A Comprehensive Survey of Smart Contracts Vulnerability Detection Tools: Techniques and Methodologies

The widespread use of blockchain technology has highlighted smart contracts as crucial components in digital transactions. However, their susceptibility to vulnerabilities poses significant challenges to security and dependability. This survey presents a comprehensive evaluation of 256 smart contracts analysis tools, categorized by methodologies such as fuzzing, machine learning, symbolic execution, and formal verification. Through theoretical and practical assessments, this paper offers insights into the current landscape of smart contracts vulnerability detection tools. Additionally, the paper systematically evaluates selected tools based on real-world datasets. The results show that while many tools perform well, they do not fully cover all vulnerability types accurately, highlighting the need for improved integration of detection methodologies. The findings aim to bridge gaps in existing methods, guiding future improvements for enhancing the security of blockchain applications.