Server-side Request Forgery (SSRF) Affecting mlflow package, versions [,3.14.0)
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-18533511
- published5 Aug 2026
- disclosed5 Aug 2026
- creditAbdivasiyev Sunnatillo
Introduced: 5 Aug 2026
NewCVE-2026-71211 (opens in a new tab)How to fix?
Upgrade mlflow to version 3.14.0 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 the raw_proxy. An attacker can access internal network resources and potentially retrieve sensitive information by supplying a crafted api_base value when creating a gateway secret and then issuing requests through the gateway proxy endpoint.
**Note:** This is only exploitable if an authenticated user is able to create a gateway secret with an internal address as the api_base`.