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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
61 lines
1.5 KiB
Python
Executable file
61 lines
1.5 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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from pubsublogger import publisher
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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 sets in redis as much as category
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defined in the file given by the argument -l ''',
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epilog = '''Example : seq 5000 | parallel -n0 -j 10
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./classify_Paste_Token.py -nbp 200''')
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parser.add_argument('-l',
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type = str,
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default = "../files/list_categ_files",
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help = 'Path to the list_categ_files (../files/list_categ_files)',
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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 (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('-s',
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help = 'Datastruct type, swapping between keys & members',
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action = 'store_true')
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parser.add_argument('-nbp',
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type = int,
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default = 200,
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help = 'Nbpaste',
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action = 'store')
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parser.add_argument('-set',
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type = str,
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default = 'filelist',
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help = 'The name of the list in redis which contain the filename to tokenise',
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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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publisher.channel = "youpi"
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classify_token_paste(r, args.l, args.s, args.nbp, args.set)
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if __name__ == "__main__":
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main()
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