Vulnerability detection in smart contracts employs different methodologies based on input types and detection principles. Analyzing contracts can be performed at the high-level source code or through the bytecode interfacing with the Ethereum Virtual Machine (EVM). Techniques include static analysis for structure and semantics, dynamic analysis leveraging fuzz testing, and hybrid analysis that combines both methods. Additionally, trace-based evaluations are effective for identifying vulnerabilities from historical transaction patterns, providing insights into real-world usage."
Vulnerability detection in smart contracts employs various methodologies, which are dependent on input types and detection principles. Analyzing contracts can occur at high-level source code or through bytecode interfacing with the EVM.
Static analysis, which delves into code structure and semantics, is often applied to source code evaluations, while dynamic analysis utilizes strategies like fuzz testing to spot anomalies.
Hybrid analysis methods combine static and dynamic techniques for a comprehensive examination of smart contracts, identifying a wider range of vulnerabilities through this integration.
Trace-based evaluations scrutinize historical transaction patterns, uncovering vulnerabilities formed from real-world usage patterns, adding further depth to vulnerability detection in smart contracts.
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