LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models

Understand

As blockchain platforms grow exponentially, millions of lines of smart contract code are being deployed to manage extensive digital assets.

• However, vulnerabilities in this mission-critical code have led to significant exploitations and asset losses.
• Thorough automated security analysis of smart contracts is thus imperative.
• This paper introduces LLM4Fuzz to optimize automated smart contract security analysis by leveraging large language models (LLMs) to intelligently guide and prioritize fuzzing campaigns.