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.
Metrics
Affected Vendors & Products
References
History
Fri, 11 Oct 2024 14:00:00 +0000
Type | Values Removed | Values Added |
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First Time appeared |
Lfprojects
Lfprojects mlflow |
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Weaknesses | CWE-22 | |
CPEs | cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:* | |
Vendors & Products |
Lfprojects
Lfprojects mlflow |
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Metrics |
cvssV3_1
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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
Vulnrichment
Updated: 2024-08-01T18:11:35.193Z
NVD
Status : Modified
Published: 2024-06-06T19:15:51.187
Modified: 2024-11-21T08:46:46.930
Link: CVE-2024-0520
Redhat
No data.