CVE-2026-64849 | BDVDB-2026-360571 Detail
mlflowmlflow
Description#
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Starting in 3.3.0 and 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.
Impact#
Per CVSS v3.1: confidentiality impact high, integrity impact low, availability impact none. Attack vector: network.
Weaknesses#
- CWE-918 Server-Side Request Forgery (SSRF)
References#
- https://github.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969j
- https://github.com/mlflow/mlflow/issues/24179
- https://github.com/mlflow/mlflow/pull/24258
- https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939
- https://github.com/mlflow/mlflow/releases/tag/v3.15.0
- https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026-64849
Exploit#
No public exploit known
History#
- Version 1Record published in the CVE List.
- Version 2Most recent update recorded in the CVE List.