Method and system for extracting dynamic language anti-confusion features of front-end interface

The invention discloses a dynamic language anti-obfuscation feature extraction method and system for a front-end interface, and the method comprises the steps: 1, carrying out the character extraction of binary statements in script information one by one, and converting the characters of the binary statements into coded characters of a standard code language; 2, establishing a two-dimensional matrix of which the abscissa and the ordinate both comprise all standard code languages, and filling the two-dimensional matrix with the binary statements according to the coded characters; step 3, filling the occurrence frequency into the two-dimensional matrix according to the coordinate value of the binary statement; and step 4, performing normalization processing on the two-dimensional matrix to obtain a feature matrix. According to the dynamic language anti-confusion feature extraction method and system for the front-end interface, infinite natural languages are converted into limited standard coding information in