Phishing in Style: Characterizing Phishing Websites in the Wild
Author:
Affiliation:
1. Linköping University,Sweden
Funder
Knut and Alice Wallenberg Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10198870/10198880/10199059.pdf?arnumber=10199059
Reference24 articles.
1. BaitAlarm: Detecting Phishing Sites Using Similarity in Fundamental Visual Features
2. Certified phishing: taking a look at public key certificates of phishing websites;meyer;Proceedings of the 3rd Symposium on Usable Privacy and Security (SOUPS),0
3. Phishing Website Detection Based on Multidimensional Features Driven by Deep Learning
4. Catching phishers by their bait: Investigating the dutch phishing landscape through phishing kit detection;bijmans;Proc Usenix Security,0
5. Phishing-Alarm: Robust and Efficient Phishing Detection via Page Component Similarity
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1. Building a Resilient Domain Whitelist to Enhance Phishing Blacklist Accuracy;2023 APWG Symposium on Electronic Crime Research (eCrime);2023-11-15
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