server-Side Request Forgery (SSRF) in kubeflow/kubeflow