PyPi: Mlflow

CVE-2024-37057

Safety vulnerability ID: 71692

This vulnerability was reviewed by experts

The information on this page was manually curated by our Cybersecurity Intelligence Team.

Created at Jun 04, 2024 Updated at Apr 03, 2025

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Advisory

Deserialization of untrusted data can occur in affected versions of the MLflow platform, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.

Affected package

mlflow

Latest version: 2.21.3

MLflow is an open source platform for the complete machine learning lifecycle

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

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Severity Details

CVSS Base Score

HIGH 8.8

CVSS v3 Details

HIGH 8.8

Attack Vector (AV): NETWORK
Attack Complexity (AC): LOW
Privileges Required (PR): NONE
User Interaction (UI): REQUIRED
Scope (S): UNCHANGED
Confidentiality Impact (C): HIGH
Integrity Impact (I): HIGH
Availability Availability (A): HIGH