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   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Browser Fingerprint Exercise\n",
      "\n",
      "<div style=\"float: right;\"><img src=\"files/images/fingerprint.jpg\" width=\"400px\"></div>\n",
      "<font size=4>Is my network traffic lying to me? Most malware authors don\u2019t seem to spend a lot of effort trying to blend into network traffic. I\u2019m pretty sure the reason for this is \u201cthey don\u2019t need to\u201d. By identifying legitimate HTTP requests based on browser request structure we may be able to, more easily, identify malicious traffic. This notebook will focus on some ways to gather legit browser requests, understand them, and use that data to find non-legitiate requests.\n",
      "<br><br>**Disclaimer:** This exercise in particular is super 'rough', especially towards the end we just kinda threw stuff at the wall to see what would stick. Please take the material in the notebook as purely experimental :).\n",
      "<br><br>**See:**https://github.com/ClickSecurity/data_hacking/issues/9\n",
      "<br><br>\n",
      "** All Code and IPython Notebooks for this talk http://clicksecurity.github.io/data_hacking **\n",
      "<br><br>\n",
      "Tools:\n",
      "<ul>\n",
      "  <li>Bro Network Security Monitor (http://www.bro.org)\n",
      "<br>Bro provides a comprehensive platform for network traffic analysis. Well grounded in more than 15 years of research, Bro has successfully bridged the traditional gap between academia and operations since its inception.\n",
      "  <br><br>\n",
      "  <li> IPython: A mad scientist notebook! (http://ipython.org)\n",
      "  <ul><li> What did you do?\n",
      "  <li> How did you do it?\n",
      "  <li> Can I repoduce it?\n",
      "  <li> Easy to share:\n",
      "  <ul>\n",
      "  <li>[NB Viewer](http://nbviewer.ipython.org)\n",
      "  <li>[Reddit IPython](http://www.reddit.com/r/ipython)\n",
      "  </ul>\n",
      "  </ul>\n",
      "  <br>\n",
      "  <li> Pandas: Python Data Analysis Library (http://pandas.pydata.org)\n",
      "  <ul>\n",
      "  <li> A fast and efficient DataFrame object\n",
      "  <li> Great set of IO Tools\n",
      "  <li> Fantastic handling of missing data\n",
      "  <li> Flexible reshaping and pivoting\n",
      "  <li> Slicing, indexing, and subsetting\n",
      "  </ul>\n",
      "</ul>\n",
      "\n",
      "Contributions:\n",
      "<ul>\n",
      "  <li>Wireshark101 (Laura Chappell) http://wiresharkbook.com/101_supplements/wireshark101files.zip\n",
      "  <li>Contagio Malware Dump - CrimeWare PCAPs (http://contagiodump.blogspot.com/2013/04/collection-of-pcap-files-from-malware.html)\n",
      "</ul>\n",
      "\n",
      "Approach:\n",
      "<ul>\n",
      "  <li> Exploration and Understanding\n",
      "  <li> Some Simple Statistics\n",
      "  <li> Similarity Generation on Sparse Data\n",
      "  <li> Hierarchical Clustering\n",
      "  <li> Automatic Regular Expression Generation\n",
      "</ul>\n",
      "</font>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "pd.__version__"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 1,
       "text": [
        "'0.13.1'"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "np.__version__"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 41,
       "text": [
        "'1.8.0'"
       ]
      }
     ],
     "prompt_number": 41
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Just some plotting defaults\n",
      "import matplotlib.pyplot as plt\n",
      "%matplotlib inline\n",
      "plt.rcParams['font.size'] = 14.0\n",
      "plt.rcParams['figure.figsize'] = 12.0, 8.0"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 42
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<div style=\"float: left; margin: 0px 30px 0px 0px\"><img src=\"files/images/disk.jpg\" width=\"250px\"></div>\n",
      "# Read in the Data\n",
      "<font size=4>We have a nice Bro log reader that will take in any Bro log output and give you a generator of dictionaries (efficient python datastructure. That could be use directly or just passed to a panda dataframe constructor </font>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Create a BRO log file reader and pull from the logfile\n",
      "import bro_log_reader\n",
      "bro_log = bro_log_reader.BroLogReader()\n",
      "headers = bro_log.read_log('data/http_headers.log')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 55
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Nice, so lets look at some of the outputs by tossing them into a pandas dataframe\n",
      "dataframe = pd.DataFrame(headers)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 56
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# What do we have\n",
      "print 'Number of Rows: %d   Columns:%d' % (dataframe.shape[0], dataframe.shape[1])\n",
      "dataframe.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Number of Rows: 4576   Columns:4\n"
       ]
      },
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>header_events_json</th>\n",
        "      <th>origin</th>\n",
        "      <th>ts</th>\n",
        "      <th>useragent</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> [{\"ACCEPT\":\"*\\/*\"},{\"ACCEPT-LANGUAGE\":\"en-US\"}...</td>\n",
        "      <td> client</td>\n",
        "      <td>2012-03-30 17:32:57.382264</td>\n",
        "      <td> Mozilla/4.0 (compatible; MSIE 7.0; Windows NT ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> [{\"CACHE-CONTROL\":\"no-cache\"},{\"DATE\":\"Fri, 30...</td>\n",
        "      <td> server</td>\n",
        "      <td>2012-03-30 17:32:57.382264</td>\n",
        "      <td>                                                NA</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> [{\"ACCEPT\":\"*\\/*\"},{\"ACCEPT-LANGUAGE\":\"en-US\"}...</td>\n",
        "      <td> client</td>\n",
        "      <td>2012-03-30 17:32:57.382264</td>\n",
        "      <td> Mozilla/4.0 (compatible; MSIE 7.0; Windows NT ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> [{\"CACHE-CONTROL\":\"no-cache\"},{\"DATE\":\"Fri, 30...</td>\n",
        "      <td> server</td>\n",
        "      <td>2012-03-30 17:32:57.382264</td>\n",
        "      <td>                                                NA</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> [{\"ACCEPT\":\"*\\/*\"},{\"ACCEPT-LANGUAGE\":\"en-US\"}...</td>\n",
        "      <td> client</td>\n",
        "      <td>2012-03-30 17:32:57.382264</td>\n",
        "      <td> Mozilla/4.0 (compatible; MSIE 7.0; Windows NT ...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>5 rows \u00d7 4 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 57,
       "text": [
        "                                  header_events_json  origin  \\\n",
        "0  [{\"ACCEPT\":\"*\\/*\"},{\"ACCEPT-LANGUAGE\":\"en-US\"}...  client   \n",
        "1  [{\"CACHE-CONTROL\":\"no-cache\"},{\"DATE\":\"Fri, 30...  server   \n",
        "2  [{\"ACCEPT\":\"*\\/*\"},{\"ACCEPT-LANGUAGE\":\"en-US\"}...  client   \n",
        "3  [{\"CACHE-CONTROL\":\"no-cache\"},{\"DATE\":\"Fri, 30...  server   \n",
        "4  [{\"ACCEPT\":\"*\\/*\"},{\"ACCEPT-LANGUAGE\":\"en-US\"}...  client   \n",
        "\n",
        "                          ts  \\\n",
        "0 2012-03-30 17:32:57.382264   \n",
        "1 2012-03-30 17:32:57.382264   \n",
        "2 2012-03-30 17:32:57.382264   \n",
        "3 2012-03-30 17:32:57.382264   \n",
        "4 2012-03-30 17:32:57.382264   \n",
        "\n",
        "                                           useragent  \n",
        "0  Mozilla/4.0 (compatible; MSIE 7.0; Windows NT ...  \n",
        "1                                                 NA  \n",
        "2  Mozilla/4.0 (compatible; MSIE 7.0; Windows NT ...  \n",
        "3                                                 NA  \n",
        "4  Mozilla/4.0 (compatible; MSIE 7.0; Windows NT ...  \n",
        "\n",
        "[5 rows x 4 columns]"
       ]
      }
     ],
     "prompt_number": 57
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<div style=\"float: left; margin: 0px 30px 0px 0px\"><img src=\"files/images/processing_data.jpg\" width=\"250px\"></div>\n",
      "# Process the Data\n",
      "We're going to use some nice functionality in the Pandas dataframe to process our data:\n",
      "\n",
      "    - We have both client and server events, just keep the client events for this exercise\n",
      "    - Transform the complicated user-agent string into something more managable (short-agent)\n",
      "    - Generate a 'feature vector' from the header keys"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Okay so were only interested in client header requests for this exercise\n",
      "dataframe = dataframe[dataframe['origin']=='client']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 58
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Okay we also want to process the header events (that are in a JSON blob) \n",
      "# into a header feature vector (just pulling 'keys' not values).\n",
      "import json\n",
      "def make_header_features(json_header_info_series):\n",
      "    header_features = []\n",
      "    for header_info in json_header_info_series:\n",
      "        try:\n",
      "            header_list = json.loads(unicode(header_info, 'utf8'))\n",
      "            features = [item.keys()[0] for item in header_list]\n",
      "        # There are some lines w/no features\n",
      "        except Exception as e:\n",
      "            features = ''\n",
      "        header_features.append(features)\n",
      "    return header_features\n",
      "\n",
      "# Create a nicely formatted feature vector and a string representation\n",
      "dataframe['feature_vector'] = make_header_features(dataframe['header_events_json'])\n",
      "dataframe['features'] = dataframe['feature_vector'].map(lambda x: ':'.join(x))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 59
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<div style=\"float: left; margin: 0px 30px 0px 0px\"><img src=\"files/images/shortagent.jpg\" width=\"250px\"></div>\n",
      "## Short Agents?\n",
      "So what are we doing with the user-agent strings, how are we doing it and why are we doing it?\n",
      "\n",
      "The user-agent strings are verbose with lots of information and variety based on agent versions/platforms/layout engines/dll linked/builds etc... the logic around short agent strings it to capture the essence of what the agent IS. So for instance this user-agent string becomes this short-agent:\n",
      "\n",
      "    - User-agent: Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.0.3705; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; InfoPath.3; SRC 2.7.1 E1; MS-RTC LM 8; BRI/2; BOIE8;ENUSMSNIP)\n",
      "    \n",
      "    - short-agent: mozilla/4.0:msie:7.0:windows:nt:5.1:trident/4.0:n1.0:n1.1:n2.0:n3.0:n3.5 "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Making shorter agent names based on information from\n",
      "# http://msdn.microsoft.com/library/ms537503.aspx\n",
      "import re\n",
      "def replace_stuff(m):\n",
      "    return 'n'+m.group(1) if '.net clr' in m.group() else ''\n",
      "def short_agent_names(useragent_series, resolution=12):\n",
      "    short_agent_list = []\n",
      "    excludes = re.compile(r',|;|\\(|\\)|compatible|\\.net clr ([0-9].[0-9])[^;]*;|khtml,|like')\n",
      "    for useragent in useragent_series:\n",
      "        processed_user_agent = re.sub(excludes, replace_stuff, useragent.lower()).strip()\n",
      "        short_agent = ':'.join(processed_user_agent.split()[:resolution])\n",
      "        short_agent_list.append(short_agent)\n",
      "    return short_agent_list"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 60
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Generate shorter agent names\n",
      "dataframe['short_agent'] = short_agent_names(dataframe['useragent'])\n",
      "# Remove any 'na' agents\n",
      "dataframe = dataframe.replace('na',np.nan)\n",
      "dataframe = dataframe.dropna()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 61
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<div style=\"float: left; margin: 0px 30px 0px 0px\"><img src=\"files/images/eyeball_2.jpg\" width=\"250px\"></div>\n",
      "# Lets look at the Data\n",
      "We're going to use some nice functionality in the Pandas dataframe to look at our processed data:\n",
      "\n",
      "    - We can use groupby on the dataframe to see the different header request keys for various agents\n",
      "    - Transform the complicated user-agent string into something more managable (short-agent)\n",
      "    - Generate a 'feature vector' from the header keys"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Okay lets exercise some of the pandas dataframe functionality\n",
      "dataframe['count'] = 1\n",
      "agent_group_df = dataframe.groupby(['short_agent','features']).sum()\n",
      "agent_group_df.head(20)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th>count</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>short_agent</th>\n",
        "      <th>features</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>memeo:autobackup:/4.60.0.7923:/platform=1</th>\n",
        "      <th>ACCEPT-LANGUAGE:ACCEPT:USER-AGENT:HOST:CONNECTION</th>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">microsoft-cryptoapi/6.1</th>\n",
        "      <th>CACHE-CONTROL:CONNECTION:ACCEPT:IF-MODIFIED-SINCE:IF-NONE-MATCH:USER-AGENT:HOST</th>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CACHE-CONTROL:CONNECTION:ACCEPT:IF-MODIFIED-SINCE:USER-AGENT:HOST</th>\n",
        "      <td>  3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CONNECTION:ACCEPT:IF-MODIFIED-SINCE:IF-NONE-MATCH:USER-AGENT:HOST</th>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CONNECTION:ACCEPT:USER-AGENT:HOST</th>\n",
        "      <td>  3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">mozilla/4.0</th>\n",
        "      <th>USER-AGENT:HOST</th>\n",
        "      <td>  3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>USER-AGENT:HOST:IF-MODIFIED-SINCE:IF-NONE-MATCH:CONNECTION</th>\n",
        "      <td>  3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/4.0:msie:6.0:windows:nt:5.1:sv1:.net:clr:1.1.4322</th>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:XXXXXXXXXXXXXXX:USER-AGENT:HOST:CONNECTION</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">mozilla/4.0:msie:7.0:windows:nt:6.1:wow64:trident/5.0:slcc2:n2.0:n3.5:n3.0</th>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE</th>\n",
        "      <td>  4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"10\" valign=\"top\">mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5</th>\n",
        "      <th>ACCEPT:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION</th>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION</th>\n",
        "      <td> 15</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE</th>\n",
        "      <td> 12</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:CONTENT-TYPE:CONTENT-LENGTH:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:CACHE-CONTROL:COOKIE</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:CONTENT-TYPE:X-VERIFY:CONTENT-LENGTH:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:CACHE-CONTROL</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION</th>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION</th>\n",
        "      <td>  5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE</th>\n",
        "      <td>  6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:COOKIE:CONNECTION:HOST</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION</th>\n",
        "      <td> 77</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>20 rows \u00d7 1 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 62,
       "text": [
        "                                                                                                                                                                                                                           count\n",
        "short_agent                                                                  features                                                                                                                                           \n",
        "memeo:autobackup:/4.60.0.7923:/platform=1                                    ACCEPT-LANGUAGE:ACCEPT:USER-AGENT:HOST:CONNECTION                                                                                                 2\n",
        "microsoft-cryptoapi/6.1                                                      CACHE-CONTROL:CONNECTION:ACCEPT:IF-MODIFIED-SINCE:IF-NONE-MATCH:USER-AGENT:HOST                                                                   2\n",
        "                                                                             CACHE-CONTROL:CONNECTION:ACCEPT:IF-MODIFIED-SINCE:USER-AGENT:HOST                                                                                 3\n",
        "                                                                             CONNECTION:ACCEPT:IF-MODIFIED-SINCE:IF-NONE-MATCH:USER-AGENT:HOST                                                                                 2\n",
        "                                                                             CONNECTION:ACCEPT:USER-AGENT:HOST                                                                                                                 3\n",
        "mozilla/4.0                                                                  USER-AGENT:HOST                                                                                                                                   3\n",
        "                                                                             USER-AGENT:HOST:IF-MODIFIED-SINCE:IF-NONE-MATCH:CONNECTION                                                                                        3\n",
        "mozilla/4.0:msie:6.0:windows:nt:5.1:sv1:.net:clr:1.1.4322                    ACCEPT:ACCEPT-LANGUAGE:XXXXXXXXXXXXXXX:USER-AGENT:HOST:CONNECTION                                                                                 1\n",
        "mozilla/4.0:msie:7.0:windows:nt:6.1:wow64:trident/5.0:slcc2:n2.0:n3.5:n3.0   ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION                                                         1\n",
        "                                                                             ACCEPT:ACCEPT-LANGUAGE:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE                                                          4\n",
        "mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5 ACCEPT:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION                                                                                                 2\n",
        "                                                                             ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION                                                        15\n",
        "                                                                             ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE                                                 12\n",
        "                                                                             ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:CONTENT-TYPE:CONTENT-LENGTH:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:CACHE-CONTROL:COOKIE        1\n",
        "                                                                             ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:CONTENT-TYPE:X-VERIFY:CONTENT-LENGTH:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:CACHE-CONTROL      1\n",
        "                                                                             ACCEPT:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION                                                                                 2\n",
        "                                                                             ACCEPT:ACCEPT-LANGUAGE:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION                                                                 5\n",
        "                                                                             ACCEPT:ACCEPT-LANGUAGE:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE                                                          6\n",
        "                                                                             ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:COOKIE:CONNECTION:HOST                                                                  1\n",
        "                                                                             ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION                                                                        77\n",
        "\n",
        "[20 rows x 1 columns]"
       ]
      }
     ],
     "prompt_number": 62
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Now lets get the number of different header sequence permutations per agent\n",
      "agent_counts = agent_group_df.count(level=0)\n",
      "\n",
      "# Looks like MSIE agents have a higher number of permutations than all the other stuff\n",
      "# So we 'groupby' a conditional statement (do you have msie in your agent string)\n",
      "agent_types = agent_counts.groupby(by=lambda x: 'msie' if 'msie' in x else 'other')\n",
      "agent_types.head(20)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th>count</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th></th>\n",
        "      <th>short_agent</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th rowspan=\"3\" valign=\"top\">other</th>\n",
        "      <th>memeo:autobackup:/4.60.0.7923:/platform=1</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>microsoft-cryptoapi/6.1</th>\n",
        "      <td>  4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/4.0</th>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">msie</th>\n",
        "      <th>mozilla/4.0:msie:6.0:windows:nt:5.1:sv1:.net:clr:1.1.4322</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/4.0:msie:7.0:windows:nt:6.1:wow64:trident/5.0:slcc2:n2.0:n3.5:n3.0</th>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5</th>\n",
        "      <td> 12</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5</th>\n",
        "      <td> 17</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0</th>\n",
        "      <td>  4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06</th>\n",
        "      <td>  3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"8\" valign=\"top\">other</th>\n",
        "      <th>mozilla/5.0:windows:nt:6.1:wow64:rv:12.0:gecko/20100101:firefox/12.0</th>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/5.0:windows:nt:6.1:wow64:rv:14.0:gecko/20100101:firefox/14.0.1</th>\n",
        "      <td>  5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0</th>\n",
        "      <td> 25</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/5.0:windows:u:windows:nt:6.1:en-us:rv:1.9.2.18:gecko/20110614:firefox/3.6.18</th>\n",
        "      <td>  4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>nis/19.9.0.9:mid/{grpgbpdjzi9qbdsno/32ukaorrc}:sid/fhkuuaaaaaa</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>nis/19.9.0.9:mid/{grpgbpdjzi9qbdsno/32ukaorrc}:sid/fhkuuaaaaaa:lue/1.8.2.10:windows6.1sp1.0x64enu</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>shasta</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>shockwave:flash</th>\n",
        "      <td>  6</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>17 rows \u00d7 1 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 63,
       "text": [
        "                                                                                                         count\n",
        "      short_agent                                                                                             \n",
        "other memeo:autobackup:/4.60.0.7923:/platform=1                                                              1\n",
        "      microsoft-cryptoapi/6.1                                                                                4\n",
        "      mozilla/4.0                                                                                            2\n",
        "msie  mozilla/4.0:msie:6.0:windows:nt:5.1:sv1:.net:clr:1.1.4322                                              1\n",
        "      mozilla/4.0:msie:7.0:windows:nt:6.1:wow64:trident/5.0:slcc2:n2.0:n3.5:n3.0                             2\n",
        "      mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5                          12\n",
        "      mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5                          17\n",
        "      mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0                                                  4\n",
        "      mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06                                             3\n",
        "other mozilla/5.0:windows:nt:6.1:wow64:rv:12.0:gecko/20100101:firefox/12.0                                   2\n",
        "      mozilla/5.0:windows:nt:6.1:wow64:rv:14.0:gecko/20100101:firefox/14.0.1                                 5\n",
        "      mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0                                  25\n",
        "      mozilla/5.0:windows:u:windows:nt:6.1:en-us:rv:1.9.2.18:gecko/20110614:firefox/3.6.18                   4\n",
        "      nis/19.9.0.9:mid/{grpgbpdjzi9qbdsno/32ukaorrc}:sid/fhkuuaaaaaa                                         1\n",
        "      nis/19.9.0.9:mid/{grpgbpdjzi9qbdsno/32ukaorrc}:sid/fhkuuaaaaaa:lue/1.8.2.10:windows6.1sp1.0x64enu      1\n",
        "      shasta                                                                                                 1\n",
        "      shockwave:flash                                                                                        6\n",
        "\n",
        "[17 rows x 1 columns]"
       ]
      }
     ],
     "prompt_number": 63
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Get some quick descriptive stats and plot it!\n",
      "fig, ax = plt.subplots(subplot_kw={'axisbg':'#EEEEE5'})\n",
      "ax.grid(color='lightgrey', linestyle='solid')\n",
      "agent_types.boxplot(False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 64,
       "text": [
        "{'boxes': [<matplotlib.lines.Line2D at 0x10b266e50>,\n",
        "  <matplotlib.lines.Line2D at 0x10b26ef90>],\n",
        " 'caps': [<matplotlib.lines.Line2D at 0x10b2661d0>,\n",
        "  <matplotlib.lines.Line2D at 0x10b266810>,\n",
        "  <matplotlib.lines.Line2D at 0x10b26e310>,\n",
        "  <matplotlib.lines.Line2D at 0x10b26e950>],\n",
        " 'fliers': [<matplotlib.lines.Line2D at 0x10b269a10>,\n",
        "  <matplotlib.lines.Line2D at 0x10b26d410>,\n",
        "  <matplotlib.lines.Line2D at 0x10b273c50>,\n",
        "  <matplotlib.lines.Line2D at 0x10b276290>],\n",
        " 'medians': [<matplotlib.lines.Line2D at 0x10b2693d0>,\n",
        "  <matplotlib.lines.Line2D at 0x10b273610>],\n",
        " 'whiskers': [<matplotlib.lines.Line2D at 0x10b260850>,\n",
        "  <matplotlib.lines.Line2D at 0x10b260ad0>,\n",
        "  <matplotlib.lines.Line2D at 0x10b26da10>,\n",
        "  <matplotlib.lines.Line2D at 0x10b26dc90>]}"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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       "text": [
        "<matplotlib.figure.Figure at 0x108a9f810>"
       ]
      }
     ],
     "prompt_number": 64
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Now lets flip the group by around\n",
      "features = dataframe[['short_agent','features','count']].groupby(['features','short_agent']).sum()\n",
      "print features.shape\n",
      "features.head(20)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(91, 1)\n"
       ]
      },
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th>count</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>features</th>\n",
        "      <th>short_agent</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>ACCEPT-LANGUAGE:ACCEPT:USER-AGENT:HOST:CONNECTION</th>\n",
        "      <th>memeo:autobackup:/4.60.0.7923:/platform=1</th>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">ACCEPT:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION</th>\n",
        "      <th>mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5</th>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5</th>\n",
        "      <td>  5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06</th>\n",
        "      <td>  3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE</th>\n",
        "      <th>mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5</th>\n",
        "      <td>  9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-ENCODING:USER-AGENT:IF-MODIFIED-SINCE:HOST:CONNECTION:COOKIE</th>\n",
        "      <th>mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5</th>\n",
        "      <td>  8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION</th>\n",
        "      <th>mozilla/4.0:msie:7.0:windows:nt:6.1:wow64:trident/5.0:slcc2:n2.0:n3.5:n3.0</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5</th>\n",
        "      <td> 15</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE</th>\n",
        "      <th>mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5</th>\n",
        "      <td> 12</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:IF-MODIFIED-SINCE:HOST:CONNECTION</th>\n",
        "      <th>mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:CONTENT-TYPE:CONTENT-LENGTH:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:CACHE-CONTROL:COOKIE</th>\n",
        "      <th>mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:CONTENT-TYPE:X-VERIFY:CONTENT-LENGTH:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:CACHE-CONTROL</th>\n",
        "      <th>mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:REFERER:X-SVN-REV:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE</th>\n",
        "      <th>mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">ACCEPT:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION</th>\n",
        "      <th>mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5</th>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06</th>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">ACCEPT:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION:COOKIE</th>\n",
        "      <th>mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5</th>\n",
        "      <td>  5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0</th>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION</th>\n",
        "      <th>mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5</th>\n",
        "      <td>  5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ACCEPT:ACCEPT-LANGUAGE:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE</th>\n",
        "      <th>mozilla/4.0:msie:7.0:windows:nt:6.1:wow64:trident/5.0:slcc2:n2.0:n3.5:n3.0</th>\n",
        "      <td>  4</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>20 rows \u00d7 1 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 65,
       "text": [
        "                                                                                                                                                                                                                           count\n",
        "features                                                                                                                                     short_agent                                                                        \n",
        "ACCEPT-LANGUAGE:ACCEPT:USER-AGENT:HOST:CONNECTION                                                                                            memeo:autobackup:/4.60.0.7923:/platform=1                                         2\n",
        "ACCEPT:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION                                                                                            mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5      2\n",
        "                                                                                                                                             mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5      5\n",
        "                                                                                                                                             mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0                             1\n",
        "                                                                                                                                             mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06                        3\n",
        "ACCEPT:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE                                                                                     mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5      9\n",
        "ACCEPT:ACCEPT-ENCODING:USER-AGENT:IF-MODIFIED-SINCE:HOST:CONNECTION:COOKIE                                                                   mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5      8\n",
        "ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION                                                    mozilla/4.0:msie:7.0:windows:nt:6.1:wow64:trident/5.0:slcc2:n2.0:n3.5:n3.0        1\n",
        "                                                                                                                                             mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5     15\n",
        "ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE                                             mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5     12\n",
        "ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:IF-MODIFIED-SINCE:HOST:CONNECTION                                  mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5      1\n",
        "ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:CONTENT-TYPE:CONTENT-LENGTH:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:CACHE-CONTROL:COOKIE   mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5      1\n",
        "ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:CONTENT-TYPE:X-VERIFY:CONTENT-LENGTH:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:CACHE-CONTROL mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5      1\n",
        "ACCEPT:ACCEPT-LANGUAGE:REFERER:X-SVN-REV:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE                                                   mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5      1\n",
        "ACCEPT:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION                                                                            mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5      2\n",
        "                                                                                                                                             mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06                        2\n",
        "ACCEPT:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION:COOKIE                                                                     mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5      5\n",
        "                                                                                                                                             mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0                             2\n",
        "ACCEPT:ACCEPT-LANGUAGE:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION                                                            mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5      5\n",
        "ACCEPT:ACCEPT-LANGUAGE:X-FLASH-VERSION:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE                                                     mozilla/4.0:msie:7.0:windows:nt:6.1:wow64:trident/5.0:slcc2:n2.0:n3.5:n3.0        4\n",
        "\n",
        "[20 rows x 1 columns]"
       ]
      }
     ],
     "prompt_number": 65
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<div style=\"float: right; margin: 50px 0px 50px -50px\"><img src=\"files/images/confused.jpg\" width=\"450px\" style=\"margin: 0px\"></div>\n",
      "### Okay...so after looking at the data we have a better 'feel' it... but now what?\n",
      "### Perhaps we should try a different approach.\n",
      "1. **Compute similarities between all rows within the system log using LSH:  **\n",
      "   Unlike conventional hash functions the goal of LSH (Locality Sensitive Hashing) is to maximize probability of \"collision\" of similar items rather than avoid collisions.\n",
      "    * [MinHash](http://en.wikipedia.org/wiki/MinHash)\n",
      "    * [Locality Sensitive Hashing](http://en.wikipedia.org/wiki/Locality_sensitive_hashing)\n",
      "    * [Mining of Massive Datasets](http://infolab.stanford.edu/~ullman/mmds/ch3.pdf)\n",
      "2. **Use those similarities as the basis of a Hierarchical Clustering Algorithm:  **\n",
      "    Single-linkage clustering is one of several methods for agglomerative \n",
      "    hierarchical clustering.\n",
      "    - [Single Linkage Clustering](http://en.wikipedia.org/wiki/Single-linkage_clustering)\n",
      "    - [Hierarchical Clustering](http://en.wikipedia.org/wiki/Hierarchical_clustering)\n",
      "    \n",
      "    Other popular online clustering algorithms\n",
      "    - [DBSCAN](http://en.wikipedia.org/wiki/DBSCAN)\n",
      "    - [OPTICS Algorithms](http://en.wikipedia.org/wiki/OPTICS_algorithm)\n",
      "    \n",
      "\n",
      "#### The LSH Sims python class has two distance metrics\n",
      "\n",
      "1) Jaccard Index: a set based distance metric (overlaps in sets of elements)\n",
      "  \n",
      "   - [Jaccard Index](http://en.wikipedia.org/wiki/Jaccard_index)\n",
      "\n",
      "2) Levenshtein Distance: based on the edit distance of the elements (so order matters).\n",
      "  \n",
      "   - [Levenshtein Distance](http://en.wikipedia.org/wiki/Levenshtein_distance)\n",
      "   - [Damerau-Levenshtein Distance](http://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance) (not using but good to be aware of)\n",
      "   - Using a code snippet from [Michael Homer](http://mwh.geek.nz/2009/04/26/python-damerau-levenshtein-distance)\n",
      "   - Also using the [difflib](http://docs.python.org/2/library/difflib.html#sequencematcher-examples) module for editops"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<div style=\"float: right; margin: 50px 0px 00px 20px\"><img src=\"files/images/levenshtein.png\" width=\"450px\" style=\"margin: 0px\"></div>\n",
      "## What the F&*# is a Levenshtein!?\n",
      "\"The Levenshtein distance is a string metric for measuring the difference between two sequences. Informally, the Levenshtein distance between two words is the minimum number of single-character edits (i.e. insertions, deletions or substitutions) required to change one word into the other.\"  [Levenshtein Distance (WikiPedia)](http://en.wikipedia.org/wiki/Levenshtein_distance)\n",
      "\n",
      "In this case we are using Levenshtein not on individual letters in strings but tokens in sequences.\n",
      "\n",
      "Examples: \n",
      "\n",
      "    a = ['ACCEPT', 'USER-AGENT', 'HOST', 'COOKIE']\n",
      "    b = ['ACCEPT', 'USER-AGENT', 'HOST']\n",
      "    c = ['ACCEPT', 'USER-AGENT', 'DORSEYS-MOM']\n",
      "    d = ['COOKIE', 'ACCEPT', 'USER-AGENT', 'HOST']\n",
      "\n",
      "    levenshtein(a,b) = 1.0\n",
      "    levenshtein(b,c) = 1.0\n",
      "    levenshtein(a,d) = 2.0"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Lets look at the a few examples of Levenshtein distance\n",
      "import data_hacking.lsh_sims as lsh_sims\n",
      "lsh = lsh_sims.LSHSimilarities([])\n",
      "a = ['ACCEPT', 'USER-AGENT', 'HOST', 'COOKIE']\n",
      "b = ['ACCEPT', 'USER-AGENT', 'HOST']\n",
      "c = ['ACCEPT', 'USER-AGENT', 'DORSEYS-MOM']\n",
      "d = ['COOKIE', 'ACCEPT', 'USER-AGENT', 'HOST']\n",
      "\n",
      "print 'Levenshtein: %s -- %s   ( %f )' % (a, b, lsh.levenshtein(a, b))\n",
      "print 'Levenshtein: %s -- %s   ( %f )' % (b, c, lsh.levenshtein(b, c))\n",
      "print 'Levenshtein: %s -- %s   ( %f )' % (a, d, lsh.levenshtein(a, d))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Levenshtein: ['ACCEPT', 'USER-AGENT', 'HOST', 'COOKIE'] -- ['ACCEPT', 'USER-AGENT', 'HOST']   ( 1.000000 )\n",
        "Levenshtein: ['ACCEPT', 'USER-AGENT', 'HOST'] -- ['ACCEPT', 'USER-AGENT', 'DORSEYS-MOM']   ( 1.000000 )\n",
        "Levenshtein: ['ACCEPT', 'USER-AGENT', 'HOST', 'COOKIE'] -- ['COOKIE', 'ACCEPT', 'USER-AGENT', 'HOST']   ( 2.000000 )\n"
       ]
      }
     ],
     "prompt_number": 66
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Lets compute levenshtein distance between the header sequences for each agent\n",
      "params = {'num_hashes':20, 'lsh_bands':20, 'lsh_rows':1, 'drop_duplicates':True}\n",
      "\n",
      "agent_distances = {}\n",
      "agent_groups = dataframe.groupby(['short_agent'])\n",
      "for name, group in agent_groups:\n",
      "    lsh = lsh_sims.LSHSimilarities(group['feature_vector'], mh_params=params)\n",
      "    distances = lsh.batch_compute_similarities(distance_metric='levenshtein_tapered', threshold=10)\n",
      "    distances.sort() \n",
      "    agent_distances[name] = distances"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 67
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# For one agent show the top 5 closest (levenshtein) header sequences\n",
      "agent = 'mozilla/4.0:msie:7.0:windows:nt:6.1:wow64:trident/5.0:slcc2:n2.0:n3.5:n3.0'\n",
      "distances = agent_distances[agent]\n",
      "\n",
      "print '\\nAgent: %s' % agent\n",
      "print 'Distances:'\n",
      "features = agent_groups.get_group(agent)['feature_vector']\n",
      "for distance in distances[:5]:\n",
      "    print '\\n%s\\n%s' % (features.iloc[distance[1]], features.iloc[distance[2]])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Agent: mozilla/4.0:msie:7.0:windows:nt:6.1:wow64:trident/5.0:slcc2:n2.0:n3.5:n3.0\n",
        "Distances:\n",
        "\n",
        "[u'ACCEPT', u'ACCEPT-LANGUAGE', u'X-FLASH-VERSION', u'ACCEPT-ENCODING', u'USER-AGENT', u'HOST', u'CONNECTION', u'COOKIE']\n",
        "[u'ACCEPT', u'ACCEPT-LANGUAGE', u'REFERER', u'X-FLASH-VERSION', u'ACCEPT-ENCODING', u'USER-AGENT', u'HOST', u'CONNECTION']\n"
       ]
      }
     ],
     "prompt_number": 68
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<div style=\"float: right; margin: 20px 20px 20px 20px\"><img src=\"files/images/agg.jpg\" width=\"400px\" style=\"margin: 10px\"></div>\n",
      "# Hierarchical Clustering \n",
      "Now we can use those similarities as the basis of a Hierarchical Clustering Algorithm. Single-linkage clustering is one of several methods for agglomerative hierarchical clustering. The image on the right is an example of how this works. \n",
      "\n",
      "We're using a bottom up method (image is flipped :), you simply sort the similarities and start building your tree from the bottom. If B and C are the most similar you link them, then D/E and so on until you complete the tree. The devil is **definitely** in the details on the implementation of this, so luckily we have a python class that does it for us."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# MLPD3 is a cool python module for using D3 as a back end to matplotlib\n",
      "# go to https://github.com/jakevdp/mpld3 and behold the awesome.\n",
      "\n",
      "# Note we're commenting this out that the nbviewer work correctly, \n",
      "# but feel free to uncomment if you download the notebook and play\n",
      "# with it yourself.\n",
      "'''\n",
      "try:\n",
      "    import mpld3\n",
      "    mpld3.enable_notebook(d3_url=\"/files/d3/d3.v3.js\")\n",
      "except ImportError:\n",
      "    print 'Info: Could not load mpld3 module. No worries stuff will still work fine...'\n",
      "'''"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 69,
       "text": [
        "'\\ntry:\\n    import mpld3\\n    mpld3.enable_notebook(d3_url=\"/files/d3/d3.v3.js\")\\nexcept ImportError:\\n    print \\'Info: Could not load mpld3 module. No worries stuff will still work fine...\\'\\n'"
       ]
      }
     ],
     "prompt_number": 69
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Compute a hierarchical clustering from the header similarities for each agent\n",
      "import data_hacking.hcluster as hcluster\n",
      "agent_h_graphs = {}\n",
      "groups = dict(list(agent_groups))\n",
      "for name, group in groups.iteritems():\n",
      "    lsh = lsh_sims.LSHSimilarities(group['feature_vector'], mh_params=params)\n",
      "    distances = lsh.batch_compute_similarities(distance_metric='l_tapered_sim', threshold=0)\n",
      "    h_clustering = hcluster.HCluster(group['feature_vector'])\n",
      "    h_clustering.set_sim_method(lsh.l_sim)\n",
      "    h_graph, root = h_clustering.sims_to_hcluster(distances, agg_sim=.2)\n",
      "    agent_h_graphs[name] = {'graph':h_graph, 'root':root}"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "<<<< WTF Error: Looks like an empty graph >>>>>\n",
        "Graph 0 nodes 0 edges\n",
        "<<<< WTF Error: Looks like an empty graph >>>>>"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Graph 0 nodes 0 edges\n",
        "<<<< WTF Error: Looks like an empty graph >>>>>\n",
        "Graph 0 nodes 0 edges\n",
        "<<<< WTF Error: Looks like an empty graph >>>>>\n",
        "Graph 0 nodes 0 edges\n",
        "<<<< WTF Error: Looks like an empty graph >>>>>\n",
        "Graph 0 nodes 0 edges\n"
       ]
      }
     ],
     "prompt_number": 70
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Plot a couple of agents\n",
      "import networkx as nx\n",
      "\n",
      "def plot_h_tree(graph, layout='neato'):\n",
      "    pos = nx.graphviz_layout(graph, prog=layout)\n",
      "    labels = {node[0]:node[1]['label'] for node in graph.nodes(data=True)}\n",
      "    nx.draw_networkx(graph, pos, node_size=800, alpha=.7, node_color=[.6,.4,.6], labels=labels)\n",
      "    edge_labels=dict([((u,v,),str(d['weight'])[:4]) for u,v,d in graph.edges(data=True)])\n",
      "    nx.draw_networkx_edge_labels(graph,pos,edge_labels=edge_labels)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 71
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# MSIE 8\n",
      "msie_8 = 'mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5'\n",
      "plot_h_tree(agent_h_graphs[msie_8]['graph'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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PQ4YMob59+750+W3atCEzMzNJGaZPn05ERQOXTCYT46AaN25cKo7ur062MzMz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\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NvM2RTFrf5r4Fj8eT2l5ED+XWVKbq59azZ88at5WZmSlW1trausayon2L2qStrS33OYse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\nhus3r0vv5tIAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x108aa8150>"
       ]
      }
     ],
     "prompt_number": 72
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "msie_9 = 'mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0'\n",
      "plot_h_tree(agent_h_graphs[msie_9]['graph'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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SEgJvb28MHToUR48exePHjxEdHY3CwkIMGjSo0vWOHTuGIUOGVFt+VV9CpfNyc3OxZcuW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\nAAAuIVwDAAAALiFcAwAAAC75f0/SXQXP0i0vAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x108873250>"
       ]
      }
     ],
     "prompt_number": 73
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "flash = 'shockwave:flash'\n",
      "plot_h_tree(agent_h_graphs[flash]['graph'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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+eHp6avyBs2fPHvbs2cOWLVuoW7cuOjo66Ojo8OGHHzJ37twCxaBSqahatSqN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\nYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x108aa1550>"
       ]
      }
     ],
     "prompt_number": 74
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import collections\n",
      "def subtree_labels(g, root):\n",
      "    labels = nx.get_node_attributes(g,'label')\n",
      "    sub_labels = collections.defaultdict(list)\n",
      "    leaves = [k for k,v in g.out_degree().iteritems() if v == 0]\n",
      "    for leaf in leaves:\n",
      "        sub_labels[g.predecessors(leaf)[0]].append(labels[leaf])\n",
      "    return sub_labels\n",
      "\n",
      "import pprint\n",
      "g = agent_h_graphs[good_test_agent]['graph']\n",
      "root = agent_h_graphs[good_test_agent]['root']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 75
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Hmph, well just for fun we made a RE Morpher class; you simply keep adding\n",
      "# strings to it and it figures out the RE that matches all the strings.\n",
      "# It's very hack-tastic so a better way to auto-generate regular expressions \n",
      "# will be a fun task for some contributor :)\n",
      "import re\n",
      "import re_morpher\n",
      "\n",
      "# Lets experiment a bit\n",
      "a = [u'HOST', u'CONNECTION', u'ACCEPT', u'USER-AGENT', u'ACCEPT-ENCODING']\n",
      "b = [u'HOST', u'CONNECTION', u'AUTHORIZATION', u'ACCEPT', u'USER-AGENT', u'ACCEPT-ENCODING']\n",
      "b = [u'HOST', u'CONNECTION', u'AUTHORIZATION', u'ACCEPT', u'USER-AGENT', u'DORSEYS-MOM']\n",
      "\n",
      "my_re_morpher = re_morpher.REMorpher()\n",
      "my_re_morpher.add_sequence(a)\n",
      "print my_re_morpher.get_re_pattern()\n",
      "my_re_morpher.add_sequence(b)\n",
      "print my_re_morpher.get_re_pattern()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "^HOSTCONNECTIONACCEPTUSER-AGENTACCEPT-ENCODING$\n",
        "^HOSTCONNECTION(AUTHORIZATION)?ACCEPTUSER-AGENT(DORSEYS-MOM)?(ACCEPT-ENCODING)?$\n"
       ]
      }
     ],
     "prompt_number": 76
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Alright now try it out on our agents header sequences\n",
      "import collections\n",
      "agent_res = collections.defaultdict(list)\n",
      "for agent, graph_info in agent_h_graphs.iteritems():\n",
      "#for agent, graph_info in zip(good_test_agent,agent_h_graphs[good_test_agent]):\n",
      "    graph = graph_info['graph']\n",
      "    root = graph_info['root']\n",
      "    if graph:\n",
      "        # Get the re patterns for this agent\n",
      "        for sub_key, feature_list in subtree_labels(graph,root).iteritems():\n",
      "            for f in feature_list:\n",
      "                my_re_morpher.add_sequence(f.split(':'))\n",
      "\n",
      "            # Append to my re list\n",
      "            agent_res[agent].append(my_re_morpher.get_re_pattern())\n",
      "            my_re_morpher.reset_re()\n",
      "    \n",
      "# Print out the agent sets just to get an idea\n",
      "for agent, graph_info in agent_h_graphs.iteritems():\n",
      "    print '\\n%s' % agent\n",
      "    for my_re in agent_res[agent]:\n",
      "        print '\\t%s' % my_re"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5\n",
        "\t^(ACCEPT)?(ACCEPT-LANGUAGE)?(REFERER)?(X-SVN-REV)?(ACCEPT)?(ACCEPT-ENCODING)?(ACCEPT-LANGUAGE)?(USER-AGENT)?(X-FLASH-VERSION)?(ACCEPT-ENCODING)?(ACCEPT-LANGUAGE)?(USER-AGENT)?(CONTENT-TYPE)?(ACCEPT-ENCODING)?(IF-MODIFIED-SINCE)?(IF-NONE-MATCH)?(HOST)?(CONTENT-LENGTH)?(CONNECTION)?(COOKIE)?(IF-NONE-MATCH)?$\n",
        "\t^ACCEPTACCEPT-ENCODINGUSER-AGENT(IF-MODIFIED-SINCE)?HOSTCONNECTION(COOKIE)?$\n",
        "\t^X-REQUESTED-WITHACCEPT-LANGUAGEREFERERACCEPTCONTENT-TYPEACCEPT-ENCODINGUSER-AGENTIF-MODIFIED-SINCEIF-NONE-MATCHHOSTCONNECTIONCOOKIE$\n",
        "\n",
        "mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06\n",
        "\t^ACCEPT(ACCEPT-ENCODING)?(ACCEPT-LANGUAGE)?USER-AGENT(ACCEPT-ENCODING)?HOSTCONNECTION$\n",
        "\n",
        "mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5\n",
        "\t^ACCEPT(REFERER)?ACCEPT-LANGUAGEUSER-AGENTACCEPT-ENCODING(COOKIE)?(CONNECTION)?HOST(CONNECTION)?(COOKIE)?$\n",
        "\t^(X-REQUESTED-WITH)?(ACCEPT)?(ACCEPT-LANGUAGE)?(REFERER)?(ACCEPT)?(CONTENT-LENGTH)?ACCEPT-ENCODINGUSER-AGENTHOSTCONNECTION(COOKIE)?(CACHE-CONTROL)?$\n",
        "\t^ACCEPTACCEPT-LANGUAGE(REFERER)?X-FLASH-VERSION(CONTENT-TYPE)?(CONTENT-LENGTH)?ACCEPT-ENCODINGUSER-AGENTHOSTCONNECTION(CACHE-CONTROL)?(COOKIE)?$\n",
        "\n",
        "mozilla/5.0:windows:nt:6.1:wow64:rv:14.0:gecko/20100101:firefox/14.0.1\n",
        "\t^HOSTUSER-AGENTACCEPTACCEPT-LANGUAGEACCEPT-ENCODINGCONNECTION(X-REQUESTED-WITH)?(X-YAHOO-MSGR-USER-AGENT)?(REFERER)?(COOKIE)?(IF-MODIFIED-SINCE)?(IF-NONE-MATCH)?$\n",
        "\n",
        "mozilla/4.0:msie:7.0:windows:nt:6.1:wow64:trident/5.0:slcc2:n2.0:n3.5:n3.0\n",
        "\t^ACCEPTACCEPT-LANGUAGE(REFERER)?X-FLASH-VERSIONACCEPT-ENCODINGUSER-AGENTHOSTCONNECTION(COOKIE)?$\n",
        "\n",
        "mozilla/4.0:msie:6.0:windows:nt:5.1:sv1:.net:clr:1.1.4322\n",
        "\n",
        "shasta\n",
        "\n",
        "mozilla/4.0\n",
        "\t^USER-AGENTHOST(IF-MODIFIED-SINCE)?(IF-NONE-MATCH)?(CONNECTION)?$\n",
        "\n",
        "mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0\n",
        "\t^ACCEPT(REFERER)?ACCEPT-LANGUAGEUSER-AGENTACCEPT-ENCODINGHOSTCONNECTION(COOKIE)?$\n",
        "\t^ACCEPTACCEPT-ENCODINGUSER-AGENTHOSTCONNECTION$\n",
        "\n",
        "mozilla/5.0:windows:nt:6.1:wow64:rv:12.0:gecko/20100101:firefox/12.0\n",
        "\t^HOSTUSER-AGENTACCEPTACCEPT-LANGUAGEACCEPT-ENCODINGCONNECTION(REFERER)?$\n",
        "\n",
        "memeo:autobackup:/4.60.0.7923:/platform=1\n",
        "\n",
        "mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0\n",
        "\t^HOSTUSER-AGENTACCEPTACCEPT-LANGUAGEACCEPT-ENCODINGCONNECTION(REFERER)?(ORIGIN)?(COOKIE)?(IF-MODIFIED-SINCE)?(CONTENT-TYPE)?(X-REQUESTED-WITH)?(REFERER)?(CONTENT-LENGTH)?(COOKIE)?(PRAGMA)?(IF-NONE-MATCH)?(CACHE-CONTROL)?$\n",
        "\n",
        "nis/19.9.0.9:mid/{grpgbpdjzi9qbdsno/32ukaorrc}:sid/fhkuuaaaaaa:lue/1.8.2.10:windows6.1sp1.0x64enu\n",
        "\n",
        "shockwave:flash\n",
        "\t^CONTENT-TYPEUSER-AGENTHOSTCONTENT-LENGTHCONNECTIONCACHE-CONTROL(COOKIE)?$\n",
        "\t^(REFERER)?X-FLASH-VERSIONUSER-AGENTHOST(CACHE-CONTROL)?(CONNECTION)?$\n",
        "\n",
        "nis/19.9.0.9:mid/{grpgbpdjzi9qbdsno/32ukaorrc}:sid/fhkuuaaaaaa\n",
        "\n",
        "microsoft-cryptoapi/6.1\n",
        "\t^(CACHE-CONTROL)?CONNECTIONACCEPT(IF-MODIFIED-SINCE)?(IF-NONE-MATCH)?USER-AGENTHOST$\n",
        "\n",
        "mozilla/5.0:windows:u:windows:nt:6.1:en-us:rv:1.9.2.18:gecko/20110614:firefox/3.6.18\n",
        "\t^HOSTUSER-AGENTACCEPTACCEPT-LANGUAGEACCEPT-ENCODINGACCEPT-CHARSETKEEP-ALIVECONNECTION(REFERER)?(COOKIE)?(IF-MODIFIED-SINCE)?$\n"
       ]
      }
     ],
     "prompt_number": 87
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<div style=\"float: right; margin: 0px 30px 0px 0px\"><img src=\"files/images/validation.jpg\" width=\"300px\"></div>\n",
      "# Validation and Evaluation\n",
      "\n",
      "     - Make sure the regular expressions match all the agents/features in the training set.\n",
      "     - Test the expressions against data/PCAPs that have known bad/sneaky agents.\n",
      "     \n",
      "Well by definition the regular expressions are suppose to match the training set, so the first evaluation is more of a sanity check. For the second test we find 'matching' agents in the PCAP file and test their header sequences. \n",
      "#### NOTE: This work is fairly embryonic right now and this section in particular needs more formality around it. Also, as always, we need a super huge set of training data to get broader coverage of more agents and all of the permuations."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# An evaluation method for our auto-magically-generated RE expressions\n",
      "import re\n",
      "def evaluate_agents(agent_list, feature_list):\n",
      "    print 'Evaluating %d requests' % len(agent_list)\n",
      "    for agent, features in zip(agent_list, feature_list):\n",
      "        my_res = [re.compile(my_re) for my_re in agent_res[agent]]\n",
      "        match = any([my_re.match(features.replace(':','')) for my_re in my_res])\n",
      "        if not match:\n",
      "            print '\\nAlert: No Match on Agent(%s) Sequence(%s)' % (agent,features)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 78
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Evaluation against the training set (there should be no alerts)\n",
      "t_agents = [(len(agent_res[agent])>0) for agent in dataframe['short_agent']] # Degenerate case where no H-Tree was built\n",
      "training_agents = dataframe[t_agents]\n",
      "evaluate_agents(training_agents['short_agent'], training_agents['features'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Evaluating 2268 requests\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5) Sequence(X-REQUESTED-WITH:ACCEPT-LANGUAGE:REFERER:ACCEPT:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5) Sequence(X-REQUESTED-WITH:ACCEPT-LANGUAGE:REFERER:ACCEPT:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5) Sequence(X-REQUESTED-WITH:ACCEPT-LANGUAGE:REFERER:ACCEPT:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5) Sequence(X-REQUESTED-WITH:ACCEPT-LANGUAGE:REFERER:ACCEPT:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5) Sequence(X-REQUESTED-WITH:ACCEPT-LANGUAGE:REFERER:ACCEPT:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5) Sequence(X-REQUESTED-WITH:ACCEPT-LANGUAGE:REFERER:ACCEPT:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5) Sequence(X-REQUESTED-WITH:ACCEPT-LANGUAGE:REFERER:ACCEPT:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:COOKIE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION:COOKIE:IF-MODIFIED-SINCE:IF-NONE-MATCH)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION:COOKIE:IF-MODIFIED-SINCE:IF-NONE-MATCH)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION:COOKIE:IF-MODIFIED-SINCE:IF-NONE-MATCH)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION:COOKIE:IF-MODIFIED-SINCE:IF-NONE-MATCH)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:COOKIE:CONNECTION:HOST)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.4:slcc2:n2.0:n3.5) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:CONTENT-TYPE:ACCEPT-ENCODING:HOST:CONTENT-LENGTH:CONNECTION:CACHE-CONTROL)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:14.0:gecko/20100101:firefox/14.0.1) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:CONTENT-TYPE:X-YAHOO-MSGR-USER-AGENT:REFERER:COOKIE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:CONTENT-LENGTH:CONTENT-TYPE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:CONTENT-LENGTH:CONTENT-TYPE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:CONTENT-LENGTH:CONTENT-TYPE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:CONTENT-LENGTH:CONTENT-TYPE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:REFERER:ORIGIN:RANGE:IF-RANGE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:REFERER:ORIGIN:RANGE:IF-RANGE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:CONTENT-LENGTH:CONTENT-TYPE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:8.0:windows:nt:6.1:wow64:trident/4.0:gtb7.2:slcc2:n2.0:n3.5) Sequence(ACCEPT:ACCEPT-LANGUAGE:REFERER:X-FLASH-VERSION:CONTENT-TYPE:X-VERIFY:CONTENT-LENGTH:ACCEPT-ENCODING:USER-AGENT:HOST:CONNECTION:CACHE-CONTROL)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:CONTENT-LENGTH:CONTENT-TYPE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:CONTENT-LENGTH:CONTENT-TYPE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:CONTENT-LENGTH:CONTENT-TYPE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:msie:9.0:windows:nt:6.1:wow64:trident/5.0:np06) Sequence(ACCEPT:REFERER:ACCEPT-LANGUAGE:USER-AGENT:ACCEPT-ENCODING:HOST:CONNECTION)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:CONTENT-LENGTH:CONTENT-TYPE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:CONTENT-LENGTH:CONTENT-TYPE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:CONTENT-LENGTH:CONTENT-TYPE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:CONTENT-LENGTH:CONTENT-TYPE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:CONTENT-LENGTH:CONTENT-TYPE)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/5.0:windows:nt:6.1:wow64:rv:16.0:gecko/20100101:firefox/16.0) Sequence(HOST:USER-AGENT:ACCEPT:ACCEPT-LANGUAGE:ACCEPT-ENCODING:CONNECTION:COOKIE:REFERER:CONTENT-TYPE:CONTENT-LENGTH)\n"
       ]
      }
     ],
     "prompt_number": 85
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Read in from contagio dumps' pcap samples for evaluation testing\n",
      "bro_log = bro_log_reader.BroLogReader()\n",
      "contagio_headers = bro_log.read_log('data/contagio.headers.txt')\n",
      "contagio_df = pd.DataFrame(contagio_headers)\n",
      "contagio_df.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>header_events_json</th>\n",
        "      <th>origin</th>\n",
        "      <th>ts</th>\n",
        "      <th>useragent</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> [{\"ACCEPT\":\"application\\/octet-stream\"},{\"CONT...</td>\n",
        "      <td> client</td>\n",
        "      <td>2013-08-10 23:26:48.150406</td>\n",
        "      <td> Alina v5.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> [{\"DATE\":\"Sun, 11 Aug 2013 05:25:27 GMT\"},{\"SE...</td>\n",
        "      <td> server</td>\n",
        "      <td>2013-08-10 23:26:48.150406</td>\n",
        "      <td>         NA</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> [{\"ACCEPT\":\"application\\/octet-stream\"},{\"CONT...</td>\n",
        "      <td> client</td>\n",
        "      <td>2013-08-10 23:28:40.198085</td>\n",
        "      <td> Alina v5.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> [{\"DATE\":\"Sun, 11 Aug 2013 05:27:19 GMT\"},{\"SE...</td>\n",
        "      <td> server</td>\n",
        "      <td>2013-08-10 23:28:40.198085</td>\n",
        "      <td>         NA</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> [{\"ACCEPT\":\"application\\/octet-stream\"},{\"CONT...</td>\n",
        "      <td> client</td>\n",
        "      <td>2013-08-10 23:32:41.074339</td>\n",
        "      <td> Alina v5.3</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>5 rows \u00d7 4 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 80,
       "text": [
        "                                  header_events_json  origin  \\\n",
        "0  [{\"ACCEPT\":\"application\\/octet-stream\"},{\"CONT...  client   \n",
        "1  [{\"DATE\":\"Sun, 11 Aug 2013 05:25:27 GMT\"},{\"SE...  server   \n",
        "2  [{\"ACCEPT\":\"application\\/octet-stream\"},{\"CONT...  client   \n",
        "3  [{\"DATE\":\"Sun, 11 Aug 2013 05:27:19 GMT\"},{\"SE...  server   \n",
        "4  [{\"ACCEPT\":\"application\\/octet-stream\"},{\"CONT...  client   \n",
        "\n",
        "                          ts   useragent  \n",
        "0 2013-08-10 23:26:48.150406  Alina v5.3  \n",
        "1 2013-08-10 23:26:48.150406          NA  \n",
        "2 2013-08-10 23:28:40.198085  Alina v5.3  \n",
        "3 2013-08-10 23:28:40.198085          NA  \n",
        "4 2013-08-10 23:32:41.074339  Alina v5.3  \n",
        "\n",
        "[5 rows x 4 columns]"
       ]
      }
     ],
     "prompt_number": 80
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# A bit of processing on the raw data to prepate it for evaluation\n",
      "contagio_df = contagio_df[contagio_df['origin']=='client']\n",
      "contagio_df['short_agent'] = short_agent_names(contagio_df['useragent'])\n",
      "contagio_df['feature_vector'] = make_header_features(contagio_df['header_events_json'])\n",
      "contagio_df['features'] = contagio_df['feature_vector'].map(lambda x: ':'.join(x))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 81
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Lets look at the overlap of agents from our training set and the contagio set\n",
      "trained_agents = set(dataframe['short_agent'].unique())\n",
      "evil_agents = set(contagio_df['short_agent'].unique())\n",
      "evil_agents = evil_agents.intersection(trained_agents)\n",
      "contagio_subset = contagio_df[contagio_df['short_agent'].isin(evil_agents)]\n",
      "evil_agents\n",
      "\n",
      "# Well only a couple of agents overlap our training data, but that's okay \n",
      "# still a reasonable set of header requests to test against."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 82,
       "text": [
        "{'microsoft-cryptoapi/6.1',\n",
        " 'mozilla/4.0',\n",
        " 'mozilla/4.0:msie:6.0:windows:nt:5.1:sv1:.net:clr:1.1.4322'}"
       ]
      }
     ],
     "prompt_number": 82
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Lets see how the Contagio CrimeWare PCAP requests measure up against our dataset of computed regex's\n",
      "evaluate_agents(contagio_subset['short_agent'],contagio_subset['features'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Evaluating 33 requests\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0) Sequence(CACHE-CONTROL:CONNECTION:PRAGMA:CONTENT-TYPE:USER-AGENT:CONTENT-LENGTH:HOST)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0) Sequence(CACHE-CONTROL:CONNECTION:PRAGMA:CONTENT-TYPE:USER-AGENT:CONTENT-LENGTH:HOST)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:6.0:windows:nt:5.1:sv1:.net:clr:1.1.4322) Sequence(HOST:KEEP-ALIVE:CONNECTION:USER-AGENT)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:6.0:windows:nt:5.1:sv1:.net:clr:1.1.4322) Sequence(HOST:KEEP-ALIVE:CONNECTION:USER-AGENT)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:6.0:windows:nt:5.1:sv1:.net:clr:1.1.4322) Sequence(HOST:KEEP-ALIVE:CONNECTION:USER-AGENT)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:6.0:windows:nt:5.1:sv1:.net:clr:1.1.4322) Sequence(HOST:KEEP-ALIVE:CONNECTION:USER-AGENT)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0:msie:6.0:windows:nt:5.1:sv1:.net:clr:1.1.4322) Sequence(HOST:KEEP-ALIVE:CONNECTION:USER-AGENT)\n",
        "\n",
        "Alert: No Match on Agent(mozilla/4.0) Sequence(HOST:USER-AGENT:CONTENT-TYPE:CONTENT-LENGTH:CONNECTION)\n"
       ]
      }
     ],
     "prompt_number": 83
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<div style=\"float: left;\"><figure style=\"margin: 30px 40px 40px 0px\"><img src=\"files/images/conclusion.jpg\" width=\"350px\"></figure></div>\n",
      "# Conclusions\n",
      "We read in some Bro log data, did a bit of processing and then applied some neat analytics.\n",
      "The analytics in this notebook covered these topics and the reader is encourage to visit the respective pages:\n",
      "\n",
      "   - [Levenshtein_Similarity](http://en.wikipedia.org/wiki/Levenshtein_distance)\n",
      "   - [Min Hash](http://en.wikipedia.org/wiki/MinHash)\n",
      "   - [Locality Sensitive Hashing](http://en.wikipedia.org/wiki/Locality_sensitive_hashing)\n",
      "   - [Hierarchical Clustering](http://en.wikipedia.org/wiki/Hierarchical_clustering)\n",
      "   - [Automatic Regular Expression Generation](http://regex.inginf.units.it/)\n",
      "   - [Passive Browser Fingerprinting](http://www.visiblerisk.com/blog/2012/7/2/passive-browser-fingerprinting.html)\n",
      "\n",
      "In general the material in this notebook represents fairly embryonic work. \n",
      "#### Please take the results as a 'work in progress' at this point...\n",
      "\n",
      "#### Time for the fancy monkeys on a spinning rock in the middle of nowhere to go have some beer!"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Papers on the Automatic Generation of Regular Expressions\n",
      "Bartoli, Davanzo, De Lorenzo, Mauri, Medvet, Sorio, [Automatic Generation of Regular Expressions from Examples with Genetic Programming](http://machinelearning.inginf.units.it/publications/international-conference-publications/automaticgenerationofregularexpressionsfromexampleswithgeneticprogramming), ACM Genetic and Evolutionary Computation Conference (GECCO), 2012, Philadelphia (US)\n",
      "\n",
      "De Lorenzo, Medvet, Bartoli, [Automatic String Replace by Examples](http://machinelearning.inginf.units.it/publications/international-conference-publications/automaticstringreplacebyexamples), ACM Genetic and Evolutionary Computation Conference (GECCO), 2013, Amsterdam (Netherlands)\u2014the string replace functionality described in this paper is based on an extension of the work showcased on this web app; it is currently not exposed on the web."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### There's also a neat IPython notebook on generating regular expressions\n",
      "#### xkcd 1313: Something is Wrong on the Internet!\n",
      "<a href=\"http://xkcd.com/1313\">![](http://imgs.xkcd.com/comics/regex_golf.png)</a>\n",
      "\n",
      "The IPython notebook uses a strategy to find a regex that given two python sequences matches the first but ensures that it does not match the second using a [set cover technique](http://en.wikipedia.org/wiki/Set_cover_problem) and or'ing the components together.\n",
      "Please see: http://nbviewer.ipython.org/url/norvig.com/ipython/xkcd1313.ipynb for more info."
     ]
    }
   ],
   "metadata": {}
  }
 ]
}