Server-side Request Forgery (SSRF) Affecting mlflow package, versions [,3.10.0)
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
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-16642071
- published12 May 2026
- disclosed11 May 2026
- creditManan Patel
Introduced: 11 May 2026
CVE-2026-2393 (opens in a new tab)How to fix?
Upgrade mlflow to version 3.10.0 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) in _validate_webhook_url(), in validate.py. The _create_webhook function accepts a user-controlled url parameter without validation. An attacker can cause the backend to send HTTP requests to internal services, cloud metadata endpoints, or arbitrary external servers.