Improper Handling of Case Sensitivity Affecting tensorflow-cpu-jupyter package, versions <2.21.0-r9


Severity

Recommended
low

Based on default assessment until relevant scores are available.

Threat Intelligence

EPSS
0.66% (50th percentile)

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  • Snyk IDSNYK-CHAINGUARDLATEST-TENSORFLOWCPUJUPYTER-18760818
  • published14 Aug 2026
  • disclosed13 Aug 2026

Introduced: 13 Aug 2026

CVE-2026-73416  (opens in a new tab)
CWE-178  (opens in a new tab)
CWE-180  (opens in a new tab)

How to fix?

Upgrade Chainguard tensorflow-cpu-jupyter to version 2.21.0-r9 or higher.

NVD Description

Note: Versions mentioned in the description apply only to the upstream tensorflow-cpu-jupyter package and not the tensorflow-cpu-jupyter package as distributed by Chainguard. See How to fix? for Chainguard relevant fixed versions and status.

jupyterlab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From 4.5.0 until 4.5.10 and 4.6.2, in jupyterlab/extensions/manager.py and jupyterlab/extensions/pypi.py, JupyterLab's PyPI extension manager enforces blocked_extensions_uris by comparing requested install names to blocklist entries with custom normalization that is weaker than PyPI package-name canonicalization. An authenticated user can request a PyPI-equivalent spelling such as JupyterLab.Git for a blocklisted package such as jupyterlab-git, and JupyterLab accepts the install request even though pip resolves the variant to the same package. Security impact requires an allowlist or blocklist intended to restrict package installation, the PyPI Extension Manager, and kernels and terminals that are disabled or delegated to remote hosts. The bypass lets an authenticated user install a prohibited extension, defeat integrity restrictions, and affect availability without gaining new read access. This issue is fixed in versions 4.5.10 and 4.6.2.