[Snyk] Fix for 1 vulnerabilities

[anaconda-security-bot]

Snyk has created this PR to fix 1 vulnerabilities in the yarn dependencies of this project.

Snyk changed the following file(s):

• packages/terminal-extension/package.json

Note for zero-installs users

If you are using the Yarn feature zero-installs that was introduced in Yarn V2, note that this PR does not update the .yarn/cache/ directory meaning this code cannot be pulled and immediately developed on as one would expect for a zero-install project - you will need to run yarn to update the contents of the ./yarn/cache directory.
If you are not using zero-install you can ignore this as your flow should likely be unchanged.

⚠️ Warning

Failed to update the yarn.lock, please update manually before merging.

Vulnerabilities that will be fixed with an upgrade:

	Issue	Score
	Directory Traversal SNYK-JS-POSTCSS-18512282	738

Breaking Change Risk

Notice: This assessment is enhanced by AI.

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Important

• Check the changes in this PR to ensure they won't cause issues with your project.
• Max score is 1000. Note that the real score may have changed since the PR was raised.
• This PR was automatically created by Snyk using the credentials of a real user.

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🦉 Directory Traversal

[anaconda-security-bot]

This upgrade involves a major architectural shift for Jupyter Notebook and a minor stabilization for the JupyterLab terminal.

@jupyter-notebook/application@0.0.0-use.local → 7.0.0

Risk: HIGH

This is a significant migration from a local, non-standard version to Jupyter Notebook 7. Notebook 7 is a complete rewrite based on the JupyterLab frontend and Jupyter Server backend. While it aims to preserve the classic document-centric user experience, the underlying technology is entirely different.

Key Breaking Changes:

• New Architecture: The application is now built with JupyterLab components, inheriting many of its features like a debugger, real-time collaboration, and theming.
• Extension Incompatibility: Classic Notebook (v6) extensions are not compatible with Notebook 7. You must find and migrate to equivalent JupyterLab extensions.
• Underlying Dependencies: The update is based on JupyterLab 4.0, which includes major upgrades to core components like the text editor (CodeMirror 6).

Recommendation:
Treat this as a new application adoption. All existing customizations, extensions, and workflows built around the previous version must be re-evaluated and migrated to the new JupyterLab-based extension ecosystem.

@jupyterlab/terminal@4.5.0-alpha.3 → 4.5.0

Risk: LOW

This is a minor update from a pre-release (alpha) to a final version. Such upgrades typically consist of bug fixes and stabilization with no breaking API changes. The JupyterLab 4.5.0 release notes indicate new features like search functionality in the terminal but do not mention breaking changes for this package.

Notice 🤖: This content was augmented using artificial intelligence. AI-generated content may contain errors and should be reviewed for accuracy before use.