HTML injection in Jupyter Notebook and JupyterLab leading to DOM Clobbering
Impact
The vulnerability depends on user interaction by opening a malicious notebook with Markdown cells, or Markdown file using JupyterLab preview feature.
A malicious user can access any data that the attacked user has access to as well as perform arbitrary requests acting as the attacked user.
Patches
JupyterLab v3.6.8, v4.2.5 and Jupyter Notebook v7.2.2 were patched.
Workarounds
There is no workaround for the underlying DOM Clobbering susceptibility. However, select plugins can be disabled on deployments which cannot update in a timely fashion to minimise the risk. These are:
@jupyterlab/mathjax-extension:plugin- users will loose ability to preview mathematical equations@jupyterlab/markdownviewer-extension:plugin- users will loose ability to open Markdown previews@jupyterlab/mathjax2-extension:plugin(if installed with optionaljupyterlab-mathjax2package) - an older version of the mathjax plugin for JupyterLab 4.x
To disable these extensions run:
jupyter labextension disable @jupyterlab/markdownviewer-extension:plugin
jupyter labextension disable @jupyterlab/mathjax-extension:plugin
jupyter labextension disable @jupyterlab/mathjax2-extension:pluginTo confirm that the plugins were disabled run:
jupyter labextension listReferences
None
Notes
This change has a potential to break rendering of some markdown. There is a setting in Sanitizer which allows to revert to the previous sanitizer settings (allowNamedProperties).
Affected software
Click a technology to see all vulnerabilities affecting it.
| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | jupyterlab | < 3.6.8, >= 4.0.0, < 4.2.5 | 3.6.8, 4.2.5 |
| Python (PyPI) | notebook | >= 7.0.0, < 7.2.2 | 7.2.2 |
References
- https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-9q39-rmj3-p4r2
- https://nvd.nist.gov/vuln/detail/CVE-2024-43805
- https://github.com/jupyterlab/jupyterlab/commit/06ad9de836f155add7d3d651ef936cc4c5ea8093
- https://github.com/jupyterlab/jupyterlab/commit/88e24baac551196f9cb3de16bd060a7ab1597674
- https://github.com/jupyterlab/jupyterlab
- https://pypi.org/project/jupyterlab
- https://github.com/advisories/GHSA-9q39-rmj3-p4r2
- CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:L- Weakness (CWE)
CWE-79- Platform
- Python (PyPI)
- Package
jupyterlab, notebook- Disclosed
- 29.08.2024
- Updated
- 11.10.2026 14:18
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2026-1481 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-9q39-rmj3-p4r2 - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-2536 - PyPA Advisory Database; CC BY 4.0
Vulnerability history: jupyterlab
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 19
- First → latest
- 08.2021 10.2026
- Without a fix
- 0
- Exploited in attacks
- 0
Severity breakdown
- Critical 1
- High 8
- Medium 8
- Low 2
Disclosures per year
- 2021: 1
- 2022: 0
- 2023: 0
- 2024: 4
- 2025: 1
- 2026: 13
-
HTML injection in Jupyter Notebook and JupyterLab leading to DOM Clobbering this entry
Know which vulnerabilities affect your application
With the DockRay integration and software inventory enabled, DockRay checks reported component versions against known vulnerabilities and notifies you about confirmed matches. Coverage depends on the supported technology and available advisory data.