Time-of-check Time-of-use (TOCTOU) Race Condition Affecting mlflow package, versions [,2.16.0)
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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Test your applications- Snyk IDSNYK-PYTHON-MLFLOW-8400874
- published26 Nov 2024
- disclosed25 Nov 2024
- creditUnknown
Introduced: 25 Nov 2024
NewCVE-2024-27134 (opens in a new tab)How to fix?
Upgrade mlflow to version 2.16.0 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 Time-of-check Time-of-use (TOCTOU) Race Condition due to excessive directory permissions when the spark_udf() MLflow API is called. An attacker can gain elevated permissions by exploiting this vulnerability.