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Fencer Intel
high 8.6

CVE-2026-73417 json

JupyterLab: Cross-site scripting (XSS) via crafted settings file (`overrides.json`)

published 3mo ago modified last mo. also BIT-jupyterlab-2026-73417 , EUVD-2026-58522 , GHSA-pppj-hq3g-57pj , PYSEC-2026-3672

cvss
8.6
version 4.0, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.7%
EPSS 0.7% chance of exploitation in 30 days, percentile 55%
public exploits
0
none known

Summary

jupyterlab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From 3.3.0 until 4.5.10 and 4.6.2, JupyterLab allows notebook settings to be shared and applied through an overrides.json file using the Import button in the Settings Editor. In packages/notebook-extension/schema/tracker.json and packages/notebook-extension/src/index.ts, the sideBySideLeftMarginOverride and sideBySideRightMarginOverride settings are not properly validated before being inserted into style content, allowing a crafted settings file to contain instructions that execute as code instead of only changing display preferences. A user can import the malicious file, or an attacker with access to a shared settings location can plant an overrides.json that is applied automatically. The embedded code runs with the affected user's access and can read or modify notebooks and files and run code through the notebook server, including on a connected kernel. This issue is fixed in versions 4.5.10 and 4.6.2.

Patch / fix

  • pypi jupyterlab 4.5.10, 4.6.2
  • bitnami jupyterlab 4.5.10, 4.6.2
  • jupyter jupyterlab 4.5.10, 4.6.2
  • jupyterlab Debian 14 4.4.10+ds1+~3.1.0+~0.16.6+~cs1.4.4-4

debian advisories DEBIAN-CVE-2026-73417

  • python-jupyterlab openSUSE Tumbleweed 4.5.10-1.1

opensuse advisories openSUSE-SU-2026:11634-1

Is CVE-2026-73417 in your dependencies? Fencer shows which of your repositories are affected as soon as an advisory lands, and opens the fix as a pull request.

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Vendor advisories

What the vendors themselves say about their products: affected, fixed or not affected, and what to do.

red hat product security vex CVE-2026-73417 updated cvss 8.3

jupyterlab: JupyterLab: Cross-site scripting (XSS) allows arbitrary code execution

  • Red Hat OpenShift AI (RHOAI) rhoai/odh-th06-cpu-torch291-py312-rhel9, rhoai/odh-th06-cuda130-torch291-py312-rhel9
    affected: workaround, no fix available “Users should avoid importing `overrides.json` files from untrusted sources. Additionally, ensure that shared settings locations are secured to prevent unauthorized modification by attackers.”
  • Red Hat OpenShift AI 2.25 rhoai/odh-feature-server-rhel9 1792148523, rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9 1788185839, rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9 1788185798, rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9 1788185733, rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9 1788185436, rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9 1788185848, +5 more
    fixed: vendor fix “Users should avoid importing `overrides.json` files from untrusted sources. Additionally, ensure that shared settings locations are secured to prevent unauthorized modification by attackers.” RHSA-2026:87410
  • Red Hat OpenShift AI 3.3 rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9 1790260954, rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9 1790072130, rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9 1790072109, rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9 1789651387, rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9 1789651385, rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9 1790260954, +4 more
    fixed: vendor fix “Users should avoid importing `overrides.json` files from untrusted sources. Additionally, ensure that shared settings locations are secured to prevent unauthorized modification by attackers.” RHSA-2026:73987
  • Red Hat OpenShift AI 3.4 rhoai/odh-feature-server-rhel9 1791863220, rhoai/odh-th06-cpu-torch210-py312-rhel9 1791874335, rhoai/odh-th06-rocm64-torch291-py312-rhel9 1791872119, rhoai/odh-th06-cuda130-torch210-py312-rhel9 1791961113, rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9 1791870673, rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9 1791953196, +8 more
    fixed: vendor fix “Users should avoid importing `overrides.json` files from untrusted sources. Additionally, ensure that shared settings locations are secured to prevent unauthorized modification by attackers.” RHSA-2026:84734
  • Red Hat OpenShift AI 3.5 rhoai/odh-th-torch-cpu-py312-rhel9 1791926611, rhoai/odh-th-torch-cuda-py312-rhel9 1791927642, rhoai/odh-th-torch-rocm-py312-rhel9 1791925861, rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9 1791572098, rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9 1791572144, rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9 1791572102
    fixed: vendor fix “Users should avoid importing `overrides.json` files from untrusted sources. Additionally, ensure that shared settings locations are secured to prevent unauthorized modification by attackers.” RHSA-2026:86891
  • Red Hat Migration Toolkit for Applications 8 mta/mta-solution-server-rhel9
    not affected: component not present
  • Red Hat OpenShift AI (RHOAI) rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9 Red Hat OpenShift AI 2.25 rhoai/odh-rhel9-operator 1788331391, rhoai/odh-rhel9-operator 1792570619, rhoai/odh-vllm-cpu-rhel9 1786712073, rhoai/odh-vllm-cpu-rhel9 1792018436, rhoai/odh-dashboard-rhel9 1788312226, rhoai/odh-dashboard-rhel9 1791853525, +132 more Red Hat OpenShift AI 3.3 rhoai/odh-cli-rhel9 1790070206, rhoai/rhai-cli-rhel9 1790070206, rhoai/odh-mlflow-rhel9 1789653606, rhoai/odh-trainer-rhel9 1790136369, rhoai/odh-maas-api-rhel9 1790131842, rhoai/odh-mlserver-rhel9 1789121365, +67 more Red Hat OpenShift AI 3.4 rhoai/odh-cli-rhel9 1791509689, rhoai/rhai-cli-rhel9 1791509689, rhoai/odh-automl-rhel9 1791535789, rhoai/odh-mlflow-rhel9 1791865967, rhoai/odh-autorag-rhel9 1791557539, rhoai/odh-trainer-rhel9 1791869783, +86 more Red Hat OpenShift AI 3.5 rhoai/odh-cli-rhel9 1791945905, rhoai/rhai-cli-rhel9 1791945905, rhoai/odh-automl-rhel9 1791916705, rhoai/odh-mlflow-rhel9 1791947857, rhoai/odh-autorag-rhel9 1791903266, rhoai/odh-trainer-rhel9 1791952138, +107 more
    not affected: vulnerable code not present

Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf

CISA SSVC

Exploitation
none
Automatable
no
Technical impact
total
Assessed
2mo ago

Exploit prediction

0.75% chance of exploitation in the next 30 days, higher than 55% of all scored CVEs (FIRST EPSS, 2026-11-11).

CVSS scores

assigned by version score vector
CNA 4.0 8.6 CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:L/SC:N/SI:N/SA:L
CNA 4.0 8.6 CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:L/SC:N/SI:N/SA:L/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Affected packages

ecosystem package affected fixed in
pypi jupyterlab
>=4.6.0, <4.6.2
>=3.3.0, <4.5.10
4.6.2
4.5.10
bitnami jupyterlab
>=3.3.0, <4.5.10
>=4.6.0, <4.6.2
4.5.10
4.6.2

Affected products

  • jupyterlab jupyterlab

Classification

Weakness
  • CWE-79 Improper Neutralization of Input During Web Page Generation
  • CWE-116 Improper Encoding or Escaping of Output

References

Sources

Fencer Intel keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.

The maintainers of jupyterlab/jupyterlab published their own advisory on GitHub. Reviewed sources take precedence over it.

CPEs and fixed versions use Anchore's correction of NVD's data: Added CPE configurations because not yet analyzed by NVD.