#!/usr/bin/env python3 # Autodict-QL - Optimal token generation for fuzzing # Part of AFL++ Project # Author : Microsvuln - Arash.vre@gmail.com import string import os import binascii import codecs import struct import errno import argparse import re import base64 from binascii import unhexlify def parse_args(): parser = argparse.ArgumentParser(description=( "Helper - Specify input file to analysis and output folder to save corpdirus for constants in the overall project ------- Example usage : python2 thisfile.py outdir o.txt")) parser.add_argument("corpdir", help="The path to the corpus directory to generate files.") parser.add_argument("infile", help="Specify file output of codeql analysis - ex. ooo-hex.txt, analysis take place on this file, example : python2 thisfile.py outdir out.txt") return parser.parse_args() def ensure_dir(dir): try: os.makedirs(dir) except OSError as e: if e.errno == errno.EEXIST: #print "[-] Directory exists, specify another directory" exit(1) def do_analysis1(corpdir, infile): with open(infile, "rb") as f: lines = f.readlines()[1:] f.close() new_lst = [] n = 1 for i, num in enumerate(lines): if i != 0: new_lst.append(num) str1 = str(num) print ("num is " + str1) str1 = str1.rstrip('\n\n') #str1 = str1.replace("0x",""); str1 = str1.replace("|","") str1 = str1.rstrip('\r\n') str1 = str1.rstrip('\n') str1 = str1.replace(" ","") #str1 = str1.translate(None, string.punctuation) translator=str.maketrans('','',string.punctuation) str1=str1.translate(translator) str1 = str1[1:] str1 = str1[:-1] print("After cleanup : " + str1) if (str1 != '0') and (str1 != 'ffffffff') and (str1 != 'fffffffe') or (len(str1) == 4) or (len(str1) == 8): print ("first : "+str1) if len(str1) > 8 : str1 = str1[:-1] elif (len(str1) == 5) : str1 = str1 = "0" try: #str1 = str1.decode("hex") with open(corpdir+'/lit-seed{0}'.format(n), 'w') as file: str1 = str1.replace("0x",""); print (str1) str1 = int(str1,base=16) str1 = str1.to_bytes(4, byteorder='little') file.write(str(str1)) file.close() with open (corpdir+'/lit-seed{0}'.format(n), 'r') as q : a = q.readline() a = a[1:] print ("AFL++ Autodict-QL by Microsvuln : Writing Token :" + str(a)) q.close() with open (corpdir+'/lit-seed{0}'.format(n), 'w') as w1 : w1.write(str(a)) print ("Done!") w1.close() except: print("Error!") n = n+1 def main(): args = parse_args() ensure_dir(args.corpdir) do_analysis1(args.corpdir, args.infile) if __name__ == '__main__': main()