Advisoriesby IbisMLflowGHSA-76cg-cfhx-373f
MLFlow unsafe deserialization
No fix yet
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.
Affected versions
| Package | Affected | Fixed in |
|---|---|---|
| mlflow PyPI | >= 1.1.0, <= 2.14.1 | No fix yet |
Details and references
- CVSS 3.1
- CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
- Severity from
- GitHub (reviewed advisory)
- Weakness
- CWE-502
- Also known as
- BIT-mlflow-2024-37052, CVE-2024-37052, PYSEC-2026-1643
More MLflow advisories
All MLflow
MLFlow unsafe deserializationCVE-2024-37060no fix yetMLFlow unsafe deserializationCVE-2024-37058no fix yetMLFlow unsafe deserializationCVE-2024-37057no fix yetMLFlow improper input validationCVE-2024-37061no fix yetMLFlow unsafe deserializationCVE-2024-37059no fix yetMLFlow unsafe deserializationCVE-2024-37053no fix yet