Semantic Vulnerability Analysis Through Exploit-Centric Vector Embeddings for Smart Contract Security

Abstract

This technical disclosure describes a system and method for detecting vulnerabilities in smart contracts using semantic vector embeddings that compare code patterns against a curated database of historical blockchain exploits. Unlike traditional code similarity approaches that match syntactically similar code, the disclosed system performs exploit-centric similarity matching, identifying code that is semantically similar to previously exploited patterns even when syntactically different. The system incorporates attack mode classification, economic impact estimation, and cross-contract analysis to provide comprehensive vulnerability assessment. This document is published as a defensive publication to establish prior art and prevent third parties from obtaining patent protection for similar approaches while preserving trade secret protection for specific implementation details.