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Diffstat (limited to 'utils/autodict_ql/litan.py')
-rw-r--r-- | utils/autodict_ql/litan.py | 112 |
1 files changed, 112 insertions, 0 deletions
diff --git a/utils/autodict_ql/litan.py b/utils/autodict_ql/litan.py new file mode 100644 index 00000000..7033d363 --- /dev/null +++ b/utils/autodict_ql/litan.py @@ -0,0 +1,112 @@ +#!/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() |