Missing Authorization 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-16874027
- published25 May 2026
- disclosed25 May 2026
- creditsinon2003
Introduced: 25 May 2026
NewCVE-2026-2651 (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 Missing Authorization in the /mlflow-artifacts/mpu/* endpoints in --serve-artifacts mode. An attacker can gain unauthorized access to and overwrite artifacts belonging to other users by manipulating artifact_path and path(filename) arguments. This may result in cross-user data modification, model supply chain compromise, and arbitrary code execution when affected models are loaded.