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.
| Original language | English |
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| Title of host publication | Proceedings of the ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 23-24 |
| Number of pages | 132 |
| ISBN (Electronic) | 10.1145/3489048 |
| ISBN (Print) | 9781450391412 |
| Publication status | Published - 6 Jun 2022 |
| Event | 2022 ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) - Mumbai, India Duration: 6 Jun 2022 → 10 Jun 2022 Conference number: 978-1-4503-9141-2 https://dl.acm.org/doi/proceedings/10.1145/3489048 |
Competition
| Competition | 2022 ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) |
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| Country/Territory | India |
| City | Mumbai |
| Period | 6/06/22 → 10/06/22 |
| Internet address |