@article{fidalgo_state_2021,
title = {State of the Art: Content-based and Hybrid Phishing},
author = {Felipe Castaño and Eduardo Fidalgo and Enrique Alegre and Deisy Chaves and Manuel Sánchez-Paniagua},
url = {https://arxiv.org/abs/2101.12723},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
abstract = {Phishing attacks have evolved and increased over time and, for this reason, the task of distinguishing between a legitimate site and a phishing site is more and more difficult, fooling even the most expert users. The main proposals focused on addressing this problem can be divided into four approaches: List-based, URL based, content-based, and hybrid. In this state of the art, the most recent techniques using web content-based and hybrid approaches for Phishing Detection are reviewed and compared.},
keywords = {Content-based Features, Cybersecurity, deep learning, Hybrid Features, Hybrid Phishing, machine learning, phishing detection},
pubstate = {published},
tppubtype = {article}
}
Phishing attacks have evolved and increased over time and, for this reason, the task of distinguishing between a legitimate site and a phishing site is more and more difficult, fooling even the most expert users. The main proposals focused on addressing this problem can be divided into four approaches: List-based, URL based, content-based, and hybrid. In this state of the art, the most recent techniques using web content-based and hybrid approaches for Phishing Detection are reviewed and compared.