A AegiFlow
HIGHCVSS 7.5EPSS 0.5%

CVE-2026-118761

CVE-2026-118761 updated by NVD

Published
2026-10-30
Modified
2026-11-01
EPSS percentile
42%
Sources
github-advisory, nvd

Summary

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. A small ZIP or gzip-compressed tar archive can consume disproportionately large memory and exhaust API-server resources. Multipart pipeline and pipeline-version upload processing performs decompression before namespace authorization, so a reachable caller does not need a successful pipeline-create authorization decision. URL-import handlers authorize before fetching and decompressing a remote archive. The amount of expansion required to interrupt service depends on deployment resource limits and concurrent activity, and no specific archive is guaranteed to crash every deployment. This issue is fixed in version 2.18.0.

Affected packages

EcosystemPackageAffected versionsFixed versions
Gogithub.com/kubeflow/pipelines—0.0.0-20260831164314-ba9ae72cc860

Remediation: Upgrade to 0.0.0-20260831164314-ba9ae72cc860 or later.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.

Includes data from the National Vulnerability Database (NIST). NVD data is in the public domain; this page is not endorsed by NIST.

CVE® is a registered trademark of The MITRE Corporation. CVE content reproduced under the CVE Terms of Use; copyright designation © MITRE.

EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.