Vulnerability-Lookup

CVE-2026-73417 (GCVE-0-2026-73417)

Vulnerability from cvelistv5 – Published: 2026-08-13 22:04 – Updated: 2026-08-14 16:06

Title

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

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.

Severity

8.6 (High)


                        
                          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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-08-14 16:06 UTC

CWE

CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
CWE-116 - Improper Encoding or Escaping of Output

Assigner

GitHub_M

References

10 references

URL	Tags
https://github.com/jupyterlab/jupyterlab/security…	x_refsource_CONFIRM
https://github.com/jupyterlab/jupyterlab/pull/19184	x_refsource_MISC
https://github.com/jupyterlab/jupyterlab/pull/19185	x_refsource_MISC
https://github.com/jupyterlab/jupyterlab/pull/19186	x_refsource_MISC
https://github.com/jupyterlab/jupyterlab/commit/9…	x_refsource_MISC
https://github.com/jupyterlab/jupyterlab/commit/b…	x_refsource_MISC
https://github.com/jupyterlab/jupyterlab/commit/f…	x_refsource_MISC
https://github.com/jupyterlab/jupyterlab/releases…	x_refsource_MISC
https://github.com/jupyterlab/jupyterlab/releases…	x_refsource_MISC
https://github.com/jupyterlab/jupyterlab/releases…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
jupyterlab	jupyterlab	Affected: >= 3.3.0, < 4.5.10 Affected: >= 4.6.0, < 4.6.2

Show details on NVD website

JSON

To clipboard

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}

GHSA-PPPJ-HQ3G-57PJ

Vulnerability from github – Published: 2026-07-22 23:16 – Updated: 2026-08-12 19:58

Summary

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

Details

JupyterLab 4.5+ allows notebook settings to be shared and applied through an overrides.json file using the Import button in the Settings Editor.

Certain notebook display settings were not properly validated before being applied. As a result, a crafted settings file could contain hidden instructions that run as code inside JupyterLab when imported, instead of only changing a display preference.

Because importing a settings file appears harmless, a user could import a file shared by another party without realizing it could do more. On multi-tenant file systems without proper permission control, another user could plant a malicious overrides.json.

CVE assignment pending, GitHub CNA is experiencing severe backlog

Impact

When a malicious settings file is applied, the embedded code runs with the same access as the affected user. This could allow an attacker to read or modify that user's notebooks and files, and to run code on the user's behalf through the notebook server, including on any connected kernel.

User Interaction vs Privileges Required

Write access to a loaded settings location

If an attacker can write to a directory JupyterLab loads settings from (e.g. on shared or multi-tenant file system), they could place a crafted overrides.json that is applied to another user automatically at startup. This requires high privilages but no action by the victim.

User-imported settings file

A user can import a crafted overrides.json through the Import button in the Settings Editor, having received it from another party. This requires no privileges but a deliberate action by the victim, who reasonably expects a settings file to change preferences rather than run code.

Patches

JupyterLab 4.6.2 and 4.5.10 were patched.

Workarounds

None

Hardening

Treat a settings file as something that can affect how JupyterLab behaves, not only how it appears. Administrators are encouraged to establish a trusted process for distributing configuration rather than relying on ad-hoc importing of shared files.
On multi-tenant or shared file systems, restrict write permissions on the application settings directory and other Jupyter configuration paths so that one user cannot place an overrides.json (or other configuration) readable by another user. A settings file in these locations is applied automatically, without an import step, so directory permissions are the primary control against cross-user tampering.

Severity

8.6 (High)


                  
                    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

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{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 4.6.1"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "jupyterlab"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "4.6.0"
            },
            {
              "fixed": "4.6.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 4.5.9"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "jupyterlab"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "3.3.0"
            },
            {
              "fixed": "4.5.10"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-73417"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79",
      "CWE-116"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-07-22T23:16:18Z",
    "nvd_published_at": null,
    "severity": "HIGH"
  },
  "details": "JupyterLab 4.5+ allows notebook settings to be shared and applied through an `overrides.json` file using the `Import` button in the Settings Editor.\n\nCertain notebook display settings were not properly validated before being applied. As a result, a crafted settings file could contain hidden instructions that run as code inside JupyterLab when imported, instead of only changing a display preference.\n\nBecause importing a settings file appears harmless, a user could import a file shared by another party without realizing it could do more. On multi-tenant file systems without proper permission control, another user could plant a malicious `overrides.json`.\n\n\u003e CVE assignment pending, GitHub CNA is experiencing severe backlog\n\n### Impact\n\nWhen a malicious settings file is applied, the embedded code runs with the same access as the affected user. This could allow an attacker to read or modify that user\u0027s notebooks and files, and to run code on the user\u0027s behalf through the notebook server, including on any connected kernel.\n\n#### User Interaction vs Privileges Required\n\n##### Write access to a loaded settings location\n\nIf an attacker can write to a directory JupyterLab loads settings from (e.g. on shared or multi-tenant file system), they could place a crafted `overrides.json` that is applied to another user automatically at startup. This requires high privilages but no action by the victim. \n\n##### User-imported settings file\n\nA user can import a crafted `overrides.json` through the `Import` button in the Settings Editor, having received it from another party. This requires no privileges but a deliberate action by the victim, who reasonably expects a settings file to change preferences rather than run code.\n\n### Patches\n\nJupyterLab 4.6.2 and 4.5.10 were patched.\n\n### Workarounds\n\nNone\n\n### Hardening\n\n1. Treat a settings file as something that can affect how JupyterLab behaves, not only how it appears. Administrators are encouraged to establish a trusted process for distributing configuration rather than relying on ad-hoc importing of shared files.\n2. On multi-tenant or shared file systems, restrict write permissions on the application settings directory and other Jupyter configuration paths so that one user cannot place an `overrides.json` (or other configuration) readable by another user. A settings file in these locations is applied automatically, without an import step, so directory permissions are the primary control against cross-user tampering.",
  "id": "GHSA-pppj-hq3g-57pj",
  "modified": "2026-08-12T19:58:18Z",
  "published": "2026-07-22T23:16:18Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-pppj-hq3g-57pj"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/pull/19184"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/pull/19185"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/pull/19186"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/commit/be9303f5bcd5308eaeae953c5a3c903046682c2c"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/commit/f1beab4a2027af4719d6edc07d52d6cf5a39a432"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/jupyterlab/jupyterlab"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.10"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.2"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "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",
      "type": "CVSS_V4"
    }
  ],
  "summary": "JupyterLab: Cross-site scripting (XSS) via crafted settings file (`overrides.json`)"
}

Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.

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