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
- 56(Track)EG Risk 56/100SSVC: Track
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity88% × 45%Exploitation40% × 40%Automatability0% × 15%Action: Routine — remediate on your standard cadence. - EPSS PROB
- 2%
- EPSS %ILE
- 83%
- KEV
- Not listed
Published
June 6, 2024
Last Modified
October 15, 2025
Advisory Details (2)
Auto-updated Aug 30, 2026huntr - The world's first bug bounty platform for AI/ML
https://huntr.com/bounties/93e470d7-b6f0-409b-af63-49d3e2a26dbccommit 400c226953b4 (mlflow/mlflow)
Fix landed in mlflow/mlflow commit 400c226953b4 — awaiting tagged release
https://github.com/mlflow/mlflow/commit/400c226953b4568f4361bc0a0c223511652c2b9dAffected 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 7× in last 7d / 29× 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.
Showing the most recent 100 of 154 total refreshes for this CVE.
- 2026-09-18 19:26 UTCEPSS rescore
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Frequently asked(5)
What is CVE-2024-0520?
When was CVE-2024-0520 disclosed?
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What is the CVSS score of CVE-2024-0520?
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Dependency Blast Radius
See which npm, PyPI, Go, and Maven packages are affected by CVE-2024-0520
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