CVE-2023-5245
TensorflowModel SaveModel File Path Validation Bypass
Description
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
INFO
Published Date :
Nov. 15, 2023, 1:15 p.m.
Last Modified :
Nov. 22, 2023, 10:39 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
3.9
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2023-5245.
| URL | Resource |
|---|---|
| https://github.com/combust/mleap/pull/866#issuecomment-1738032225 | Issue Tracking Patch |
| https://research.jfrog.com/vulnerabilities/mleap-path-traversal-rce-xray-532656/ | Exploit Third Party Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2023-5245 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2023-5245 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Nov. 22, 2023
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Changed Reference Type https://github.com/combust/mleap/pull/866#issuecomment-1738032225 No Types Assigned https://github.com/combust/mleap/pull/866#issuecomment-1738032225 Issue Tracking, Patch Changed Reference Type https://research.jfrog.com/vulnerabilities/mleap-path-traversal-rce-xray-532656/ No Types Assigned https://research.jfrog.com/vulnerabilities/mleap-path-traversal-rce-xray-532656/ Exploit, Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:combust:mleap:0.18.0:*:*:*:*:*:*:* *cpe:2.3:a:combust:mleap:0.23.0:*:*:*:*:*:*:* -
CVE Received by [email protected]
Nov. 15, 2023
Action Type Old Value New Value Added Description 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 Added Reference JFrog https://github.com/combust/mleap/pull/866#issuecomment-1738032225 [No types assigned] Added Reference JFrog https://research.jfrog.com/vulnerabilities/mleap-path-traversal-rce-xray-532656/ [No types assigned] Added CWE JFrog CWE-22 Added CVSS V3.1 JFrog AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2023-5245 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2023-5245
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.40 }} 0.35%
score
0.70546
percentile