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 learningUpgrade mlflow
to version 2.9.0 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 Remote Code Execution (RCE) due to improper neutralization of special elements within the mlflow.data.http_dataset_source.py
module. An attacker can execute arbitrary code by manipulating the filename in the Content-Disposition
header or the URL path to include malicious input.