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.
History

Fri, 11 Oct 2024 14:00:00 +0000

Type Values Removed Values Added
First Time appeared Lfprojects
Lfprojects mlflow
Weaknesses CWE-22
CPEs cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*
Vendors & Products Lfprojects
Lfprojects mlflow
Metrics cvssV3_1

{'score': 8.8, 'vector': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H'}


cve-icon MITRE

Status: PUBLISHED

Assigner: @huntr_ai

Published: 2024-06-06T18:19:36.380Z

Updated: 2024-08-01T18:11:35.193Z

Reserved: 2024-01-14T15:26:16.946Z

Link: CVE-2024-0520

cve-icon Vulnrichment

Updated: 2024-08-01T18:11:35.193Z

cve-icon NVD

Status : Analyzed

Published: 2024-06-06T19:15:51.187

Modified: 2024-10-11T13:30:31.167

Link: CVE-2024-0520

cve-icon Redhat

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