CVE-2024-27132
MLflow Template Injection Vulnerability and MLflow Client-Side Remote Code Execution Vulnerability
Description
Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe. This issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over template variables.
INFO
Published Date :
Feb. 23, 2024, 10:15 p.m.
Last Modified :
Feb. 26, 2024, 1:42 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
1.6
Public PoC/Exploit Available at Github
CVE-2024-27132 has a 1 public PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
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-2024-27132.
| URL | Resource |
|---|---|
| https://github.com/mlflow/mlflow/pull/10873 | |
| https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/ |
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).
None
JavaScript Python TypeScript CSS
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2024-27132 vulnerability anywhere in the article.
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The Hacker News
Researchers Identify Over 20 Supply Chain Vulnerabilities in MLOps Platforms
Cybersecurity researchers are warning about the security risks in the machine learning (ML) software supply chain following the discovery of more than 20 vulnerabilities that could be exploited to tar ... Read more
The following table lists the changes that have been made to the
CVE-2024-27132 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.
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CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
CVE Received by [email protected]
Feb. 23, 2024
Action Type Old Value New Value Added Description Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe. This issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over template variables. Added Reference JFrog https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/ [No types assigned] Added Reference JFrog https://github.com/mlflow/mlflow/pull/10873 [No types assigned] Added CWE JFrog CWE-79 Added CVSS V3.1 JFrog AV:N/AC:H/PR:N/UI:R/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-2024-27132 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-2024-27132
weaknesses.