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.
CVE-2024-0520
This high-severity CVE scores 8.8 under NVD CVSS v3. EPSS exploit probability: 2.4%, top 18% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
- High severity, but no confirmed exploitation yet
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
- CVSS v3
- 8.8
- EG Score
- 8.8(medium)
- EG Risk
- —
- EPSS
- 82.1%
- KEV
- Not listed
Published
June 6, 2024
Last Modified
October 15, 2025
References (4)
- security@huntrhttps://github.com/mlflow/mlflow/commit/400c226953b4568f4361bc0a0c223511652c2b9d
- security@huntrhttps://huntr.com/bounties/93e470d7-b6f0-409b-af63-49d3e2a26dbc
- af854a3a-2127-422b-91ae-364da2661108https://github.com/mlflow/mlflow/commit/400c226953b4568f4361bc0a0c223511652c2b9d
- af854a3a-2127-422b-91ae-364da2661108https://huntr.com/bounties/93e470d7-b6f0-409b-af63-49d3e2a26dbc
Affected Packages
(1 across 1 ecosystem)
PyPI(1)
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| mlflow | 0.0.1 ... v0.2.0 (96 versions) | 2.9.0 | — |
Weakness Classification(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 12× in last 7d / 46× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
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Frequently asked(5)
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