PT-2024-27267 · Unknown+1 · Scikit-Learn+1

CVE-2024-37052

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Published

2024-06-04

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Updated

2026-09-01

CVSS v3.1

8.8

High

VectorAV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Name of the Vulnerable Software and Affected Versions MLflow versions 1.1.0 and newer
Description The issue allows deserialization of untrusted data, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user's system when interacted with.
Recommendations For MLflow versions 1.1.0 and newer, at the moment, there is no information about a newer version that contains a fix for this vulnerability.

Exploit

DoS

Deserialization of Untrusted Data

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Weakness Enumeration

Related Identifiers

BIT-MLFLOW-2024-37052
CVE-2024-37052
GHSA-76CG-CFHX-373F
PYSEC-2026-1643

Affected Products

Mlflow
Scikit-Learn