Pith. sign in

REVIEW 1 cited by

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

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2010.12252 v3 pith:CSFXXTJM submitted 2020-10-23 cs.CR

Dabao Wang , Siwei Wu , Ziling Lin , Lei Wu , Xingliang Yuan , Yajin Zhou , Haoyu Wang , Kui Ren This is my paper · ORCID
classification cs.CR
keywords loanflashfirstapplicationsecosystempatternspopularservice
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

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

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Following Devils' Footprint: Towards Real-time Detection of Price Manipulation Attacks

    cs.CR 2025-02 conditional novelty 6.0 of 10

    SMARTCAT detects price-manipulation attack contracts from bytecode alone, before they execute, by building a token flow graph and matching it against formalized attack patterns.

Pith tools