ail-framework/bin/tests/Classify_Paste_Token.py
Starow 1379ef705a Initial import of AIL framework - Analysis Information Leak framework
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
2014-08-06 11:43:40 +02:00

61 lines
1.5 KiB
Python
Executable file

#!/usr/bin/python2.7
# -*-coding:UTF-8 -*
from packages.lib_words import *
from packages.imported import *
from pubsublogger import publisher
def main():
"""Main Function"""
parser = argparse.ArgumentParser(
description = '''This script is a part of the Analysis Information Leak
framework. It create sets in redis as much as category
defined in the file given by the argument -l ''',
epilog = '''Example : seq 5000 | parallel -n0 -j 10
./classify_Paste_Token.py -nbp 200''')
parser.add_argument('-l',
type = str,
default = "../files/list_categ_files",
help = 'Path to the list_categ_files (../files/list_categ_files)',
action = 'store')
parser.add_argument('-db',
type = int,
default = 0,
help = 'The name of the Redis DB (default 0)',
choices=[0, 1, 2, 3, 4],
action = 'store')
parser.add_argument('-s',
help = 'Datastruct type, swapping between keys & members',
action = 'store_true')
parser.add_argument('-nbp',
type = int,
default = 200,
help = 'Nbpaste',
action = 'store')
parser.add_argument('-set',
type = str,
default = 'filelist',
help = 'The name of the list in redis which contain the filename to tokenise',
action = 'store')
args = parser.parse_args()
r = redis.StrictRedis(
host='localhost',
port=6379,
db=args.db)
p = r.pipeline(False)
publisher.channel = "youpi"
classify_token_paste(r, args.l, args.s, args.nbp, args.set)
if __name__ == "__main__":
main()