Your RSA-2048 keys break in 2030. Find every one of them before attackers do.
🐍 PyPI

GHSA-4m77-cmpx-vjc4

MEDIUM

JupyterLab vulnerable to SXSS in Markdown Preview

Also known asBIT-jupyter-base-notebook-2024-22420BIT-jupyter-notebook-2024-22420BIT-jupyterlab-2024-22420CVE-2024-22420
Published
Jan 19, 2024
Updated
Feb 20, 2024
Affected
2 pkgs
Patched
2 / 2
Exploits
None indexed

EPSS Exploitation Probability

via FIRST.org ↗
0.6%probability of exploitation in next 30 days
Lower Risk43th percentile+0.23%
0.00%0.36%0.71%1.07%0.4%0.6%Dec 25Apr 26Jun 26

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

Blast Radius

2 pkgs affected
🐍jupyterlab🐍notebook

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

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 v4.0.11 was patched.

Workarounds

Users can either disable the table of contents extension by running:

jupyter labextension disable @jupyterlab/toc-extension:registry

References

Vulnerability reported via the bug bounty program sponsored by the European Commission and hosted on the Intigriti platform.

Affected Packages

2 total 2 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIjupyterlab4.0.0&&< 4.0.114.0.11
🐍PyPInotebook7.0.0&&< 7.0.77.0.7

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 4.0.11 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-4m77-cmpx-vjc4 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 GHSA-4m77-cmpx-vjc4 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 GHSA-4m77-cmpx-vjc4. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### 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 v4.0.11 was patched. ### Workarounds Users can either disable the table of contents extension by running: ```bash jupyter labextension disable @jupyterlab/toc-extension:registry ``` ### References Vulnerability reported via the [bug bounty program](https://app.intig
O3 Security · Impact-Aware SCA

Is GHSA-4m77-cmpx-vjc4 in your dependencies?

O3 detects GHSA-4m77-cmpx-vjc4 across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.