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AI agent vulnerability · MLflow

CVE-2024-0520: Remote code execution in mlflow

criticalCVSS 3.0 10.0GHSA-5q6c-ffvg-xcm9

A vulnerability in mlflow/mlflow version 8.2.1 allows for remote code execution due to improper neutralization of special elements used in an OS command ('Command Injection') within the mlflow.data.httpdatasetsource.py module.

Published Jun 6, 2024 · Updated Apr 8, 2025

Affected packages

mlflow

Ecosystem
PyPI
Affected
< 2.9.0
Fixed in
2.9.0
Check
pip show mlflow

Advisory details

From the GitHub Advisory Database (CC BY 4.0).

A vulnerability in mlflow/mlflow version 8.2.1 allows for remote code execution due to improper neutralization of special elements used in an OS command ('Command Injection') within the mlflow.data.http_dataset_source.py module. Specifically, when loading a dataset from a source URL with an HTTP scheme, the filename extracted from the Content-Disposition header or the URL path is used to generate the final file path without proper sanitization. This flaw enables an attacker to control the file path fully by utilizing path traversal or absolute path techniques, such as '../../tmp/poc.txt' or '/tmp/poc.txt', leading to arbitrary file write. Exploiting this vulnerability could allow a malicious user to execute commands on the vulnerable machine, potentially gaining access to data and model information. The issue is fixed in version 2.9.0.

References

How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology

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