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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
42 lines
1 KiB
Python
Executable file
42 lines
1 KiB
Python
Executable file
#!/usr/bin/env python2
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# -*-coding:UTF-8 -*
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import redis, zmq, ConfigParser
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from packages import ZMQ_PubSub
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from pubsublogger import publisher
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configfile = './packages/config.cfg'
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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(configfile)
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# REDIS #
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r_serv = redis.StrictRedis(
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host = cfg.get("Redis_Queues", "host"),
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port = cfg.getint("Redis_Queues", "port"),
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db = cfg.getint("Redis_Queues", "db"))
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# LOGGING #
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publisher.channel = "Queuing"
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# ZMQ #
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Sub = ZMQ_PubSub.ZMQSub(configfile, "PubSub_Categ", "web_categ", "urls")
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# FUNCTIONS #
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publisher.info("""Suscribed to channel {0}""".format("web_categ"))
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while True:
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Sub.get_and_lpush(r_serv)
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if r_serv.sismember("SHUTDOWN_FLAGS", "Urls_Q"):
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r_serv.srem("SHUTDOWN_FLAGS", "Urls_Q")
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print "Shutdown Flag Up: Terminating"
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publisher.warning("Shutdown Flag Up: Terminating.")
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break
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if __name__ == "__main__":
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main()
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