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.
Published: 2024-06-04
Score: 8.8 High
EPSS: < 1% Very Low
KEV: No
Impact: n/a
Action: n/a
AI Analysis

Analysis and contextual insights are available on OpenCVE Cloud.

Remediation

No vendor fix or workaround currently provided.

Additional remediation guidance may be available on OpenCVE Cloud.

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

Sun, 13 Jul 2025 13:45:00 +0000

Type Values Removed Values Added
Metrics epss

{'score': 0.00216}

epss

{'score': 0.00383}


Mon, 03 Feb 2025 15:15:00 +0000

Type Values Removed Values Added
First Time appeared Lfprojects
Lfprojects mlflow
CPEs cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*
Vendors & Products Lfprojects
Lfprojects mlflow

Subscriptions

Lfprojects Mlflow
cve-icon MITRE

Status: PUBLISHED

Assigner: HiddenLayer

Published:

Updated: 2024-08-02T03:43:50.998Z

Reserved: 2024-05-31T14:16:48.807Z

Link: CVE-2024-37053

cve-icon Vulnrichment

Updated: 2024-08-02T03:43:50.998Z

cve-icon NVD

Status : Analyzed

Published: 2024-06-04T12:15:10.957

Modified: 2025-02-03T14:35:07.880

Link: CVE-2024-37053

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

No data.

Weaknesses