Remote Code Execution due to Full Controlled File Write in mlflow/mlflow
Description
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.
AI Insight
LLM-synthesized narrative grounded in this CVE's description and references.
Affected packages
Versions sourced from the GitHub Security Advisory.
| Package | Affected versions | Patched versions |
|---|---|---|
mlflowPyPI | < 2.9.0 | 2.9.0 |
Affected products
3- osv-coords2 versions
< 2.9.1+ 1 more
- (no CPE)range: < 2.9.1
- (no CPE)range: < 2.9.0
Patches
Vulnerability mechanics
References
5- github.com/advisories/GHSA-5q6c-ffvg-xcm9ghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2024-0520ghsaADVISORY
- github.com/mlflow/mlflow/commit/400c226953b4568f4361bc0a0c223511652c2b9dghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-239.yamlghsaWEB
- huntr.com/bounties/93e470d7-b6f0-409b-af63-49d3e2a26dbcghsaWEB
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