Why Is My Transaction Risky? Understanding Smart Contract Semantics and Interactions in the NFT Ecosystem
Yujing Chen, Xuanming Liu, Zhiyuan Wan, Zuobin Wang, David Lo, Difan Xie, Xiaohu Yang
摘要
The NFT ecosystem represents an interconnected, decentralized environment that encompasses the creation, distribution, and trading of Non-Fungible Tokens (NFTs), where key actors, such as marketplaces, sellers, and buyers, utilize smart contracts to facilitate secure, transparent, and trustless transactions. Scam tokens are deliberately created to mislead users and facilitate financial exploitation, posing significant risks in the NFT ecosystem. Prior work has explored the NFT ecosystem from various perspectives, including security challenges, actor behaviors, and risks from scams and wash trading, leaving a gap in understanding the semantics and interactions of smart contracts during transactions, and how the risks associated with scam tokens manifest in relation to the semantics and interactions of contracts. To bridge this gap, we conducted a large-scale empirical study on smart contract semantics and interactions in the NFT ecosystem, using a curated dataset of nearly 100 million transactions across 20 million blocks on Ethereum. We observe a limited semantic diversity among smart contracts in the NFT ecosystem, dominated by proxy, token, and DeFi contracts. Marketplace and proxy registry contracts are the most frequently involved in smart contract interactions during transactions, engaging with a broad spectrum of contracts in the ecosystem. Token contracts exhibit bytecode-level diversity, whereas scam tokens exhibit bytecode convergence. Certain interaction patterns between smart contracts are common to both risky and non-risky transactions, while others are predominantly associated with risky transactions. Based on our findings, we provide recommendations to mitigate risks in the blockchain ecosystem, and outline future research directions.
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它引用的顶会 Paper11
- The Art of The Scam: Demystifying Honeypots in Ethereum Smart ContractsChristof Ferreira Torres, Mathis Steichen, Radu StateUSENIX Security 2019 · 被引用 239 次
- Understanding Security Issues in the NFT EcosystemDipanjan Das, Priyanka Bose, Nicola Ruaro, Christopher Kruegel 等CCS 2022 · 被引用 173 次
- Definition and Detection of Defects in NFT Smart ContractsShuo Yang, Jiachi Chen, Zibin ZhengISSTA 2023 · 被引用 35 次
- TokenScout: Early Detection of Ethereum Scam Tokens via Temporal Graph LearningCong Wu, Jing Chen, Ziming Zhao, Kun He 等CCS 2024 · 被引用 35 次
- ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on BlockchainSihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei 等WWW 2024 · 被引用 33 次
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