Sweeping the Blockchain: Unmasking Illicit Accounts in Web3 Scams
Black Hat Asia 2025 · Day 1 · Briefings
The rapid expansion of the **Web3** ecosystem, promising a decentralized future built on blockchain technology, has unfortunately attracted a new wave of sophisticated illicit activities. With its market value projected to reach $3.17 billion by 2024, driven by advancements in **decentralized applications (dApps)**, **DeFi protocols**, and **decentralized identifier systems**, Web3 presents both immense opportunity and significant security challenges. Scams in this space are increasingly complex, ranging from deceptive **fishing scams** and **airdrop/giveaway scams** to advanced **crypto-jackers**, collectively resulting in staggering financial losses exceeding $500 million annually.
AI review
Dr. Kozlov's assessment of "Sweeping the Blockchain" is highly positive. The talk introduces Scam Sweeper, a novel framework that effectively combines temporal and graph-based learning to detect illicit accounts on the Ethereum blockchain. The core innovations, `STRAW-WORK` for efficient, temporally-aware sampling and the `Vibration Transformer` for capturing dynamic scam evolution, directly address critical scalability and noise limitations of existing methods. This research provides a robust, empirically validated solution with significant practical implications for Web3 security, offering…