CVE-2024-0520
highPriorität · beachten · 46EPSS 0.024 · 84. PerzentilExploit · PoCEUUSEPSS · bewertet 2026-10-27
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.
cvss
Technischer Schweregrad, 0–10. Eine Zeile je Quelle.
Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen⚠ Quellen uneinig · high–critical · 8.3–10
SSVC
Eine Handlungsentscheidung — aus Ausnutzung und Auswirkung.
schwächen
Die CWE-Schwächeklassen, zu denen dies gehört.
Exploits (1)
Öffentlicher Proof-of-Concept- und Exploit-Code.
- chan-068/CVE-2024-0520_trychan-068/CVE-2024-0520_tryPoC · poc_in_github
betroffene Produkte (4)
Betroffene Produkte und Versionsbereiche.
Advisories (3)
Hersteller- und Ökosystem-Meldungen dazu.
- GHSA-5q6c-ffvg-xcm9Remote code execution in mlflow2024-06-06ghsa · osvUS
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.
- BIT-mlflow-2024-0520Remote Code Execution due to Full Controlled File Write in mlflow/mlflow2024-10-13vendor · osvUS
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.
- PYSEC-2024-2392024-06-06vendor · osvUS
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.
auch bekannt als (7)
Weitere Namen und Kennungen dieser Entität.
quellen
Welche Quellen diesen Datensatz belegen und wann.
Referenzen (8)
Externe Belege — Patches, Meldungen, Analysen.
- https://cxsecurity.com/cveshow/CVE-2024-0520/cnnvd
- https://github.com/mlflow/mlflow/commit/400c226953b4568f4361bc0a0c223511652c2b9dcnnvd
- https://github.com/mlflow/mlflow/releases/tag/v2.13.2Patchcnnvd
- https://huntr.com/bounties/93e470d7-b6f0-409b-af63-49d3e2a26dbccnnvd
- https://github.com/mlflow/mlflow/commit/400c226953b4568f4361bc0a0c223511652c2b9denisa_euvd
- https://huntr.com/bounties/93e470d7-b6f0-409b-af63-49d3e2a26dbcenisa_euvd
- https://github.com/mlflow/mlflow/commit/400c226953b4568f4361bc0a0c223511652c2b9dPatchnvd
- https://huntr.com/bounties/93e470d7-b6f0-409b-af63-49d3e2a26dbcExploitIssue TrackingPatchThird Party Advisorynvd
Angreifer nutzen Schwachstellen wie diese gegen im Internet exponierte Dienste aus. Sehen Sie mit einem kostenlosen Passiv-Scan, was exponiert ist.
Kostenloser Scan