Phishing Website Detection Using Machine Learning

Phishing websites imitate legitimate online services to trick users into revealing passwords, payment details, and other sensitive information.Static blacklists are useful for known threats but may not recognize newly created or rapidly modified sites. This paper presents a proposedmachine-learning framework

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.23742941
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Phishing Website Detection Using Machine Learning

Dhiraj 0Meher
1 links
Zenodo (CERN European Organization for Nuclear Research)
Spam and Phishing Detection
article

Phishing Website Detection Using Machine Learning

Dhiraj 0Meher
article en

Abstract

Phishing websites imitate legitimate online services to trick users into revealing passwords, payment details, and other sensitive information.Static blacklists are useful for known threats but may not recognize newly created or rapidly modified sites. This paper presents a proposedmachine-learning framework

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 6%
Spam and Phishing Detection
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Phishing Website Detection Using Machine Learning — Dhiraj 0Meher · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS