The state of phishing attacks

545 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

DeltaPhish: Detecting Phishing Webpages in Compromised Websites (2017, background): “They may be even used to achieve political or military objectives [2, 3].”
PhishEye: Live Monitoring of Sandboxed Phishing Kits (2016, background): “Our study presents accurate measurements of the duration and effectiveness of this popular threat, and discusses many new and interesting aspects we observed by monitoring hundreds of phishing campaigns.”
Phishing Attacks: A Recent Comprehensive Study and a New Anatomy (2021, background): “A range of solutions are being discussed and proposed by the researchers to overcome the problems of phishing, but still, there is no single solution that can be trusted or capable of mitigating these attacks (Hong, 2012; Boddy, 2018; Chanti and Chithralekha, 2020).”
Malicious URL Detection using Machine Learning: A Survey (2017, background): “Most of these attacking techniques are realized through spreading compromised URLs (or the spreading of such URLs forms a critical part of the attacking operation) [1].”
URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection (2018, background): “This has resulted in billions of dollars worth of losses every year [16].”