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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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  1. GitHub Advisory Database
  2. GitHub Reviewed
  3. 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

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