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9.8
CRITICAL CVSS 3.1
CVE-2023-5245
Using MLeap for loading a saved model (zip archive) can lead to path traversal/arbitrary file creation and possibly remote code execution.
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. 21, 2024, 8:41 a.m.

Remotely Exploit :

Yes !

Source :

[email protected]
Affected Products

The following products are affected by CVE-2023-5245 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

ID Vendor Product Action
1 Combust mleap
: Total Affected Vendor : 1 | Products : 1
CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.1 HIGH [email protected]
CVSS 3.1 CRITICAL [email protected]
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
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
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.

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 Hacker News
Researchers Uncover Flaws in Popular Open-Source Machine Learning Frameworks

Artificial Intelligence / Vulnerability Cybersecurity researchers have disclosed multiple security flaws impacting open-source machine learning (ML) tools and frameworks such as MLflow, H2O, PyTorch, ... Read more

Published Date: Dec 06, 2024 (10 months, 4 weeks ago)

Results are limited to the first 20 news articles due to potential performance issues.

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 af854a3a-2127-422b-91ae-364da2661108

    Nov. 21, 2024

    Action Type Old Value New Value
    Added Reference https://github.com/combust/mleap/pull/866#issuecomment-1738032225
    Added Reference https://research.jfrog.com/vulnerabilities/mleap-path-traversal-rce-xray-532656/
  • 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
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.
Vulnerability Scoring Details
Base CVSS Score: 9.8
Attack Vector
Attack Complexity
Privileges Required
User Interaction
Scope
Confidentiality Impact
Integrity Impact
Availability Impact
Exploit Prediction

EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.

0.33 }} -0.01%

score

0.55334

percentile