mirror of https://github.com/CIRCL/AIL-framework
139 lines
4.3 KiB
Python
Executable File
139 lines
4.3 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_Categ Module
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============================
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This module is consuming the Redis-list created by the ZMQ_PubSub_Tokenize_Q Module.
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Each words files created under /files/ are representing categories.
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This modules take these files and compare them to
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the stream of data given by the ZMQ_PubSub_Tokenize_Q Module.
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When a word from a paste match one or more of these words file, the filename of
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the paste is published/forwarded to the next modules.
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Each category (each files) are representing a dynamic channel.
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This mean that if you create 1000 files under /files/ you'll have 1000 channels
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where every time there is a matching word to a category, the paste containing
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this word will be pushed to this specific channel.
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..note:: The channel will have the name of the file created.
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Implementing modules can start here, create your own category file,
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and then create your own module to treat the specific paste matching this category.
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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. (Redis)
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*Categories files of words in /files/ need to be created
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*Need the ZMQ_PubSub_Tokenize_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('-l',
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type = str,
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default = "../files/list_categ_files",
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help = 'Path to the list_categ_files (../files/list_categ_files)',
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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_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 = "Script"
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# ZMQ #
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channel = cfg.get("PubSub_Words", "channel_0")
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subscriber_name = "categ"
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subscriber_config_section = "PubSub_Words"
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publisher_name = "pubcateg"
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publisher_config_section = "PubSub_Categ"
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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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# FUNCTIONS #
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publisher.info("Script Categ subscribed to channel {0}".format(cfg.get("PubSub_Words", "channel_0")))
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with open(args.l, 'rb') as L:
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tmp_dict = {}
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for num, fname in enumerate(L):
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#keywords temp list
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tmp_list = []
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with open(fname[:-1], 'rb') as LS:
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for num, kword in enumerate(LS):
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tmp_list.append(kword[:-1])
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tmp_dict[fname.split('/')[-1][:-1]] = tmp_list
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paste_words = []
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message = Sub.get_msg_from_queue(r_serv)
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prec_filename = None
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while True:
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if message != None:
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channel, filename, word, score = message.split()
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if prec_filename == None or filename != prec_filename:
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PST = P.Paste(filename)
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prec_filename = filename
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for categ, list in tmp_dict.items():
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if word.lower() in list:
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channel = categ
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msg = channel+" "+PST.p_path+" "+word+" "+score
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Pub.send_message(msg)
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#dico_categ.add(categ)
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publisher.info('{0};{1};{2};{3};{4}'.format("Categ", PST.p_source, PST.p_date, PST.p_name,"Detected "+score+" "+"\""+word+"\""))
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else:
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if r_serv.sismember("SHUTDOWN_FLAGS", "Categ"):
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r_serv.srem("SHUTDOWN_FLAGS", "Categ")
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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("Script Categ is Idling 10s")
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time.sleep(10)
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message = Sub.get_msg_from_queue(r_serv)
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if __name__ == "__main__":
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main()
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