NDSS2020

SODA: A Generic Online Detection Framework for Smart Contracts

Ting Chen, Rong Cao, Ting Li, Xiapu Luo, Guofei Gu, Yufei Zhang, Zhou Liao, Hang Zhu, Gang Chen, Zheyuan He, Yuxing Tang, Xiaodong Lin, Xiaosong Zhang

Abstract

—Smart contracts have become lucrative and profitable targets for attackers because they can hold a great amount of money. Unfortunately, existing offline approaches for discovering the vulnerabilities in smart contracts or checking the correctness of smart contracts cannot conduct online detection of attacking transactions. Besides, existing online approaches only focus on specific attacks and cannot be easily extended to detect other attacks. Moreover, developing a new online detection system for smart contracts from scratch is time-consuming and requires deep understanding of blockchain internals, thus making it difficult to quickly implement and deploy mechanisms to detect new attacks. In this paper, we propose a novel generic online detection framework named SODA for smart contracts on any blockchains that support Ethereum virtual machine (EVM). SODA distinguishes itself from existing online approaches through its capability, efficiency, and compatibility. First, SODA empowers users to easily develop apps for detecting various attacks online (i.e., when attacks happen) by separating information collection and attack detection with layered design. At the higher layer, SODA provides unified interfaces to develop detection apps against various attacks. At the lower layer, SODA instruments EVM to collect all primitive information necessary to detect various attacks and constructs 11 kinds of structural information for the ease of developing apps. Based on SODA , users can develop new apps in a few