Authors: Pengcheng Xia, Yanhui Guo, Zhaowen Lin, Jun Wu, Pengbo Duan, Ningyu He, Kailong Wang, Tianming Liu, Yinliang Yue, Guoai Xu, Haoyu Wang

Published on: May 07, 2024

Impact Score: 7.8

Arxiv code: Arxiv:2405.04332

Summary

• What is new: Introduces WALLETRADAR, an automated tool for detecting security vulnerabilities in browser-based cryptocurrency wallets.
• Why this is important: The rapid growth of browser-based cryptocurrency wallets has led to increased security challenges, with a notable gap in comprehensive security analysis and tools for developers.
• What the research proposes: The development of an automated detection framework, WALLETRADAR, that leverages both static and dynamic analysis to identify security vulnerabilities.
• Results: WALLETRADAR successfully identified security issues in 90% of the evaluated wallets, discovering 116 vulnerabilities in 70 wallets, leading to acknowledgment and fixes from developers.

Technical Details

Technological frameworks used: WALLETRADAR, employing static and dynamic analysis

Models used: Taxonomy of security vulnerabilities derived from historical security reports

Data used: Evaluation of 96 popular browser-based wallets

Potential Impact

Cryptocurrency wallet developers, cybersecurity firms, and blockchain technology companies

Want to implement this idea in a business?

We have generated a startup concept here: SecuWalletGuard.