mirror of
https://github.com/ail-project/ail-framework.git
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184 lines
6.4 KiB
Python
Executable file
184 lines
6.4 KiB
Python
Executable file
#!/usr/bin/env python3
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# -*-coding:UTF-8 -*
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'''
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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 matplotlib
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matplotlib.use('Agg')
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import os
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import sys
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import redis
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import argparse
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import datetime
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import heapq
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import operator
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import matplotlib.pyplot as plt
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import numpy as np
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sys.path.append(os.environ['AIL_BIN'])
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from Helper import Process
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def create_pie_chart(country ,db_key, date, pie_title, path, save_name):
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monthly_credential_by_tld = server_statistics.hkeys(db_key + date)
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l_tld = []
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for tld in monthly_credential_by_tld:
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nb_tld = server_statistics.hget(db_key + date, tld)
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if nb_tld is not None:
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nb_tld = int(nb_tld)
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else:
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nb_tld = 0
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l_tld.append( (tld, nb_tld) )
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mail_tld_top5 = heapq.nlargest(5, l_tld, key=operator.itemgetter(1))
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# Pie chart, where the slices will be ordered and plotted counter-clockwise:
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labels = []
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sizes = []
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explode = [] # only "explode" the 2nd slice (i.e. 'Hogs')
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explode_value = 0
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for tld in mail_tld_top5:
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labels.append(tld[0] +' ('+str(tld[1])+')')
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sizes.append(tld[1])
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explode.append(explode_value)
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explode_value = explode_value +0.1
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nb_tld = server_statistics.hget(db_key + date, country)
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if nb_tld is not None:
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nb_tld = int(nb_tld)
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else:
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nb_tld = 0
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country_label = country + ' ('+str(nb_tld)+')'
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if country_label not in labels:
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labels.append(country_label)
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sizes.append(nb_tld)
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explode.append(explode_value)
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explode = tuple(explode)
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fig1, ax1 = plt.subplots()
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ax1.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',
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shadow=True, startangle=90)
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ax1.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.
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ax1.set_title(pie_title)
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#plt.show()
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plt.savefig(os.path.join(path,save_name))
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plt.close(fig1)
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def create_donut_chart(db_key, date, pie_title, path, save_name):
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monthly_credential_by_tld = server_statistics.hkeys(db_key + date)
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print()
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l_tld = []
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for tld in monthly_credential_by_tld:
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nb_tld = server_statistics.hget(db_key + date, tld)
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if nb_tld is not None:
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nb_tld = int(nb_tld)
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else:
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nb_tld = 0
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l_tld.append( (tld, nb_tld) )
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mail_tld_top5 = heapq.nlargest(5, l_tld, key=operator.itemgetter(1))
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# Pie chart, where the slices will be ordered and plotted counter-clockwise:
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recipe = []
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data = []
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for tld in mail_tld_top5:
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recipe.append(tld[0])
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data.append(tld[1])
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nb_tld = server_statistics.hget(db_key + date, country)
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if nb_tld is not None:
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nb_tld = int(nb_tld)
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else:
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nb_tld = 0
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if country not in recipe:
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recipe.append(country)
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data.append(nb_tld)
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fig1, ax1 = plt.subplots(figsize=(6, 3), subplot_kw=dict(aspect="equal"))
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wedges, texts = ax1.pie(data, wedgeprops=dict(width=0.5), startangle=-40)
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bbox_props = dict(boxstyle="square,pad=0.3", fc="w", ec="k", lw=0.72)
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kw = dict(xycoords='data', textcoords='data', arrowprops=dict(arrowstyle="-"),
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bbox=bbox_props, zorder=0, va="center")
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for i, p in enumerate(wedges):
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ang = (p.theta2 - p.theta1)/2. + p.theta1
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y = np.sin(np.deg2rad(ang))
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x = np.cos(np.deg2rad(ang))
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horizontalalignment = {-1: "right", 1: "left"}[int(np.sign(x))]
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connectionstyle = "angle,angleA=0,angleB={}".format(ang)
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kw["arrowprops"].update({"connectionstyle": connectionstyle})
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ax1.annotate(recipe[i], xy=(x, y), xytext=(1.35*np.sign(x), 1.4*y),
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horizontalalignment=horizontalalignment, **kw)
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ax1.set_title(pie_title)
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#plt.show()
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plt.savefig(os.path.join(path, save_name))
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plt.close(fig1)
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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. 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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help='''The graph type (default 0),
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0: all,
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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: 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="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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help='''month %Y%m, example: 201810''', action='store')
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args = parser.parse_args()
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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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p = Process(config_section, False)
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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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if args.date == 'now' or len(args.date) != 6:
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date = datetime.datetime.now().strftime("%Y%m")
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else:
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date = args.date
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if args.type == 0:
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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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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(), '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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create_pie_chart(args.country, 'mail_by_tld:', date, "AIL: mail leak by tld", path, 'AIL_mail_by_tld.png')
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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(), 'iban_by_country:', date, "AIL: Iban by country", path, 'AIL_iban_by_country.png')
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