Characterizing Cryptocurrency Exchange Scams
March 16, 2020 Β· Declared Dead Β· π Computers & security
"No code URL or promise found in abstract"
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Authors
Pengcheng Xia, Bowen Zhang, Ru Ji, Bingyu Gao, Lei Wu, Xiapu Luo, Haoyu Wang, Guoai Xu
arXiv ID
2003.07314
Category
cs.CR: Cryptography & Security
Cross-listed
cs.SE
Citations
98
Venue
Computers & security
Last Checked
4 months ago
Abstract
As the indispensable trading platforms of the ecosystem, hundreds of cryptocurrency exchanges are emerging to facilitate the trading of digital assets. While, it also attracts the attentions of attackers. A number of scam attacks were reported targeting cryptocurrency exchanges, leading to a huge mount of financial loss. However, no previous work in our research community has systematically studied this problem. In this paper, we make the first effort to identify and characterize the cryptocurrency exchange scams. We first identify over 1,500 scam domains and over 300 fake apps, by collecting existing reports and using typosquatting generation techniques. Then we investigate the relationship between them, and identify 94 scam domain families and 30 fake app families. We further characterize the impacts of such scams, and reveal that these scams have incurred financial loss of 520k US dollars at least. We further observe that the fake apps have been sneaked to major app markets (including Google Play) to infect unsuspicious users. Our findings demonstrate the urgency to identify and prevent cryptocurrency exchange scams. To facilitate future research, we have publicly released all the identified scam domains and fake apps to the community.
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