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CrawlPhish: Large-Scale Analysis of Client-Side Cloaking Techniques in Phishing
- Authors
- Zhang, Penghui; Oest, Adam; Cho, Haehyun; Sun, Zhibo; Johnson, R. C.; Wardman, Brad; Sarker, Shaown; Kapravelos, Alexandros; Bao, Tiffany; Wang, Ruoyu; Shoshitaishvili, Yan; Doupe, Adam; Ahn, Gail-Joon
- Issue Date
- Mar-2022
- Publisher
- IEEE COMPUTER SOC
- Keywords
- Phishing; Codes; Browsers; Security; Crawlers; Visualization; Internet
- Citation
- IEEE SECURITY & PRIVACY, v.20, no.2, pp.10 - 21
- Journal Title
- IEEE SECURITY & PRIVACY
- Volume
- 20
- Number
- 2
- Start Page
- 10
- End Page
- 21
- ISSN
- 1540-7993
- Abstract
- Phishing websites with advanced evasion techniques are a critical threat to Internet users because they delay detection by current antiphishing systems. We present CrawlPhish, a framework for automatically detecting and categorizing the client-side (e.g., JavaScript) evasion used by phishing websites.
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Related Researcher
- CHO, HAEHYUN
- College of Information Technology (School of Software)