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CVE-2024-37052

nvd nist
Published: Jun 4, 2024Modified: Jun 17, 2026

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8.8
Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Exploitability: 2.8 / Impact: 5.9
Source: NVD

Description

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 (1)

Products: Lfprojects: Mlflow
Lfprojects
1 product
Mlflow
Configuration A
1 vulnerable
Vulnerable SoftwareAffected Versions
Mlflow
From 1.1.0

Related CWEs

CWE-502
Deserialization of Untrusted Data
The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid.

References (2)

Source: 6f8de1f0-f67e-45a6-b68f-98777fdb759c
ExploitThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
ExploitThird Party Advisory

Timeline

No history available yet.