First published: Thu Jun 06 2024(Updated: )
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.
Credit: security@huntr.dev security@huntr.dev
Affected Software | Affected Version | How to fix |
---|---|---|
pip/mlflow | <2.9.0 | 2.9.0 |
MLflow | <2.9.0 |
Sign up to SecAlerts for real-time vulnerability data matched to your software, aggregated from hundreds of sources.
CVE-2024-0520 has been classified with a high severity level due to its potential for remote code execution.
To mitigate CVE-2024-0520, upgrade to mlflow version 2.9.0 or later.
CVE-2024-0520 affects mlflow versions prior to 2.9.0.
CVE-2024-0520 is a command injection vulnerability allowing for remote code execution.
CVE-2024-0520 occurs in the mlflow.data.http_dataset_source.py module.