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Characterizing Cryptocurrency-themed Malicious Browser Extensions

  • Kailong WANG (Co-first Author)
  • , Yuxi LING (Co-first Author)
  • , Yanjun ZHANG
  • , Zhou YU
  • , Haoyu WANG*
  • , Guangdong BAI*
  • , Beng Chin OOI
  • , Jin Song DONG
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

Due to the surging popularity of various cryptocurrencies in recent years, a large number of browser extensions have been developed as portals to access relevant services, such as cryptocurrency exchanges and wallets. This has stimulated a wild growth of cryptocurrency themed malicious extensions that cause heavy financial losses to the users and legitimate service providers. They have shown their capability of evading the stringent vetting processes of the extension stores, highlighting a lack of understanding of this emerging type of malware in our community. In this work, we conduct the first systematic study to identify and characterize cryptocurrency-themed malicious extensions. We monitor seven official and third-party extension distribution venues for 18 months (December 2020 to June 2022) and have collected around 3600 unique cryptocurrency-themed extensions. Leveraging a hybrid analysis, we have identified 186 malicious extensions that belong to five categories. We then characterize those extensions from various perspectives including their distribution channels, life cycles, developers, illicit behaviors, and illegal gains. Our work unveils the status quo of the cryptocurrency-themed malicious extensions and reveals their disguises and programmatic features on which detection techniques can be based. Our work serves as a warning to extension users, and an appeal to extension store operators to enact dedicated countermeasures. To facilitate future research in this area, we release our dataset of the identified malicious extensions and open-source our analyzer. © 2022 Owner/Author.
Original languageEnglish
Article number43
Number of pages31
JournalProceedings of the ACM on Measurement and Analysis of Computing Systems
Volume6
Issue number3
Online published8 Dec 2022
DOIs
Publication statusPublished - Dec 2022
Externally publishedYes

Funding

This research is supported by Singapore Ministry of Education Academic Research Fund Tier 3 under MOE's official grant number MOE2017-T3-1-007. This research is also supported by the University of Queensland under Global Strategy and Partnerships Seed Funding and the NSRSG grant 4018264-617225, National Key R&D Program of China (2021YFB2701000), the National Natural Science Foundation of China (grant No.62072046), and the Fundamental Research Funds for the Central Universities (HUST 3004129109).

Research Keywords

  • browser extension
  • cryptocurrency
  • malware detection

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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