CRITICAL
CVE-2026-64849
CVSS
9.3
KEV
Description
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.
Weakness (CWE)
CWE-918
Server-Side Request Forgery (SSRF)
EPSS Score
16.41%
Probability of exploitation in next 30 days
96.8th percentile
References
https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939
Patch
https://github.com/mlflow/mlflow/issues/24179
Exploit, Issue Tracking, Mitigation
https://github.com/mlflow/mlflow/pull/24258
Issue Tracking, Patch
https://github.com/mlflow/mlflow/releases/tag/v3.15.0
Release Notes
https://github.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969j
Exploit, Vendor Advisory
https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026-64849
US Government Resource
Base CVE data derived from NVD (public domain). Enrichment by
dbcve.org
(CC-BY-4.0). Fetched via API.