Smart Contract Security: An Overview of Tools and Techniques

Abstract

This study aims to provide a comprehensive analysis of tools and methods for ensuring smart contract security.The research employs a systematic review of static analysis, dynamic testing, and formal verification approaches.Static analysis tools, including Oyente, Mythril, and Slither, are systematically evaluated regarding their effectiveness in identifying vulnerabilities at early development stages, highlighting strengths in detecting known vulnerability patterns as well as limitations such as false positives.Dynamic analysis methodologies, such as fuzz testing (e.g., Echidna, Harvey) and symbolic execution (e.g., MAIAN, teEther), are assessed for their capability to identify complex logical vulnerabilities that are typically missed by static methods, examining their accuracy, scalability, and real-world applicability.Formal verification approaches employing K-framework, Why3, and Coq are thoroughly examined for their ability to deliver rigorous mathematical guarantees of smart contract correctness, along with their practical applicability, complexity, and integration into typical smart contract development workflows.The study reveals that an integrated security strategy, combining static analysis, dynamic testing, and formal verification methods, is essential for comprehensive and robust smart contract protection, effectively mitigating diverse vulnerabilities across the entire contract lifecycle.The research contributes to the field by offering a comparative analysis of current tools, identifying their strengths and limitations, and proposing future research directions, including automated specification generation and AI-driven vulnerability prediction.