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Snyk
Snyk
•added 2026/09/01 5:04 p.m.•17 views

Deserialization of Untrusted Data

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 Deserialization of Untrusted Data in the loadmodel and loadpyfunc...

8.8CVSS6.3AI score0.00423EPSS
SaveExploits0References2
OSV
OSV
•added 2026/09/01 5:04 p.m.•6 views

GHSA-GQVG-GMMX-X4HM MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False safety control bypassed by mlflow.statsmodels flavor — RCE via crafted model artifact

Summary MLflow introduced MLFLOWALLOWPICKLEDESERIALIZATION as a security control to prevent unsafe pickle.load execution during model loading, in response to CVE-2024-37052 through CVE-2024-37060. When set to False, operators expect all pickle deserialization to be blocked. The most recent relate...

8.8CVSS6.3AI score
SaveExploits0References5
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