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AIL is a modular framework to analyse potential information leak from unstructured data source like pastes from Past ebin or similar services. AIL framework is flexible and can be extended to support other functionalities to mine sen sitive information
65 lines
No EOL
1.6 KiB
Python
Executable file
65 lines
No EOL
1.6 KiB
Python
Executable file
#!/usr/bin/python2.7
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# -*-coding:UTF-8 -*
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from packages.lib_gephi import *
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from packages.imported import *
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def main():
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"""Main Function"""
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parser = argparse.ArgumentParser(
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description = '''This script is a part of the Analysis Information
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Leak framework. It create a gephi graph to have a global
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view of the pastes but also which one are similar.''',
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epilog = '''The Redis database need to be populated by the script
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Populate.py before using this one.''')
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parser.add_argument('-t',
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type = int,
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default = 0,
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help = 'Type of the Redis population (Same arg than in Populate.py)',
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choices=[0, 2],
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action = 'store')
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parser.add_argument('-db',
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type = int,
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default = 0,
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help = 'The name of the Redis DB',
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choices=[0, 1, 2, 3, 4],
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action = 'store')
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parser.add_argument('-min',
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type = int,
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default = 3,
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help = 'minimum linked nodes (default 3)',
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action = 'store')
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parser.add_argument('-max',
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type = int,
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default = 50,
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help = 'maximum linked nodes created (execute top.py before for more info)',
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action = 'store')
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parser.add_argument('-p',
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type = str,
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default = '../graph/out',
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metavar = 'path',
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help = "pathname of the graph file created. ex: /home/graph",
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action = 'store')
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args = parser.parse_args()
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r = redis.StrictRedis(
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host='localhost',
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port=6379,
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db=args.db,
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unix_socket_path='/tmp/redis.sock')
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Gephi_Graph(r, args.p+".gexf", args.min, args.max, args.t)
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cprint("GRAPH CREATED AT:{0}.gexf".format(args.p),"green")
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if __name__ == "__main__":
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main()
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#OK |