Missing Authorization Affecting mlflow package, versions [,3.13.0rc0)
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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- published2 Jul 2026
- disclosed2 Jul 2026
- creditayushparkara
Introduced: 2 Jul 2026
CVE-2026-8147 (opens in a new tab)How to fix?
Upgrade mlflow to version 3.13.0rc0 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 _before_request handler in the trace API endpoints. An authenticated attacker can bypass access controls by sending trace read, search, delete, update, linking, or assessment requests for experiments they do not have permission to access. This lets the attacker read sensitive trace data, delete audit history, and modify traces or related assessments, breaking trace access isolation for users running MLflow with authentication enabled.
Notes
- Affected deployments are specifically those with MLflow authentication enabled; without that auth layer, the experiment-level authorization checks this bug bypasses are not applied.
- The gap covers both the stable and v3 trace routes, including parameterized trace subpaths such as trace tags, info, and assessment operations, not just the top-level list/read/delete endpoints.