Binary Analysis Toolkit in Python

Binary Analysis Toolkit: ---- Load Portion ---- Load a binary file (suggest bitstring) Pseudo Code: - Ability to only load first x Bytes Display: - print in binary of x bits (x = configurable length) - vertical scroll if necessary ---- Analysis Portion ---- Plot Binary Cross Correlation (goal here is to find repeating patterns without requirng 100% match) - This will eventually be in OpenCL for speed but not in this version if that effects the design Pseudo Code: original_bits = all bits search_bits = subset of original_bits (configurable length) match_amount = [] while search_bits within original_bits: [login to view URL](how many bits match between search_bits and original_bits[:len(search_bits]) shift comparison betwen search_bits and original_bits by 1 Display: output the index and % of match top match_amounts (x configurable) graph that looks like an fft of each index offset starting at 0 on the x axis, and the match % on y in bar graph format (suggest pyplot) ---- Visualization Portion ---- Set an arbitrary wrap length Display binary file in a raster of bits (1 vs 0 = color 1 vs color 0) (example is pyplot imshow but not sure if this is the best to support dragging selection) - Vertical Scroll only if it\'s easy (otherwise just make the view as big as needed) - Configurable: Line Length, Start Offset, Line Count - Select with mouse dragging over bits to set start and length ranges for decode scratchpad - Depicted in example by green box ---- Decode and Scale Scratch Space ---- Used to play with a set of bits to guess values: Features: - Configurable: Start Index, Number of Bits, Little or Big Indian - Start and length if updated update highlighted area in the raster view - If less than the size required pad most significant bits Display: A representation in each major c data type (ie: uint, int, float, double, char, etc.)