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Salus Lightning Cat employs machine learning techniques for smart contract vulnerability detection. We have trained three deep learning models for detecting vulnerabilities in smart contracts: Optimized-CodeBERT, Optimized-LSTM, and Optimized-CNN. To accurately extract vulnerability features, we obtain code snippets from vulnerable functions, preserving key vulnerability characteristics. By leveraging the CodeBERT pre-trained model for data preprocessing, we can more accurately capture the syntax and semantics of the code, thereby improving the performance of vulnerability detection.