PYSEC-2026-2534

Vulnerability from pysec - Published: 2026-07-13 14:20 - Updated: 2026-07-13 16:04
VLAI
Details

Impact

Users of JupyterLab who click on a malicious link may get their Authorization and XSRFToken tokens exposed to a third party when running an older jupyter-server version.

Patches

JupyterLab 4.1.0b2, 4.0.11, and 3.6.7 were patched.

Workarounds

No workaround has been identified, however users should ensure to upgrade jupyter-server to version 2.7.2 or newer which includes a redirect vulnerability fix.

References

Vulnerability reported by user @davwwwx via the bug bounty program sponsored by the European Commission and hosted on the Intigriti platform.

Impacted products
Name purl
jupyterlab pkg:pypi/jupyterlab

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "jupyterlab",
        "purl": "pkg:pypi/jupyterlab"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.6.7"
            },
            {
              "introduced": "4.0.0"
            },
            {
              "fixed": "4.0.11"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.0.1",
        "0.0.10",
        "0.0.13",
        "0.0.2",
        "0.0.3",
        "0.0.4",
        "0.0.5",
        "0.0.6",
        "0.0.7",
        "0.0.8",
        "0.0.9",
        "0.1.1",
        "0.1.2",
        "0.10.0",
        "0.11.0",
        "0.11.1",
        "0.11.2",
        "0.11.3",
        "0.12.0",
        "0.12.1",
        "0.13.0",
        "0.13.1",
        "0.13.2",
        "0.14.0",
        "0.15.0",
        "0.15.1",
        "0.16.0",
        "0.16.2",
        "0.17.0",
        "0.17.1",
        "0.17.2",
        "0.17.4",
        "0.17.5",
        "0.18.0",
        "0.18.0.dev1",
        "0.18.1",
        "0.19.0",
        "0.2.0",
        "0.20.0",
        "0.20.0rc1",
        "0.20.1",
        "0.20.2",
        "0.20.3",
        "0.20.4",
        "0.21.0",
        "0.21.0rc1",
        "0.21.0rc2",
        "0.21.0rc3",
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        "0.22.1",
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        "0.23.0rc1",
        "0.23.1",
        "0.23.2",
        "0.24.0",
        "0.24.0rc0",
        "0.24.0rc1",
        "0.24.0rc2",
        "0.24.1",
        "0.25.0",
        "0.25.0rc0",
        "0.25.0rc1",
        "0.25.1",
        "0.25.2",
        "0.25.2rc0",
        "0.26.0",
        "0.26.0rc0",
        "0.26.0rc1",
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        "0.34.0rc0",
        "0.34.0rc1",
        "0.34.0rc2",
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        "0.34.11",
        "0.34.12",
        "0.34.2",
        "0.34.3",
        "0.34.4",
        "0.34.5",
        "0.34.6",
        "0.34.7",
        "0.34.8",
        "0.34.9",
        "0.35.0",
        "0.35.0rc0",
        "0.35.0rc1",
        "0.35.0rc2",
        "0.35.1",
        "0.35.2",
        "0.35.3",
        "0.35.4",
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        "0.35.6",
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        "3.1.0a10",
        "3.1.0a11",
        "3.1.0a12",
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        "3.1.0a4",
        "3.1.0a5",
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        "3.1.0a9",
        "3.1.0b0",
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        "3.1.0rc1",
        "3.1.0rc2",
        "3.1.1",
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        "3.1.12",
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        "3.1.17",
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        "3.4.3",
        "3.4.4",
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        "3.4.8",
        "3.5.0",
        "3.5.0a0",
        "3.5.0b0",
        "3.5.0rc0",
        "3.5.1",
        "3.5.2",
        "3.5.3",
        "3.6.0",
        "3.6.0a0",
        "3.6.0a1",
        "3.6.0a2",
        "3.6.0a3",
        "3.6.0a4",
        "3.6.0a5",
        "3.6.0b0",
        "3.6.0rc0",
        "3.6.0rc1",
        "3.6.1",
        "3.6.2",
        "3.6.3",
        "3.6.4",
        "3.6.5",
        "3.6.6",
        "4.0.0",
        "4.0.1",
        "4.0.10",
        "4.0.2",
        "4.0.3",
        "4.0.4",
        "4.0.5",
        "4.0.6",
        "4.0.7",
        "4.0.8",
        "4.0.9"
      ]
    }
  ],
  "aliases": [
    "CVE-2024-22421",
    "GHSA-44cc-43rp-5947"
  ],
  "details": "### Impact\nUsers of JupyterLab who click on a malicious link may get their `Authorization` and `XSRFToken` tokens exposed to a third party when running an older `jupyter-server` version.\n\n### Patches\nJupyterLab 4.1.0b2, 4.0.11, and 3.6.7 were patched.\n\n### Workarounds\nNo workaround has been identified, however users should ensure to upgrade `jupyter-server` to version 2.7.2 or newer which includes a redirect vulnerability fix.\n\n### References\n\nVulnerability reported by user @davwwwx via the [bug bounty program](https://app.intigriti.com/programs/jupyter/jupyter/detail) [sponsored by the European Commission](https://commission.europa.eu/news/european-commissions-open-source-programme-office-starts-bug-bounties-2022-01-19_en) and hosted on the [Intigriti platform](https://www.intigriti.com/).\n",
  "id": "PYSEC-2026-2534",
  "modified": "2026-07-13T16:04:23.520508Z",
  "published": "2026-07-13T14:20:02.685378Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-44cc-43rp-5947"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-22421"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/commit/19bd9b96cb2e77170a67e43121637d0b5619e8c6"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/commit/1ef7a4fa0202ebdf663e1cc0b45c8813a34a0b96"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/commit/fccd83dc4441da0384ee3fd1322c3b2d9ad4caaa"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/jupyterlab/jupyterlab"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/UQJKNRDRFMKGVRIYNNN6CKMNJDNYWO2H"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/jupyterlab"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-44cc-43rp-5947"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:L",
      "type": "CVSS_V3"
    }
  ],
  "summary": "JupyterLab vulnerable to potential authentication and CSRF tokens leak"
}



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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

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.

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