CVE-2024-43805: Jupyterlab HTML Injection Vulnerability

HIGH
Advisory Identifier: GHSA-9q39-rmj3-p4r2
CVSS 7.6
CWE-79
Published
Advisory Summary

CVE-2024-43805 is a HIGH (CVSS 7.6) html injection vulnerability (CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')) affecting Jupyterlab libraries in the PyPI ecosystem. The issue involves html injection in jupyter notebook and jupyterlab leading to dom clobbering. Remediation is available by upgrading affected packages to version 3.6.8, 7.2.2, 4.2.5.

CVE-2024-43805 at a Glance

CVE Identifier CVE-2024-43805
GHSA Identifier GHSA-9q39-rmj3-p4r2
Severity HIGH
CVSS v3.1 Base Score 7.6
CWE Classification CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Affected Product Jupyterlab
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 7.6

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:L).

Attack Vector Network (AV:N)
Attack Complexity Low (AC:L)
Privileges Required None (PR:N)
User Interaction Required (UI:R)
Scope Unchanged (S:U)
Confidentiality High (C:H)
Integrity Low (I:L)
Availability Low (A:L)

How to Fix CVE-2024-43805

To remediate this vulnerability, upgrade all affected Jupyterlab dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

jupyterlab fixed: 3.6.8
pip install jupyterlab>=3.6.8
notebook fixed: 7.2.2
pip install notebook>=7.2.2
jupyterlab fixed: 4.2.5
pip install jupyterlab>=4.2.5
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release:

pip show jupyterlab

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2024-43805, inspect your installed packages using pip:

pip show jupyterlab

Analyze the terminal output to locate any version of Jupyterlab in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 3.6.8), your application is affected.

Note: The pip show jupyterlab command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting'), where the product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. In Jupyterlab, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

### 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 optional `jupyterlab-mathjax2` package) - an older version of the mathjax plugin for JupyterLab 4.x To disable these extensions run: ```bash jupyter labextension disable @jupyterlab/markdownviewer-extension:plugin jupyter labextension disable @jupyterlab/mathjax-extension:plugin jupyter labextension disable @jupyterlab/mathjax2-extension:plugin ``` To confirm that the plugins were disabled run: ```bash jupyter labextension list ``` ### References 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`).

CVE-2024-43805 Affected Jupyterlab Versions

3 component(s)
Fixed Versions:
3.6.87.2.24.2.5
Product / Package Ecosystem Affected Versions Fixed Version
jupyterlab
PyPI
< 3.6.8
3.6.8
notebook
PyPI
≥ 7.0.0
< 7.2.2
7.2.2
jupyterlab
PyPI
≥ 4.0.0
< 4.2.5
4.2.5

References

Frequently Asked Questions

What is CVE-2024-43805?
CVE-2024-43805 is a security vulnerability in Jupyterlab involving HTML injection in Jupyter Notebook and JupyterLab leading to DOM Clobbering under CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting').
Which Jupyterlab versions are affected?
Affected versions include releases prior to 3.6.8, 7.2.2, 4.2.5 across affected packages: jupyterlab, notebook.
What version fixes CVE-2024-43805?
Upgrading to 3.6.8, 7.2.2, 4.2.5 (or the latest patched release for your respective branch) resolves the vulnerability.
Is jupyterlab affected?
Yes, jupyterlab is affected in releases prior to 3.6.8, 4.2.5. Upgrade your dependency to 3.6.8, 4.2.5 or later.
Is notebook affected?
Yes, notebook is affected in releases prior to 7.2.2. Upgrade your dependency to 7.2.2 or later.
What is the CVSS score of CVE-2024-43805?
CVE-2024-43805 has a CVSS v3.1 base score of 7.6 (HIGH) with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:L.
What CWE is associated with CVE-2024-43805?
CVE-2024-43805 is classified under CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') (The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.).
How can I check PyPI dependencies for CVE-2024-43805?
Run the dependency tree command: 'pip show jupyterlab'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-9q39-rmj3-p4r2",
  "modified" : "2024-08-29T17:55:53Z",
  "published" : "2024-08-29T17:55:53Z",
  "aliases" : [ "CVE-2024-43805" ],
  "summary" : "HTML injection in Jupyter Notebook and JupyterLab leading to DOM Clobbering",
  "details" : "### Impact\n\nThe vulnerability depends on user interaction by opening a malicious notebook with Markdown cells, or Markdown file using JupyterLab preview feature.\n\nA malicious user can access any data that the attacked user has access to as well as perform arbitrary requests acting as the attacked user.\n\n### Patches\n\nJupyterLab v3.6.8, v4.2.5 and Jupyter Notebook v7.2.2 were patched.\n\n### Workarounds\n\nThere 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:\n- `@jupyterlab/mathjax-extension:plugin` - users will loose ability to preview mathematical equations \n- `@jupyterlab/markdownviewer-extension:plugin` - users will loose ability to open Markdown previews\n- `@jupyterlab/mathjax2-extension:plugin` (if installed with optional `jupyterlab-mathjax2` package) - an older version of the mathjax plugin for JupyterLab 4.x\n\nTo disable these extensions run:\n\n```bash\njupyter labextension disable @jupyterlab/markdownviewer-extension:plugin\njupyter labextension disable @jupyterlab/mathjax-extension:plugin\njupyter labextension disable @jupyterlab/mathjax2-extension:plugin\n```\n\nTo confirm that the plugins were disabled run:\n\n```bash\njupyter labextension list\n```\n\n### References\n\nNone\n\n### Notes\n\nThis 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`).",
  "severity" : [ {
    "type" : "CVSS_V3",
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  } ],
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    "database_specific" : {
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    "package" : {
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    "ranges" : [ {
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    } ],
    "database_specific" : {
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  "references" : [ {
    "type" : "WEB",
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  }, {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2024-43805"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/jupyterlab/jupyterlab/commit/06ad9de836f155add7d3d651ef936cc4c5ea8093"
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    "url" : "https://github.com/jupyterlab/jupyterlab/commit/88e24baac551196f9cb3de16bd060a7ab1597674"
  }, {
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    "url" : "https://github.com/jupyterlab/jupyterlab"
  } ],
  "database_specific" : {
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    "severity" : "HIGH",
    "github_reviewed" : true,
    "github_reviewed_at" : "2024-08-29T17:55:53Z",
    "nvd_published_at" : "2024-08-28T20:15:07Z"
  }
}