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VulnerabilityPublished

CVE-2024-22420: jupyterlab · Cross-site Scripting

Affects jupyterlabSource CVE Database V5

0

Not known to be exploited · CVSS 6.5 Medium : upgrade to 4.0.11 when convenient.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 3.1 base score
6.5Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.5% chance of exploitation in 30 days – higher than 47% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 4.0.11
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 30 May 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Upgrade jupyterlab to 4.0.11.

Affected software

ProductAffectedFixed in
PyPIjupyterlabpkg:pypi/jupyterlabOther threatsAffected
  • <4.0.11
Fixed in
  • 4.0.11

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

A patch is available in JupyterLab version 4.0.11. Users should upgrade to this version or later to remediate the vulnerability. As a workaround, users can disable the table of contents extension by running 'jupyter labextension disable @jupyterlab/toc-extension:registry'.

Description

CVE-2024-22420 is a cross-site scripting (XSS) vulnerability in JupyterLab that arises from improper neutralization of input during web page generation. The vulnerability can be triggered when a user opens a malicious notebook containing Markdown cells or previews a malicious Markdown file. Exploitation allows an attacker to access any data available to the victim and perform arbitrary requests on their behalf. JupyterLab version 4.0.11 includes a patch that addresses this issue. As a workaround, users can disable the table of contents extension to mitigate the risk.

References

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