Threats affecting pkg:pypi/notebook

A vulnerability in JupyterLab versions 4.5.7 through 4.6.3 and related applications allows a user to mistakenly trust a different document than the one they clicked a command button in. This occurs because the trust prompt marks whichever document is current when the user responds, not necessarily the document containing the clicked button. Trusted documents run commands without further prompts, potentially allowing untrusted documents to execute commands without explicit user confirmation. The issue affects Markdown files and notebooks and can persist across sessions for notebooks due to saving the trusted state to disk. Patches are available in JupyterLab versions 4.6.4 and 4.5.11 and related dependent applications. Workarounds include disabling command linker or choosing "Run Once" instead of "Trust".

### Impact A stored Cross-Site Scripting (XSS) vulnerability in Jupyter Notebook allows attackers to steal authentication tokens from users who open malicious notebook files and interact with elements that the attacker can make look indistinguishable from legitimate controls (single click interaction). The vulnerability enables complete account takeover through the Jupyter REST API, allowing the attacker to: 1. Read all files 2. Modify/create files 3. Access running kernels and execute arbitrary code 4. Create terminals for shell access ### Patches Jupyter Notebook 7.5.6 and JupyterLab 4.5.7 include patches for this vulnerability. ### Workarounds The help extension can be disabled via CLI: ``` jupyter labextension disable @jupyter-notebook/help-extension jupyter labextension disable @jupyterlab/help-extension ``` ### Hardening The patched versions include a toggle to disable the command linker functionality altogether, for example via `overrides.json`: ```json { "@jupyterlab/apputils-extension:sanitizer": { "allowCommandLinker": false } } ``` ### Resources - https://jupyterlab.readthedocs.io/en/latest/user/commands.html#commands-in-markdown-output-and-files ### Acknowledgments Reported by Daniel Teixeira - NVIDIA AI Red Team