A AegiFlow
CRITICALCVSS 9.3EPSS 0.3%KNOWN EXPLOITED

CVE-2026-64849

CVE-2026-64849 updated by NVD

Published
2026-08-17
Modified
2026-09-21
EPSS percentile
28%
Sources
cisa-kev, github-advisory, nvd

Summary

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to 3.15.0, the unauthenticated POST /api/2.0/mlflow/webhooks/{id}/test endpoint calls _validate_webhook_url() in mlflow/utils/validation.py only for the original URL while mlflow/webhooks/delivery.py follows redirects and re-resolves the hostname without pinning the validated address, allowing attackers to reach internal or cloud metadata services and receive response_status and response_body. This issue is fixed in version 3.15.0.

Affected packages

EcosystemPackageAffected versionsFixed versions
PyPImlflow3.15.0

Remediation: Upgrade to 3.15.0 or later.

References

Includes data from the CISA Known Exploited Vulnerabilities catalog.

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.