CVE-2026-102830 is a medium-severity (CVSS 6.8) Cross-site Scripting (XSS) vulnerability in jupyterlab. A fix is available for jupyterlab — see the affected versions and patch details below.
JupyterLab: Cross-site scripting (XSS) in JupyterLab via crafted language package (jupyterlab.json)
Exploitation Status
No confirmed exploitation observed yet
- A successful exploit gives an attacker total control of the affected component, not partial access.
- CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.
Exploitation and automatability from CISA’s SSVC triage for CVE-2026-102830.
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
How urgent is this, really
CVE-2026-102830 by exploitation likelihood (EPSS) against impact (CVSS). Outside the shaded patch-first corner.
Where this sits among everything scored
Of 394,415 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Counts from FIRST.org, log-scaled.
Real-World Exposure
jupyterlab🐍jupyterlab🐍jupyterlite-coreReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
Description
A 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.
A 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:
nplurals=2; plural=(n > 1); <anything here ran as JavaScript>
Users are affected if all of the following are true:
- they run JupyterLab 3.0.0 through 4.6.3, or an application that bundles it such as Notebook 7;
- a language pack they did not write is installed in the environment; and
- that language is selected, so its catalogue is loaded
An installation using the default English locale loads no catalogue and is not affected.
CVE assignment pending, GitHub CNA is experiencing severe backlog
Impact
The 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.
What 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 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.
Note: the impact is much more limited on JupyterLite which typically does not have access to most of the surfaces that this flaw exposes.
Patches
JupyterLab v4.6.4 and 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.
JupyterLab 3.x reached end of life and receives no patch. Its users should move to a supported 4.x release.
Users of applications that depend on JupyterLab, such as Notebook v7+, should update jupyterlab package too.
Workarounds
Use the English locale, which loads no catalogue:
jupyter lab --LabApp.default_locale=en
or the following traitlet:
c.LabApp.default_locale = 'en'
Everyone then sees the interface in English, whatever language they had selected.
To check what is installed instead of switching, report any pack whose header carries more than a plural rule:
python -c "
import re
from jupyterlab_server.translation_utils import get_language_packs, get_language_pack
ok = re.compile(r'\s*nplurals\s*=\s*\d+\s*;\s*plural\s*=[\s\-?|&=!<>+*/%:;n0-9_()]+')
packs, _ = get_language_packs()
for locale in packs:
data, _ = get_language_pack(locale)
for domain, catalog in (data or {}).items():
header = catalog.get('', {}).get('plural_forms')
if header and not ok.fullmatch(header):
print('SUSPECT', locale, domain, repr(header))
"
The command prints nothing when every catalogue is sound. A line of output names the pack to remove.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | jupyterlab | ≥ 4.6.0&&< 4.6.4 | 4.6.4pip install --upgrade 'jupyterlab==4.6.4' |
| 🐍PyPI | jupyterlab | ≥ 3.0.0&&< 4.5.11 | 4.5.11pip install --upgrade 'jupyterlab==4.5.11' |
| 🐍PyPI | jupyterlite-core | all versions | 0.8.4pip install --upgrade 'jupyterlite-core==0.8.4' |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for jupyterlab, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update jupyterlab to 4.6.4 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-102830 is resolved across your whole dependency graph.
Workarounds
Stop passing untrusted input into the interpreter or shell: call the affected binary with an argument array rather than a composed command string, reject anything outside a strict allowlist of expected values, and run the component under an account that cannot reach beyond the work it legitimately does.
Fixing This On Your OS
If you run this on a Linux distribution, patch through your package manager against the distro's own security advisory below — it tracks the exact backported fix for your release, which can ship on a different timeline (and sometimes a different severity) than the upstream project.
This vulnerability is rated as having Moderate impact because exploitation requires installing an untrusted third-party language pack and explicitly selecting that non-default language locale. In standard Red Hat OpenShift AI (RHOAI) deployments, workbench containers default to the standard English locale, which does…
There are no known mitigations available for this vulnerability at this time. Red Hat recommends applying the available security update once it is released.Source: Red Hat security advisory for CVE-2026-102830 (CC BY 4.0)
Frequently Asked Questions
Is CVE-2026-102830 in your dependencies?
Find it across PyPI, including transitive dependencies.