Vulnerability-Lookup

CVE-2026-42557 (GCVE-0-2026-42557)

Vulnerability from cvelistv5 – Published: 2026-05-13 15:06 – Updated: 2026-08-28 12:04

Title

jupyterlab: Command linker attributes in HTML enable one-click command execution from untrusted content

Summary

jupyterlab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. Prior to 4.5.7, JupyterLab's HTML sanitizer allowlists data-commandlinker-command and data-commandlinker-args on button elements, while CommandLinker listens for all click events on document.body and executes the named command without checking whether the element came from trusted JupyterLab UI. A notebook with a pre-saved HTML cell output containing a deceptive button can trigger arbitrary JupyterLab commands - including arbitrary code execution - on a single user click, without any code being submitted for execution by the user. This vulnerability is fixed in 4.5.7.

Severity

8.6 (High)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

8.8 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-05-14 17:57 UTC

CWE

CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

Assigner

GitHub_M CNA under the mitre root

CNA scorecard C 72/100 over 7886 records in the last 180 days details

References

6 references

URL	Tags
https://github.com/jupyterlab/jupyterlab/security…	x_refsource_CONFIRM
https://access.redhat.com/security/cve/CVE-2026-42557	vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2477086	issue-trackingx_refsource_REDHAT
https://security.access.redhat.com/data/csaf/v2/v…	x_sadp-csaf-vex
https://access.redhat.com/errata/RHSA-2026:43038	vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2026:60520	vendor-advisoryx_refsource_REDHAT

Impacted products

16 products

Vendor	Product	Version	CPE status
jupyterlab	jupyterlab	Affected: < 4.5.7	guessed
jupyter	notebook	Affected: >= 7.0.0, < 7.5.6	guessed
Red Hat	Red Hat Migration Toolkit for Applications 8.2	Unaffected: 1784109883 , < * (rpm) cpe:/a:redhat:migration_toolkit_applications:8.2::el9
Red Hat	Red Hat OpenShift AI 3.4	Unaffected: 1787076778 , < * (rpm) cpe:/a:redhat:openshift_ai:3.4::el9
Red Hat	Red Hat OpenShift AI 3.4	Unaffected: 1787077779 , < * (rpm) cpe:/a:redhat:openshift_ai:3.4::el9
Red Hat	Red Hat OpenShift AI 3.4	Unaffected: 1787076481 , < * (rpm) cpe:/a:redhat:openshift_ai:3.4::el9
Red Hat	Red Hat OpenShift AI 3.4	Unaffected: 1787074331 , < * (rpm) cpe:/a:redhat:openshift_ai:3.4::el9
Red Hat	Red Hat OpenShift AI 3.4	Unaffected: 1787073913 , < * (rpm) cpe:/a:redhat:openshift_ai:3.4::el9
Red Hat	Red Hat OpenShift AI 3.4	Unaffected: 1787074078 , < * (rpm) cpe:/a:redhat:openshift_ai:3.4::el9
Red Hat	Red Hat OpenShift AI 3.4	Unaffected: 1787073929 , < * (rpm) cpe:/a:redhat:openshift_ai:3.4::el9
Red Hat	Red Hat OpenShift AI 3.4	Unaffected: 1787073605 , < * (rpm) cpe:/a:redhat:openshift_ai:3.4::el9
Red Hat	Red Hat OpenShift AI 3.4	Unaffected: 1787073546 , < * (rpm) cpe:/a:redhat:openshift_ai:3.4::el9
Red Hat	Red Hat OpenShift AI 3.4	Unaffected: 1787073717 , < * (rpm) cpe:/a:redhat:openshift_ai:3.4::el9
Red Hat	Red Hat OpenShift AI 3.4	Unaffected: 1787073713 , < * (rpm) cpe:/a:redhat:openshift_ai:3.4::el9
Red Hat	Red Hat OpenShift AI 3.4	Unaffected: 1787073593 , < * (rpm) cpe:/a:redhat:openshift_ai:3.4::el9
Red Hat	Red Hat OpenShift AI (RHOAI)	cpe:/a:redhat:openshift_ai

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bit-jupyterlab-2026-42557

Vulnerability from bitnami_vulndb

Published

2026-05-15 08:42

Modified

2026-09-10 15:46

Summary

jupyterlab: Command linker attributes in HTML enable one-click command execution from untrusted content

Details

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "Bitnami",
        "name": "jupyterlab",
        "purl": "pkg:bitnami/jupyterlab"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "4.5.7"
            }
          ],
          "type": "SEMVER"
        }
      ],
      "severity": [
        {
          "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H",
          "type": "CVSS_V3"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-42557"
  ],
  "database_specific": {
    "cpes": [
      "cpe:2.3:a:jupyter:jupyterlab:*:*:*:*:*:*:*:*"
    ],
    "severity": "Critical"
  },
  "details": "jupyterlab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. Prior to 4.5.7, JupyterLab\u0027s HTML sanitizer allowlists data-commandlinker-command and data-commandlinker-args on button elements, while CommandLinker listens for all click events on document.body and executes the named command without checking whether the element came from trusted JupyterLab UI. A notebook with a pre-saved HTML cell output containing a deceptive button can trigger arbitrary JupyterLab commands - including arbitrary code execution - on a single user click, without any code being submitted for execution by the user. This vulnerability is fixed in 4.5.7.",
  "id": "BIT-jupyterlab-2026-42557",
  "modified": "2026-09-10T15:46:03.895Z",
  "published": "2026-05-15T08:42:30.212Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-mqcg-5x36-vfcg"
    },
    {
      "type": "WEB",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-42557"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/CVE-2026-42557"
    },
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      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2477086"
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    },
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    },
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    }
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  "schema_version": "1.6.2",
  "summary": "jupyterlab: Command linker attributes in HTML enable one-click command execution from untrusted content"
}

BREW-JUPYTERLAB-CVE-2026-42557 (GHSA-MQCG-5X36-VFCG)

Vulnerability from osv_homebrew – Published: 2026-08-13 17:01 – Updated: 2026-11-10 09:47 – Source website

Summary

JupyterLab's command linker attributes in HTML enable one-click command execution from untrusted content

Details

JupyterLab's HTML sanitizer allowlists data-commandlinker-command and data-commandlinker-args on button elements, while CommandLinker listens for all click events on document.body and executes the named command without checking whether the element came from trusted JupyterLab UI. A notebook with a pre-saved HTML cell output containing a deceptive button can trigger arbitrary JupyterLab commands - including arbitrary code execution - on a single user click, without any code being submitted for execution by the user.

Impact

An attacker who shares a notebook or a Markdown file - via email, GitHub, or a Binder link - can invoke an arbitrary command upon a single click by the victim. The button can be rendered inside the output area and be visually indistinguishable from a legitimate widget. No kernel needs to start; the HTML output is stored in the notebook file and displayed immediately on open.

Single-click impact

An attacker convincing the victim to click on a single button or link can: - execute arbitrary code in the available kernels, - delete files leading to information loss; in principle the loss could be unrecoverable, depending on server configuration and attack complexity, - open multiple kernels/terminals at once, or create multiple files at once, putting significant stress on the server and thus deny availability for other users when using standalone multi-tenant jupyter-server deployment, and to a lesser degree impact availability on JupyterHub deployments.

The arbitrary code execution will be immediately visible to the user; and can be halted by the timely user intervention. The deletion of files can be silent and go unnoticed for some time.

Multi-click attacks

An attacker who convinces the victim to click on multiple buttons in specific order and to grant access to clipboard (or in scenarios where the user already granted keyboard access) can obtain full access to the terminal and execute arbitrary commands in the environment with access scope that might exceed that of available kernels. Only users of Chromium-based browsers are susceptible to this expanded variant of the attack.

The execution of commands in the terminal would be immediately visible to the user.

Impact of third-party extensions

The impact described above assumes a plain JupyterLab/Notebook installation. In environments with frontend extensions that contribute additional commands the attack surface is increased by the functionality covered by these commands.

Patches

JupyterLab 4.5.7

Workarounds

No workarounds are available for end-users.

Downstream applications inheriting from JupyterFrontEnd or JupyterLab can effectively disable the CommandLinker by passing commandLinker: new CommandLinker({ commands: new CommandRegistry() }) option in the initialization options.

Hardening

The patched versions include a toggle to disable the command linker functionality altogether, for example via overrides.json:

{
  "@jupyterlab/apputils-extension:sanitizer": {
    "allowCommandLinker": false
  }
}

Resources

https://jupyterlab.readthedocs.io/en/latest/user/commands.html#commands-in-markdown-files

Severity

9.6 (Critical)


                    
                      CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H

8.6 (High)


                    
                      CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

References

URL

Type

	https://github.com/jupyterlab/jupyterlab/security…	WEB
	https://nvd.nist.gov/vuln/detail/CVE-2026-42557	ADVISORY
	https://github.com/jupyterlab/jupyterlab	PACKAGE
	https://jupyterlab.readthedocs.io/en/latest/user/…	WEB

JSON

To clipboard

{
  "affected": [
    {
      "ecosystem_specific": {
        "fix": "bump",
        "range_state": "fixed",
        "upstream_fixed_in": "4.5.7"
      },
      "package": {
        "ecosystem": "Homebrew",
        "name": "jupyterlab",
        "purl": "pkg:brew/jupyterlab"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "1.2.0"
            },
            {
              "fixed": "4.5.7_1"
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          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "database_specific": {
    "confidence": "high",
    "source": "matched",
    "strategy": "registry",
    "upstream_evidence": [
      {
        "ecosystem": "PyPI",
        "key": "pkg:pypi/jupyterlab@4.6.6",
        "name": "jupyterlab",
        "strategy": "registry",
        "subject_version": "4.6.6"
      },
      {
        "ecosystem": "PyPI",
        "key": "pkg:pypi/notebook@7.6.4",
        "name": "notebook",
        "resource": "notebook",
        "strategy": "registry",
        "subject_version": "7.6.4"
      },
      {
        "ecosystem": "Debian",
        "key": "Debian/jupyterlab",
        "name": "jupyterlab",
        "strategy": "distro"
      },
      {
        "ecosystem": "PyPI",
        "key": "upstream:pkg:pypi/jupyterlab@4.6.6",
        "name": "jupyterlab",
        "strategy": "distro",
        "subject_version": "4.6.6"
      },
      {
        "ecosystem": "Ubuntu",
        "key": "Ubuntu/jupyterlab",
        "name": "jupyterlab",
        "strategy": "distro"
      }
    ]
  },
  "details": "JupyterLab\u0027s HTML sanitizer allowlists `data-commandlinker-command` and `data-commandlinker-args` on `button` elements, while `CommandLinker` listens for all click events on `document.body` and executes the named command without checking whether the element came from trusted JupyterLab UI. A notebook with a pre-saved HTML cell output containing a deceptive button can trigger arbitrary JupyterLab commands - including arbitrary code execution - on a single user click, without any code being submitted for execution by the user.\n\n### Impact\n\nAn attacker who shares a notebook or a Markdown file - via email, GitHub, or a Binder link - can invoke an arbitrary command upon a single click by the victim. The button can be rendered inside the output area and be visually indistinguishable from a legitimate widget. No kernel needs to start; the HTML output is stored in the notebook file and displayed immediately on open.\n\n#### Single-click impact\n\nAn attacker convincing the victim to click on a single button or link can:\n- execute arbitrary code in the available kernels,\n- delete files leading to information loss; in principle the loss could be unrecoverable, depending on server configuration and attack complexity,\n- open multiple kernels/terminals at once, or create multiple files at once, putting significant stress on the server and thus deny availability for other users when using standalone multi-tenant jupyter-server deployment, and to a lesser degree impact availability on JupyterHub deployments.\n\nThe arbitrary code execution will be immediately visible to the user; and can be halted by the timely user intervention. The deletion of files can be silent and go unnoticed for some time.\n\n#### Multi-click attacks\n\nAn attacker who convinces the victim to click on multiple buttons in specific order and to grant access to clipboard (or in scenarios where the user already granted keyboard access) can obtain full access to the terminal and execute arbitrary commands in the environment with access scope that might exceed that of available kernels. Only users of Chromium-based browsers are susceptible to this expanded variant of the attack.\n\nThe execution of commands in the terminal would be immediately visible to the user.\n\n#### Impact of third-party extensions\n\nThe impact described above assumes a plain JupyterLab/Notebook installation. In environments with frontend extensions that contribute additional commands the attack surface is increased by the functionality covered by these commands.\n\n### Patches\n\nJupyterLab 4.5.7\n\n### Workarounds\n\nNo workarounds are available for end-users.\n\nDownstream applications inheriting from `JupyterFrontEnd` or `JupyterLab` can effectively disable the `CommandLinker` by passing `commandLinker: new CommandLinker({ commands: new CommandRegistry() })` option in the initialization options.\n\n### Hardening\n\nThe patched versions include a toggle to disable the command linker functionality altogether, for example via `overrides.json`:\n\n```json\n{\n  \"@jupyterlab/apputils-extension:sanitizer\": {\n    \"allowCommandLinker\": false\n  }\n}\n```\n\n### Resources\n\n- https://jupyterlab.readthedocs.io/en/latest/user/commands.html#commands-in-markdown-files",
  "id": "BREW-jupyterlab-CVE-2026-42557",
  "modified": "2026-11-10T09:47:39Z",
  "published": "2026-08-13T17:01:18Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-mqcg-5x36-vfcg"
    },
    {
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      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-42557"
    },
    {
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      "url": "https://github.com/jupyterlab/jupyterlab"
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      "url": "https://jupyterlab.readthedocs.io/en/latest/user/commands.html#commands-in-markdown-files"
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      "type": "CVSS_V3"
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    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "JupyterLab\u0027s command linker attributes in HTML enable one-click command execution from untrusted content",
  "upstream": [
    "GHSA-mqcg-5x36-vfcg",
    "BIT-jupyter-base-notebook-2026-42557",
    "BIT-jupyter-notebook-2026-42557",
    "BIT-jupyterlab-2026-42557",
    "CVE-2026-42557",
    "PYSEC-2026-2537",
    "PYSEC-2026-2681"
  ]
}

CLEANSTART-2026-CB04703 (CVE-2026-42557)

Vulnerability from cleanstart – Published: 2026-09-18 09:43 – Updated: 2026-10-08 18:21 – Source website

Summary

Security fix for CVE-2026-42557 applied in: tensorflow-gpu-jupyter 2.21.0-r5

Details

Security vulnerability affects the tensorflow-gpu-jupyter package. This issue is resolved in later releases. See references for vulnerability details.

Severity

9.6 (Critical)


                    
                      CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H

8.6 (High)


                    
                      CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/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

References

URL

Type

	https://github.com/cleanstart-dev/cleanstart-secu…	ADVISORY
	https://osv.dev/vulnerability/CVE-2026-42557	WEB
	https://nvd.nist.gov/vuln/detail/CVE-2026-42557	WEB

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "CleanStart",
        "name": "tensorflow-gpu-jupyter",
        "purl": "pkg:apk/cleanstart/tensorflow-gpu-jupyter"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.21.0-r5"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "credits": [],
  "database_specific": {},
  "details": "Security vulnerability affects the tensorflow-gpu-jupyter package. This issue is resolved in later releases. See references for vulnerability details.",
  "id": "CLEANSTART-2026-CB04703",
  "modified": "2026-10-08T18:21:27Z",
  "published": "2026-09-18T09:43:41.063202Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://github.com/cleanstart-dev/cleanstart-security-advisories/tree/main/advisories/2026/CLEANSTART-2026-CB04703.json"
    },
    {
      "type": "WEB",
      "url": "https://osv.dev/vulnerability/CVE-2026-42557"
    },
    {
      "type": "WEB",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-42557"
    }
  ],
  "related": [],
  "schema_version": "1.7.3",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/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"
    }
  ],
  "summary": "Security fix for CVE-2026-42557 applied in: tensorflow-gpu-jupyter 2.21.0-r5",
  "upstream": [
    "CVE-2026-42557"
  ]
}

CLEANSTART-2026-GG76429 (GHSA-RCH3-82JR-F9W9)

Vulnerability from cleanstart – Published: 2026-07-30 07:10 – Updated: 2026-09-18 11:59 – Source website

Withdrawn 2026-09-18

Summary

Security fixes in tensorflow-gpu-jupyter 2.21.0-r5

Details

Package tensorflow-gpu-jupyter version 2.21.0-r5 fixes 28 vulnerabilities: ghsa-rch3-82jr-f9w9, ghsa-mqcg-5x36-vfcg, ghsa-37w4-hwhx-4rc4, ghsa-mf9v-mfxr-j63j, ghsa-5mrq-x3x5-8v8f...

References

URL

Type

https://tensorflow.org

WEB

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "CleanStart",
        "name": "tensorflow-gpu-jupyter"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.21.0-r5"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.21.0-r5"
      ]
    }
  ],
  "credits": [],
  "database_specific": {},
  "details": "Package tensorflow-gpu-jupyter version 2.21.0-r5 fixes 28 vulnerabilities: ghsa-rch3-82jr-f9w9, ghsa-mqcg-5x36-vfcg, ghsa-37w4-hwhx-4rc4, ghsa-mf9v-mfxr-j63j, ghsa-5mrq-x3x5-8v8f...",
  "id": "CLEANSTART-2026-GG76429",
  "modified": "2026-09-18T11:59:01.768079Z",
  "published": "2026-07-30T07:10:53Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://tensorflow.org"
    }
  ],
  "related": [],
  "schema_version": "1.7.3",
  "summary": "Security fixes in tensorflow-gpu-jupyter 2.21.0-r5",
  "upstream": [
    "ghsa-rch3-82jr-f9w9",
    "ghsa-mqcg-5x36-vfcg",
    "ghsa-37w4-hwhx-4rc4",
    "ghsa-mf9v-mfxr-j63j",
    "ghsa-5mrq-x3x5-8v8f",
    "ghsa-5789-5fc7-67v3",
    "ghsa-qccp-gfcp-xxvc",
    "ghsa-24qx-w28j-9m6p",
    "ghsa-8mp2-v27r-99xp",
    "ghsa-qh7q-6qm3-653w",
    "ghsa-65pc-fj4g-8rjx",
    "ghsa-6269-cqxg-mhhv",
    "ghsa-ccfx-mfmx-2fx9",
    "ghsa-v87v-83h2-53w7",
    "CVE-2026-45409",
    "CVE-2026-35397",
    "CVE-2026-40110",
    "CVE-2026-40934",
    "CVE-2025-61669",
    "CVE-2026-40171",
    "CVE-2026-42266",
    "CVE-2026-42557",
    "CVE-2026-33079",
    "CVE-2026-44897",
    "CVE-2026-44898",
    "CVE-2026-44899",
    "CVE-2026-44431",
    "CVE-2026-44432"
  ],
  "withdrawn": "2026-09-18T11:59:01.768079Z"
}

FKIE_CVE-2026-42557

Vulnerability from fkie_nvd - Published: 2026-05-13 16:16 - Updated: 2026-10-25 23:10

Severity

9.6 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Summary

References

URL	Tags
security-advisories@github.com	https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-mqcg-5x36-vfcg	Mitigation, Vendor Advisory
0b0ca135-0b70-47e7-9f44-1890c2a1c46c	https://access.redhat.com/errata/RHSA-2026:43038
0b0ca135-0b70-47e7-9f44-1890c2a1c46c	https://access.redhat.com/errata/RHSA-2026:60520
0b0ca135-0b70-47e7-9f44-1890c2a1c46c	https://access.redhat.com/security/cve/CVE-2026-42557
0b0ca135-0b70-47e7-9f44-1890c2a1c46c	https://bugzilla.redhat.com/show_bug.cgi?id=2477086
0b0ca135-0b70-47e7-9f44-1890c2a1c46c	https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-42557.json

Impacted products

	Vendor	Product	Version
	jupyter	jupyterlab	*
	jupyter	notebook	*

JSON

To clipboard

{
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      "affectedData": [
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          "product": "jupyterlab",
          "vendor": "jupyterlab",
          "versions": [
            {
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            }
          ]
        },
        {
          "product": "notebook",
          "vendor": "jupyter",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 7.0.0, \u003c 7.5.6"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    },
    {
      "affectedData": [
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          "cpes": [
            "cpe:/a:redhat:migration_toolkit_applications:8.2::el9"
          ],
          "defaultStatus": "affected",
          "packageName": "mta/mta-solution-server-rhel9",
          "product": "Red Hat Migration Toolkit for Applications 8.2",
          "vendor": "Red Hat",
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          "product": "Red Hat OpenShift AI 3.4",
          "vendor": "Red Hat",
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              "lessThan": "*",
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              "version": "1787076778",
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          ]
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        {
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          ]
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      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c"
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  "configurations": [
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      "nodes": [
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          "cpeMatch": [
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              "matchCriteriaId": "4291C4EF-367D-4018-B3B1-0526EC7DA336",
              "versionEndExcluding": "4.5.7",
              "vulnerable": true
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          "negate": false,
          "operator": "OR"
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  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "jupyterlab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. Prior to 4.5.7, JupyterLab\u0027s HTML sanitizer allowlists data-commandlinker-command and data-commandlinker-args on button elements, while CommandLinker listens for all click events on document.body and executes the named command without checking whether the element came from trusted JupyterLab UI. A notebook with a pre-saved HTML cell output containing a deceptive button can trigger arbitrary JupyterLab commands - including arbitrary code execution - on a single user click, without any code being submitted for execution by the user. This vulnerability is fixed in 4.5.7."
    },
    {
      "lang": "es",
      "value": "jupyterlab es un entorno extensible para computaci\u00f3n interactiva y reproducible, basado en la Arquitectura de Jupyter Notebook. Antes de la versi\u00f3n 4.5.7, el saneador HTML de JupyterLab permite data-commandlinker-command y data-commandlinker-args en elementos de bot\u00f3n, mientras que CommandLinker escucha todos los eventos de clic en document.body y ejecuta el comando nombrado sin verificar si el elemento provino de la interfaz de usuario (UI) confiable de JupyterLab. Un cuaderno con una salida de celda HTML preguardada que contiene un bot\u00f3n enga\u00f1oso puede activar comandos arbitrarios de JupyterLab - incluyendo ejecuci\u00f3n de c\u00f3digo arbitrario - con un solo clic del usuario, sin que el usuario env\u00ede ning\u00fan c\u00f3digo para su ejecuci\u00f3n. Esta vulnerabilidad est\u00e1 corregida en la versi\u00f3n 4.5.7."
    }
  ],
  "id": "CVE-2026-42557",
  "lastModified": "2026-10-25T23:10:00.167",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
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          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.6,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H",
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          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
          "version": "3.1"
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        "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
        "type": "Secondary"
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    "cvssMetricV40": [
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          "Recovery": "NOT_DEFINED",
          "Safety": "NOT_DEFINED",
          "attackComplexity": "LOW",
          "attackRequirements": "NONE",
          "attackVector": "NETWORK",
          "availabilityRequirement": "NOT_DEFINED",
          "baseScore": 8.6,
          "baseSeverity": "HIGH",
          "confidentialityRequirement": "NOT_DEFINED",
          "exploitMaturity": "NOT_DEFINED",
          "integrityRequirement": "NOT_DEFINED",
          "modifiedAttackComplexity": "NOT_DEFINED",
          "modifiedAttackRequirements": "NOT_DEFINED",
          "modifiedAttackVector": "NOT_DEFINED",
          "modifiedPrivilegesRequired": "NOT_DEFINED",
          "modifiedSubAvailabilityImpact": "NOT_DEFINED",
          "modifiedSubConfidentialityImpact": "NOT_DEFINED",
          "modifiedSubIntegrityImpact": "NOT_DEFINED",
          "modifiedUserInteraction": "NOT_DEFINED",
          "modifiedVulnAvailabilityImpact": "NOT_DEFINED",
          "modifiedVulnConfidentialityImpact": "NOT_DEFINED",
          "modifiedVulnIntegrityImpact": "NOT_DEFINED",
          "privilegesRequired": "NONE",
          "providerUrgency": "NOT_DEFINED",
          "subAvailabilityImpact": "NONE",
          "subConfidentialityImpact": "NONE",
          "subIntegrityImpact": "NONE",
          "userInteraction": "ACTIVE",
          "valueDensity": "NOT_DEFINED",
          "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/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",
          "version": "4.0",
          "vulnAvailabilityImpact": "HIGH",
          "vulnConfidentialityImpact": "HIGH",
          "vulnIntegrityImpact": "HIGH",
          "vulnerabilityResponseEffort": "NOT_DEFINED"
        },
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-42557",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-05-14T17:57:35.710941Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-05-13T16:16:48.167",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Mitigation",
        "Vendor Advisory"
      ],
      "url": "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-mqcg-5x36-vfcg"
    },
    {
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
      "url": "https://access.redhat.com/errata/RHSA-2026:43038"
    },
    {
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
      "url": "https://access.redhat.com/errata/RHSA-2026:60520"
    },
    {
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
      "url": "https://access.redhat.com/security/cve/CVE-2026-42557"
    },
    {
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2477086"
    },
    {
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-42557.json"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-79"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    },
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-79"
        }
      ],
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
      "type": "Secondary"
    }
  ]
}

GHSA-MQCG-5X36-VFCG

Vulnerability from github – Published: 2026-05-06 21:43 – Updated: 2026-06-09 10:59

Summary

JupyterLab's command linker attributes in HTML enable one-click command execution from untrusted content

Details

Impact

Single-click impact

The arbitrary code execution will be immediately visible to the user; and can be halted by the timely user intervention. The deletion of files can be silent and go unnoticed for some time.

Multi-click attacks

The execution of commands in the terminal would be immediately visible to the user.

Impact of third-party extensions

Patches

JupyterLab 4.5.7

Workarounds

No workarounds are available for end-users.

Hardening

The patched versions include a toggle to disable the command linker functionality altogether, for example via overrides.json:

{
  "@jupyterlab/apputils-extension:sanitizer": {
    "allowCommandLinker": false
  }
}

Resources

https://jupyterlab.readthedocs.io/en/latest/user/commands.html#commands-in-markdown-files

Severity

9.6 (Critical)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H

8.6 (High)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 4.5.6"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "jupyterlab"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "4.5.7"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 7.5.5"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "notebook"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "7.0.0"
            },
            {
              "fixed": "7.5.6"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-42557"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-05-06T21:43:44Z",
    "nvd_published_at": "2026-05-13T16:16:48Z",
    "severity": "HIGH"
  },
  "details": "JupyterLab\u0027s HTML sanitizer allowlists `data-commandlinker-command` and `data-commandlinker-args` on `button` elements, while `CommandLinker` listens for all click events on `document.body` and executes the named command without checking whether the element came from trusted JupyterLab UI. A notebook with a pre-saved HTML cell output containing a deceptive button can trigger arbitrary JupyterLab commands - including arbitrary code execution - on a single user click, without any code being submitted for execution by the user.\n\n### Impact\n\nAn attacker who shares a notebook or a Markdown file - via email, GitHub, or a Binder link - can invoke an arbitrary command upon a single click by the victim. The button can be rendered inside the output area and be visually indistinguishable from a legitimate widget. No kernel needs to start; the HTML output is stored in the notebook file and displayed immediately on open.\n\n#### Single-click impact\n\nAn attacker convincing the victim to click on a single button or link can:\n- execute arbitrary code in the available kernels,\n- delete files leading to information loss; in principle the loss could be unrecoverable, depending on server configuration and attack complexity,\n- open multiple kernels/terminals at once, or create multiple files at once, putting significant stress on the server and thus deny availability for other users when using standalone multi-tenant jupyter-server deployment, and to a lesser degree impact availability on JupyterHub deployments.\n\nThe arbitrary code execution will be immediately visible to the user; and can be halted by the timely user intervention. The deletion of files can be silent and go unnoticed for some time.\n\n#### Multi-click attacks\n\nAn attacker who convinces the victim to click on multiple buttons in specific order and to grant access to clipboard (or in scenarios where the user already granted keyboard access) can obtain full access to the terminal and execute arbitrary commands in the environment with access scope that might exceed that of available kernels. Only users of Chromium-based browsers are susceptible to this expanded variant of the attack.\n\nThe execution of commands in the terminal would be immediately visible to the user.\n\n#### Impact of third-party extensions\n\nThe impact described above assumes a plain JupyterLab/Notebook installation. In environments with frontend extensions that contribute additional commands the attack surface is increased by the functionality covered by these commands.\n\n### Patches\n\nJupyterLab 4.5.7\n\n### Workarounds\n\nNo workarounds are available for end-users.\n\nDownstream applications inheriting from `JupyterFrontEnd` or `JupyterLab` can effectively disable the `CommandLinker` by passing `commandLinker: new CommandLinker({ commands: new CommandRegistry() })` option in the initialization options.\n\n### Hardening\n\nThe patched versions include a toggle to disable the command linker functionality altogether, for example via `overrides.json`:\n\n```json\n{\n  \"@jupyterlab/apputils-extension:sanitizer\": {\n    \"allowCommandLinker\": false\n  }\n}\n```\n\n### Resources\n\n- https://jupyterlab.readthedocs.io/en/latest/user/commands.html#commands-in-markdown-files",
  "id": "GHSA-mqcg-5x36-vfcg",
  "modified": "2026-06-09T10:59:57Z",
  "published": "2026-05-06T21:43:44Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-mqcg-5x36-vfcg"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-42557"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/jupyterlab/jupyterlab"
    },
    {
      "type": "WEB",
      "url": "https://jupyterlab.readthedocs.io/en/latest/user/commands.html#commands-in-markdown-files"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "JupyterLab\u0027s command linker attributes in HTML enable one-click command execution from untrusted content"
}

MSRC_CVE-2026-42557

Vulnerability from csaf_microsoft - Published: 2026-11-13 20:47 - Updated: 2026-11-13 20:47

Summary

jupyterlab: Command linker attributes in HTML enable one-click command execution from untrusted content

Scope

1 vulnerability in this advisory, including CVE-2026-42557.

CVE-2026-42557

Known affected: 1 product

Open the full advisory

OPENSUSE-SU-2026:10748-1

Vulnerability from csaf_opensuse - Published: 2026-05-11 00:00 - Updated: 2026-09-17 17:04

Summary

jupyter-jupyterlab-4.5.7-1.1 on GA media

Severity

Moderate

Scope

3 vulnerabilities in this advisory, including CVE-2026-42557.

CVE-2026-42557

9.6 (Critical)


                
                  CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H

Recommended: 16 products

Open the full advisory

OPENSUSE-SU-2026:10749-1

Vulnerability from csaf_opensuse - Published: 2026-05-11 00:00 - Updated: 2026-09-17 17:04

Summary

jupyter-notebook-7.5.6-1.1 on GA media

Severity

Moderate

Scope

2 vulnerabilities in this advisory, including CVE-2026-42557.

CVE-2026-42557

9.6 (Critical)


                
                  CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H

Recommended: 16 products

Open the full advisory

PYSEC-2026-2537

Vulnerability from pysec - Published: 2026-07-13 15:15 - Updated: 2026-07-13 16:04

Details

Impact

Single-click impact

The arbitrary code execution will be immediately visible to the user; and can be halted by the timely user intervention. The deletion of files can be silent and go unnoticed for some time.

Multi-click attacks

The execution of commands in the terminal would be immediately visible to the user.

Impact of third-party extensions

Patches

JupyterLab 4.5.7

Workarounds

No workarounds are available for end-users.

Hardening

The patched versions include a toggle to disable the command linker functionality altogether, for example via overrides.json:

{
  "@jupyterlab/apputils-extension:sanitizer": {
    "allowCommandLinker": false
  }
}

Resources

https://jupyterlab.readthedocs.io/en/latest/user/commands.html#commands-in-markdown-files

Severity

9.6 (Critical)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H

8.6 (High)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Impacted products

Name	purl
jupyterlab	pkg:pypi/jupyterlab

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "jupyterlab",
        "purl": "pkg:pypi/jupyterlab"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "4.5.7"
            }
          ],
          "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",
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        "0.20.0rc1",
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        "0.20.3",
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      ]
    }
  ],
  "aliases": [
    "CVE-2026-42557",
    "GHSA-mqcg-5x36-vfcg"
  ],
  "details": "JupyterLab\u0027s HTML sanitizer allowlists `data-commandlinker-command` and `data-commandlinker-args` on `button` elements, while `CommandLinker` listens for all click events on `document.body` and executes the named command without checking whether the element came from trusted JupyterLab UI. A notebook with a pre-saved HTML cell output containing a deceptive button can trigger arbitrary JupyterLab commands - including arbitrary code execution - on a single user click, without any code being submitted for execution by the user.\n\n### Impact\n\nAn attacker who shares a notebook or a Markdown file - via email, GitHub, or a Binder link - can invoke an arbitrary command upon a single click by the victim. The button can be rendered inside the output area and be visually indistinguishable from a legitimate widget. No kernel needs to start; the HTML output is stored in the notebook file and displayed immediately on open.\n\n#### Single-click impact\n\nAn attacker convincing the victim to click on a single button or link can:\n- execute arbitrary code in the available kernels,\n- delete files leading to information loss; in principle the loss could be unrecoverable, depending on server configuration and attack complexity,\n- open multiple kernels/terminals at once, or create multiple files at once, putting significant stress on the server and thus deny availability for other users when using standalone multi-tenant jupyter-server deployment, and to a lesser degree impact availability on JupyterHub deployments.\n\nThe arbitrary code execution will be immediately visible to the user; and can be halted by the timely user intervention. The deletion of files can be silent and go unnoticed for some time.\n\n#### Multi-click attacks\n\nAn attacker who convinces the victim to click on multiple buttons in specific order and to grant access to clipboard (or in scenarios where the user already granted keyboard access) can obtain full access to the terminal and execute arbitrary commands in the environment with access scope that might exceed that of available kernels. Only users of Chromium-based browsers are susceptible to this expanded variant of the attack.\n\nThe execution of commands in the terminal would be immediately visible to the user.\n\n#### Impact of third-party extensions\n\nThe impact described above assumes a plain JupyterLab/Notebook installation. In environments with frontend extensions that contribute additional commands the attack surface is increased by the functionality covered by these commands.\n\n### Patches\n\nJupyterLab 4.5.7\n\n### Workarounds\n\nNo workarounds are available for end-users.\n\nDownstream applications inheriting from `JupyterFrontEnd` or `JupyterLab` can effectively disable the `CommandLinker` by passing `commandLinker: new CommandLinker({ commands: new CommandRegistry() })` option in the initialization options.\n\n### Hardening\n\nThe patched versions include a toggle to disable the command linker functionality altogether, for example via `overrides.json`:\n\n```json\n{\n  \"@jupyterlab/apputils-extension:sanitizer\": {\n    \"allowCommandLinker\": false\n  }\n}\n```\n\n### Resources\n\n- https://jupyterlab.readthedocs.io/en/latest/user/commands.html#commands-in-markdown-files",
  "id": "PYSEC-2026-2537",
  "modified": "2026-07-13T16:04:23.862798Z",
  "published": "2026-07-13T15:15:39.737676Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-mqcg-5x36-vfcg"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-42557"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/jupyterlab/jupyterlab"
    },
    {
      "type": "WEB",
      "url": "https://jupyterlab.readthedocs.io/en/latest/user/commands.html#commands-in-markdown-files"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/jupyterlab"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-mqcg-5x36-vfcg"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "JupyterLab\u0027s command linker attributes in HTML enable one-click command execution from untrusted content"
}

Solutions

ADP · redhat-SADP

RHSA-2026:43038: Red Hat Migration Toolkit for Applications 8.2

RHSA-2026:60520: Red Hat OpenShift AI 3.4

Workarounds

ADP · redhat-SADP

Users should avoid opening or interacting with JupyterLab notebooks from untrusted sources. Exercise caution and verify the origin of any notebook before clicking buttons within its output, as this action could lead to the execution of arbitrary commands.

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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

Order JSON

How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

Action not permitted

CVE-2026-42557 (GCVE-0-2026-42557)

bit-jupyterlab-2026-42557

Vulnerability from bitnami_vulndb

BREW-JUPYTERLAB-CVE-2026-42557 (GHSA-MQCG-5X36-VFCG)

Impact

Single-click impact

Multi-click attacks

Impact of third-party extensions

Patches

Workarounds

Hardening

Resources

CLEANSTART-2026-CB04703 (CVE-2026-42557)

CLEANSTART-2026-GG76429 (GHSA-RCH3-82JR-F9W9)

FKIE_CVE-2026-42557

GHSA-MQCG-5X36-VFCG

Impact

Single-click impact

Multi-click attacks

Impact of third-party extensions

Patches

Workarounds

Hardening

Resources

MSRC_CVE-2026-42557

OPENSUSE-SU-2026:10748-1

OPENSUSE-SU-2026:10749-1

PYSEC-2026-2537

Impact

Single-click impact

Multi-click attacks

Impact of third-party extensions

Patches

Workarounds

Hardening

Resources

Solutions

Workarounds

Tags

Sightings

Nomenclature

Vulnerability timeline

Related by attack behaviour