Summary
Ein Angreifer kann mehrere Schwachstellen in MLflow ausnutzen, um beliebigen Programmcode auszuführen.
Product
MLflow ist eine Open-Source-Plattform zur Verwaltung des gesamten Machine-Learning-Lebenszyklus, einschließlich Experimenten, Reproduzierbarkeit und Bereitstellung.
Vulnerabilities 2
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High 8.8
MLflow dspy bypasses pickle deserialization control
MLflow's dspy flavor, versions >= 2.0, applies the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control only when the model_path ends in .pkl, which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact.
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High 8.8
CVE-2026-96804
MLflow's statsmodel flavor, versions 2.1.0 to 3.14.0, omits the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control entirely in _load_model(), which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact.
Revision history
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#1
Initiale Fassung
References
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GitHub Advisory Database vom 2026-09-23
https://github.com/advisories/GHSA-Q5F3-5GJ6-HMJ7
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GitHub Advisory Database vom 2026-09-23
https://github.com/advisories/GHSA-2QMW-5XHM-QQ5W