  Decentralized Exchanges (DEXs) are one of the most important infrastructures
in the world of Decentralized Finance (DeFi) and are generally considered more
reliable than centralized exchanges (CEXs). However, some well-known
decentralized exchanges (e.g., Uniswap) allow the deployment of any unaudited
ERC20 tokens, resulting in the creation of numerous honeypot traps designed to
steal traders' assets: traders can exchange valuable assets (e.g., ETH) for
fraudulent tokens in liquidity pools but are unable to exchange them back for
the original assets.
  In this paper, we introduce honeypot traps on decentralized exchanges and
provide a taxonomy for these traps according to the attack effect. For
different types of traps, we design a detection scheme based on historical data
analysis and transaction simulation. We randomly select 10,000 pools from
Uniswap V2 \& V3, and then utilize our method to check these pools.Finally, we
discover 8,443 abnormal pools, which shows that honeypot traps may exist widely
in exchanges like Uniswap. Furthermore, we discuss possible mitigation and
defense strategies to protect traders' assets.
