جزئیات آسیب‌پذیری

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.

• https://github.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969j x_refsource_CONFIRM
• https://github.com/mlflow/mlflow/issues/24179 x_refsource_MISC
• https://github.com/mlflow/mlflow/pull/24258 x_refsource_MISC
• https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939 x_refsource_MISC
• https://github.com/mlflow/mlflow/releases/tag/v3.15.0 x_refsource_MISC
• https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026-64849 government-resource