Allocation of Resources Without Limits or Throttling Affecting kubeflow-pipelines-apiserver-fips package, versions <2.16.1-r2


Severity

Recommended
0.0
high
0
10

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Threat Intelligence

EPSS
0.6% (49th percentile)

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  • Snyk IDSNYK-MINIMOSLATEST-KUBEFLOWPIPELINESAPISERVERFIPS-17401829
  • published23 Jun 2026
  • disclosed9 May 2026

Introduced: 9 May 2026

CVE-2026-42294  (opens in a new tab)
CWE-770  (opens in a new tab)

How to fix?

Upgrade Minimos:latest kubeflow-pipelines-apiserver-fips to version 2.16.1-r2 or higher.

NVD Description

Note: Versions mentioned in the description apply only to the upstream kubeflow-pipelines-apiserver-fips package and not the kubeflow-pipelines-apiserver-fips package as distributed by Minimos. See How to fix? for Minimos:latest relevant fixed versions and status.

Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Prior to versions 3.7.14 and 4.0.5, the Webhook Interceptor loads the entire request body into memory before authenticating the request or verifying its signature. This occurs on the /api/v1/events/ endpoint, which is publicly accessible (albeit intended for webhooks). An attacker can send a request with an extremely large body (e.g., multiple gigabytes), causing the Argo Server to allocate excessive memory, potentially leading to an Out-Of-Memory (OOM) crash and denial of service. This issue has been patched in versions 3.7.14 and 4.0.5.

CVSS Base Scores

version 3.1