Serial Scammers and Attack of the Clones: How Scammers Coordinate Multiple Rug Pulls on Decentralized Exchanges
Phuong Duy Huynh, Son Hoang Dau, Nicholas Huppert, Joshua Cervenjak,, Hoonie Sun, Hong Yen Tran, Xiaodong Li, Emanuele Viterbo

TL;DR
This paper investigates how serial scammers organize multiple rug pulls on decentralized exchanges, identifying common patterns, scam clusters, and analyzing scam profits with a new formula that accounts for wash trading.
Contribution
It introduces a comprehensive dataset of scam addresses, identifies distinctive scam patterns and clusters, and proposes a novel profit calculation method considering wash traders.
Findings
Scammers use star, chain, and major flow patterns in rug pulls.
Scam clusters show high similarity within and low similarity across groups.
Existing profit formulas overestimate scam profits by 24-32%."
Abstract
We explored the ubiquitous phenomenon of serial scammers, each of whom deployed dozens to thousands of addresses to conduct a series of similar Rug Pulls on popular decentralized exchanges. We first constructed two datasets of around 384,000 scammer addresses behind all one-day Simple Rug Pulls on Uniswap (Ethereum) and Pancakeswap (BSC), and identified distinctive scam patterns including star, chain, and major (scam-funding) flow. These patterns, which collectively cover about of all scammer addresses in our datasets, reveal typical ways scammers run multiple Rug Pulls and organize the money flow among different addresses. We then studied the more general concept of scam cluster, which comprises scammer addresses linked together via direct ETH/BNB transfers or behind the same scam pools. We found that scam token contracts are highly similar within each cluster (average…
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Taxonomy
TopicsSpam and Phishing Detection · Cybercrime and Law Enforcement Studies · FinTech, Crowdfunding, Digital Finance
