No More Hidden Pitfalls? Exposing Smart Contract Bad Practices with LLM-Powered Hybrid Analysis

This article, sourced from ArXiv, likely discusses a research paper. The core focus is on using Large Language Models (LLMs) in conjunction with other analysis methods to identify and expose problematic practices within smart contracts. The 'hybrid analysis' suggests a combination of automated and potentially human-in-the-loop approaches. The title implies a proactive stance, aiming to prevent vulnerabilities and improve the security of smart contracts.

• •The research leverages LLMs for smart contract analysis.
• •It aims to identify and expose bad practices.
• •The approach is a hybrid of different analysis techniques.
• •The goal is to improve smart contract security.