DomainScouter: Understanding the Risks of Deceptive IDNs

Authors: 

Daiki Chiba, Ayako Akiyama Hasegawa, and Takashi Koide, NTT Secure Platform Laboratories; Yuta Sawabe and Shigeki Goto, Waseda University; Mitsuaki Akiyama, NTT Secure Platform Laboratories

Abstract: 

Cyber attackers create domain names that are visually similar to those of legitimate/popular brands by abusing valid internationalized domain names (IDNs). In this work, we systematize such domain names, which we call deceptive IDNs, and understand the risks associated with them. In particular, we propose a new system called DomainScouter to detect various deceptive IDNs and calculate a deceptive IDN score, a new metric indicating the number of users that are likely to be misled by a deceptive IDN. We perform a comprehensive measurement study on the identified deceptive IDNs using over 4.4 million registered IDNs under 570 top level domains (TLDs). The measurement results demonstrate that there are many previously unexplored deceptive IDNs targeting non-English brands or combining other domain squatting methods. Furthermore, we conduct online surveys to examine and highlight vulnerabilities in user perceptions when encountering such IDNs. Finally, we discuss the practical countermeasures that stakeholders can take against deceptive IDNs.

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BibTeX
@inproceedings {242064,
author = {Daiki Chiba and Ayako Akiyama Hasegawa and Takashi Koide and Yuta Sawabe and Shigeki Goto and Mitsuaki Akiyama},
title = {DomainScouter: Understanding the Risks of Deceptive IDNs},
booktitle = {22nd International Symposium on Research in Attacks, Intrusions and Defenses ({RAID} 2019)},
year = {2019},
isbn = {978-1-939133-07-6},
address = {Chaoyang District, Beijing},
pages = {413--426},
url = {https://www.usenix.org/conference/raid2019/presentation/chiba},
publisher = {{USENIX} Association},
month = sep,
}