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AIL-framework
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AIL-framework/bin/Duplicates.py

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#!/usr/bin/env python3
# -*-coding:UTF-8 -*
"""
The Duplicate module
====================
This huge module is, in short term, checking duplicates.
Its input comes from other modules, namely:
Credential, CreditCard, Keys, Mails, SQLinjectionDetection, CVE and Phone
This one differ from v1 by only using redis and not json file stored on disk
Perform comparisions with ssdeep and tlsh
Requirements:
-------------
"""
import redis
import os
import time
from datetime import datetime, timedelta
import json
import ssdeep
import tlsh
from packages import Paste
from pubsublogger import publisher
from Helper import Process
if __name__ == "__main__":
publisher.port = 6380
publisher.channel = "Script"
config_section = 'Duplicates'
p = Process(config_section)
maximum_month_range = int(p.config.get("Modules_Duplicates", "maximum_month_range"))
threshold_duplicate_ssdeep = int(p.config.get("Modules_Duplicates", "threshold_duplicate_ssdeep"))
threshold_duplicate_tlsh = int(p.config.get("Modules_Duplicates", "threshold_duplicate_tlsh"))
threshold_set = {}
threshold_set['ssdeep'] = threshold_duplicate_ssdeep
threshold_set['tlsh'] = threshold_duplicate_tlsh
min_paste_size = float(p.config.get("Modules_Duplicates", "min_paste_size"))
# REDIS #
dico_redis = {}
date_today = datetime.today()
for year in range(2013, date_today.year+1):
for month in range(0, 13):
dico_redis[str(year)+str(month).zfill(2)] = redis.StrictRedis(
host=p.config.get("ARDB_DB", "host"),
port=p.config.get("ARDB_DB", "port"),
db=str(year) + str(month),
decode_responses=True)
# FUNCTIONS #
publisher.info("Script duplicate started")
while True:
try:
hash_dico = {}
dupl = set()
dico_range_list = []
x = time.time()
message = p.get_from_set()
if message is not None:
path = message
PST = Paste.Paste(path)
else:
publisher.debug("Script Attribute is idling 10s")
print('sleeping')
time.sleep(10)
continue
# the paste is too small
if (PST._get_p_size() < min_paste_size):
continue
PST._set_p_hash_kind("ssdeep")
PST._set_p_hash_kind("tlsh")
# Assignate the correct redis connexion
r_serv1 = dico_redis[PST.p_date.year + PST.p_date.month]
# Creating the dico name: yyyymm
# Get the date of the range
date_range = date_today - timedelta(days = maximum_month_range*30.4166666)
num_of_month = (date_today.year - date_range.year)*12 + (date_today.month - date_range.month)
for diff_month in range(0, num_of_month+1):
curr_date_range = date_today - timedelta(days = diff_month*30.4166666)
to_append = str(curr_date_range.year)+str(curr_date_range.month).zfill(2)
dico_range_list.append(to_append)
# Use all dico in range
dico_range_list = dico_range_list[0:maximum_month_range]
# UNIQUE INDEX HASHS TABLE
yearly_index = str(date_today.year)+'00'
r_serv0 = dico_redis[yearly_index]
r_serv0.incr("current_index")
index = (r_serv0.get("current_index")) + str(PST.p_date)
# Open selected dico range
opened_dico = []
for dico_name in dico_range_list:
opened_dico.append([dico_name, dico_redis[dico_name]])
# retrieve hash from paste
paste_hashes = PST._get_p_hash()
# Go throught the Database of the dico (of the month)
for curr_dico_name, curr_dico_redis in opened_dico:
for hash_type, paste_hash in paste_hashes.items():
for dico_hash in curr_dico_redis.smembers('HASHS_'+hash_type):
try:
if hash_type == 'ssdeep':
percent = 100-ssdeep.compare(dico_hash, paste_hash)
else:
percent = tlsh.diffxlen(dico_hash, paste_hash)
if percent > 100:
percent = 100
threshold_duplicate = threshold_set[hash_type]
if percent < threshold_duplicate:
percent = 100 - percent if hash_type == 'ssdeep' else percent #recovert the correct percent value for ssdeep
# Go throught the Database of the dico filter (month)
r_serv_dico = dico_redis[curr_dico_name]
# index of paste
index_current = r_serv_dico.get(dico_hash)
index_current = index_current
paste_path = r_serv_dico.get(index_current)
paste_path = paste_path
paste_date = r_serv_dico.get(index_current+'_date')
paste_date = paste_date
paste_date = paste_date if paste_date != None else "No date available"
if paste_path != None:
if paste_path != PST.p_rel_path:
hash_dico[dico_hash] = (hash_type, paste_path, percent, paste_date)
print('['+hash_type+'] '+'comparing: ' + str(PST.p_rel_path) + ' and ' + str(paste_path) + ' percentage: ' + str(percent))
except Exception:
print('hash not comparable, bad hash: '+dico_hash+' , current_hash: '+paste_hash)
# Add paste in DB after checking to prevent its analysis twice
# hash_type_i -> index_i AND index_i -> PST.PATH
r_serv1.set(index, PST.p_rel_path)
r_serv1.set(index+'_date', PST._get_p_date())
r_serv1.sadd("INDEX", index)
# Adding hashes in Redis
for hash_type, paste_hash in paste_hashes.items():
r_serv1.set(paste_hash, index)
#bad hash
if paste_hash == '':
print('bad Hash: ' + hash_type)
else:
r_serv1.sadd("HASHS_"+hash_type, paste_hash)
##################### Similarity found #######################
# if there is data in this dictionnary
if len(hash_dico) != 0:
# paste_tuple = (hash_type, date, paste_path, percent)
for dico_hash, paste_tuple in hash_dico.items():
dupl.add(paste_tuple)
# Creating the object attribute and save it.
to_print = 'Duplicate;{};{};{};'.format(
PST.p_source, PST.p_date, PST.p_name)
if dupl != []:
dupl = list(dupl)
PST.__setattr__("p_duplicate", dupl)
PST.save_attribute_duplicate(dupl)
PST.save_others_pastes_attribute_duplicate(dupl)
publisher.info('{}Detected {};{}'.format(to_print, len(dupl), PST.p_rel_path))
print('{}Detected {}'.format(to_print, len(dupl)))
print('')
y = time.time()
publisher.debug('{}Processed in {} sec'.format(to_print, y-x))
except IOError:
to_print = 'Duplicate;{};{};{};'.format(
PST.p_source, PST.p_date, PST.p_name)
print("CRC Checksum Failed on :", PST.p_rel_path)
publisher.error('{}CRC Checksum Failed'.format(to_print))
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