BREW-IPYTHON-CVE-2015-4707 (PYSEC-2017-46)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:00 – Updated: 2026-09-10 00:12 – Source website
VLAI
Details
Cross-site scripting (XSS) vulnerability in IPython before 3.2 allows remote attackers to inject arbitrary web script or HTML via vectors involving JSON error messages and the /api/notebooks path.
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"upstream_fixed_in": "3.2.0"
},
"package": {
"ecosystem": "Homebrew",
"name": "ipython",
"purl": "pkg:brew/ipython"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "9.16.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "git",
"upstream_evidence": [
{
"ecosystem": "GIT",
"key": "https://github.com/ipython/ipython",
"name": "https://github.com/ipython/ipython",
"strategy": "git",
"subject_version": "9.17.1"
},
{
"ecosystem": "PyPI",
"key": "pkg:pypi/ipython@9.17.1",
"name": "ipython",
"strategy": "registry",
"subject_version": "9.17.1"
},
{
"ecosystem": "Debian",
"key": "Debian/ipython",
"name": "ipython",
"strategy": "distro"
},
{
"ecosystem": "GIT",
"key": "upstream:https://github.com/ipython/ipython",
"name": "https://github.com/ipython/ipython",
"strategy": "distro",
"subject_version": "9.17.1"
},
{
"ecosystem": "PyPI",
"key": "upstream:pkg:pypi/ipython@9.17.1",
"name": "ipython",
"strategy": "distro",
"subject_version": "9.17.1"
}
]
},
"details": "Cross-site scripting (XSS) vulnerability in IPython before 3.2 allows remote attackers to inject arbitrary web script or HTML via vectors involving JSON error messages and the /api/notebooks path.",
"id": "BREW-ipython-CVE-2015-4707",
"modified": "2026-09-10T00:12:05Z",
"published": "2026-08-13T17:00:01Z",
"references": [
{
"type": "WEB",
"url": "https://ipython.org/ipython-doc/3/whatsnew/version3.html"
},
{
"type": "FIX",
"url": "https://github.com/ipython/ipython/commit/c2078a53543ed502efd968649fee1125e0eb549c"
},
{
"type": "FIX",
"url": "https://github.com/ipython/ipython/commit/7222bd53ad089a65fd610fab4626f9d0ab47dfce"
},
{
"type": "REPORT",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1235688"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2015/06/22/7"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/75328"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-66gw-5xpf-gfp5"
}
],
"schema_version": "1.7.3",
"upstream": [
"PYSEC-2017-46",
"CVE-2015-4707",
"GHSA-66gw-5xpf-gfp5"
]
}
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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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