Smart Contracts (SCs) are critical in blockchain but remain vulnerable, with existing detection methods often lacking accuracy and scalability. We propose SCsVulLyzer V2.0, an analyzer extracting 240 features, combined with a Genetic Algorithm (GA)-based profiling method that leverages adaptive mutation, elite retention, and penalty fitness functions for precise vulnerability profiling. Validated with the new BCCC-SCsVul-2024 dataset of 111,897 Solidity contracts, our approach achieves higher precision, efficiency, and explainability, advancing SC vulnerability detection and profiling.