MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False safety control bypassed by mlflow.statsmodels flavor — RCE via crafted mode...

Date Sep 1, 2026
Type Vendor advisory
Signal High-risk advisory
Vendor / Product PyPI · mlflow
High-risk advisory

Summary

MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False safety control bypassed by mlflow.statsmodels flavor — RCE via crafted model artifact

Why it matters

GitHub has published a reviewed security advisory for mlflow. Prioritize it with other application dependency updates.

Operator check

Check whether mlflow is present in application dependency manifests, lockfiles, or build images. Review the GitHub advisory and upgrade to a patched version where available.

Sources

PatchBrief uses public sources. It does not scan environments, verify exposure, or replace vendor guidance.