Tuesday, June 23, 2020

A Fast and Accurate Disassembler based on Deep Learning

1. Problem Statement

A disassembler takes a binary program as input and produces disassembly code and some higher-level information, such as function boundaries and control flow graphs. Most binary analysis tasks [1, 2, 3, 4] take disassembly code as input to recover syntactic and semantic level information of a given binary program.   As a result,  disassembly is one of the most critical building blocks for binary analysis problems, such as vulnerability search [5, 6], malware classification [7], and reverse engineering [8].