ORACAL: A Robust and Explainable Multimodal Framework for Smart Contract Vulnerability Detection with Causal Graph Enrichment
Researchers have developed ORACAL, a new multimodal framework designed to enhance the detection of smart contract vulnerabilities. This framework integrates various graph representations like Control Flow Graph, Data Flow Graph, and Call Graph, enriched with security context from LLMs and RAG. ORACAL utilizes a causal attention mechanism and PGExplainer for transparency, achieving state-of-the-art performance on benchmark datasets and demonstrating robustness against adversarial attacks. AI
IMPACT Enhances security auditing for smart contracts by improving vulnerability detection accuracy and explainability.