SmartIntentNN: Towards Smart Contract Intent Detection

Smart contracts on the blockchain offer decentralized financial services but often lack robust security measures, resulting in significant economic losses. Although substantial research has focused on identifying vulnerabilities, a notable gap remains in evaluating the malicious intent behind their development. To address this, we introduce \textsc{SmartIntentNN} (Smart Contract Intent Neural Network), a deep learning-based tool designed to automate the detection of developers' intent in smart contracts. Our approach integrates a Universal Sentence Encoder for contextual representation of smart contract code, employs a K-means clustering algorithm to highlight intent-related code features, and utilizes a bidirectional LSTM-based multi-label classification network to predict ten distinct types of high-risk intent. Evaluations on a dataset of 10,000 smart contracts demonstrate that \textsc{SmartIntentNN} surpasses all baselines, achieving an F1-score of up to 0.8633. A demo video is available at \url{https://youtu.be/otT0fDYjwK8}.