BREW-CERTSYNC-CVE-2016-10516 (GHSA-H2FP-XGX6-XH6F)
Vulnerability from osv_homebrew – Published: 2026-08-13 16:39 – Updated: 2026-09-09 23:45 – Source website
VLAI
Summary
Pallets Werkzeug cross-site scripting vulnerability
Details
Cross-site scripting (XSS) vulnerability in the render_full function in debug/tbtools.py in the debugger in Pallets Werkzeug before 0.11.11 (as used in Pallets Flask and other products) allows remote attackers to inject arbitrary web script or HTML via a field that contains an exception message.
Severity
6.1 (Medium)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "werkzeug",
"resource_purl": "pkg:pypi/werkzeug@3.1.8",
"upstream_fixed_in": "0.11.11"
},
"package": {
"ecosystem": "Homebrew",
"name": "certsync",
"purl": "pkg:brew/certsync"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.1.6_11"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/werkzeug@3.1.8",
"name": "werkzeug",
"resource": "werkzeug",
"strategy": "registry",
"subject_version": "3.1.8"
}
]
},
"details": "Cross-site scripting (XSS) vulnerability in the render_full function in debug/tbtools.py in the debugger in Pallets Werkzeug before 0.11.11 (as used in Pallets Flask and other products) allows remote attackers to inject arbitrary web script or HTML via a field that contains an exception message.",
"id": "BREW-certsync-CVE-2016-10516",
"modified": "2026-09-09T23:45:59Z",
"published": "2026-08-13T16:39:03Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2016-10516"
},
{
"type": "WEB",
"url": "https://github.com/pallets/werkzeug/pull/1001"
},
{
"type": "WEB",
"url": "https://github.com/pallets/werkzeug/commit/1034edc7f901dd645ec6e462754111b39002bd65"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-h2fp-xgx6-xh6f"
},
{
"type": "PACKAGE",
"url": "https://github.com/pallets/werkzeug"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/werkzeug/PYSEC-2017-43.yaml"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2017/11/msg00037.html"
},
{
"type": "WEB",
"url": "http://blog.neargle.com/2016/09/21/flask-src-review-get-a-xss-from-debuger"
}
],
"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"
}
],
"summary": "Pallets Werkzeug cross-site scripting vulnerability",
"upstream": [
"GHSA-h2fp-xgx6-xh6f",
"CVE-2016-10516",
"PYSEC-2017-43"
]
}
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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.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- 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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