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Flash Loan, as an emerging service in the decentralized finance ecosystem,allows users to request a non-collateral loan. While providing convenience, italso enables attackers to launch malicious operations with a large amount ofasset that they do not have. Though there exist spot media reports of attacksthat leverage Flash Loan, there lacks a comprehensive understanding of existingFlash Loan services. In this work, we take the first step to study the FlashLoan service provided by three popular platforms. Specifically, we firstillustrate the interactions between Flash Loan providers and users. Then, wedesign three patterns to identify Flash Loan transactions. Based on thepatterns, 76, 303 transactions are determined. The evaluation results show thatthe Flash Loan services get more popular over time. At last, we present fourFlash Loan applications with real-world examples and propose two potentialresearch directions.

Towards A First Step to Understand Flash Loan and Its Applications in DeFi Ecosystem