Add python scripts

Add python scripts

utils/autodict_ql/memcmp-strings.py

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+#!/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+'/memcmp-str{0}'.format(n), 'w') as file:                    
+                            file.write(str11)
+                            print("Hahaha : %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()

utils/autodict_ql/stan-strings.py

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+#!/usr/bin/env python3
+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)) or ("<" in str11) or (">" in str11) :
+                    print("Space / Paranthesis String : %s" % str11)
+                else :
+                    with open(corpdir+'/seed-str{0}'.format(n), 'w') as file:                    
+                            file.write(str11)
+                            print("Hahaha : %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()

utils/autodict_ql/strcmp-strings.py

@@ -0,0 +1,60 @@
+#!/usr/bin/env python3
+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("Hahaha : %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()

utils/autodict_ql/strncmp-strings.py

@@ -0,0 +1,64 @@
+#!/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+'/strncmp-str{0}'.format(n), 'w') as file:                    
+                            file.write(str11)
+                            print("Hahaha : %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()