Headline
GHSA-v9g2-g7j4-4jxc: jupyter-scheduler's endpoint is missing authentication
Impact
jupyter_scheduler
is missing an authentication check in Jupyter Server on an API endpoint (GET /scheduler/runtime_environments
) which lists the names of the Conda environments on the server. In affected versions, jupyter_scheduler
allows an unauthenticated user to obtain the list of Conda environment names on the server. This reveals any information that may be present in a Conda environment name.
This issue does not allow an unauthenticated third party to read, modify, or enter the Conda environments present on the server where jupyter_scheduler
is running. This issue only reveals the list of Conda environment names.
Impacted versions: >=1.0.0,<=1.1.5 ; ==1.2.0 ; >=1.3.0,<=1.8.1 ; >=2.0.0,<=2.5.1
Patches
jupyter-scheduler==1.1.6
jupyter-scheduler==1.2.1
jupyter-scheduler==1.8.2
jupyter-scheduler==2.5.2
Workarounds
Server operators who are unable to upgrade can disable the jupyter-scheduler
extension with:
jupyter server extension disable jupyter-scheduler
References
If you have any questions or comments about this advisory we ask that you contact AWS/Amazon Security via our vulnerability reporting page [1] or directly via email to [email protected]. Please do not create a public GitHub issue.
[1] Vulnerability reporting page: https://aws.amazon.com/security/vulnerability-reporting
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- GitHub Advisory Database
- GitHub Reviewed
- CVE-2024-28188
jupyter-scheduler’s endpoint is missing authentication
Package
pip jupyter-scheduler (pip)
Affected versions
>= 1.0.0, < 1.1.6
= 1.2.0
>= 1.3.0, < 1.8.2
>= 2.0.0, < 2.5.2
Patched versions
1.1.6
1.2.1
1.8.2
2.5.2
Description
Published to the GitHub Advisory Database
May 23, 2024
Last updated
May 23, 2024