mirror of https://github.com/CIRCL/AIL-framework
chg: [statistics] clean scripts
parent
ea3d2c1977
commit
204e996fc3
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@ -40,3 +40,4 @@ doc/all_modules.txt
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# auto generated
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doc/module-data-flow.png
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doc/data-flow.png
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doc/statistics
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@ -62,7 +62,7 @@ def check_all_iban(l_iban, paste, filename):
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if is_valid_iban(iban):
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print('------')
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nb_valid_iban = nb_valid_iban + 1
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server_statistics.hincrby('iban_by_tld:'+date, iban[0:2], 1)
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server_statistics.hincrby('iban_by_country:'+date, iban[0:2], 1)
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if(nb_valid_iban > 0):
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to_print = 'Iban;{};{};{};'.format(paste.p_source, paste.p_date, paste.p_name)
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@ -10,8 +10,6 @@ the out output of the Global module.
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"""
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import time
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import datetime
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import redis
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from packages import Paste
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from pubsublogger import publisher
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@ -28,13 +26,6 @@ def main():
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p = Process(config_section)
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addr_dns = p.config.get("DomClassifier", "dns")
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# ARDB #
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server_statistics = redis.StrictRedis(
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host=p.config.get("ARDB_Statistics", "host"),
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port=p.config.getint("ARDB_Statistics", "port"),
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db=p.config.getint("ARDB_Statistics", "db"),
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decode_responses=True)
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publisher.info("""ZMQ DomainClassifier is Running""")
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c = DomainClassifier.domainclassifier.Extract(rawtext="", nameservers=[addr_dns])
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@ -55,31 +46,20 @@ def main():
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paste = PST.get_p_content()
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mimetype = PST._get_p_encoding()
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nb_domain = 0
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nb_tld_domain = 0
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if mimetype == "text/plain":
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c.text(rawtext=paste)
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c.potentialdomain()
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valid = c.validdomain(rtype=['A'], extended=True)
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nb_domain = len(set(valid))
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if nb_domain > 0:
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c.validdomain(rtype=['A'], extended=True)
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localizeddomains = c.include(expression=cc_tld)
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if localizeddomains:
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nb_tld_domain = len(set(localizeddomains))
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print(localizeddomains)
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publisher.warning('DomainC;{};{};{};Checked {} located in {};{}'.format(
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PST.p_source, PST.p_date, PST.p_name, localizeddomains, cc_tld, PST.p_path))
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localizeddomains = c.localizedomain(cc=cc)
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if localizeddomains:
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nb_tld_domain = nb_tld_domain + len(set(localizeddomains))
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print(localizeddomains)
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publisher.warning('DomainC;{};{};{};Checked {} located in {};{}'.format(
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PST.p_source, PST.p_date, PST.p_name, localizeddomains, cc, PST.p_path))
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date = datetime.datetime.now().strftime("%Y%m")
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server_statistics.hincrby('domain_by_tld:'+date, 'ALL', nb_domain)
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if nb_tld_domain > 0:
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server_statistics.hincrby('domain_by_tld:'+date, cc, nb_tld_domain)
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except IOError:
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print("CRC Checksum Failed on :", PST.p_path)
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publisher.error('Duplicate;{};{};{};CRC Checksum Failed'.format(
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@ -0,0 +1,70 @@
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#!/usr/bin/env python3
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# -*-coding:UTF-8 -*
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from packages import Paste
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from Helper import Process
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from pubsublogger import publisher
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import time
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import redis
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import newspaper
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from collections import defaultdict
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from newspaper import fulltext
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if __name__ == '__main__':
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publisher.port = 6380
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publisher.channel = "Script"
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publisher.info("Script DomainSubject started")
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config_section = 'DomainSubject'
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p = Process(config_section)
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r_onion = redis.StrictRedis(
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host=p.config.get("ARDB_Onion", "host"),
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port=p.config.getint("ARDB_Onion", "port"),
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db=p.config.getint("ARDB_Onion", "db"),
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decode_responses=True)
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while True:
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# format: <domain>
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domain = p.get_from_set()
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domain = 'easycoinsayj7p5l.onion'
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if domain is not None:
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#retrieve all crawled pastes
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set_crawles_pastes = r_onion.smembers('temp:crawled_domain_pastes:{}'.format(domain))
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if set_crawles_pastes:
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dict_keyword = defaultdict(int)
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for paste_path in set_crawles_pastes:
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paste = Paste.Paste(paste_path)
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content = paste.get_p_content()
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article = newspaper.Article(url='')
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article.set_html(content)
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article.parse()
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article.nlp()
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for keyword in article.keywords:
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dict_keyword[keyword] += 1
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if dict_keyword:
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res = [(k, dict_keyword[k]) for k in sorted(dict_keyword, key=dict_keyword.get, reverse=True)]
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for item in res:
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print(item)
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else:
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print('no keywords found')
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time.sleep(60)
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else:
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time.sleep(5)
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23
bin/Phone.py
23
bin/Phone.py
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@ -11,9 +11,7 @@ It apply phone number regexes on paste content and warn if above a threshold.
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"""
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import datetime
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import time
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import redis
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import re
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import phonenumbers
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from packages import Paste
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@ -25,10 +23,8 @@ def search_phone(message):
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paste = Paste.Paste(message)
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content = paste.get_p_content()
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# regex to find phone numbers, may raise many false positives (shalt thou seek optimization, upgrading is required)
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#reg_phone = re.compile(r'(\+\d{1,4}(\(\d\))?\d?|0\d?)(\d{6,8}|([-/\. ]{1}\d{2,3}){3,4})')
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#reg_phone = re.compile(r'(\+\d{1,4}(\(\d\))?\d?|0\d?)(\d{6,8}|([-/\. ]{1}\(?\d{2,4}\)?){3,4})')
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# use non capturing group
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reg_phone = re.compile(r'(?:\+\d{1,4}(?:\(\d\))?\d?|0\d?)(?:\d{6,8}|(?:[-/\. ]{1}\(?\d{2,4}\)?){3,4})')
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reg_phone = re.compile(r'(\+\d{1,4}(\(\d\))?\d?|0\d?)(\d{6,8}|([-/\. ]{1}\d{2,3}){3,4})')
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reg_phone = re.compile(r'(\+\d{1,4}(\(\d\))?\d?|0\d?)(\d{6,8}|([-/\. ]{1}\(?\d{2,4}\)?){3,4})')
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# list of the regex results in the Paste, may be null
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results = reg_phone.findall(content)
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@ -49,23 +45,17 @@ def search_phone(message):
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for phone_number in results:
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try:
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x = phonenumbers.parse(phone_number, None)
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print(x)
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country_code = x.country_code
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if stats.get(country_code) is None:
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stats[country_code] = 1
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else:
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stats[country_code] = stats[country_code] + 1
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except Exception as e:
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#print(e)
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except:
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pass
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date = datetime.datetime.now().strftime("%Y%m")
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for country_code in stats:
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print(country_code)
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if stats[country_code] > 4:
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publisher.warning('{} contains Phone numbers with country code {}'.format(paste.p_name, country_code))
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if __name__ == '__main__':
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# If you wish to use an other port of channel, do not forget to run a subscriber accordingly (see launch_logs.sh)
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# Port of the redis instance used by pubsublogger
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@ -82,13 +72,6 @@ if __name__ == '__main__':
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# Sent to the logging a description of the module
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publisher.info("Run Phone module")
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# ARDB #
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server_statistics = redis.StrictRedis(
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host=p.config.get("ARDB_Statistics", "host"),
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port=p.config.getint("ARDB_Statistics", "port"),
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db=p.config.getint("ARDB_Statistics", "db"),
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decode_responses=True)
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# Endless loop getting messages from the input queue
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while True:
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# Get one message from the input queue
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@ -2,7 +2,9 @@
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# -*-coding:UTF-8 -*
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'''
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lu
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Create statistics pie charts by tld
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Default tld: lu
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'''
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import os
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@ -126,7 +128,7 @@ if __name__ == '__main__':
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parser = argparse.ArgumentParser(
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description='''This script is a part of the Analysis Information Leak
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framework. It create pie charts on a country statistics".''',
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framework. Create statistics pie charts".''',
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epilog='Example: ./create_lu_graph.py 0 lu now, create_lu_graph.py 0 lu 201807')
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parser.add_argument('type', type=int, default=0,
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@ -135,12 +137,11 @@ if __name__ == '__main__':
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1: credential_pie,
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2: mail_pie
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3: sqlinjection_pie,
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4: domain_pie,
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5: iban_pie,''',
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choices=[0, 1, 2, 3, 4, 5], action='store')
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4: iban_pie,''',
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choices=[0, 1, 2, 3, 4], action='store')
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parser.add_argument('country', type=str, default="de",
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help='''The country code, de:default''',
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parser.add_argument('country', type=str, default="lu",
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help='''The country code, lu:default''',
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action='store')
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parser.add_argument('date', type=str, default="now",
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@ -148,7 +149,7 @@ if __name__ == '__main__':
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args = parser.parse_args()
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path = os.path.join(os.environ['AIL_HOME'], 'doc') # path to module config file
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path = os.path.join(os.environ['AIL_HOME'], 'doc', 'statistics') # save path
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config_section = 'ARDB_Statistics'
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@ -171,7 +172,7 @@ if __name__ == '__main__':
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create_pie_chart(args.country, 'mail_by_tld:', date, "AIL: mail leak by tld", path, 'AIL_mail_by_tld.png')
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create_pie_chart(args.country, 'SQLInjection_by_tld:', date, "AIL: SQLInjection by tld", path, 'AIL_SQLInjection_by_tld.png')
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create_pie_chart(args.country.upper(), 'domain_by_tld:', date, "AIL: Domain by tld", path, 'AIL_domain_by_tld.png')
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create_pie_chart(args.country.upper(), 'iban_by_tld:', date, "AIL: Iban by tld", path, 'AIL_iban_by_tld.png')
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create_pie_chart(args.country.upper(), 'iban_by_country:', date, "AIL: Iban by country", path, 'AIL_iban_by_country.png')
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elif args.type == 1:
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create_pie_chart(args.country, 'credential_by_tld:', date, "AIL: Credential leak by tld", path, 'AIL_credential_by_tld.png')
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elif args.type == 2:
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@ -179,6 +180,4 @@ if __name__ == '__main__':
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elif args.type == 3:
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create_pie_chart(args.country, 'SQLInjection_by_tld:', date, "AIL: sqlInjection by tld", path, 'AIL_sqlInjectionl_by_tld.png')
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elif args.type == 4:
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create_pie_chart(args.country.upper(), 'domain_by_tld:', date, "AIL: Domain by tld", path, 'AIL_domain_by_tld.png')
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elif args.type == 5:
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create_pie_chart(args.country.upper(), 'iban_by_tld:', date, "AIL: Iban by tld", path, 'AIL_iban_by_tld.png')
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create_pie_chart(args.country.upper(), 'iban_by_country:', date, "AIL: Iban by country", path, 'AIL_iban_by_country.png')
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