Bibliographic Details
| 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 |
