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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
57 lines
1.2 KiB
Python
Executable file
57 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 = '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 (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('-cvs',
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type = str,
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metavar = "filename",
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default = "wordstrendingdata",
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help = 'The name of the cvs file wanted to be created',
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action = 'store')
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parser.add_argument('f',
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type = str,
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help = 'The file with the list of words',
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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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p = r.pipeline(False)
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create_curve_with_word_file(r, args.cvs, args.f, args.y, args.m)
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if __name__ == "__main__":
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main()
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