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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
56 lines
1.3 KiB
Python
Executable file
56 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 = '''This script is a part of the Analysis Information Leak
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framework. It create an histogram which display the occurency
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of the words per day but also the intersection of day and day-1 of these
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occurencies''',
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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 processed.',
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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 processed.',
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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 = "filename",
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default = "figure",
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help = 'The absolute path name of the "figure.png"',
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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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p = r.pipeline(False)
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word_bar_graph(r,args.y,args.m, args.f)
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if __name__ == "__main__":
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main()
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