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https://github.com/ail-project/ail-framework.git
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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
128 lines
3.8 KiB
Python
Executable file
128 lines
3.8 KiB
Python
Executable file
#!/usr/bin/env python2
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# -*-coding:UTF-8 -*
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"""
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The ZMQ_PubSub_Lines Module
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============================
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This module is consuming the Redis-list created by the ZMQ_PubSub_Line_Q Module.
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It perform a sorting on the line's length and publish/forward them to differents
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channels:
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*Channel 1 if max length(line) < max
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*Channel 2 if max length(line) > max
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The collected informations about the processed pastes
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(number of lines and maximum length line) are stored in Redis.
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..note:: Module ZMQ_Something_Q and ZMQ_Something are closely bound, always put
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the same Subscriber name in both of them.
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Requirements
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------------
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*Need running Redis instances. (LevelDB & Redis)
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*Need the ZMQ_PubSub_Line_Q Module running to be able to work properly.
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"""
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import redis, argparse, zmq, ConfigParser, time
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from packages import Paste as P
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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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# 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('-max',
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type = int,
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default = 500,
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help = 'The limit between "short lines" and "long lines" (500)',
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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_Data_Merging", "host"),
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port = cfg.getint("Redis_Data_Merging", "port"),
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db = cfg.getint("Redis_Data_Merging", "db"))
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r_serv1 = 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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p_serv = r_serv.pipeline(False)
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# LOGGING #
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publisher.channel = "Script"
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# ZMQ #
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#Subscriber
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channel = cfg.get("PubSub_Global", "channel")
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subscriber_name = "line"
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subscriber_config_section = "PubSub_Global"
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#Publisher
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publisher_config_section = "PubSub_Longlines"
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publisher_name = "publine"
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Sub = ZMQ_PubSub.ZMQSub(configfile, subscriber_config_section, channel, subscriber_name)
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Pub = ZMQ_PubSub.ZMQPub(configfile, publisher_config_section, publisher_name)
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channel_0 = cfg.get("PubSub_Longlines", "channel_0")
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channel_1 = cfg.get("PubSub_Longlines", "channel_1")
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# FUNCTIONS #
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publisher.info("""Lines script Subscribed to channel {0} and Start to publish
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on channel {1}, {2}""".format(cfg.get("PubSub_Global", "channel"),
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cfg.get("PubSub_Longlines", "channel_0"),
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cfg.get("PubSub_Longlines", "channel_1")))
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while True:
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try:
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message = Sub.get_msg_from_queue(r_serv1)
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if message != None:
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PST = P.Paste(message.split(" ",-1)[-1])
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else:
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if r_serv1.sismember("SHUTDOWN_FLAGS", "Lines"):
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r_serv1.srem("SHUTDOWN_FLAGS", "Lines")
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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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publisher.debug("Tokeniser is idling 10s")
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time.sleep(10)
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continue
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lines_infos = PST.get_lines_info()
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PST.save_attribute_redis(r_serv, "p_nb_lines", lines_infos[0])
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PST.save_attribute_redis(r_serv, "p_max_length_line", lines_infos[1])
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r_serv.sadd("Pastes_Objects",PST.p_path)
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if lines_infos[1] >= args.max:
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msg = channel_0+" "+PST.p_path
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else:
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msg = channel_1+" "+PST.p_path
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Pub.send_message(msg)
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except IOError:
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print "CRC Checksum Error on : ", PST.p_path
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pass
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if __name__ == "__main__":
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main()
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