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abstract

Trade or Trick?: Detecting and Characterizing Scam Tokens on Uniswap Decentralized Exchange

Published: 06 June 2022 Publication History
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  • Abstract

    The prosperity of the cryptocurrency ecosystem drives the need for digital asset trading platforms. Uniswap, as the most prominent cryptocurrency decentralized exchange (DEX), is continuing to attract scammers, with fraudulent cryptocurrencies flooding in the ecosystem. In this paper, we take the first step to detect and characterize scam tokens on Uniswap. We first investigate the landscape of cryptocurrency trading on Uniswap from different perspectives based on its transactions. Then, we propose an accurate approach for flagging scam tokens on Uniswap. We have identified over 10K scam tokens listed on Uniswap, which suggests that roughly 50% of the tokens listed on Uniswap are scam tokens. All the scam tokens are created specialized for the "rug pull" scams, and some scam tokens have embedded tricks and backdoors in the smart contracts. We further observe that thousands of collusion addresses help carry out the scams. The scammers have gained a profit of at least $16 million from 39,762 potential victims. Our observations in this paper suggest the urgency to identify and stop scams in the decentralized finance ecosystem.

    Reference

    [1]
    Pengcheng Xia, Haoyu Wang, Bingyu Gao, Weihang Su, Zhou Yu, Xiapu Luo, Chao Zhang, Xusheng Xiao, and Guoai Xu. Trade or trick? detecting and characterizing scam tokens on uniswap decentralized exchange. Proceedings of the ACM on Measurement and Analysis of Computing Systems, 5(3):1--26, 2021.

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    • (2024)Towards Understanding Crypto-Asset Risks on Ethereum Caused by Key Leakage on the InternetCompanion Proceedings of the ACM on Web Conference 202410.1145/3589335.3651573(875-878)Online publication date: 13-May-2024
    • (2023)TRacer: Scalable Graph-Based Transaction Tracing for Account-Based Blockchain Trading SystemsIEEE Transactions on Information Forensics and Security10.1109/TIFS.2023.326616218(2609-2621)Online publication date: 1-Jan-2023
    • (2023)Importance of anti-money laundering regulations among prosumers for a cybersecure decentralized financeJournal of Business Research10.1016/j.jbusres.2022.113558157(113558)Online publication date: Mar-2023

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    cover image ACM Conferences
    SIGMETRICS/PERFORMANCE '22: Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems
    June 2022
    132 pages
    ISBN:9781450391412
    DOI:10.1145/3489048
    • cover image ACM SIGMETRICS Performance Evaluation Review
      ACM SIGMETRICS Performance Evaluation Review  Volume 50, Issue 1
      SIGMETRICS '22
      June 2022
      118 pages
      ISSN:0163-5999
      DOI:10.1145/3547353
      Issue’s Table of Contents
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

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    Published: 06 June 2022

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    Author Tags

    1. blockchain
    2. exchange
    3. scam cryptocurrency
    4. uniswap

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    • (2024)Towards Understanding Crypto-Asset Risks on Ethereum Caused by Key Leakage on the InternetCompanion Proceedings of the ACM on Web Conference 202410.1145/3589335.3651573(875-878)Online publication date: 13-May-2024
    • (2023)TRacer: Scalable Graph-Based Transaction Tracing for Account-Based Blockchain Trading SystemsIEEE Transactions on Information Forensics and Security10.1109/TIFS.2023.326616218(2609-2621)Online publication date: 1-Jan-2023
    • (2023)Importance of anti-money laundering regulations among prosumers for a cybersecure decentralized financeJournal of Business Research10.1016/j.jbusres.2022.113558157(113558)Online publication date: Mar-2023

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