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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
44 lines
No EOL
1.1 KiB
Python
Executable file
44 lines
No EOL
1.1 KiB
Python
Executable file
#!/usr/bin/python2.7
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# -*-coding:UTF-8 -*
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from packages.lib_redis_insert 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 Add to a temporary list the hash
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of wholes files and compare the new hash to the element of this
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list. If the hash is already inside, the file is deleted
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otherwise the hash is added in the list.''',
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epilog = '''This script need Redis to be populated before by
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./Dir.py''')
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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('-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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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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remove_pure_doppelganger(r, args.nbp)
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if __name__ == "__main__":
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main() |