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https://github.com/ail-project/ail-framework.git
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1379ef705a
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
52 lines
1.2 KiB
Python
Executable file
52 lines
1.2 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 = '''This script is a part of the Analysis Information
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Leak framework. It create in redis the intersection
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between all the days two by two of the date given in argument.''',
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epilog = '''The Redis database need to be populated by the script
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Wordsranking_Populate.py before using this one.''')
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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 (default 0)',
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choices=[0, 1, 2, 3, 4],
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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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parser.add_argument('-ow',
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help = 'trigger the overwritting mode',
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action = 'store_true')
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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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p = r.pipeline(False)
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redis_interbargraph_set(r, args.y, args.m, args.ow)
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if __name__ == "__main__":
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main()
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