Server-Side Request Forgery (SSRF) Affecting mlflow package, versions <3.16.0-r0


Severity

Recommended
low

Based on default assessment until relevant scores are available.

Threat Intelligence

Exploit Maturity
Attacked
EPSS
9.84% (96th percentile)

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  • Snyk IDSNYK-WOLFILATEST-MLFLOW-19827992
  • published15 Sept 2026
  • disclosed17 Aug 2026

Introduced: 17 Aug 2026

CVE-2026-64849  (opens in a new tab)
CWE-918  (opens in a new tab)

How to fix?

Upgrade Wolfi mlflow to version 3.16.0-r0 or higher.

NVD Description

Note: Versions mentioned in the description apply only to the upstream mlflow package and not the mlflow package as distributed by Wolfi. See How to fix? for Wolfi relevant fixed versions and status.

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.