BREW-JUPYTERLAB-CVE-2018-19352 (GHSA-3P4Q-X8F3-P7VQ)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:01 – Updated: 2026-09-16 09:20 – Source website
VLAI
Summary
Jupyter Notebook XSS via directory name
Details
Jupyter Notebook before 5.7.2 allows XSS via a crafted directory name because notebook/static/tree/js/notebooklist.js handles certain URLs unsafely.
Severity
6.1 (Medium)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "notebook",
"resource_purl": "pkg:pypi/notebook@7.6.2",
"upstream_fixed_in": "5.7.2"
},
"package": {
"ecosystem": "Homebrew",
"name": "jupyterlab",
"purl": "pkg:brew/jupyterlab"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "4.6.3"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/notebook@7.6.2",
"name": "notebook",
"resource": "notebook",
"strategy": "registry",
"subject_version": "7.6.2"
}
]
},
"details": "Jupyter Notebook before 5.7.2 allows XSS via a crafted directory name because notebook/static/tree/js/notebooklist.js handles certain URLs unsafely.",
"id": "BREW-jupyterlab-CVE-2018-19352",
"modified": "2026-09-16T09:20:59Z",
"published": "2026-08-13T17:01:18Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-19352"
},
{
"type": "WEB",
"url": "https://github.com/jupyter/notebook/commit/288b73e1edbf527740e273fcc69b889460871648"
},
{
"type": "PACKAGE",
"url": "https://github.com/jupyter/notebook"
},
{
"type": "WEB",
"url": "https://github.com/jupyter/notebook/blob/master/docs/source/changelog.rst"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/notebook/PYSEC-2018-18.yaml"
},
{
"type": "WEB",
"url": "https://pypi.org/project/notebook/#history"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Jupyter Notebook XSS via directory name",
"upstream": [
"GHSA-3p4q-x8f3-p7vq",
"CVE-2018-19352",
"PYSEC-2018-18"
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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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.
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.
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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.
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