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https://github.com/ail-project/ail-framework.git
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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
64 lines
1.3 KiB
Python
Executable file
64 lines
1.3 KiB
Python
Executable file
#!/usr/bin/python2.7
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# -*-coding:UTF-8 -*
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from packages.lib_words 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 = 'Analysis Information Leak framework',
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epilog = 'Thats drawing')
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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 To get the info (0)',
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choices=[0, 1, 2, 3, 4],
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action = 'store')
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parser.add_argument('-db1',
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type = int,
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default = 1,
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help = 'The name of the Redis DB To store (1)',
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choices=[0, 1, 2, 3, 4],
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action = 'store')
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parser.add_argument('f',
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type = str,
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metavar= "file",
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help = 'Words filename',
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action = 'store')
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parser.add_argument('y',
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type = int,
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metavar = "year",
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help = 'The year',
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action = 'store')
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parser.add_argument('m',
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type = int,
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metavar = "month",
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help = 'The month',
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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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r2 = redis.StrictRedis(
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host='localhost',
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port=6379,
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db=args.db1)
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p = r.pipeline(False)
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create_data_words_curve(r, r2, args.y, args.m, args.f)
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if __name__ == "__main__":
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main()
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