AI RESEARCH
VeriCWEty: Embedding enabled Line-Level CWE Detection in Verilog
arXiv CS.AI
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ArXi:2604.15375v1 Announce Type: cross Large Language Models (LLMs) have shown significant improvement in RTL code generation. Despite the advances, the generated code is often riddled with common vulnerabilities and weaknesses (CWEs) that can slip by untrained eyes. Attackers can often exploit these weaknesses to fulfill their nefarious motives. Existing RTL bug-detection techniques rely on rule-based checks, formal properties, or coarse-grained structural analysis, which either fail to capture semantic vulnerabilities or lack precise localization.