An effective detection approach for phishing websites using URL and HTML features

Research article (Scientific Reports, 2022) · cited 116× · AI/ML
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An effective detection approach for phishing websites using URL and HTML features

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An effective detection approach for phishing websites using URL and HTML features is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An effective detection approach for phishing websites using URL and HTML features. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-detection-approach-for-phishing-websites-using-url-and-html-features
MLA “An effective detection approach for phishing websites using URL and HTML features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-detection-approach-for-phishing-websites-using-url-and-html-features.
BibTeX @misc{4ortxyz_an-effective-detection-approach-for-phishing-websites-using-url-and-html-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An effective detection approach for phishing websites using URL and HTML features}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-detection-approach-for-phishing-websites-using-url-and-html-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An effective detection approach for phishing websites using URL and HTML features — https://4ort.xyz/entity/an-effective-detection-approach-for-phishing-websites-using-url-and-html-features (retrieved 2026-05-24)

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