OESA-2026-2008 (CVE-2026-41066)
Vulnerability from osv_openeuler – Published: 2026-04-25 11:11 – Updated: 2026-08-06 11:11 – Source website
VLAI
Summary
python-lxml security update
Details
\
Security Fix(es):
lxml is a library for processing XML and HTML in the Python language. Prior to 6.1.0, using either of the two parsers in the default configuration (with resolve_entities=True) allows untrusted XML input to read local files. Setting the resolve_entities option explicitly to resolve_entities='internal' or resolve_entities=False disables the local file access. This vulnerability is fixed in 6.1.0.(CVE-2026-41066)
Severity
7.5 (High)
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"ecosystem_specific": {
"aarch64": [
"python-lxml-debuginfo-5.1.0-4.oe2403.aarch64.rpm",
"python-lxml-debugsource-5.1.0-4.oe2403.aarch64.rpm",
"python-lxml-help-5.1.0-4.oe2403.aarch64.rpm",
"python3-lxml-5.1.0-4.oe2403.aarch64.rpm"
],
"src": [
"python-lxml-5.1.0-4.oe2403.src.rpm"
],
"x86_64": [
"python-lxml-debuginfo-5.1.0-4.oe2403.x86_64.rpm",
"python-lxml-debugsource-5.1.0-4.oe2403.x86_64.rpm",
"python-lxml-help-5.1.0-4.oe2403.x86_64.rpm",
"python3-lxml-5.1.0-4.oe2403.x86_64.rpm"
]
},
"package": {
"ecosystem": "openEuler:24.03-LTS",
"name": "python-lxml",
"purl": "pkg:rpm/openEuler/python-lxml\u0026distro=openEuler-24.03-LTS"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "5.1.0-4.oe2403"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"severity": "High"
},
"details": "\\\r\n\r\nSecurity Fix(es):\n\nlxml is a library for processing XML and HTML in the Python language. Prior to 6.1.0, using either of the two parsers in the default configuration (with resolve_entities=True) allows untrusted XML input to read local files. Setting the resolve_entities option explicitly to resolve_entities=\u0026apos;internal\u0026apos; or resolve_entities=False disables the local file access. This vulnerability is fixed in 6.1.0.(CVE-2026-41066)",
"id": "OESA-2026-2008",
"modified": "2026-08-06T11:11:00Z",
"published": "2026-04-25T11:11:00Z",
"references": [
{
"type": "ADVISORY",
"url": "https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2026-2008"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-41066"
}
],
"schema_version": "1.7.2",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
],
"summary": "python-lxml security update",
"upstream": [
"CVE-2026-41066"
]
}
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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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