SemASTer: Cross-Architecture Binary Code Similarity Detection via AST-Driven Semantic Compensation
SemASTer is proposed, a robust framework for cross-architecture binary code similarity detection that leverages Abstract Syntax Tree (AST) as its semantic backbone and introduces two complementary compensation pathways: behavioral semantic compensation to recover lost runtime dynamics, and control-flow compensation to...