mirror of
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
97 lines
2.5 KiB
Python
Executable file
97 lines
2.5 KiB
Python
Executable file
#!/usr/bin/python2.7
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# -*-coding:UTF-8 -*
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import redis, argparse, zmq, ConfigParser, time, os
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from pubsublogger import publisher
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from packages import ZMQ_PubSub
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import texttable
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import numpy as np
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import matplotlib.pyplot as plt
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from pylab import *
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def main():
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"""Main Function"""
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# CONFIG #
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cfg = ConfigParser.ConfigParser()
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cfg.read('./packages/config.cfg')
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# SCRIPT PARSER #
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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.''',
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epilog = '''''')
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parser.add_argument('-f',
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type = str,
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metavar = "filename",
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default = "figure",
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help = 'The absolute path name of the "figure.png"',
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action = 'store')
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args = parser.parse_args()
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# REDIS #
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r_serv = redis.StrictRedis(
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host = cfg.get("Redis_Level_DB_Hashs", "host"),
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port = cfg.getint("Redis_Level_DB_Hashs", "port"),
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db = cfg.getint("Redis_Level_DB_Hashs", "db"))
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# LOGGING #
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publisher.channel = "Graph"
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# FUNCTIONS #
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publisher.info("""Creating the Repartition Graph""")
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total_list = []
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codepad_list = []
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pastie_list = []
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pastebin_list = []
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for hash in r_serv.keys():
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total_list.append(r_serv.scard(hash))
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code = 0
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pastie = 0
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pastebin = 0
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for paste in r_serv.smembers(hash):
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source = paste.split("/")[5]
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if source == "codepad.org":
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code = code + 1
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elif source == "pastie.org":
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pastie = pastie + 1
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elif source == "pastebin.com":
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pastebin = pastebin + 1
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codepad_list.append(code)
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pastie_list.append(pastie)
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pastebin_list.append(pastebin)
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codepad_list.sort(reverse = True)
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pastie_list.sort(reverse = True)
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pastebin_list.sort(reverse = True)
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total_list.sort(reverse = True)
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plt.plot(codepad_list, 'b', label='Codepad.org')
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plt.plot(pastebin_list, 'g', label='Pastebin.org')
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plt.plot(pastie_list, 'y', label='Pastie.org')
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plt.plot(total_list, 'r', label='Total')
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plt.xscale('log')
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plt.xlabel('Hashs')
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plt.ylabel('Occur[Hash]')
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plt.title('Repartition')
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plt.legend()
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plt.grid()
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plt.tight_layout()
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plt.savefig(args.f+".png", dpi=None, facecolor='w', edgecolor='b',
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orientation='portrait', papertype=None, format="png",
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transparent=False, bbox_inches=None, pad_inches=0.1,
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frameon=True)
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if __name__ == "__main__":
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main()
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