Asteria-Pro: Enhancing Deep-Learning Based Binary Code Similarity Detection by Incorporating Domain Knowledge. (arXiv:2301.00511v1 [cs.SE])

The widespread code reuse allows vulnerabilities to proliferate among a vast
variety of firmware. There is an urgent need to detect these vulnerable code
effectively and efficiently. By measuring code similarities, AI-based binary
code similarity detection is applied to detecting vulnerable code at scale.
Existing studies have proposed various function features to capture the
commonality for similarity detection. Nevertheless, the significant code
syntactic variability induced by the diversity of IoT hardware architectures
diminishes the accuracy of binary code similarity detection. …

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