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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
46 lines
1.2 KiB
Python
Executable file
46 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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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's here to monitor some script which take time
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and lauched in parallel, You can display which process is running on which
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paste and how much time it spent processing it''',
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epilog = 'example : ./Display_pid -p pid -db 1 -d remain')
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parser.add_argument('-d',
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type = str,
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default = 'all',
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choices=['paste', 'up', 'start', 'kb', 'all', 'pid', 'prg', 'remain', 'processed'],
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help = 'Which info to display ?',
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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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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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display_listof_pid(r, args.d)
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if __name__ == "__main__":
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main()
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