BREW-MCP-ATLASSIAN-CVE-2… (GHSA-JQ4V-F5Q6-MJQQ)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:13 – Updated: 2026-09-10 00:30 – Source website
VLAI
Summary
lxml vulnerable to Cross-Site Scripting
Details
An XSS vulnerability was discovered in the python lxml clean module versions before 4.6.3. When disabling the safe_attrs_only and forms arguments, the Cleaner class does not remove the formaction attribute allowing for JS to bypass the sanitizer. A remote attacker could exploit this flaw to run arbitrary JS code on users who interact with incorrectly sanitized HTML. This issue is patched in lxml 4.6.3.
Severity
6.1 (Medium)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "lxml",
"resource_purl": "pkg:pypi/lxml@6.1.1",
"upstream_fixed_in": "4.6.3"
},
"package": {
"ecosystem": "Homebrew",
"name": "mcp-atlassian",
"purl": "pkg:brew/mcp-atlassian"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.23.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/lxml@6.1.1",
"name": "lxml",
"resource": "lxml",
"strategy": "registry",
"subject_version": "6.1.1"
}
]
},
"details": "An XSS vulnerability was discovered in the python `lxml` clean module versions before 4.6.3. When disabling `the safe_attrs_only` and `forms` arguments, the `Cleaner` class does not remove the `formaction` attribute allowing for JS to bypass the sanitizer. A remote attacker could exploit this flaw to run arbitrary JS code on users who interact with incorrectly sanitized HTML. This issue is patched in `lxml` 4.6.3.",
"id": "BREW-mcp-atlassian-CVE-2021-28957",
"modified": "2026-09-10T00:30:25Z",
"published": "2026-08-13T17:13:13Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-28957"
},
{
"type": "WEB",
"url": "https://github.com/lxml/lxml/pull/316"
},
{
"type": "WEB",
"url": "https://github.com/lxml/lxml/pull/316/commits/10ec1b4e9f93713513a3264ed6158af22492f270"
},
{
"type": "WEB",
"url": "https://github.com/lxml/lxml/commit/2d01a1ba8984e0483ce6619b972832377f208a0d"
},
{
"type": "WEB",
"url": "https://github.com/lxml/lxml/commit/a5f9cb52079dc57477c460dbe6ba0f775e14a999"
},
{
"type": "WEB",
"url": "https://www.oracle.com/security-alerts/cpuoct2021.html"
},
{
"type": "WEB",
"url": "https://www.debian.org/security/2021/dsa-4880"
},
{
"type": "WEB",
"url": "https://security.netapp.com/advisory/ntap-20210521-0004"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/202208-06"
},
{
"type": "WEB",
"url": "https://pypi.org/project/lxml"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/XXN3QPWCTQVOGW4BMWV3AUUZZ4NRZNSQ"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/3C2R44VDUY7FJVMAVRZ2WY7XYL4SVN45"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2021/03/msg00031.html"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/lxml/PYSEC-2021-19.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/lxml/lxml"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-jq4v-f5q6-mjqq"
},
{
"type": "WEB",
"url": "https://bugs.launchpad.net/lxml/+bug/1888153"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/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:P/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N",
"type": "CVSS_V4"
}
],
"summary": "lxml vulnerable to Cross-Site Scripting ",
"upstream": [
"GHSA-jq4v-f5q6-mjqq",
"CVE-2021-28957",
"PYSEC-2021-19"
]
}
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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.
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- 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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