CVE-2024-37053

Published Jun 4, 2024 CVSS 3.1 · 8.8 High EPSS < 1% KEV · Not listed
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.

Analysis

No analysis available yet

Remediation

No remediation available yet

Tracking

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Advisories

Source ID Title
EUVD EUVD EUVD-2024-1907 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.
Github GHSA Github GHSA GHSA-43c4-9qgj-x742 MLFlow unsafe deserialization
History
Type Values Removed Values Added
Metrics epss

{'score': 0.00216}

epss

{'score': 0.00383}

Type Values Removed Values Added
First Time appeared Lfprojects
Lfprojects mlflow
CPEs cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*
Vendors & Products Lfprojects
Lfprojects mlflow
Weaknesses
  • CWE-502

    Deserialization of Untrusted Data

Sources

Status
PUBLISHED
Assigner
HiddenLayer
Published
Updated
Aug 2, 2024, 3:43 AM
Reserved
May 31, 2024, 2:16 PM
Status
Analyzed
Published
Jun 4, 2024, 12:15 PM
Modified
Jun 17, 2026, 7:37 AM