CVE-2026-102830: JupyterLab Cross-Site Scripting Vulnerability
MODERATECVE-2026-102830 is a MODERATE (CVSS 6.8) cross-site scripting vulnerability (CWE-94: Improper Control of Generation of Code ('Code Injection')) affecting JupyterLab libraries in the PyPI ecosystem. The issue involves cross-site scripting (xss) in jupyterlab via crafted language package (jupyterlab.json). Remediation is available by upgrading affected packages to version 4.6.4, 4.5.11, 0.8.4.
CVE-2026-102830 at a Glance
Security Impact
CVSS: 6.8
The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:N).
How to Fix CVE-2026-102830
To remediate this vulnerability, upgrade all affected JupyterLab dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.
pip install jupyterlab>=4.6.4
pip install jupyterlab>=4.5.11
pip install jupyterlite-core>=0.8.4
Run the following command in your project directory to verify that all resolved dependencies use the patched release:
pip show jupyterlab
How to Check if You Are Affected
To determine whether your Python environment is affected by CVE-2026-102830, inspect your installed packages using pip:
pip show jupyterlab
Analyze the terminal output to locate any version of JupyterLab in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 4.6.4), your application is affected.
Note: The pip show jupyterlab command checks currently installed packages in your active Python environment.
Technical Details
Vulnerability Mechanism & Technical Analysis
This vulnerability is classified under CWE-94: Improper Control of Generation of Code ('Code Injection'), where the product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. In JupyterLab, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.
Source Advisory Statement
CVE-2026-102830 Affected JupyterLab Versions
3 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
jupyterlab
|
PyPI |
≥ 4.6.0
< 4.6.4
|
4.6.4
|
|
jupyterlab
|
PyPI |
≥ 3.0.0
< 4.5.11
|
4.5.11
|
|
jupyterlite-core
|
PyPI |
< 0.8.4
|
0.8.4
|
References
Frequently Asked Questions
What is CVE-2026-102830?
Which JupyterLab versions are affected?
What version fixes CVE-2026-102830?
Is jupyterlab affected?
Is jupyterlite-core affected?
What is the CVSS score of CVE-2026-102830?
What CWE is associated with CVE-2026-102830?
How can I check PyPI dependencies for CVE-2026-102830?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-3jqq-pw4j-pqcj",
"modified" : "2026-10-01T15:22:17Z",
"published" : "2026-10-01T15:22:17Z",
"aliases" : [ "CVE-2026-102830" ],
"summary" : "JupyterLab: Cross-site scripting (XSS) in JupyterLab via crafted language package (jupyterlab.json)",
"details" : "## Description\n\nA language pack ships a `Plural-Forms` header saying how the language counts, for example `nplurals=2; plural=(n != 1);`. JupyterLab turns that string into a function with `new Function`, so the header gets executed. The check that meant to keep it safe was a regular expression. The regex was anchored at the start but not at the end, so it accepted any string that began with a valid plural rule and ignored everything after it.\n\nA header such as the following passed the check, and the part after the plural rule ran in the JupyterLab page as soon as the first plural string was translated:\n\n```\nnplurals=2; plural=(n > 1); <anything here ran as JavaScript>\n```\n\nUsers are affected if all of the following are true:\n\n- they run JupyterLab 3.0.0 through 4.6.3, or an application that bundles it such as Notebook 7;\n- a language pack they did not write is installed in the environment; and\n- that language is selected, so its catalogue is loaded\n\nAn installation using the default English locale loads no catalogue and is not affected.\n\n> CVE assignment pending, GitHub CNA is experiencing severe backlog\n\n### Impact\n\nThe code in the header ran in the JupyterLab page, in the same origin and session as the authenticated user. It could call the Jupyter Server REST API as that user: read and write any file under the server root, start a kernel and run code in it, and open a terminal where terminals are enabled. Nothing had to be clicked; translating one plural string was enough, and that happens during normal use of the interface.\n\nWhat this changes is who has to be trusted. A language pack is a Python package, and installing one is already a privileged act, so an attacker who can get any package installed has server-side code execution regardless of this issue. The header is different because it is catalogue metadata: it travels with translation content, through the [translation pipeline](https://jupyterlab.readthedocs.io/en/latest/developer/internationalization.html) that carries strings from Crowdin into the language packs, and it is reviewed as text rather than as code. Anyone able to change a catalogue, or to publish a pack under a name someone installs, got JavaScript execution in every browser that selected that language.\n\nNote: the impact is much more limited on JupyterLite which typically does not have access to most of the surfaces that this flaw exposes.\n\n### Patches\n\nJupyterLab [`v4.6.4`](https://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.4) and [`v4.5.11`](https://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.11) contain the patch. The check now has to match the whole header, so a plural rule followed by anything else is rejected and no function is built from it.\n\nJupyterLab 3.x reached end of life and receives no patch. Its users should move to a supported 4.x release.\n\nUsers of applications that depend on JupyterLab, such as Notebook v7+, should update `jupyterlab` package too.\n\n### Workarounds\n\nUse the English locale, which loads no catalogue:\n\n```bash\njupyter lab --LabApp.default_locale=en\n```\n\nor the following traitlet:\n\n```python\nc.LabApp.default_locale = 'en'\n```\n\nEveryone then sees the interface in English, whatever language they had selected.\n\nTo check what is installed instead of switching, report any pack whose header carries more than a plural rule:\n\n```bash\npython -c \"\nimport re\nfrom jupyterlab_server.translation_utils import get_language_packs, get_language_pack\nok = re.compile(r'\\s*nplurals\\s*=\\s*\\d+\\s*;\\s*plural\\s*=[\\s\\-?|&=!<>+*/%:;n0-9_()]+')\npacks, _ = get_language_packs()\nfor locale in packs:\n data, _ = get_language_pack(locale)\n for domain, catalog in (data or {}).items():\n header = catalog.get('', {}).get('plural_forms')\n if header and not ok.fullmatch(header):\n print('SUSPECT', locale, domain, repr(header))\n\"\n```\n\nThe command prints nothing when every catalogue is sound. A line of output names the pack to remove.",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:N"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "jupyterlab"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "4.6.0"
}, {
"fixed" : "4.6.4"
} ]
} ],
"database_specific" : {
"last_known_affected_version_range" : "<= 4.6.3"
}
}, {
"package" : {
"ecosystem" : "PyPI",
"name" : "jupyterlab"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "3.0.0"
}, {
"fixed" : "4.5.11"
} ]
} ],
"database_specific" : {
"last_known_affected_version_range" : "<= 4.5.10"
}
}, {
"package" : {
"ecosystem" : "PyPI",
"name" : "jupyterlite-core"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
}, {
"fixed" : "0.8.4"
} ]
} ],
"database_specific" : {
"last_known_affected_version_range" : "<= 0.8.3"
}
} ],
"references" : [ {
"type" : "WEB",
"url" : "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-3jqq-pw4j-pqcj"
}, {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2026-102830"
}, {
"type" : "WEB",
"url" : "https://github.com/jupyterlab/jupyterlab/commit/985a3223cd77fd4f991cd90066342a90711d70f6"
}, {
"type" : "WEB",
"url" : "https://github.com/jupyterlab/jupyterlab/commit/de324ae91346c713c4f5e5485f97b6e914e0f774"
}, {
"type" : "WEB",
"url" : "https://github.com/jupyterlab/jupyterlab/commit/f9de43dc565a1118120d466117f877a189a4ce90"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/jupyterlab/jupyterlab"
}, {
"type" : "WEB",
"url" : "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.11"
}, {
"type" : "WEB",
"url" : "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.4"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-625", "CWE-79", "CWE-94" ],
"severity" : "MODERATE",
"github_reviewed" : true,
"github_reviewed_at" : "2026-10-01T15:22:17Z",
"nvd_published_at" : "2026-09-29T19:17:25Z"
}
}