Missing Authorization Affecting mlflow package, versions [,3.15.0)
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-18912236
- published18 Aug 2026
- disclosed17 Aug 2026
- creditGeorge Chen
Introduced: 17 Aug 2026
NewCVE-2026-69146 (opens in a new tab)How to fix?
Upgrade mlflow to version 3.15.0 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 via the LogInputs and LogOutputs endpoints, which lack update-run authorization enforcement. An authenticated attacker can log arbitrary inputs and outputs to any run without possessing the required update-run permission, allowing unauthorized modification of run data.