Doctoral Dissertations
Date of Award
8-2025
Degree Type
Dissertation
Degree Name
Doctor of Philosophy
Major
Computer Science
Major Professor
Doowon Kim
Committee Members
Doowon Kim, Jian Liu, Jinyuan Sun, Yonghwi Kwon
Abstract
Phishing attacks continue to grow in prevalence and sophistication, creating fake websites that mimic legitimate services to steal credentials from victims. This “cat-and-mouse game” sees attackers continuously evolving with new evasion techniques, making quick detection the key challenge. This defense presents a comprehensive analysis of the phishing attack lifecycle across five domains: website creation, domain registration, regional attack variations, defensive mechanisms, and post-detection behaviors. Our research spans multiple years and millions of phishing URLs. Our findings reveal that phishing websites typically use outdated resources and lack security protections. Most phishing domains are maliciously registered rather than compromised, with attackers preferring cheaper TLDs and targeting specific brands. Global detection mechanisms often miss regionally targeted campaigns, particularly those in non-English contexts. Defensive measures show significant gaps, with widely used blocklists exhibiting substantial detection delays compared to specialized services. Website security practices remain inadequate, with virtually no sites following all recommended security guidelines. After detection, phishing websites typically remain operational for approximately two days, with those employing frequent visual changes persisting longer. This research contributes actionable insights for improving phishing defenses through earlier detection, vulnerability exploitation, and enhanced security practices.
Recommended Citation
Lim, Kyungchan, "Understanding Social Engineering Attacks from Attacker Behaviors to Defensive Strategies. " PhD diss., University of Tennessee, 2025.
https://trace.tennessee.edu/utk_graddiss/12732