GSD-2018-19787
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
An issue was discovered in lxml before 4.2.5. lxml/html/clean.py in the lxml.html.clean module does not remove javascript: URLs that use escaping, allowing a remote attacker to conduct XSS attacks, as demonstrated by "j a v a s c r i p t:" in Internet Explorer. This is a similar issue to CVE-2014-3146.
Aliases
Aliases
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"alias": "CVE-2018-19787",
"description": "An issue was discovered in lxml before 4.2.5. lxml/html/clean.py in the lxml.html.clean module does not remove javascript: URLs that use escaping, allowing a remote attacker to conduct XSS attacks, as demonstrated by \"j a v a s c r i p t:\" in Internet Explorer. This is a similar issue to CVE-2014-3146.",
"id": "GSD-2018-19787",
"references": [
"https://www.suse.com/security/cve/CVE-2018-19787.html",
"https://ubuntu.com/security/CVE-2018-19787",
"https://advisories.mageia.org/CVE-2018-19787.html"
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"modified": "2023-12-13T01:22:38.684410Z",
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"cwe_ids": [
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],
"date": "2018-12-31",
"description": "`lxml/html/clean.py` in the `lxml.html.clean` module does not remove javascript: URLs that use escaping, allowing a remote attacker to conduct XSS attacks, as demonstrated by \"j a v a s c r i p t:\" in Internet Explorer. This is a similar issue to CVE-2014-3146.",
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"pubdate": "2018-12-02",
"solution": "Upgrade to fixed version.",
"title": "Cross-site Scripting",
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"lastModifiedDate": "2020-11-26T21:15Z",
"publishedDate": "2018-12-02T10:29Z"
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}
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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 |
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Nomenclature
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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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