CVE-2024-37052

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.

CVSS v3 8.8 HIGH

8.8^/10

CVSS v3 : HIGH

Vector :

Exploitability : 2.8 / Impact : 5.9

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required NONE

User Interaction REQUIRED

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://hiddenlayer.com/sai-security-advisory/mlflow-june2024	Exploit Third Party Advisory
https://hiddenlayer.com/sai-security-advisory/mlflow-june2024	Exploit Third Party Advisory

Configurations

Configuration 1 (hide)

cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*

History

03 Feb 2025, 14:35

Type	Values Removed	Values Added
First Time		Lfprojects Lfprojects mlflow
References	~~() https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 -~~	() https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 - Exploit, Third Party Advisory
CPE		cpe:2.3:a:lfprojects:mlflow::::::::

21 Nov 2024, 09:23

Type	Values Removed	Values Added
Summary		(es) La deserialización de datos que no son de confianza puede ocurrir en versiones de la plataforma MLflow que ejecutan la versión 1.1.0 o posterior, lo que permite que un modelo scikit-learn cargado maliciosamente ejecute código arbitrario en el sistema de un usuario final cuando interactúa con él.
References	~~() https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 -~~	() https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 -

04 Jun 2024, 12:15

Type	Values Removed	Values Added
New CVE

Information

Published : 2024-06-04 12:15

Updated : 2025-02-03 14:35

NVD link : CVE-2024-37052

Mitre link : CVE-2024-37052

CVE.ORG link : CVE-2024-37052

JSON object : View

Products Affected

lfprojects

mlflow

CWE

CWE-502

Deserialization of Untrusted Data

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