#!/usr/bin/env python3 # Autodict-QL - Optimal token generation for fuzzing # Part of AFL++ Project # Author : Microsvuln - Arash.vre@gmail.com import os import string import binascii import codecs import errno import struct import argparse import re from binascii import unhexlify def ensure_dir(dir): try: os.makedirs(dir) except OSError as e: if e.errno != errno.EEXIST: raise def parse_args(): parser = argparse.ArgumentParser(description=( "Helper - Specify input file analysis and output folder to save corpus for strings in the overall project --------------------------------------------------------------------------- Example usage : python2 thisfile.py outdir str.txt" )) parser.add_argument("corpdir", help="The path to the corpus directory to generate strings.") parser.add_argument("infile", help="Specify file output of codeql analysis - ex. ooo-atr.txt, analysis take place on this file, example : python2 thisfile.py outdir strings.txt") return parser.parse_args() def do_string_analysis(corpdir, infile1): with open(infile1, "r") as f1: lines = f1.readlines()[1:] f1.close() new_lst1 = [] n = 1 for i, num1 in enumerate(lines): if i != 0: new_lst1.append(num1) print("num : %s" % num1) str11 = str(num1) str11 = str11.replace("|","") str11 = str11.replace("\n","") str11 = str11.lstrip() str11 = str11.rstrip() print("all strings : %s" % str11) str11 = str(str11) if ((" " in str11 ) or (")" in str11) or ("(" in str11)): print("Space / Paranthesis String : %s" % str11) else : with open(corpdir+'/strcmp-str{0}'.format(n), 'w') as file: file.write(str11) print("AFL++ Autodict-QL by Microsvuln : Writing Token : %s" % str11) n=n+1 def main(): args = parse_args() ensure_dir(args.corpdir) do_string_analysis(args.corpdir, args.infile) if __name__ == '__main__': main()