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