6 papers · 1 filter
TrapHunter: Exposing Covert Pathways in Trap Token Contracts
Yin Wu, Yixuan Liu, Yi Li +5
Standardized token contracts (e.g., ERC-20) form the foundation of digital assets. However, attackers increasingly abuse this standardization to disguise malicious trap tokens. Unl…
Specification Mining for Smart Contracts with Trace Slicing and Predicate Abstraction
Ye Liu, Yixuan Liu, Yi Li +1
Smart contracts are computer programs running on blockchains to implement Decentralized Applications. The absence of contract specifications hinders routine tasks, such as contract…
Towards Secure Program Partitioning for Smart Contracts with LLM's In-Context Learning
Ye Liu, Yuqing Niu, Chengyan Ma +5
Smart contracts are highly susceptible to manipulation attacks due to the leakage of sensitive information. Addressing manipulation vulnerabilities is particularly challenging beca…
PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation
Ye Liu, Yue Xue, Daoyuan Wu +4
With recent advances in large language models (LLMs), this paper explores the potential of leveraging state-of-the-art LLMs,such as GPT-4, to transfer existing human-written proper…
OpenTracer: A Dynamic Transaction Trace Analyzer for Smart Contract Invariant Generation and Beyond
Zhiyang Chen, Ye Liu, Sidi Mohamed Beillahi +2
Smart contracts, self-executing programs on the blockchain, facilitate reliable value exchanges without centralized oversight. Despite the recent focus on dynamic analysis of their…
Demystifying the Characteristics for Smart Contract Upgrades
Ye Liu, Shuo Li, Xiuheng Wu +3
Upgradable smart contracts play an important role in the decentralized application ecosystem, to support routine maintenance, security patching, and feature additions. In this pape…