[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/application-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 includes a major, breaking architectural change for Jupyter Notebook and several minor stable releases for JupyterLab components.

High Risk: @jupyter-notebook/application and @jupyter-notebook/ui-components (to v7.0.0)

This is a significant and breaking upgrade. Jupyter Notebook v7 is a complete rewrite based on the JupyterLab codebase, replacing the classic Notebook interface. While it preserves the familiar document-centric experience, the underlying technology is entirely new.

Key Breaking Changes:

• Architecture: The frontend is now built with JupyterLab components and the CodeMirror 6 editor.
• Extensions & Customizations: Existing extensions, custom themes, and CSS modifications for classic Notebook (v6 and earlier) are not compatible with Notebook v7 and will break.
• New Features: The upgrade introduces many features from JupyterLab, including an interactive debugger, real-time collaboration, a table of contents, and improved accessibility.

Recommendation:
Developers must review the official migration guide and test all workflows, especially those involving custom extensions or styling. For backward compatibility, the nbclassic package can be used to run the classic Notebook v6 interface alongside the new version.

Low Risk: @jupyterlab packages (alpha to stable)

• @jupyterlab/apputils: 4.6.0-alpha.3 → 4.6.0
• @jupyterlab/console: 4.5.0-alpha.3 → 4.5.0
• @jupyterlab/mainmenu: 4.5.0-alpha.3 → 4.5.0

These upgrades move from pre-release (alpha) versions to their final stable releases. They primarily contain bug fixes, performance enhancements, and API stabilization, with no documented breaking changes for this transition.

Source: Jupyter Notebook 7 Changelog, JupyterLab Changelog

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