mirror of https://github.com/CIRCL/AIL-framework
97 lines
2.7 KiB
Python
Executable File
97 lines
2.7 KiB
Python
Executable File
#!/usr/bin/python2.7
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# -*-coding:UTF-8 -*
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import redis
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import argparse
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import ConfigParser
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from datetime import datetime
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from pubsublogger import publisher
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import matplotlib.pyplot as plt
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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 Leak framework.''',
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epilog='''''')
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parser.add_argument('-f', type=str, metavar="filename", 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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parser.add_argument('-y', '--year', type=int, required=False, default=None, help='The date related to the DB')
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args = parser.parse_args()
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# REDIS #
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# port generated automatically depending on the date
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curYear = datetime.now().year if args.year is None else args.year
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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=curYear,
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db=cfg.getint("Redis_Level_DB_Hashs", "db"))
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# LOGGING #
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publisher.port = 6380
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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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