8.8
CVE-2024-37057
- EPSS 0.38%
- Published 04.06.2024 12:15:11
- Last modified 03.02.2025 14:45:23
- Source 6f8de1f0-f67e-45a6-b68f-98777f
- Teams watchlist Login
- Open Login
Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.
Data is provided by the National Vulnerability Database (NVD)
Lfprojects ≫ Mlflow Version >= 2.0.0
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
| Type | Source | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.38% | 0.588 |
| Source | Base Score | Exploit Score | Impact Score | Vector string |
|---|---|---|---|---|
| nvd@nist.gov | 8.8 | 2.8 | 5.9 |
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
|
| 6f8de1f0-f67e-45a6-b68f-98777fdb759c | 8.8 | 2.8 | 5.9 |
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
|
CWE-502 Deserialization of Untrusted Data
The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.