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Characterizing Cryptocurrency-Themed Malicious Browser Extensions.

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Title: Characterizing Cryptocurrency-Themed Malicious Browser Extensions.
Authors: Bai, Guangdong1 (AUTHOR) g.bai@uq.edu.au, Wang, Kailong2 (AUTHOR) wangkl@hust.edu.cn, Ling, Yuxi3 (AUTHOR) yuxiling@u.nus.edu, Zhang, Yanjun4 (AUTHOR) Yanjun.Zhang@uts.edu.au, Yu, Zhou2 (AUTHOR) yuzhou@hust.edu.cn, Wang, Haoyu2 (AUTHOR) haoyuwang@hust.edu.cn, Ooi, Beng Chin5 (AUTHOR) ooibc@comp.nus.edu.sg, Dong, Jin Song5 (AUTHOR) dcsdjs@nus.edu.sg
Source: Communications of the ACM. Nov2025, Vol. 68 Issue 11, p93-101. 9p.
Subjects: Cryptocurrencies, Web browsers, Computer crimes, Phishing, Adware (Computer software)
Abstract: This research article details the work undertaken to identify and classify cryptocurrency-themed malicious browser extensions in order to determine suitable countermeasures. A systematic study yielded 186 malicious extensions within a population of 3600 extensions. Then the malicious extensions were classified into five categories—including life cycle and illegal gains—and then a systematic detection approach was compiled and presented taking metadata features, programmatic features and execution features in consideration.
Database: Engineering Source
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  Data: Characterizing Cryptocurrency-Themed Malicious Browser Extensions.
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  Data: <searchLink fieldCode="AR" term="%22Bai%2C+Guangdong%22">Bai, Guangdong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> g.bai@uq.edu.au</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Kailong%22">Wang, Kailong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> wangkl@hust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Ling%2C+Yuxi%22">Ling, Yuxi</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> yuxiling@u.nus.edu</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yanjun%22">Zhang, Yanjun</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> Yanjun.Zhang@uts.edu.au</i><br /><searchLink fieldCode="AR" term="%22Yu%2C+Zhou%22">Yu, Zhou</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> yuzhou@hust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Haoyu%22">Wang, Haoyu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> haoyuwang@hust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Ooi%2C+Beng+Chin%22">Ooi, Beng Chin</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> ooibc@comp.nus.edu.sg</i><br /><searchLink fieldCode="AR" term="%22Dong%2C+Jin+Song%22">Dong, Jin Song</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> dcsdjs@nus.edu.sg</i>
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  Data: <searchLink fieldCode="JN" term="%22Communications+of+the+ACM%22">Communications of the ACM</searchLink>. Nov2025, Vol. 68 Issue 11, p93-101. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Cryptocurrencies%22">Cryptocurrencies</searchLink><br /><searchLink fieldCode="DE" term="%22Web+browsers%22">Web browsers</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+crimes%22">Computer crimes</searchLink><br /><searchLink fieldCode="DE" term="%22Phishing%22">Phishing</searchLink><br /><searchLink fieldCode="DE" term="%22Adware+%28Computer+software%29%22">Adware (Computer software)</searchLink>
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  Label: Abstract
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  Data: This research article details the work undertaken to identify and classify cryptocurrency-themed malicious browser extensions in order to determine suitable countermeasures. A systematic study yielded 186 malicious extensions within a population of 3600 extensions. Then the malicious extensions were classified into five categories—including life cycle and illegal gains—and then a systematic detection approach was compiled and presented taking metadata features, programmatic features and execution features in consideration.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=188947686
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        Value: 10.1145/3715673
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        Text: English
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      – SubjectFull: Web browsers
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      – SubjectFull: Computer crimes
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      – SubjectFull: Phishing
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              M: 11
              Text: Nov2025
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              Y: 2025
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