9.8

CVE-2023-5245

Exploit

Using MLeap for loading a saved model (zip archive) can lead to path traversal/arbitrary file creation and possibly remote code execution.

FileUtil.extract() enumerates all zip file entries and extracts each file without validating whether file paths in the archive are outside the intended directory.

When creating an instance of TensorflowModel using the saved_model format and an exported tensorflow model, the apply() function invokes the vulnerable implementation of FileUtil.extract().

Arbitrary file creation can directly lead to code execution
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Combust ≫ Mleap Version0.18.0
Combust ≫ Mleap Version0.23.0
Zu dieser CVE wurde keine Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 1.19% 0.638
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
nvd@nist.gov 9.8 3.9 5.9
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
reefs@jfrog.com 7.5 1.6 5.9
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
CWE-22 Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.

https://github.com/combust/mleap/pull/866#issuecomment-1738032225
Patch
Issue Tracking
https://research.jfrog.com/vulnerabilities/mleap-path-traversal-rce-xray-532656/
Third Party Advisory
Exploit