chg: [statistics] add script to generate pie chart png

bin/Credential.py

@@ -72,6 +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:
@@ -141,20 +142,20 @@ 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)))
 
 
         #for searching credential in termFreq
-        date = datetime.datetime.now().strftime("%Y%m")
         for cred in creds:
-            mail = cred.split('@')[-1].split()[0]
-            faup.decode(mail)
-            tld = faup.get()['tld']
-            print(tld)
-            server_statistics.hincrby('credential_by_tld:'+date, tld, 1)
-
             cred = cred.split('@')[0] #Split to ignore mail address
 
             #unique number attached to unique path

bin/Helper.py

@@ -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:

bin/Mail.py

@@ -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.
@@ -12,7 +12,6 @@ It apply mail regexes on paste content and warn if above a threshold.
 """
 
 import redis
-import pprint
 import time
 import datetime
 import dns.exception
@@ -89,9 +88,7 @@ if __name__ == "__main__":
                         msg = 'infoleak:automatic-detection="mail";{}'.format(filename)
                         p.populate_set_out(msg, 'Tags')
 
-                    else:
+                        #create country statistics
-                        publisher.info(to_print)
-                #Send to ModuleStats and 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))
@@ -99,9 +96,15 @@ if __name__ == "__main__":
 
                             faup.decode(mail)
                             tld = faup.get()['tld']
-                    print(tld)
                             server_statistics.hincrby('mail_by_tld:'+date, tld, MX_values[1][mail])
 
+                    else:
+                        publisher.info(to_print)
+                #create country statistics
+                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')
+
             prec_filename = filename
 
         else:

doc/api/create_lu_graph.py

@@ -0,0 +1,137 @@
+#!/usr/bin/env python3
+# -*-coding:UTF-8 -*
+
+'''
+lu
+'''
+
+import os
+import sys
+import redis
+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(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')
+    for tld in mail_tld_top5:
+        labels.append(tld[0])
+        sizes.append(tld[1])
+        explode.append(0)
+
+    nb_tld = server_statistics.hget(db_key + date, 'lu')
+    if nb_tld is not None:
+        nb_tld = int(nb_tld)
+    else:
+        nb_tld = 0
+    labels.append('lu')
+    sizes.append(nb_tld)
+    explode.append(0.3)  # only "explode" lu slice
+    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, 'lu')
+    if nb_tld is not None:
+        nb_tld = int(nb_tld)
+    else:
+        nb_tld = 0
+    recipe.append('lu')
+    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__':
+
+    path = os.path.join(os.environ['AIL_HOME'], 'doc') # path to module config file
+
+    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)
+
+    date = datetime.datetime.now().strftime("%Y%m")
+    create_pie_chart('credential_by_tld:', date, "AIL: Credential leak by tld", path, 'AIL_credential_by_tld.png')
+    create_pie_chart('mail_by_tld:', date, "AIL: mail leak by tld", path, 'AIL_mail_by_tld.png')
+    create_pie_chart('SQLInjection_by_tld:', date, "AIL: sqlInjection by tld", path, 'AIL_sqlInjectionl_by_tld.png')