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Update examples dependencies [SECURITY]#597

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Update examples dependencies [SECURITY]#597
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renovate/pypi-jupyterlab-vulnerability

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@renovate renovate Bot commented Apr 30, 2026

This PR contains the following updates:

Package Change Age Confidence
jupyterlab (changelog) ==4.5.6==4.5.7 age confidence

Jupyter Notebook Vulnerable to Authentication Token Theft via CommandLinker XSS

CVE-2026-40171 / GHSA-rch3-82jr-f9w9

More information

Details

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:

{
  "@​jupyterlab/apputils-extension:sanitizer": {
    "allowCommandLinker": false
  }
}
Resources
Acknowledgments

Reported by Daniel Teixeira - NVIDIA AI Red Team

Severity

  • CVSS Score: 8.4 / 10 (High)
  • Vector String: CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).


JupyterLab has an Extension Manager API/GUI Policy Discrepancy, allowing 3rd party (malicious) extensions install via POST request

CVE-2026-42266 / GHSA-37w4-hwhx-4rc4

More information

Details

The allow-list of extensions that can be installed from PyPI Extension Manager (allowed_extensions_uris) is not correctly enforced by JupyterLab prior to 4.5.7. The PyPI Extension Manager was not contained to packages listed on the default PyPI index.

This has security implications for deployments that:

  • have allow-listed specific extensions with aim to prevent users from installing packages
  • have the kernel and terminals disabled or delegated to remote hosts (thus no access to install packages in the single-user server environment)
  • have multi-tenant deployments that is not configured for untrusted users (as per documented on JupyterHub https://jupyterhub.readthedocs.io/en/5.2.1/explanation/websecurity.html)
  • have the (default) PyPI Extension Manager enabled
Impact

An authenticated attacker - such as a student in a shared JupyterHub environment or a user in a multi-tenant JupyterLab deployment - can escalate their privileges. This might allow for data exfiltration, lateral movement within the network, and persistent compromise of the server infrastructure.

Patches

JupyterLab v4.5.7 contains the patch.

Users of applications that depend on JupyterLab, such as Notebook v7+, should update jupyterlab package too.

Workarounds

Switch to read-only extension manager by adding the following command line option:

--LabApp.extension_manager=readonly

or the following traitlet:

c.LabApp.extension_manager = 'readonly'

You can confirm that the read-only manager is in use from GUI:

image

Note: configuration of a PyPI proxy with allow-listed packages is not sufficient to protect from this vulnerability.

References

Severity

  • CVSS Score: 8.8 / 10 (High)
  • Vector String: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).


JupyterLab's command linker attributes in HTML enable one-click command execution from untrusted content

CVE-2026-42557 / GHSA-mqcg-5x36-vfcg

More information

Details

JupyterLab's HTML sanitizer allowlists data-commandlinker-command and data-commandlinker-args on button elements, while CommandLinker listens for all click events on document.body and executes the named command without checking whether the element came from trusted JupyterLab UI. A notebook with a pre-saved HTML cell output containing a deceptive button can trigger arbitrary JupyterLab commands - including arbitrary code execution - on a single user click, without any code being submitted for execution by the user.

Impact

An attacker who shares a notebook or a Markdown file - via email, GitHub, or a Binder link - can invoke an arbitrary command upon a single click by the victim. The button can be rendered inside the output area and be visually indistinguishable from a legitimate widget. No kernel needs to start; the HTML output is stored in the notebook file and displayed immediately on open.

Single-click impact

An attacker convincing the victim to click on a single button or link can:

  • execute arbitrary code in the available kernels,
  • delete files leading to information loss; in principle the loss could be unrecoverable, depending on server configuration and attack complexity,
  • open multiple kernels/terminals at once, or create multiple files at once, putting significant stress on the server and thus deny availability for other users when using standalone multi-tenant jupyter-server deployment, and to a lesser degree impact availability on JupyterHub deployments.

The arbitrary code execution will be immediately visible to the user; and can be halted by the timely user intervention. The deletion of files can be silent and go unnoticed for some time.

Multi-click attacks

An attacker who convinces the victim to click on multiple buttons in specific order and to grant access to clipboard (or in scenarios where the user already granted keyboard access) can obtain full access to the terminal and execute arbitrary commands in the environment with access scope that might exceed that of available kernels. Only users of Chromium-based browsers are susceptible to this expanded variant of the attack.

The execution of commands in the terminal would be immediately visible to the user.

Impact of third-party extensions

The impact described above assumes a plain JupyterLab/Notebook installation. In environments with frontend extensions that contribute additional commands the attack surface is increased by the functionality covered by these commands.

Patches

JupyterLab 4.5.7

Workarounds

No workarounds are available for end-users.

Downstream applications inheriting from JupyterFrontEnd or JupyterLab can effectively disable the CommandLinker by passing commandLinker: new CommandLinker({ commands: new CommandRegistry() }) option in the initialization options.

Hardening

The patched versions include a toggle to disable the command linker functionality altogether, for example via overrides.json:

{
  "@​jupyterlab/apputils-extension:sanitizer": {
    "allowCommandLinker": false
  }
}
Resources

Severity

  • CVSS Score: 8.6 / 10 (High)
  • Vector String: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

References

This data is provided by the GitHub Advisory Database (CC-BY 4.0).


Release Notes

jupyterlab/jupyterlab (jupyterlab)

v4.5.7

Compare Source

4.5.7

(Full Changelog)

Security patches
Bugs fixed
Maintenance and upkeep improvements
Documentation improvements
Contributors to this release

The following people contributed discussions, new ideas, code and documentation contributions, and review.
See our definition of contributors.

(GitHub contributors page for this release)

@​Carreau (activity) | @​filipeoliveira05 (activity) | @​flaviomartins (activity) | @​itsmejay80 (activity) | @​jtpio (activity) | @​krassowski (activity) | @​martinRenou (activity) | @​MUFFANUJ (activity) | @​utsav-develops (activity)


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