Instruction-set-irrelevant binary code similarity detection method based on neural network
A binary code and neural network technology, applied in the fields of computer program detection, binary program vulnerability mining and reverse analysis, to achieve the effect of simple technology, easy promotion and high accuracy
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[0029] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the present invention will be further described below through specific embodiments and accompanying drawings.
[0030] A kind of instruction set irrelevant binary similar code retrieval method based on neural network of the present invention, specifically comprises the following steps:
[0031] 1) Construct a training set sample. Choose the same source code, choose different compilers, different optimization options, compile for different architectures, and obtain binary executable files. Perform reverse analysis on the binary executable file, and extract 9 aspects of features for each function. The characteristics of these 9 aspects are call relationship characteristics, string characteristics, stack space characteristics, code scale characteristics, path sequence characteristics, path basic characteristics, degree sequence characteristics, degree basi...
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