Server-side Request Forgery (SSRF) Affecting mlflow package, versions [,3.0.0)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Start learning- Snyk IDSNYK-PYTHON-MLFLOW-10494137
- published24 Jun 2025
- disclosed23 Jun 2025
- creditJinho Seo
Introduced: 23 Jun 2025
NewCVE-2025-52967 (opens in a new tab)How to fix?
Upgrade mlflow to version 3.0.0 or higher.
Overview
mlflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models.
Affected versions of this package are vulnerable to Server-side Request Forgery (SSRF) via insufficient validation of the gateway_path parameter in the gateway_proxy_handler process. An attacker can interact with unintended internal resources by supplying crafted input to bypass access controls.