Bibliographic Details
| Title: |
Characterizing Cryptocurrency-Themed Malicious Browser Extensions. |
| Authors: |
Bai, Guangdong, Wang, Kailong, Ling, Yuxi, Zhang, Yanjun, Yu, Zhou, Wang, Haoyu, Ooi, Beng Chin, Dong, Jin Song |
| Source: |
Communications of the ACM; Nov2025, Vol. 68 Issue 11, p93-101, 9p |
| Subject Terms: |
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: |
Complementary Index |