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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Test your applicationsUpgrade mlflow
to version 2.11.2, 2.12.1 or higher.
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 Path Traversal during the handling of artifact URLs. An attacker can read arbitrary files, including sensitive information such as SSH and cloud keys, by constructing a URL that uses the fragment portion to bypass validation and access the filesystem path.
Note:
This vulnerability is a bypass for CVE-2023-6909