CVE-2024-28188: Jupyter Scheduler Vulnerability - Protect Your User's Conda Environments

An important security vulnerability (CVE-2024-28188) has been discovered in Jupyter Scheduler, a collection of extensions that allow users to schedule programming jobs to run now or at specified times. This vulnerability potentially exposes the list of conda environments to unauthorized users, inadvertently revealing sensitive information about the projects being worked on. It is strongly recommended for all Jupyter Scheduler users to update their software immediately to version(s) 1.1.6, 1.2.1, 1.8.2, or 2.5.2, where this vulnerability has been patched.

Code Snippet and Exploit Details

The vulnerability in Jupyter Scheduler was found within the code responsible for fetching the conda environment details. A malicious user could exploit this by fetching environment specifics through the exposed API.

An example of such an exploit in Python might look like this

import requests

url = "http://jupyter_scheduler_instance_url/api/conda/environments";

response = requests.get(url)

print(response.json())

This code snippet sends a request to the Jupyter Scheduler instance's API to retrieve the list of conda environments. If successful, the response will contain environment details that should be private to individual users, potentially revealing sensitive project information.

Original References & Patch Information

The vulnerability was first reported by security researchers and was later confirmed by the Jupyter development team. You can find the original advisory, along with additional information about the vulnerability, at the following links:

- Official CVE Details
- NVD
- GitHub Issue

To patch the vulnerability, it is strongly advised to upgrade your Jupyter Scheduler installation to one of the patched versions (1.1.6, 1.2.1, 1.8.2, or 2.5.2). You can do so using the following command:

pip install --upgrade jupyter-scheduler==<PATCHED_VERSION>

Replace <PATCHED_VERSION> with the version number you wish to install.

Conclusion

This vulnerability highlights the importance of staying up-to-date with software patches to protect sensitive data. Thank you for reading this long read post and taking the time to understand the CVE-2024-28188 Jupyter Scheduler vulnerability. By updating to the patched version(s) and following proper security practices, we can maintain a safer and more secure development environment.

Timeline

Published on: 05/23/2024 12:15:10 UTC
Last modified on: 06/04/2024 18:03:51 UTC