Uncover the Premeditated Attacks: Detecting Exploitable Reentrancy Vulnerabilities by Identifying Attacker Contracts
Shuo Yang, Jiachi Chen, Mingyuan Huang, Zibin Zheng, Yuan Huang
Abstract
Reentrancy, a notorious vulnerability in smart contracts, has led to millions of dollars in financial loss. However, current smart contract vulnerability detection tools suffer from a high false positive rate in identifying contracts with reentrancy vulnerabilities. Moreover, only a small portion of the detected reentrant contracts can actually be exploited by hackers, making these tools less effective in securing the Ethereum ecosystem in practice.
Topics & Concepts
HackerVulnerability (computing)Computer securityComputer scienceSmart contractInternet privacyBusinessRisk analysis (engineering)BlockchainBlockchain Technology Applications and SecurityCybercrime and Law Enforcement StudiesSpam and Phishing Detection