CIRCL
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AIL-framework
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Merge pull request #250 from CIRCL/statistic 

Statistics
pull/282/head
Alexandre Dulaunoy 2018-09-12 21:49:33 +02:00 committed by GitHub
parent 8259246f03 86cacbc51f
commit 21bcffd4c0
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12 changed files with 310 additions and 33 deletions
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2
.gitignore vendored
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@ -31,6 +31,7 @@ var/www/submitted
# Local config
bin/packages/config.cfg
bin/packages/config.cfg.backup
configs/keys
# installed files
@ -39,3 +40,4 @@ doc/all_modules.txt
# auto generated
doc/module-data-flow.png
doc/data-flow.png
doc/statistics

10
OVERVIEW.md
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@ -23,6 +23,15 @@ Redis and ARDB overview
ARDB overview
---------------------------
ARDB_DB
* DB 1 - Curve
* DB 2 - TermFreq
* DB 3 - Trending
* DB 4 - Sentiment
* DB 5 - TermCred
* DB 6 - Tags
* DB 7 - Metadata
* DB 8 - Statistics
* DB 7 - Metadata:
----------------------------------------- BASE64 ----------------------------------------
@ -62,4 +71,3 @@ ARDB overview
GET - 'base64_decoded:'+date nd_decoded
GET - 'binary_decoded:'+date nd_decoded

11
bin/BankAccount.py
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@ -11,6 +11,8 @@ It apply IBAN regexes on paste content and warn if above a threshold.
import redis
import time
import redis
import datetime
import re
import string
from itertools import chain
@ -54,11 +56,13 @@ def check_all_iban(l_iban, paste, filename):
iban = ''.join(e for e in iban if e.isalnum())
#iban = iban.upper()
res = iban_regex_verify.findall(iban)
date = datetime.datetime.now().strftime("%Y%m")
if res:
print('checking '+iban)
if is_valid_iban(iban):
print('------')
nb_valid_iban = nb_valid_iban + 1
server_statistics.hincrby('iban_by_country:'+date, iban[0:2], 1)
if(nb_valid_iban > 0):
to_print = 'Iban;{};{};{};'.format(paste.p_source, paste.p_date, paste.p_name)
@ -79,6 +83,13 @@ if __name__ == "__main__":
p = Process(config_section)
max_execution_time = p.config.getint("BankAccount", "max_execution_time")
# ARDB #
server_statistics = redis.StrictRedis(
host=p.config.get("ARDB_Statistics", "host"),
port=p.config.getint("ARDB_Statistics", "port"),
db=p.config.getint("ARDB_Statistics", "db"),
decode_responses=True)
publisher.info("BankAccount started")
message = p.get_from_set()

15
bin/Credential.py
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@ -28,6 +28,7 @@ import sys
from packages import Paste
from pubsublogger import publisher
from Helper import Process
import datetime
import re
import redis
from pyfaup.faup import Faup
@ -58,6 +59,12 @@ if __name__ == "__main__":
db=p.config.get("ARDB_TermCred", "db"),
decode_responses=True)
server_statistics = redis.StrictRedis(
host=p.config.get("ARDB_Statistics", "host"),
port=p.config.getint("ARDB_Statistics", "port"),
db=p.config.getint("ARDB_Statistics", "db"),
decode_responses=True)
criticalNumberToAlert = p.config.getint("Credential", "criticalNumberToAlert")
minTopPassList = p.config.getint("Credential", "minTopPassList")
@ -65,6 +72,7 @@ if __name__ == "__main__":
#regex_cred = "[a-zA-Z0-9._-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,6}:[a-zA-Z0-9\_\-]+"
regex_cred = "[a-zA-Z0-9\\._-]+@[a-zA-Z0-9\\.-]+\.[a-zA-Z]{2,6}[\\rn :\_\-]{1,10}[a-zA-Z0-9\_\-]+"
regex_site_for_stats = "@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,6}:"
while True:
message = p.get_from_set()
if message is None:
@ -132,6 +140,13 @@ if __name__ == "__main__":
if sites_set:
print("=======> Probably on : {}".format(', '.join(sites_set)))
date = datetime.datetime.now().strftime("%Y%m")
for cred in creds:
maildomains = re.findall("@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,20}", cred.lower())[0]
faup.decode(maildomains)
tld = faup.get()['tld']
server_statistics.hincrby('credential_by_tld:'+date, tld, 1)
else:
publisher.info(to_print)
print('found {} credentials'.format(len(creds)))

3
bin/Helper.py
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@ -111,7 +111,7 @@ class PubSub(object):
class Process(object):
def __init__(self, conf_section):
def __init__(self, conf_section, module=True):
configfile = os.path.join(os.environ['AIL_BIN'], 'packages/config.cfg')
if not os.path.exists(configfile):
raise Exception('Unable to find the configuration file. \
@ -125,6 +125,7 @@ class Process(object):
self.subscriber_name = conf_section
self.pubsub = None
if module:
if self.modules.has_section(conf_section):
self.pubsub = PubSub()
else:

14
bin/LibInjection.py
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@ -12,6 +12,8 @@ It tries to identify SQL Injections with libinjection.
"""
import time
import datetime
import redis
import string
import urllib.request
import re
@ -54,6 +56,12 @@ def analyse(url, path):
msg = 'infoleak:automatic-detection="sql-injection";{}'.format(path)
p.populate_set_out(msg, 'Tags')
#statistics
tld = url_parsed['tld']
if tld is not None:
date = datetime.datetime.now().strftime("%Y%m")
server_statistics.hincrby('SQLInjection_by_tld:'+date, tld, 1)
if __name__ == '__main__':
# If you wish to use an other port of channel, do not forget to run a subscriber accordingly (see launch_logs.sh)
# Port of the redis instance used by pubsublogger
@ -70,6 +78,12 @@ if __name__ == '__main__':
# Sent to the logging a description of the module
publisher.info("Try to detect SQL injection with LibInjection")
server_statistics = redis.StrictRedis(
host=p.config.get("ARDB_Statistics", "host"),
port=p.config.getint("ARDB_Statistics", "port"),
db=p.config.getint("ARDB_Statistics", "db"),
decode_responses=True)
faup = Faup()
# Endless loop getting messages from the input queue

31
bin/Mail.py
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@ -2,7 +2,7 @@
# -*-coding:UTF-8 -*
"""
The CreditCards Module
The Mail Module
======================
This module is consuming the Redis-list created by the Categ module.
@ -12,13 +12,15 @@ It apply mail regexes on paste content and warn if above a threshold.
"""
import redis
import pprint
import time
import datetime
import dns.exception
from packages import Paste
from packages import lib_refine
from pubsublogger import publisher
from pyfaup.faup import Faup
from Helper import Process
if __name__ == "__main__":
@ -27,6 +29,8 @@ if __name__ == "__main__":
config_section = 'Mail'
faup = Faup()
p = Process(config_section)
addr_dns = p.config.get("Mail", "dns")
@ -36,6 +40,12 @@ if __name__ == "__main__":
port=p.config.getint("Redis_Cache", "port"),
db=p.config.getint("Redis_Cache", "db"),
decode_responses=True)
# ARDB #
server_statistics = redis.StrictRedis(
host=p.config.get("ARDB_Statistics", "host"),
port=p.config.getint("ARDB_Statistics", "port"),
db=p.config.getint("ARDB_Statistics", "db"),
decode_responses=True)
# FUNCTIONS #
publisher.info("Suscribed to channel mails_categ")
@ -66,7 +76,6 @@ if __name__ == "__main__":
PST.save_attribute_redis(channel, (MX_values[0],
list(MX_values[1])))
pprint.pprint(MX_values)
to_print = 'Mails;{};{};{};Checked {} e-mail(s);{}'.\
format(PST.p_source, PST.p_date, PST.p_name,
MX_values[0], PST.p_path)
@ -79,12 +88,22 @@ if __name__ == "__main__":
msg = 'infoleak:automatic-detection="mail";{}'.format(filename)
p.populate_set_out(msg, 'Tags')
#create country statistics
date = datetime.datetime.now().strftime("%Y%m")
for mail in MX_values[1]:
print('mail;{};{};{}'.format(MX_values[1][mail], mail, PST.p_date))
p.populate_set_out('mail;{};{};{}'.format(MX_values[1][mail], mail, PST.p_date), 'ModuleStats')
faup.decode(mail)
tld = faup.get()['tld']
server_statistics.hincrby('mail_by_tld:'+date, tld, MX_values[1][mail])
else:
publisher.info(to_print)
#Send to ModuleStats
#create country statistics
for mail in MX_values[1]:
print('mail;{};{};{}'.format(1, mail, PST.p_date))
p.populate_set_out('mail;{};{};{}'.format(1, mail, PST.p_date), 'ModuleStats')
print('mail;{};{};{}'.format(MX_values[1][mail], mail, PST.p_date))
p.populate_set_out('mail;{};{};{}'.format(MX_values[1][mail], mail, PST.p_date), 'ModuleStats')
prec_filename = filename

15
bin/SQLInjectionDetection.py
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@ -12,6 +12,8 @@ It test different possibility to makes some sqlInjection.
"""
import time
import datetime
import redis
import string
import urllib.request
import re
@ -85,6 +87,13 @@ def analyse(url, path):
msg = 'infoleak:automatic-detection="sql-injection";{}'.format(path)
p.populate_set_out(msg, 'Tags')
#statistics
tld = url_parsed['tld']
if tld is not None:
date = datetime.datetime.now().strftime("%Y%m")
server_statistics.hincrby('SQLInjection_by_tld:'+date, tld, 1)
else:
print("Potential SQL injection:")
print(urllib.request.unquote(url))
@ -143,6 +152,12 @@ if __name__ == '__main__':
# Sent to the logging a description of the module
publisher.info("Try to detect SQL injection")
server_statistics = redis.StrictRedis(
host=p.config.get("ARDB_Statistics", "host"),
port=p.config.getint("ARDB_Statistics", "port"),
db=p.config.getint("ARDB_Statistics", "db"),
decode_responses=True)
faup = Faup()
# Endless loop getting messages from the input queue

21
bin/packages/lib_refine.py
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@ -38,6 +38,7 @@ def checking_MX_record(r_serv, adress_set, addr_dns):
score = 0
num = len(adress_set)
WalidMX = set([])
validMX = {}
# Transforming the set into a string
MXdomains = re.findall("@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,20}", str(adress_set).lower())
resolver = dns.resolver.Resolver()
@ -46,20 +47,23 @@ def checking_MX_record(r_serv, adress_set, addr_dns):
resolver.lifetime = 2
if MXdomains != []:
for MXdomain in set(MXdomains):
for MXdomain in MXdomains:
try:
MXdomain = MXdomain[1:]
# Already in Redis living.
if r_serv.exists(MXdomain[1:]):
if r_serv.exists(MXdomain):
score += 1
WalidMX.add(MXdomain[1:])
WalidMX.add(MXdomain)
validMX[MXdomain] = validMX.get(MXdomain, 0) + 1
# Not already in Redis
else:
# If I'm Walid MX domain
if resolver.query(MXdomain[1:], rdtype=dns.rdatatype.MX):
if resolver.query(MXdomain, rdtype=dns.rdatatype.MX):
# Gonna be added in redis.
r_serv.setex(MXdomain[1:], 1, timedelta(days=1))
r_serv.setex(MXdomain, 1, timedelta(days=1))
score += 1
WalidMX.add(MXdomain[1:])
WalidMX.add(MXdomain)
validMX[MXdomain] = validMX.get(MXdomain, 0) + 1
else:
pass
@ -86,13 +90,14 @@ def checking_MX_record(r_serv, adress_set, addr_dns):
except dns.resolver.Timeout:
print('timeout')
r_serv.setex(MXdomain[1:], 1, timedelta(days=1))
r_serv.setex(MXdomain, 1, timedelta(days=1))
except Exception as e:
print(e)
publisher.debug("emails before: {0} after: {1} (valid)".format(num, score))
return (num, WalidMX)
#return (num, WalidMX)
return (num, validMX)
def checking_A_record(r_serv, domains_set):

184
doc/statistics/create_graph_by_tld.py Executable file
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@ -0,0 +1,184 @@
#!/usr/bin/env python3
# -*-coding:UTF-8 -*
'''
Create statistics pie charts by tld
Default tld: lu
'''
import matplotlib
matplotlib.use('Agg')
import os
import sys
import redis
import argparse
import datetime
import heapq
import operator
import matplotlib.pyplot as plt
import numpy as np
sys.path.append(os.environ['AIL_BIN'])
from Helper import Process
def create_pie_chart(country ,db_key, date, pie_title, path, save_name):
monthly_credential_by_tld = server_statistics.hkeys(db_key + date)
l_tld = []
for tld in monthly_credential_by_tld:
nb_tld = server_statistics.hget(db_key + date, tld)
if nb_tld is not None:
nb_tld = int(nb_tld)
else:
nb_tld = 0
l_tld.append( (tld, nb_tld) )
mail_tld_top5 = heapq.nlargest(5, l_tld, key=operator.itemgetter(1))
# Pie chart, where the slices will be ordered and plotted counter-clockwise:
labels = []
sizes = []
explode = [] # only "explode" the 2nd slice (i.e. 'Hogs')
explode_value = 0
for tld in mail_tld_top5:
labels.append(tld[0] +' ('+str(tld[1])+')')
sizes.append(tld[1])
explode.append(explode_value)
explode_value = explode_value +0.1
nb_tld = server_statistics.hget(db_key + date, country)
if nb_tld is not None:
nb_tld = int(nb_tld)
else:
nb_tld = 0
country_label = country + ' ('+str(nb_tld)+')'
if country_label not in labels:
labels.append(country_label)
sizes.append(nb_tld)
explode.append(explode_value)
explode = tuple(explode)
fig1, ax1 = plt.subplots()
ax1.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',
shadow=True, startangle=90)
ax1.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.
ax1.set_title(pie_title)
#plt.show()
plt.savefig(os.path.join(path,save_name))
plt.close(fig1)
def create_donut_chart(db_key, date, pie_title, path, save_name):
monthly_credential_by_tld = server_statistics.hkeys(db_key + date)
print()
l_tld = []
for tld in monthly_credential_by_tld:
nb_tld = server_statistics.hget(db_key + date, tld)
if nb_tld is not None:
nb_tld = int(nb_tld)
else:
nb_tld = 0
l_tld.append( (tld, nb_tld) )
mail_tld_top5 = heapq.nlargest(5, l_tld, key=operator.itemgetter(1))
# Pie chart, where the slices will be ordered and plotted counter-clockwise:
recipe = []
data = []
for tld in mail_tld_top5:
recipe.append(tld[0])
data.append(tld[1])
nb_tld = server_statistics.hget(db_key + date, country)
if nb_tld is not None:
nb_tld = int(nb_tld)
else:
nb_tld = 0
if country not in recipe:
recipe.append(country)
data.append(nb_tld)
fig1, ax1 = plt.subplots(figsize=(6, 3), subplot_kw=dict(aspect="equal"))
wedges, texts = ax1.pie(data, wedgeprops=dict(width=0.5), startangle=-40)
bbox_props = dict(boxstyle="square,pad=0.3", fc="w", ec="k", lw=0.72)
kw = dict(xycoords='data', textcoords='data', arrowprops=dict(arrowstyle="-"),
bbox=bbox_props, zorder=0, va="center")
for i, p in enumerate(wedges):
ang = (p.theta2 - p.theta1)/2. + p.theta1
y = np.sin(np.deg2rad(ang))
x = np.cos(np.deg2rad(ang))
horizontalalignment = {-1: "right", 1: "left"}[int(np.sign(x))]
connectionstyle = "angle,angleA=0,angleB={}".format(ang)
kw["arrowprops"].update({"connectionstyle": connectionstyle})
ax1.annotate(recipe[i], xy=(x, y), xytext=(1.35*np.sign(x), 1.4*y),
horizontalalignment=horizontalalignment, **kw)
ax1.set_title(pie_title)
#plt.show()
plt.savefig(os.path.join(path, save_name))
plt.close(fig1)
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='''This script is a part of the Analysis Information Leak
framework. Create statistics pie charts".''',
epilog='Example: ./create_lu_graph.py 0 lu now, create_lu_graph.py 0 lu 201807')
parser.add_argument('type', type=int, default=0,
help='''The graph type (default 0),
0: all,
1: credential_pie,
2: mail_pie
3: sqlinjection_pie,
4: iban_pie,''',
choices=[0, 1, 2, 3, 4], action='store')
parser.add_argument('country', type=str, default="lu",
help='''The country code, lu:default''',
action='store')
parser.add_argument('date', type=str, default="now",
help='''month %Y%m, example: 201810''', action='store')
args = parser.parse_args()
path = os.path.join(os.environ['AIL_HOME'], 'doc', 'statistics') # save path
config_section = 'ARDB_Statistics'
p = Process(config_section, False)
# ARDB #
server_statistics = redis.StrictRedis(
host=p.config.get("ARDB_Statistics", "host"),
port=p.config.getint("ARDB_Statistics", "port"),
db=p.config.getint("ARDB_Statistics", "db"),
decode_responses=True)
if args.date == 'now' or len(args.date) != 6:
date = datetime.datetime.now().strftime("%Y%m")
else:
date = args.date
if args.type == 0:
create_pie_chart(args.country, 'credential_by_tld:', date, "AIL: Credential leak by tld", path, 'AIL_credential_by_tld.png')
create_pie_chart(args.country, 'mail_by_tld:', date, "AIL: mail leak by tld", path, 'AIL_mail_by_tld.png')
create_pie_chart(args.country, 'SQLInjection_by_tld:', date, "AIL: SQLInjection by tld", path, 'AIL_SQLInjection_by_tld.png')
create_pie_chart(args.country.upper(), 'iban_by_country:', date, "AIL: Iban by country", path, 'AIL_iban_by_country.png')
elif args.type == 1:
create_pie_chart(args.country, 'credential_by_tld:', date, "AIL: Credential leak by tld", path, 'AIL_credential_by_tld.png')
elif args.type == 2:
create_pie_chart(args.country, 'mail_by_tld:', date, "AIL: mail leak by tld", path, 'AIL_mail_by_tld.png')
elif args.type == 3:
create_pie_chart(args.country, 'SQLInjection_by_tld:', date, "AIL: sqlInjection by tld", path, 'AIL_sqlInjectionl_by_tld.png')
elif args.type == 4:
create_pie_chart(args.country.upper(), 'iban_by_country:', date, "AIL: Iban by country", path, 'AIL_iban_by_country.png')

2
installing_deps.sh
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@ -5,7 +5,7 @@ set -x
sudo apt-get update
sudo apt-get install python3-pip python-virtualenv python3-dev libfreetype6-dev \
sudo apt-get install python3-pip python-virtualenv python3-dev python3-tk libfreetype6-dev \
screen g++ python-tk unzip libsnappy-dev cmake -y
#optional tor install

3
pip3_packages_requirement.txt
View File

@ -70,3 +70,6 @@ https://github.com/saffsd/langid.py/archive/master.zip
#LibInjection bindings
pylibinjection
# Graph
matplotlib