GHSA-FPF6-H6P9-9RJR

Vulnerability from github – Published: 2026-08-13 12:31 – Updated: 2026-08-13 12:31
VLAI
Details

JupyterLab (pip package 'jupyterlab') versions >=4.1.0,<=4.5.9 and >=4.6.0,<=4.6.1 contain a plugin manager lock-rule enforcement bypass. Two server-side enforcement gaps allow an authenticated user to circumvent administrator lock rules by making direct requests to the /lab/api/plugins endpoint, enabling or disabling plugins that were locked — including child plugins of multi-plugin extensions and plugins locked via the 'lock all' mechanism. This can impact data integrity and bypass hardening or restrictions (e.g., download/upload limits) implemented through locked plugins. Fixed in versions 4.6.2 and 4.5.10.

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{
  "affected": [],
  "aliases": [
    "CVE-2026-73627"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-602"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-13T12:17:28Z",
    "severity": "MODERATE"
  },
  "details": "JupyterLab (pip package \u0027jupyterlab\u0027) versions \u003e=4.1.0,\u003c=4.5.9 and \u003e=4.6.0,\u003c=4.6.1 contain a plugin manager lock-rule enforcement bypass. Two server-side enforcement gaps allow an authenticated user to circumvent administrator lock rules by making direct requests to the /lab/api/plugins endpoint, enabling or disabling plugins that were locked \u2014 including child plugins of multi-plugin extensions and plugins locked via the \u0027lock all\u0027 mechanism. This can impact data integrity and bypass hardening or restrictions (e.g., download/upload limits) implemented through locked plugins. Fixed in versions 4.6.2 and 4.5.10.",
  "id": "GHSA-fpf6-h6p9-9rjr",
  "modified": "2026-08-13T12:31:11Z",
  "published": "2026-08-13T12:31:11Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-h5v5-8746-g7mm"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-73627"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/jupyterlab-plugin-manager-lock-rule-enforcement-bypass"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:L/VI:H/VA:N/SC:N/SI:N/SA:N/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",
      "type": "CVSS_V4"
    }
  ]
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

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