def entropy(data): if not data: return 0 entropy = 0 for x in range(256): p_x = float(data.count(chr(x)))/len(data) if p_x > 0: entropy += - p_x * math.log(p_x, 2) return entropy
To master IDA Pro 7.5, start with:
Expanding its lineup of industry-leading decompilers, Hex-Rays added support for . ida pro 7.5
: Users could finally organize functions and names into folders, a huge win for managing massive projects with thousands of subroutines. def entropy(data): if not data: return 0 entropy