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Not in CISA KEV
HIGH severity

CVE-2024-43805

HIGH

CVE-2024-43805 is a high-severity (CVSS 7.6) Cross-site Scripting (XSS) vulnerability in jupyterlab. O3 Security confirms whether CVE-2024-43805 is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

HTML injection in Jupyter Notebook and JupyterLab leading to DOM Clobbering

Also known asBIT-jupyter-base-notebook-2024-43805BIT-jupyter-notebook-2024-43805BIT-jupyterlab-2024-43805GHSA-9q39-rmj3-p4r2PYSEC-2026-1481PYSEC-2026-2536
Published
Aug 28, 2024
Updated
Aug 4, 2026
Affected
3 pkgs
Patched
3 / 3
Exploits
None indexed
Exploitation data as of Aug 4, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Real-World Exposure

3 pkgs affected
🐍jupyterlab🐍notebook🐍jupyterlab

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

jupyterlab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. This 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. JupyterLab v3.6.8, v4.2.5 and Jupyter Notebook v7.2.2 have been patched to resolve this issue. Users are advised to upgrade. 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: 1. @jupyterlab/mathjax-extension:plugin - users will loose ability to preview mathematical equations. 2. @jupyterlab/markdownviewer-extension:plugin - users will loose ability to open Markdown previews. 3. @jupyterlab/mathjax2-extension:plugin (if installed with optional jupyterlab-mathjax2 package) - 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:plugin in bash.

Affected Packages

3 total 3 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIjupyterlaball versions3.6.8
🐍PyPInotebook7.0.0&&< 7.2.27.2.2
🐍PyPIjupyterlab4.0.0&&< 4.2.54.2.5

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for jupyterlab. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update jupyterlab to 3.6.8 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2024-43805 is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 pinpoints whether CVE-2024-43805 is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to CVE-2024-43805. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

jupyterlab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. This 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. JupyterLab v3.6.8, v4.2.5 and Jupyter Notebook v7.2.2 have been patched to resolve this issue. Users are advised to upgrade. There is no workaround for the underlying DOM Clobberin
O3 Security · Impact-Aware SCA

Is CVE-2024-43805 in your dependencies?

O3 detects CVE-2024-43805 across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.

CVE-2024-43805: jupyterlab (High 7.6) | O3 Security