{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### Data Exploration of a publicly available dataset.\n", "\n", "\n", "\n", "Data processing, cleaning and normalization is often 95% of the battle. Never underestimate this part of the process, if you're not careful about it your derrière will be sore later. Another good reason to spend a bit of time on understanding your data is that you may realize that the data isn't going to be useful for your task at hand. Quick pruning of fruitless branches is good.\n", "\n", "#### Data as an analogy: Data is almost always a big pile of shit, the only real question is, \"Is there a Pony inside?\" and that's what data exploration and understanding is about. ####\n", "\n", "For this exploration we're going to pull some data from the Malware Domain List website [http://www.malwaredomainlist.com](http://www.malwaredomainlist.com). We'd like to thank them for providing a great resourse and making their data available to the public. In general data is messy so even though we're going to be nit-picking quite a bit, we recognized that many datasets will have similar issues which is why we feel like this is a good 'real world' example of data.\n", "\n", "* Full database: [ http://www.malwaredomainlist.com/mdlcsv.php](http://www.malwaredomainlist.com/mdlcsv.php)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'0.13.1'" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# This exercise is mostly for us to understand what kind of data we have and then\n", "# run some simple stats on the fields/values in the data. Pandas will be great for that\n", "import pandas as pd\n", "pd.__version__" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Set default figure sizes\n", "pylab.rcParams['figure.figsize'] = (14.0, 5.0)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# This data url can be a web location http://foo.bar.com/mydata.csv or it can be a\n", "# a path to your disk where the data resides /full/path/to/data/mydata.csv\n", "# Note: Be a good web citizen, download the data once and then specify a path to your local file :)\n", "# For instance: > wget http://www.malwaredomainlist.com/mdlcsv.php -O mdl_data.csv\n", "# data_url = 'http://www.malwaredomainlist.com/mdlcsv.php'\n", "data_url = 'data/mdl_data.csv'" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Note: when the data was pulled it didn't have column names, so poking around\n", "# on the website we found the column headers referenced so we're explicitly\n", "# specifying them to the CSV reader:\n", "# date,domain,ip,reverse,description,registrant,asn,inactive,country\n", "dataframe = pd.read_csv(data_url, names=['date','domain','ip','reverse','description',\n", " 'registrant','asn','inactive','country'], header=None, error_bad_lines=False, low_memory=False)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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datedomainipreversedescriptionregistrantasninactivecountry
0 2009/01/01_10:00 - 82.165.74.94 kundenserver.de several compromised domains redirect to Mebroot - 8560 1 1
1 2009/01/01_10:00 saudieng.net 63.245.196.12 - compromised site/redirects to Mebroot privacy protected - 1 1
2 2009/01/01_10:00 thick-click.com 74.52.59.66 gator126.hostgator.com. compromised site/redirects to Mebroot Alvin slap30_1@juno.com 21844 1 1
3 2009/01/01_10:00 webfo.biz/fxid1.txt 69.89.27.211 box211.bluehost.com RFI Anthony Stebbing stebbing@omen-designs.com 11798 1 1
4 2009/01/01_10:00 www.xtipp.hu/index.php_ 195.70.48.68 s5.mediacenter.hu compromised site/redirects to Mebroot Wolf Center Kft 8358 1 1
\n", "

5 rows × 9 columns

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" ], "text/plain": [ " date domain ip \\\n", "0 2009/01/01_10:00 - 82.165.74.94 \n", "1 2009/01/01_10:00 saudieng.net 63.245.196.12 \n", "2 2009/01/01_10:00 thick-click.com 74.52.59.66 \n", "3 2009/01/01_10:00 webfo.biz/fxid1.txt 69.89.27.211 \n", "4 2009/01/01_10:00 www.xtipp.hu/index.php_ 195.70.48.68 \n", "\n", " reverse description \\\n", "0 kundenserver.de several compromised domains redirect to Mebroot \n", "1 - compromised site/redirects to Mebroot \n", "2 gator126.hostgator.com. compromised site/redirects to Mebroot \n", "3 box211.bluehost.com RFI \n", "4 s5.mediacenter.hu compromised site/redirects to Mebroot \n", "\n", " registrant asn inactive country \n", "0 - 8560 1 1 \n", "1 privacy protected - 1 1 \n", "2 Alvin slap30_1@juno.com 21844 1 1 \n", "3 Anthony Stebbing stebbing@omen-designs.com 11798 1 1 \n", "4 Wolf Center Kft 8358 1 1 \n", "\n", "[5 rows x 9 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataframe.head(5)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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datedomainipreversedescriptionregistrantasninactivecountry
88009 2014/05/09_15:10 assurances-immobilier.com/111 213.186.33.4 cluster003.ovh.net. Trojan.Zeus.GameOver Valette Frederic / yany.valette@wanadoo.fr 16276 0 0
88010 2014/05/02_06:37 www.adesse-anwaltskanzlei.de/kunde729/ 81.169.222.233 h2288326.stratoserver.net. exploit kit hostmaster@one.com 6724 0 0
88011 2014/05/02_06:42 thibautoskian.com/redesigns/quartet 82.165.211.214 kundenserver.de. Zbot trojan Registrar Abuse Contact abuse@1and1.com 8560 0 0
88012 2014/05/01_00:23 antiviru.ru/download?midlet_id=3253&midlet_nam... 91.202.63.75 - Android.Trojan - 44571 0 0
88013 NaN NaN NaN NaN NaN NaN NaNNaNNaN
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5 rows × 9 columns

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" ], "text/plain": [ " date domain \\\n", "88009 2014/05/09_15:10 assurances-immobilier.com/111 \n", "88010 2014/05/02_06:37 www.adesse-anwaltskanzlei.de/kunde729/ \n", "88011 2014/05/02_06:42 thibautoskian.com/redesigns/quartet \n", "88012 2014/05/01_00:23 antiviru.ru/download?midlet_id=3253&midlet_nam... \n", "88013 NaN NaN \n", "\n", " ip reverse description \\\n", "88009 213.186.33.4 cluster003.ovh.net. Trojan.Zeus.GameOver \n", "88010 81.169.222.233 h2288326.stratoserver.net. exploit kit \n", "88011 82.165.211.214 kundenserver.de. Zbot trojan \n", "88012 91.202.63.75 - Android.Trojan \n", "88013 NaN NaN NaN \n", "\n", " registrant asn inactive country \n", "88009 Valette Frederic / yany.valette@wanadoo.fr 16276 0 0 \n", "88010 hostmaster@one.com 6724 0 0 \n", "88011 Registrar Abuse Contact abuse@1and1.com 8560 0 0 \n", "88012 - 44571 0 0 \n", "88013 NaN NaN NaN NaN \n", "\n", "[5 rows x 9 columns]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataframe.tail(5)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(88014, 9)\n" ] }, { "data": { "text/plain": [ "(87734, 9)" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# We can see there's a blank row at the end that got filled with NaNs \n", "# Thankfully Pandas is great about handling missing data.\n", "print dataframe.shape\n", "dataframe = dataframe.dropna()\n", "dataframe.shape" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(31424, 9)" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# For this use case we're going to remove any rows that have a '-' in the data \n", "# by replacing '-' with NaN and then running dropna() again\n", "dataframe = dataframe.replace('-', np.nan)\n", "dataframe = dataframe.dropna()\n", "dataframe.shape" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "2 compromised site/redirects to Mebroot\n", "3 RFI\n", "4 compromised site/redirects to Mebroot\n", "5 Backdoor.Win32.KeyStart.m\n", "6 exploits/mebroot\n", "7 Mebroot calls home\n", "9 Mebroot calls home\n", "10 exploits\n", "13 Rogue\n", "16 Rogue\n", "17 redirects to exploits\n", "18 Rogue\n", "19 Rogue\n", "23 Rogue\n", "24 redirects to exploits\n", "...\n", "87992 Trojan.Zeus.GameOver\n", "87993 Trojan.Zeus.GameOver\n", "87994 Trojan.Zeus.GameOver\n", "87996 Trojan.Zeus.GameOver\n", "87997 Trojan.Zeus.GameOver\n", "87999 Trojan.Zeus.GameOver\n", "88001 Trojan.Zeus.GameOver\n", "88004 Trojan.Zeus.GameOver\n", "88005 Trojan.Zeus.GameOver\n", "88006 Trojan.Zeus.GameOver\n", "88007 Trojan.Zeus.GameOver\n", "88008 Trojan.Zeus.GameOver\n", "88009 Trojan.Zeus.GameOver\n", "88010 exploit kit\n", "88011 Zbot trojan\n", "Name: description, Length: 31424, dtype: object" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Drilling down into one of the columns\n", "dataframe['description']" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 31424\n", "unique 1583\n", "top trojan\n", "freq 3418\n", "Name: description, dtype: object" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Pandas has a describe method\n", "# For numerical data it give a nice set of summary statistics\n", "# For categorical data it simply gives count, unique values\n", "# and the most common value\n", "dataframe['description'].describe()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "trojan 3418\n", "RFI 1599\n", "zeus v1 config file 1319\n", "Blackhole exploit kit 1077\n", "zeus v2 config file 973\n", "redirects to exploits 909\n", "zeus v1 trojan 898\n", "zeus v1 drop zone 681\n", "fake av 661\n", "trojan Banker 613\n", "zeus v2 drop zone 593\n", "zeus v2 trojan 587\n", "Fake Antivirus 533\n", "RedKit exploit kit 532\n", "directs to exploits 440\n", "...\n", "Fake AV scanner page 1\n", "backdoor Sheldoor 1\n", "fake av Advanced Defender 1\n", "redirects to Fragus exploit kit 1\n", "Connection.Intercept, Part of Banking trojan 1\n", "Trojan.Artemis 1\n", "Scam 1\n", "FakePoliceAlert C&C 1\n", "Android.Adware.Plankton.A 1\n", "redirects to fake av' 1\n", "downloader 1\n", "bank Santander Phishing page 1\n", "trojan Fakealert 1\n", "Backdoor.Bot.MSIL 1\n", "Document.zip Trojan.Kryptic 1\n", "Length: 1583, dtype: int64" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# We can get a count of all the unique values by running value_counts()\n", "dataframe['description'].value_counts()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "2 compromised site/redirects to mebroot\n", "3 rfi\n", "4 compromised site/redirects to mebroot\n", "5 backdoor.win32.keystart.m\n", "6 exploits/mebroot\n", "7 mebroot calls home\n", "9 mebroot calls home\n", "10 exploits\n", "13 rogue\n", "16 rogue\n", "17 redirects to exploits\n", "18 rogue\n", "19 rogue\n", "23 rogue\n", "24 redirects to exploits\n", "...\n", "87992 trojan.zeus.gameover\n", "87993 trojan.zeus.gameover\n", "87994 trojan.zeus.gameover\n", "87996 trojan.zeus.gameover\n", "87997 trojan.zeus.gameover\n", "87999 trojan.zeus.gameover\n", "88001 trojan.zeus.gameover\n", "88004 trojan.zeus.gameover\n", "88005 trojan.zeus.gameover\n", "88006 trojan.zeus.gameover\n", "88007 trojan.zeus.gameover\n", "88008 trojan.zeus.gameover\n", "88009 trojan.zeus.gameover\n", "88010 exploit kit\n", "88011 zbot trojan\n", "Name: description, Length: 31424, dtype: object" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# We noticed that the description values just differ by whitespace or captilization\n", "dataframe['description'] = dataframe['description'].map(lambda x: x.strip().lower())\n", "dataframe['description']" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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datedomainipreversedescriptionregistrantasninactivecountry
2 2009/01/01_10:00 thick-click.com 74.52.59.66 gator126.hostgator.com. compromised site/redirects to mebroot alvin slap30_1@juno.com 21844 1 1
3 2009/01/01_10:00 webfo.biz/fxid1.txt 69.89.27.211 box211.bluehost.com rfi anthony stebbing stebbing@omen-designs.com 11798 1 1
4 2009/01/01_10:00 www.xtipp.hu/index.php_ 195.70.48.68 s5.mediacenter.hu compromised site/redirects to mebroot wolf center kft 8358 1 1
5 2009/01/02_00:00 epeiy.com/wssl713fro.exe 68.180.151.74 p2p.geo.vip.sp1.yahoo.com backdoor.win32.keystart.m epeiy@yahoo.com 36752 1 1
6 2009/01/03_00:00 har5launo.com/cgi-bin/index.cgi?dx 74.213.167.191 74-213-167-191.ultrahosting.com exploits/mebroot prokofyev yaroslav weksya@gmail.ru 23136 1 1
\n", "

5 rows × 9 columns

\n", "
" ], "text/plain": [ " date domain ip \\\n", "2 2009/01/01_10:00 thick-click.com 74.52.59.66 \n", "3 2009/01/01_10:00 webfo.biz/fxid1.txt 69.89.27.211 \n", "4 2009/01/01_10:00 www.xtipp.hu/index.php_ 195.70.48.68 \n", "5 2009/01/02_00:00 epeiy.com/wssl713fro.exe 68.180.151.74 \n", "6 2009/01/03_00:00 har5launo.com/cgi-bin/index.cgi?dx 74.213.167.191 \n", "\n", " reverse description \\\n", "2 gator126.hostgator.com. compromised site/redirects to mebroot \n", "3 box211.bluehost.com rfi \n", "4 s5.mediacenter.hu compromised site/redirects to mebroot \n", "5 p2p.geo.vip.sp1.yahoo.com backdoor.win32.keystart.m \n", "6 74-213-167-191.ultrahosting.com exploits/mebroot \n", "\n", " registrant asn inactive country \n", "2 alvin slap30_1@juno.com 21844 1 1 \n", "3 anthony stebbing stebbing@omen-designs.com 11798 1 1 \n", "4 wolf center kft 8358 1 1 \n", "5 epeiy@yahoo.com 36752 1 1 \n", "6 prokofyev yaroslav weksya@gmail.ru 23136 1 1 \n", "\n", "[5 rows x 9 columns]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# First thing we noticed was that many of the 'submissions' had the exact same\n", "# date, which we're guessing means some batch jobs just through a bunch of\n", "# domains in and stamped them all with the same date.\n", "\n", "# We also noticed that many values just differ by captilization (this is common)\n", "dataframe = dataframe.applymap(lambda x: x.strip().lower() if not isinstance(x,float64) else x)\n", "dataframe.head()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "# The domain column looks to be full URI instead of just the domain\n", "from urlparse import urlparse\n", "dataframe['domain'] = dataframe['domain'].astype(str)\n", "dataframe['domain'] = dataframe['domain'].apply(lambda x: \"http://\" + x)\n", "dataframe['domain'] = dataframe['domain'].apply(lambda x: urlparse(x).netloc)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Two columns that are a mistaken copy of each other?...\n", "We also suspect that the 'inactive' column and the 'country' column are exactly the same, also why is there one row in the inactive column with a value of '2'?\n", "
\n",
    " \"Ahhh, what an awful dream. Ones and zeroes everywhere... and I thought I saw a two [shudder].\" \n",
    "      -- Bender\n",
    " \"It was just a dream, Bender. There's no such thing as two\". \n",
    "      -- Fry\n",
    "
" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[ 1., 1.],\n", " [ 1., 1.]])" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Using numpy.corrcoef to compute the correlation coefficient matrix\n", "np.corrcoef(dataframe[\"inactive\"], dataframe[\"country\"])" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
inactivecountry
inactive 1 1
country 1 1
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2 rows × 2 columns

\n", "
" ], "text/plain": [ " inactive country\n", "inactive 1 1\n", "country 1 1\n", "\n", "[2 rows x 2 columns]" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Pandas also has a correlation method on it's dataframe which has nicer output\n", "dataframe.corr()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "# Yeah perfectly correlated, so looks like 'country' \n", "# is just the 'inactive' column duplicated.\n", "# So what happened here? Seems bizarre to have a replicated column." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Okay well lets try to get something out of this pile. We'd like to run some simple statistics to see what correlations the data might contain.\n", "\n", "#### G-test is for goodness of fit to a distribution and for independence in contingency tables. It's related to chi-squared, multinomial and Fisher's exact test, please see http://en.wikipedia.org/wiki/G_test.\n" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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5dOgQAA8++CCnn356g/fKyMjg/fffB+Dpp5/mhBNOICcnh4EDB3Lbbbc12fbh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\nt/KciTY2Kn8L2AwMx47cbPysQcP4Gx8Ti/wMxAN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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# The data hacking repository has a simple stats module we're going to use\n", "import data_hacking.simple_stats as ss\n", "\n", "# Spin up our g_test class\n", "g_test = ss.GTest()\n", "\n", "# Here we'd like to see how various exploits (description) are related to\n", "# the ASN (Autonomous System Number) associated with the ip/domain.\n", "(exploits, matches, cont_table) = g_test.highest_gtest_scores(\n", " dataframe['description'], dataframe['asn'], N=5, matches=5)\n", "\n", "ax = exploits.T.plot(kind='bar', stacked=True)\n", "pylab.ylabel('Exploit Occurrences')\n", "pylab.xlabel('ASN (Autonomous System Number)')\n", "patches, labels = ax.get_legend_handles_labels()\n", "ax.legend(patches, labels, loc='upper right')\n", "\n", "\n", "# The plot below is showing the number of times a particular exploit was associated with an ASN.\n", "# Interesing to see whether exploits are highly correlated to particular ASNs." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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qAImVWPkmCCXCdcxqWc9YtV3KKOPMFDhh8fNRRpkSyli1XcooU5SMSFniUx0g\nERERERGR/GgInIh4TEPgREREQ+DKtqeffpo33niDChUqsH37dlq0aEFKSkqhbof9+uuvM2XKFP74\n4w/i4+OJiIjgxx9/JDIykqFDhxIeHs706dO9cBZ/uuqHwImIiIhIyQsMCcFms3ltCgwJKe1TLLJv\nv/2Wbt26ERYWRo0aNejXrx+//vpribYhISGBuXPn8vPPP3PixAnCw8NJTU0tVOcnPT2dcePG8dln\nn5GSkkJoaCipqanOR9Vkf+6syKc6QFYeG6sx4sr4XKbACYufjzLKlFDGqu1SRpmiZFKTk2HLFq9N\nqcnJV26ExSUnJ/PQQw9x5MgRjhw5QkBAAMOGDSvRNiQkJBAWFkZYWFiR9/Xrr79y8eJFrr322jy3\nseqVQp/qAImIiIjI1Wv16tUEBAQ4p4oVKxITEwNAWloaTzzxBBEREdSqVYuHH36YixcvArBkyRI6\ndOiQY19+fn4cOnQIgA0bNnDdddcRGBhIvXr1mDNnTq5jp6WlERwczJ49e5zLfv/9d6pUqcKpU6fo\n0aMHd999N9WqVaNy5cqMGjWKr7/+Os9zSUpKYtiwYdStW5fQ0FDuvPNO57qFCxfSpEkTwsLC6Nu3\nL4mJiTna/cYbb9C0aVNCQkIYPXo0AJ9++indu3fnxIkTBAQE8MADDxAfH4+fnx9ZWVkAHD58mI4d\nOxIYGEi3bt0YNWoUQ4YMydW2ffv2OTs+wcHBdO3aNdd7drl169YRFRVFSEgI7du358cff8zz3L3N\nmtel8qcaIJFSohogERFxV3Nhs9nsV2u8JSamwL9nUlNT+ctf/sLYsWMZMWIEY8eO5fDhwyxZsoTy\n5cszaNAgWrZsycyZM1myZAmLFi3iyy+/dOb9/Pw4cOAADRs2pHbt2vz73/+mffv2nD17lkOHDnHj\njTfmOubw4cOpXbs2M2bMAODVV19l/fr1bNiwIde2L730Eu+++y7ffPON2/b/9a9/JTAwkPnz51O1\nalW2bdtGhw4d+Pzzz+nfvz+ffPIJLVq04IknnmD37t188cUXznb37t2bZcuWcfbsWVq3bs3SpUu5\n7bbb+OKLLxg8eDBHjx4FID4+noYNG5KRkYGfnx8333wzHTp0YObMmWzfvp1evXrRt29f3nnnnVzt\nO3LkCA0aNHBmL3/Phg0bRr169Zg+fTq7du2iR48erFu3jjZt2rB06VImT57ML7/8gr+/f4E+r5dT\nDZCIiIgQz/fgAAAgAElEQVSIXPWysrIYOHAgMTExjBgxAmMMCxcuZO7cuQQHB1OtWjUmTJjAqlWr\nPNqfv78/e/bsISUlhaCgILedH4BBgwbl2OeKFSsYNGhQru1++OEHpk+fzj//+U+3+0lMTGTTpk3M\nnz+foKAgypcv77xCtXz5coYPH05UVBT+/v7MmjWLbdu2kZCQ4MyPHz+ewMBAwsPDiYmJIS4uDsj/\nPysTEhLYuXMn06ZNo3z58rRv357bb789z4wnHdLsGqAFCxYwcuRIbrrpJmw2G/fddx8VK1bk22+/\nveI+vMGnOkBWHhurMeLK+FymwAmLn48yypRQxqrtUkaZomSsZtKkSZw/f5558+YB9qFoFy5coHXr\n1oSEhBASEkLPnj05deqUR/t777332LBhA5GRkURHR+f5h3t0dDQXLlxgx44dxMfHs3v37hxD1wAO\nHDhAr169mDdvHu3bt3e7n6NHjxIaGkpQUFCudYmJiURERDjnq1atSlhYGMePH3cuq1WrlvN1lSpV\nOHfu3BXP8cSJE4SGhlKpUiXnsvDw8CvmPHHkyBHmzJnjfO9DQkI4duxYjqF7Jal8qRxVRERERMQL\nVq1axerVq/nvf/9LuXLlAKhevTqVK1dm79691K5dO1ematWqXLhwwTl/+d3Z2rRpwwcffEBmZiYv\nv/wy/fr1y3HFJVu5cuXo168fK1eupEaNGvTp04eqVas61x85coRu3brxj3/8g3vvvTfPcwgPDycp\nKYmzZ8/m6gTVqVOH+Ph45/z58+c5ffo0devWzXN/ntyNrXbt2iQlJfHHH39QuXJlwH5VqDju5Fa/\nfn0mTZrExIkTi7yv4qAaIBHxmGqARETEyjVAu3btonv37nz66ae0atUqx7oxY8aQmJjIK6+8wjXX\nXMPx48fZs2cP3bt3Z9++fdxwww1s376dZs2aMWbMGBYsWMCBAwcIDw/n3XffpXfv3gQFBbFo0SJm\nzJjB4cOH3bZhx44d9O3bl+rVqzNz5kz69OkDwPHjx+nYsSOPPPII48aNu+K5ZB/v1VdfddYAdezY\nkc8++4yBAwfyySef0Lx5c5588kl27drF1q1bgZx1OECO5/HExsYyZMiQfGuAOnbsyIwZM9i5cyc9\ne/bk9ttvd1sDdHn28mO7Hve7777jzjvv5N///jc33XQTFy5cIDY2lk6dOlGtWrUrvhf5KUwNkK4A\niYjHKuD+J0mFkm6IiIhYSkBwMKmOu615a/+eWLt2LcnJydx6663OZR07dmT9+vXMnj2badOm0a5d\nO06dOkXdunV55JFH6N69O02bNuUf//gHXbt2pUqVKsycOZOFCxc697Fs2TIeffRRMjMzad68OcuX\nL8+zDW3btqVatWokJibSs2dP5/I333yTw4cPM2XKFKZMmQLY/0hPSUlxu5+lS5cyduxYmjdvzqVL\nl+jcuTMdO3akS5cuTJ8+nbvvvpszZ87Qvn37HHVHl1+xufx5PO7WZ1u+fDlDhw4lLCyMtm3b0r9/\nfzIzM/M81/z25Xrc1q1bs3DhQkaPHs3+/fupXLkyHTp0oFOnTnnuW3IyedmyZUue68paxqrtUubq\nzgCGKY7pfpfX+XxfllTblFGmrGSs2i5llPE04+nPfCn7+vXrZ6ZMmVLazchXXl+P4HbQCuBjN0EQ\nEREREZHC2blzJwcPHiQrK4uNGzeydu1a7rjjjtJuVrFTDZCIeMxms8EUNyumqAZIRORqkVfNhZR9\n69at45FHHuH06dOEh4czYcIE7r///tJuVr4KUwOkDpCIeEwdIBERUQdIrOSqfxCqle+Pr+dEKONr\nGdzf/KbYj6OMMr6WsWq7lFGmKBmRssSnOkAiIiIiIiL50RA4EfGYhsCJiIiGwImVXPVD4ERERERE\nRPLjUx0gK4+N1RhxZXwtoxogZZQpXMaq7VJGmaJkRMoSn+oAiYiIiMjV7ZdffiEqKorAwEBeeeWV\nfLeNj4/Hz8+PrKysEmqdWEFJ1AAFA28C12F/IuswYD+wGogA4oF+QLJj+wnAA0Am8Biw+bL9qQZI\npJSoBkhERNzVXIQEhpCcmpxHouiCA4I5k3LGo22HDx9OcHAwc+bMueK28fHxNGzYkIyMDPz8dF2g\nLCpMDVB5L7cJ4F/ABuBvjuNVBSYBnwDPA08B4x1TC6C/42Nd4FOgKaBuuYiIiIhFJacms4UtXtt/\nTGqMx9seOXKEW265xWttkbLP213dIKAD8JZjPgM4C9wOvO1Y9jZwh+N1X2AlkI79ytABoK2nB7Py\n2FiNEVfGJzJ+2K8AXT55+JPEcuejjDKlkLFqu5RRpigZq+jcuTOxsbGMHj2awMBA9u/fz/r167nx\nxhsJCgqifv36TJ06Nc/8e++9R4MGDdi7dy/GGJ577jkaN25M9erV6d+/P2fOuL8KlZycTO/evalR\nowahoaH06dOH48ePA7B69WpuuummHNu/+OKL9O3bt/hOXArEkz9b/gkEAhWAz4BTwBAP998A+B1Y\nDHwPLMR+BagmcNKxzUnHPEAd4JhL/hj2K0EiYgVZYB/JaoAtf77WNVoREbGAzz//nA4dOvDqq6+S\nkpJCkyZNqFatGsuWLePs2bOsX7+e119/nQ8//DBHzhjD4sWLGT9+PJ999hktWrRg3rx5rF27lq1b\nt5KYmEhISAijRo1ye9ysrCyGDx9OQkICCQkJVK5cmdGjRwPQp08ffvnlFw4cOODcfsWKFdx7773e\neyMkX57UAO0GWgF3Ar2Bx4EvgRs8yLYBtgG3AP8FXgJSgdFAiMt2SUAo8DLwLbDcsfxN7MPn/uOy\nrWqAREqJfTytu+8/PRNCRORq4a7mwmazeXcIHDEe/56JiYlh8ODBDB8+3O36MWPG4Ofnx9y5c501\nQM8//zyLFy/mk08+oU6dOgC0aNGCV155hc6dOwOQmJhIREQEFy9evGK9UFxcHJ07dyYpKQmAIUOG\n0LRpU5555hn2799P69at+e2336hUqZKnb4HkwVs1QNnb9Ab+jX0Im6d/6RxzTP91zP8b+00OfgVq\nOT7WBn5zrD8OhLvk6zmW5TB06FAiIyMBCA4OJioqiujoaODPy7aa17zmi3/eLhaIdnntssZi7dW8\n5jWvec17Z97qHH/8ArB9+3bGjx/Pnj17uHTpEmlpafTr1y/H9nPmzOGZZ55xdn7AfoOEO++8M0dn\np3z58pw8eZLatWvnyF+4cIGxY8fy8ccfO4fJnTt3DmMMNpuNQYMGMW7cOJ555hlWrFjBnXfeqc5P\nMYqNjSUuLo7kZPuNOOLj44u8z+eAn4E4wB+oAWwvQH4r9hsZgL1a4Hn+vPkB2G9+8JzjdQuX4zQA\nDpK752bysmXLljzXlbWMVdulzNWdAQwYx7TF5XXe35cl1TZllCkrGau2SxllPM24+5kPmC1s8drk\n6e8ZY4yJjo42ixYtcs43bNjQvPTSSyYtLc0YY8yYMWPM4MGDjTHGHD582NhsNvPDDz+Y2rVrm/fe\ne8+Za9asmfnmm288Oua0adNMdHS0OXnypDHGmF27dhmbzWYyMzONMcZcunTJVK9e3cTFxZnmzZub\nTZs2eXw+kr+8vjbI54KNX14rXIzHPoStNXAJOI/9ZgWeehT7kLbd2IfNPYu9w9MN2Ad05s8O0F7g\nXcfHjcAj+TVeRERERORyxmVI1Llz5wgJCcHf358dO3awYsWKHFeIAK677jo2bdrEqFGj+OijjwB4\n6KGHmDhxIgkJCQD8/vvvrF271u3xzp07R+XKlQkKCiIpKSnXjRYqVKjAPffcwxNPPMGZM2fo1q1b\ncZ6uFJAnNUBVsdf91AdGAE2AZsA6L7YrP8ao1kCkVKgGSERErP4coJiYGIYMGcIDDzwA2O/sNm7c\nOJKSkujUqRMNGjQgOTmZd955h/j4eBo1akR6ejp+fn589913/PWvf+Xtt9+me/fuvPTSS7zxxhuc\nOHGCGjVqMGDAAGbMmJHrmImJiQwaNIidO3dSt25dHn/8cR5++GHnfgG++uorOnbsyKhRo3j55ZeL\n7825yhWmBsiTDtC7wHfAfdgfZloV+Ab7jRFKgzpAIqVEHSAREcnrD06R0lCYDpAnQ+AaAbOxD38D\n+xA4S8ou0POFjFXbpYwyLqkSOY4yyvhaxqrtUkaZomREyhJPOkBpQGWX+UaOZSIiIiIiImWKJ0Pg\nugOTsN+h7ROgPTAUvHiz9/xpCJxIKdEQOBER0RA4sRJv1QABVAfaOV5/C5wqRPuKizpAIqVEHSAR\nEVEHSKzEWzVAdwEZ2O/6ts7x+o5Ct9KLrDw2VmPElfG1jGqAlFGmcBmrtksZZYqSESlLPOkATQZc\n72uYjP2BpiIiIiIiImWKJ0PgfsD+AFNXPwLXF39zPKIhcCKlREPgxMoqVaxE2iX39+ip6F+Ri2kX\nS7hFIr5JQ+DESgozBK68B/v9DpgLvOrYySjHMhEREctIu5TGljzuzxNzKaaEWyMiIlblyRC4R4F0\nYDWwCriIvRNkOVYeG6sx4sr4WkY1QMpYPRNHXIkcRz/flVHGun755ReioqIIDAzk5Zdf5uGHH2bG\njBml3SwpZZ5cAToHPOXthoiIiIhI2RQSEkhycqrX9h8cHMCZMykFzj3//PN06dKFuLiC/4eI+C5P\naoCaAU8AkfzZYTJAZy+16UpUAyRSSlQDJFZms9nyHgJHjL5GRYqJu5oLm83GFi8+ITImhgJ/D2dk\nZNCjRw8GDhzI8OHDvdQyKW3eug32GuB74Gng7y6TiIiIiIhlREZG8vzzz9OqVSv8/f2JjY1l9OjR\nBAYGsn//foYOHcozzzxT2s2UUuZJBygdeB3YDux0TJa8CYKVx8ZqjLgyvpZRDZAyVs+oBkgZZa7O\nGqBVq1axYcMGLly4QIcOHXj11VdJSUmhSZMm2Gy27CsDchXzpAP0EfabHtQGQl0mERERERHLsNls\nPPbYY9StW5dKlSoBuYfOaTiseNIFjsf9oP8GxdsUj6kGSKSUqAZIrEw1QCIlw8o1QA0aNODNN9+k\nS5cujlwMQ4YM4YEHHgBg2LBh1KtXj+nTp3uvsVKivPUcoMgitUpEREREpIRoiJtciSdD4KoCzwAL\nHfNNgN5ea1ERWHlsrMaIK+NrGdUAKWP1jGqAlFHm6qwBupzr1QFdCRbw7ArQYuw3PbjFMX8C+Dew\nzluNEhEREZGyIzg4gJgY7z4HqLBcrwjpJggCntUAfQe0BnYBNzqW7QZaeatRV6AaIJFSohogsTLV\nAImUjLxqLkRKg7eeA5QGVHaZb+RYJiIiIiIiUqZ40gGaAmwC6gErgM+Bp7zYpkKz8thYjRFXxtcy\nqgFSxuoZ1QApo4xqgETcuVIHyA8IAe4GhmHvALWBPMYYuBcP/IB9CN0Ox7JQ4BNgH7AZCHbZfgKw\nH/gZ6F6A44iIiIiIiOSrIDVAhXXYkU9yWfY8cMrx8SnsnazxQAvsnaybgLrAp0BTIMslqxogkVKi\nGiCxMtUAiZQM1QCJlXirBugT4AkgHPuVm+ypQG27bP524G3H67eBOxyv+wIrgXTsV44OAG0LeCwR\nERERERG3POkADQBGAVuxXw36DthZgGMY7FdydgIjHMtqAicdr0865gHqAMdcssewXwnyiJXHxmqM\nuDK+llENkDJWz6gGSBllVAMk4s6VngPkh32I2uoiHKM9kAhcg/1q0s+XrTe4H1Pjul5ERERERKTI\nrtQBygKepGgdoETHx9+B97EPaTsJ1AJ+BWoDvzm2OY59qF22eo5lOQwdOpTIyEgAgoODiYqKIjo6\nmujoaOf/WkRHRwNccT57mafbX/6/IgU9njfnfe38dT7WOx/HXoFox1Sw41ntfHzt83O1nw/Yr/pE\nEeV23krn443z97XPp87H2ucjYiWxsbHExcWRnJwMQHx8fL7be3IThOew37BgNXDeZXmS+81zqAKU\nA1KBqtjv+DYV6AqcBmZjv/lBMDlvgtCWP2+C0JicV4F0EwSRUqKbIIiV6SYIIiXD12+CMGXKFA4e\nPMjSpUtJSEjguuuuIyUlJbuoXvKwZMkSFi1axJdffnnFbXv16sXAgQMZMmRIkY/rrZsguKsB+s7D\nNtUEvgTigO3AOuydoOeAbthvg93ZMQ+wF3jX8XEj8AgFGAJ3+f+OlOWMVduljDIuqRI5jjLKFDaj\nGiBllCm5TGBgIDabzWtTYGBggdtUWK4dnfr165OamlrsnZ/4+Hj8/PzIysq68sbFmLWKDRs2ODs/\nS5YsoUOHDiV6/CsNgQOILML+D4PLWIQ/JWG/CuTOTMckIiIiImVAamqqJfefkZFB+fKe/LlbcNlX\nHYrSOSrKlTRfvgpnBfcD97mZSosRkdIBGDBuJn1fSukDzBa2uJ30NSpSfNx9P/HnTa28NnkqIiLC\nzJ4921x//fWmUqVKJjMz02zbts3cfPPNJjg42LRq1crExsY6tz906JDp2LGjCQgIMN26dTOjR482\ngwcPNsYYc/jwYWOz2UxmZqYxxphOnTqZSZMmmVtuucVUrlzZHDx40Pzvf/8zXbt2NaGhoaZZs2bm\n3Xffde77woUL5vHHHzcREREmKCjIdOjQwfzxxx8mPDzc2Gw2U61aNVOtWjXz7bffmv3795uOHTua\noKAgU716ddO/f3+35+cum5WVZaZPn24iIiJMjRo1zH333WfOnj2b53v00UcfmVatWpng4GBzyy23\nmB9++MEYY8yqVatMgwYNTEpKijHGmA0bNphatWqZU6dOGWOMsdlsZt68eaZhw4amevXq5u9//7vJ\nysoyxhizePFic+uttzqP8fXXX5s2bdqYoKAgc9NNN5lvvvnGua5Tp07mzTffNP/73/9MxYoVTbly\n5Uy1atVMSEiIMcaY9evXmxYtWpiAgABTt25d88ILL+R5Lnl9bVDEG6m9ArzsmN4EDgH/LsoOiyjP\nN0BEvAt1gMTCUAdIpES4+37CYh2gG2+80Rw7dsxcvHjRHDt2zISFhZmNGzcaY4z55JNPTFhYmPOP\n+nbt2plx48aZS5cuma1bt5qAgAAzZMgQY4z7DlBERITZu3evyczMNMnJyaZevXpmyZIlJjMz0+za\ntctUr17d7N271xhjzCOPPGJiYmLMiRMnnB2xtLQ0Ex8fn2O/xhgzYMAAM3PmTGOMMWlpaebrr792\ne37usosWLTKNGzc2hw8fNufOnTN33XWX8xwu9/3335saNWqYHTt2mKysLPP222+byMhIc+nSJWOM\nMffee68ZOnSoOXXqlKlTp45Zv369M2uz2Uznzp3NmTNnTEJCgmnatKl58803jTE5O0CnT582wcHB\nZtmyZSYzM9OsXLnShISEmKSkJGOMMdHR0WbRokXGGGOWLFmSo+NkjDG1atUyX331lTHGmOTkZPP9\n99/n9ekuVAfIkxqg0cCjjulB4P8BAZ71VUqWlcfGaoy4Mr6WUQ2QMlbPqAZIGWVK8neCddhsNh57\n7DHq1q1LxYoVWbZsGb169aJHjx4AdO3alTZt2rB+/XoSEhLYuXMn06dPp0KFCnTo0IE+ffrkObzM\nZrMxdOhQrr32Wvz8/Ni0aRMNGjTg/vvvx8/Pj6ioKO666y7WrFlDVlYWixcv5l//+he1a9fGz8+P\ndu3a4e/v73b//v7+xMfHc/z4cfz9/bnlllvctsFddvny5YwbN47IyEiqVq3KrFmzWLVqlds6oQUL\nFjBy5EhuuukmbDYb9913HxUrVmTbtm0AvPrqq3z++efExMRw++2306tXrxz5p556iuDgYMLDwxkz\nZgwrV67MdYz169fTrFkz7r33Xvz8/BgwYADNmzdn7dq1Hp2Pv78/e/bsISUlhaCgIG688Ua370Vh\nedIButwFoEGxtkJERKSIylOOGJd/YxnrfF2ecqXdPBEpQeHhfz5V5ciRI6xZs4aQkBDn9PXXX/Pr\nr79y4sQJQkJCqFy5snP7iIiIAu17+/btOfa9YsUKTp48yenTp7l48SKNGjXyqM3PP/88xhjatm1L\ny5YtWbx4scfnm5iYmKPd9evXJyMjg5MnT+ba9siRI8yZMydHm48dO0Ziov3JNUFBQfztb3/jp59+\nYty4cfmef/369Tlx4kSubU6cOEH9+vVzLIuIiHC7rTvvvfceGzZsIDIykujoaL799luPcsXpI5dp\nPfYbG8wu8Vb8Kc9LYCLiXWgInFgY7r84jSng8BkRyZ+77ycsNAQuMjLSfPbZZ875WbNmmREjRrjd\nNj4+3pQvX96cP3/euWzQoEF5DoFzHbpljDErV6403bp1c7vvzMxMU7lyZbN79263x718GJurr776\nylSqVMkcPHjQo2yXLl3Ma6+95pz/5ZdfTIUKFdzuf+TIkebZZ591e1xjjNm1a5cJCQkx9957r+nR\no0eOdTabzWzatMk5/9prr5muXbsaY3IOgVu6dKlp27ZtjuzNN99s3n77bWPMlYfAZcvIyDAvvvii\nCQ8Pz7O9eX1tUMQhcHNcpllAR+Apz/oqIiIiIiKlZ/DgwXz00Uds3ryZzMxMLl68SGxsLMePHyci\nIoI2bdowefJk0tPT+eqrr1i3bl2++zMuQ7Z69+7Nvn37WLZsGenp6aSnp/Pf//6Xn3/+GT8/Px54\n4AEef/xxEhMTyczMZNu2bVy6dIlrrrkGPz8/Dh486NzXmjVrOHbsGADBwcHYbDb8/HL/qe4uO3Dg\nQF588UXi4+M5d+4cEydOZMCAAW7zI0aMYP78+ezYsQNjDOfPn2f9+vWcO3eOixcvMnjwYGbNmsVb\nb73F8ePHef3113PkX3jhBZKTkzl69Cjz5s2jf//+uY7Rs2dP9u3bx8qVK8nIyGD16tX8/PPP9O7d\nO9e2NWvW5NixY6SnpwOQnp7O8uXLOXv2LOXKlSMgIIBy5Yr3Kr4nHaAE7M/wiQW+wv5Q1MhibUUx\nsfLYWI0RV8bXMqoBUsbymQIn9PNdGWUKmwkI8G55eFH2X69ePT788ENmzpxJjRo1qF+/PnPmzHHW\nx6xYsYLt27cTGhrKtGnTuP/++3PkL7/Ntet8tWrV2Lx5M6tWraJu3brUrl2bCRMmcOnSJcDeWbj+\n+uu56aabCAsLY8KECRhjqFKlCpMmTaJ9+/aEhoayfft2du7cSbt27QgICKBv377MmzePyMjIXOfj\nmg0JCWHHjh088MADDBkyhI4dO9KwYUOqVKnCyy+/7Pb9aN26NQsXLmT06NGEhobSpEkT3nnnHQAm\nTJhAREQEI0eOxN/fn2XLlvH000/n6Gz17duX1q1bc+ONN9K7d2+GDx/ufF+y35uwsDDWrVvHnDlz\nqF69Oi+88ALr1q0jNDQ0V3u6dOnCddddR61atahRowYAy5Yto0GDBgQFBbFgwQKWL1+e9ye4EDy5\nMfoa4GaX+Szsd4FrU6wtEREREZEyKSUlpbSb4HT48OFcy9q2bZtnx65BgwZs3brV7brIyEgyMzOd\n81u2bMm1TdOmTfO8alSpUiVefPFFXnzxxVzrpk6dytSpU53zf/nLX5g927Mqk8uzAM888wzPPPOM\nR/nbbruN2267Ldfyy9t5ww03cPr06RzLevXqxejRo3Nl77///hydx/bt27Nz5063x3d9HytUqJDr\n/du4ceOVT6IIPHlyUxy5H2a6G2hV/M3xiDF53JlDRLzL/j877r7/bHogm5Q6f5uN9DzWVQAu6WtU\npFjYbPqZf7Xy8/PjwIEDNGzYsLSb4pTX16PjapTbvo4nQ+BOAX1d5vs6lomIiFhGej6/0fJbJyIi\nnrl8OGBZ5cmvhIeAicBRxzQeGOnNRhWWlcfGaoy4Mr6WUQ2QMpbLZEHOm0Zt+fN17kdhlGzbSvgY\nyihT0hm5OmRmZlrq6k9heVIDdAD4C38+/DTVe80RERERERHxHk+uY83C/tyfZMd8CDAOeNpbjboC\n1QCJlBLVAImV5f31CfoaFSk+qgESK/FWDVBP/uz8AJwB/lqI9omIiIiIiJQqTzpAfkAll/nKgL93\nmlM0Vh4bqzHiyvhaRjVAylg9Y9WvUSu/Z8oo40kmJCTE+cwXTZpKewoJCSnw17gnHaDlwGfAcOBB\n4FPgnQIfSURERETKvKSkJIwxOaYtW7bkWnalSRlliiOTlJRU4K9hT+9l1xPo4nj9CfBxgY9UfIwx\nGncqUhpsNtUAiXXl/fUJ+hoVEbm62H8nuO/reHIXuAaO7b4A9gIHi61lIiIiIiIiJSi/IXCBwLvY\nh78Nc0yfAGsc6yzHKmNjiyNj1XYpo4xLqkSOo4wyhc1Y9WvUyu+ZMsooo4yvZlzl1wF6GfsVn8bA\nXY6pMfAj8EqRjioiIiIiIlIK8qsBOoC9w1PQdd6mGiCRUqIaILEy1QCJiEi2/GqA8rsCpN8UIiIi\nIiLiU/LrAG0D/kHOnpMNeMaxzlPlgF3AR475UOy1RPuAzUCwy7YTgP3Az0D3AhwDsPa4Q40RV8bX\nMlatr1BGGZdUiRxHP9+VUUYZZayfcZVfB+hR4Absd337j2M6CEQ51nnq/7DXEmVfURqPvQPUFPsN\nFsY7lrcA+js+9gBeu0L7RERERERECsST5wA1xt4pMcD/sNf/eKoesAR4Fngc6IP96k4n4CRQC/t/\n0TXHfvUnC5jtyG4CpgDfXrZP1QCJlBLVAImVqQZIRESyFfU5QAcoWKfH1YvA38l52+ya2Ds/OD7W\ndLyuQ87OzjGgbiGPKyIiIiIikos3h5j1Bn7DXv+T15UmQ/43WyjQf9dZedyhxogr42sZq9ZXKKOM\nS6pEjqOf78ooo4wy1s+48uQKUGHdAtwO9AIqYb8KtJQ/h779CtTG3kkCOA6Eu+TrOZblMnToUCIj\nIwEIDg4mKiqK6Oho4M83xNP5uLi4Am0fGxtLXFxcgY+XzVvb+9r563yseT6OrYBol9ee5612Pr72\n+bnaz8exV/78+oxzfLTW+RR0+6v186nz0fnofHQ+BTmfuLg4kpOTAYiPjyc/ntQALQWGeLAsP52A\nJ+xXw4QAACAASURBVLDXAD0PnMZe6zMe+13gxmOvM1oBtMU+9O1T7PVHl18FUg2QSClRDZBYmWqA\nREQkW1FrgFq6ybQuRDuyf/M8B7wLDAfigX6O5Xsdy/cCGcAj6FlEIiIiIiJSjPzyWTcRSAWud3zM\nnn4D1hbwOF9gHw4HkAR0xX4b7O5Asst2M7Ff9WkOfFzAY+S6/FaWM1ZtlzLKuKRK5DjKKFPYjFW/\nRq38nimjjDLK+GrGVX4doJlAAPCC42P2FMqfz+4REREREREpM/KrAWqO/Zk9rXE/FO17r7ToylQD\nJFJKVAMkVqYaIBERyZZfDVB+HaCFwAjsYwjc/daIKWrDCkkdIJFSog6QWJk6QCIiki2/DlB+Q+BG\nOD5GY+/sXD5ZjpXHHWqMuDK+lrFqfYUyyrikSuQ4+vmujDLKKGP9jCtP7gLnDzwMdMw+JjAfSC/S\nkUVEREREREqYJ88BWoS9o/S2Y/sh2G9T/aAX25UfDYETKSUaAidWpiFwIiKSrbA1QNl+AG7wYFlJ\nUQdIpJSoAyRWpg6QlKTAwEBSU1NzLQ8ICCAlJaUUWiQirgpbA5QtA/uzebI1ciyzHCuPO9QYcWV8\nLWPV+gpllHFJlchx9PP96sy46/zkt7ywx1FGGWWKJ+PKkxqgvwOfA4cd85HAsCIdVUREREREpBR4\nMgQOoBLQDPvYgl+ANK+16Mo0BE6klGgInFiZhsBJSXIMr3FLX2sipa+wNUB3Y/9NYnP5CH/+dvlP\nMbWvoNQBEikl6gCJlakDJCVJHSARaytsDVAfx9Tb5WNvl+WWY+VxhxojroyvZaxaX6GMMi6pEjmO\nfr4rUxhWPh9llPHFjKv8aoCGFmnPIiIiIiIiFuNJDVB1YDJwK/axBV8C04DTXmxXfjQETqSUaAic\nWJmGwElJ0hA4EWsr6m2wVwG/AXcBfwN+B1YXV+NERERERERKiicdoFrAdOy3wT4EzABqerNRhWXl\ncYcaI66Mr2WsWl+hjDIuqRI5jn6+K1MYVj4fZZTxxYwrT54DtBkYyJ9Xfe5xLBMRERERD4WEBJKc\nnPtBqcHBAZw5k1IKLRK5OnlSA3QOqAJkOeb9gPOO1wYI9EK78qMaIJFSohogsTLVAElJstlsbNmS\ne3lMTN41QIXJiEjh5FcD5MkVoGrF2hoREREREZFS4kkN0PDL5stjvyuc5Vh53KHGiCvjaxmr1lco\no4xLqkSOo5/vysTFFThSqIyV3wNllLF6xpUnHaCuwAagDtAS2EbJD3sTEREREREpMk9qgAAGAK9g\nr/25F/jKay26MtUAiZQS1QCJlakGSEpShfI2MjJzLy9fDtIzVAMkUtqKWgPUFHgM+A/w/9s79zhJ\nyuruf3t79oKw4y4SBeWyKELE2woK5o3KrBrFXADvEjWs5I3Jq0YkaoTExDVGg2iyxHsSFNYbKmJU\nYkSBzGKi4g0Gl4soyIqg4G3HHaLs7vTO+8epnq7uqaem6nT309U9v+98+jPVVXX6udRzreec8zwM\neBFwLS1HCCFWAVcBK4EVwGeAs4H9MY9yhwHbgecB04nM2cDpQCMJU97mxKKMj48zM7PQqw7A6tWr\n2blTnnWEEEL0ltkGTLJwNrOhsWEAsRFClKGICtxngb8FXgqcAHwP+EYBuXuBDcB64FHJ8ROAs4DL\nsYnVlcl3gKOB5yf/TwTeUzB+81RZ71A64v2TCU1+FrtWNhzJLJCKEo5kJOOVqWoZrXKeScZpA0R5\ngx7ZAElGMnFl0hSZYBwPXJEc7wX+ETil4O//Kvm/AqgDO4CTgC3J+S2p3zoZuAjYg60M3QIcVzAc\nIYQQQgghhFiUPBugvwTOTY6fC1ycuvYW4K8K/P4y4BrgIcB7k9/cAaxNhf+L5Ps7gauBjyTXzgc+\nD1zS8ZuyARJthHSqQXrVvUY2QKLKyAZIxKRWq2WrwLFB+wAJUQHybIDyVoBOTR13TnaeUTDsvZgK\n3MHAkzA1uDRzhHsrFrkmhBBCCCGEEKUo4gShF/wS+BxwLHA3cCBwF3AQ8JPknjuBQ1IyByfnFrBx\n40bWrVsHwJo1a1i/fj0TExNt+oATExNAS0cw9P28886bly9y/9atW5mamuJVr3pV4fvTcerX/aOW\n/rLpafLJT8IRR8D69a1zW7duHbr0VPX5GFuBCbLsK4YtPaP2fJZ6eoytWPkEOA97B1et9PQr/aP2\nPKueHjDbn/Wsz7QByvt9WNhfDTo9o/Z8lJ6ll56pqSmmp82v2vbt2/FybeA463sWBwBrkuN9gC8B\nT8HU6l6XnD8LOCc5PhqYwuyFDgduJXvZai7E5ORk8NqwyVQ1XlWUAeYmJ+2zeXPreHLSVhgHGbdR\nkwHmYC75TKaOF8/nfsdNMpJpL5/VLaNVyjPJ+GWAuUkm5yaZnNvM5vnjvLIW6q+qVD4lI5lRkSFH\nkyzPBqhBy4nBPsCvU9f2YfHVo0diTg6WJZ8PAW/D3GB/AjiUhW6w/wpzgz0LnAF8IeN3kzQJYcgG\nKB6yARJVRjZAIiayARKi2nj3Aap3Ge424JiM878AnhqQeUvyEUIIIYSoLHXG2LDAtNnOCyGqzbJB\nR6CXdOrXDrNMVeNVdRntqxBPxmwt+h+OZCTjlalqGa1ynkmmuEyDWZictM/mzfPHDWYLyau/koxk\n4sqkGakJkBBCCCGEEELkkWcDVFVkAyTakA1QPGQDJKqMbIBETGq1GiGDHtkACTF4vPsACSGEEEII\nIcRIMVIToCrrHUpHPI6MdKplXyEZyaSkooSj9l0yns5H/ZVkJBNXJo1clYihZ6xu6gOha0IIIYQQ\nQjSRDZAYekJ7MUD+fgyiPLIBElVGNkAiJrIBEqLayAZICCGEEEIIIRixCVCV9Q6lIx5HZoryStVV\nTk+VZapqXyEZyaSkooSj9l0ysgGSjGSqL5NGNkBCCCGEEGWpBwxQ6zI+FaLqyAZIDD2yAYqHbIBE\nlZENkIhJrVYLtIZhex7ZAAkRD9kACSGGivHxcWq12oLP+Pj4oKMmhBBCiCFnpCZAVdY7lI54MZnQ\nwDdv8FtnjA2Bv3oBLc+q5cGwyPTTvmJmZqbUeW84khltGdkASSaaTGkJ2QBJRjKxZdLIBkhUirwB\nbuhag9mWK9KpKVi/vnUttEGQEEIIIYRYksgGSFSKRF8zSNazD+7FALn7MYjyxLIBkp688CAbIBET\n2QAJUW1kAySGhrEc5zl514QQQgghhCjCSE2Aqqx3KB3xYjKzDZhM/jazef54kklmGwV+wKFUXbU8\nGBaZolrva8fXZtp0rR1fW0heevKS8crIBkgysgGSjGQkk4VsgIQQfWV6ZnreTfkUU6zHbLQ2zMg+\nSwghhBDxkQ2QqBSePX1qY2PQCCwP1evMzc72MopLGo8NUOiZ5u3RJD154UE2QCImsgESotrk2QBp\nBUgMP41GeMgTmhgJIYQQQogliWyAKipT1XjFlJnCYc9TWqLaeVBlGU9ue56p9OQl45WRDZBkZAMk\nGclIJouRmgAJIYQQQgghRB79tgE6BPggcH9MMftfgXcA+wMfBw4DtgPPA6YTmbOB04EG8Ergix2/\nKRugEcZlAxTQw4Z8XWxRHtkAiSojGyARE9kACVFtBrkP0B7gTODhwOOBlwMPA84CLgeOBK5MvgMc\nDTw/+X8i8J4IcRRCCCGEEEIsEfo9ubgL5pX+7wFuAh4EnARsSc5vAU5Jjk8GLsImTtuBW4DjigZW\nZb1D6YiXlylqL7Icm95nfZb3KW6SAdkASabqMrIBkoxsgCQjGclkEdML3DrgMcDXgAcAdyfn706+\nAzwQuDolcwc2YRIiyB6ATcmX24DDU9c2dd4thBBCCCGWMrH2AdoPuAp4E/BpYAeQ3gb+F5hd0Dux\nCdBHkvPnA/8JfCp1r2yARhivDdD8BKiTTdKr7iWjZgO0atVKdu3aveD8ypUruPfeXT0LR8RBNkAi\nJrIBEqLaDHofoOXAJcCHsMkP2KrPgZiK3EHAT5Lzd2KOE5ocnJxrY+PGjaxbtw6ANWvWsH79eiYm\nJoDWkpi+D+d3MDWp9ayfPwbmv4fk57kt+Z9aBdq6dWtl0jfs342twETqOHVlkedT9nk2VUTWr28P\no1fp2bVrN5s3t36/Gd6ZZ+7uye/re9zvxlYWls9qxE/fR+s75LWG5du3QadH3/V92L9PTU0xPW0+\n1bZv384gqWFe4DZ3nD8XeF1yfBZwTnJ8NGYztAIbwt7KwpnbXIjJycngtWGTqWq8+i1TZ2wOe4W7\n4FNnLFMGmGNT8jktdbzJ5HoVN8kkec1c8plMHYfzGZibZHJuksm5zWyeP15UZtI+mze3jos8z7Lp\niRGOZOLItJfP4mU0RtxihyGZ/suQKmyTqeMqtG2SkYxkmn1CNv1eAfpt4EXAt4Frk3NnYxOeTwB/\nTMsNNsCNyfkbgVngZeREXoweDWaZ1w+Ymmp79d/YsGFAsRKjyljdVE+yzgshRB5NBzxZ54UQ1SaW\nDVAvSSZ1YhSp1WpkKkgDbJAN0KAZNRsgT9xEdZENkIhJsO/ZJBsgIarAIPcBEkIIIYQQQojKMFIT\noE4Dw2GWqWq8+i5TT3SSsj71AnpJty1+iztukumUKi1R5X2APHGr8vMpIjM+Pk6tVsv8jI+PDzRu\nvZDxlFG175JxlTVH36N9gCQjmbgyaWLuAyTE4jQa8wosW2l51wGoNRrRoyMGg2xz4jAzM+O6JoQQ\nQgwzsgESlSK0rwKE91aQDVA8otoARbDNWeo2QIl+dJBhywPZAImYyAZIiGoz6H2AhOgvywhPgEZK\nyVOI3pO38bAQQggxiozU8LDKeofSEXfIFL1xL7S2C5pMHc8l1/oQN8nQTxugOmNsyPirF3xnIxsg\n5UEiFSUcte+SkQ2QZCRTfZk0WgESQlSO0H5Q2gtKCCGEEN0iGyBRKdw2QNL7j0JMG6CQorxsgHpH\nKP0wnHmgtkDERDZAQlQb7QMkhBBCCCGEEIzYBKjKeofSEXfIlJbwSVU6DyosE2sfII+ivOxflAeJ\nVJRw1L5LRjZAkpFM9WXSjNQESAghhBBCCCHykA2QqBSyAao2o2YDNFZbbg4XOqgzxuzcnp6FU1Vk\nAySEH9kACVFttA+QEEJk0OZtLn1e3uaEEEKIkWWkVOCqrHcoHXGHTGkJn1Sl86DCMqNmAxQrnCrL\nyAZoabbv4+Pj1Gq1zM/4+PhA41ZpmeYm3J2fgiMr2QBJRjJxZdJoBUgIUT3qddMJyTovhOgpMzMz\nrmtLnvlNuMEm2xPJ+WG0LhBiaTGMtVQ2QCOMbICqTUwboOxQeqsnH8vWqKrIBkjAvJ58EOVbNu72\nUDZAQkRB+wAJIYQQIpN6ji5I3jUhhBhWRmoCVGW9w2HXER+ITGkJn1Sl86DCMrFsgMqHIhsgr4xs\ngJZm+96YC6uW5l0rG84oy7jaQ9kASUYyUWXS6N2OEKJyLCd7zXp57IiMOHXG2EC2x7u6uoelw1zD\nd00IIYYU2QCJSiEboGoTdR+gTRkXNvXYBmhsDBoZA7x6nbnZhfsDjRpBGygYSjsotQU+lG8+ZAMk\nRLXRPkBCCJFFo5E9fMmaFHXB2rXjTE8v9Ka1Zs1qduzY2dOwShHytte8JoQQQowgsgGqqExV4xVV\nprSET6rSeVBhmWj7AN1WXiRWeSsazvT0DJOTttiyeTPzx1mTom7CKS2TTACbn8nUcebKWMy49UCm\nqu2B8mz0ZGQDJBnJVF8mTb8nQB8A7ga2pc7tD1wOfBf4IrAmde1s4HvAd4Cn9TluQgghhBBCiCVG\nv22AngjcA3wQeGRy7lzgZ8n/1wFrgbOAo4GPAo8DHgRcARxJstVYCtkAjTCyAao2I2cDFHG/oSrq\n/XvqW5VRW+BD+eZDNkBCVJtB7gP038COjnMnAVuS4y3AKcnxycBFwB5gO3ALcFyf4ydE5Vi5ahW1\nWm3BZ+WqVYOOmhBCCCHE0DMIG6AHYGpxJP8fkBw/ELgjdd8d2EpQYaqsd1glHfG1a8czB9i1Wo21\na8cHGrc2mdISPqmqlYHds9m2F6Hz3nC6lZENkHOvnSrr/ZeWqF796ZCKEk6V2vduZaqaZ1WXkQ2Q\nZCRTfZk0g/YCN29vm3Nd9JimQTZYA7x+fevahg3FjLJFH2nM0ir6W4GJ5Pwweq2vNtpvSAghhDDG\nx8eZmckeB65evZqdOwfotbTHDGICdDdwIHAXcBDwk+T8ncAhqfsOTs4tYOPGjaxbtw6ANWvWsH79\neiYmJpiYmJifEU5MTAAs+r15ruj9nTPOsuH183uZ9KfpnAQVyY/0vb1MT52wYdrygulpmzQMOD29\neD7p9Ay6fLbHZ4LOt56FyhtTrGd9sfszVn889TX0fQ/AacDh7eHt2ZKfnrLtR5OsN769TE/Z8gad\ntaX9+6DLmyc9eSmqUnrKfi/TfnjL58JVjPbvw5KeWM8z+VW6ag9T/e+g0zNqz0fpKZ+e0OQHYGZm\nxpUfMdMzNTXF9PQ0ANu3bw+mBeJshLoOuJR2Jwg/B96KOT9YQ7sThONoOUE4goWrQHKC0CUhI0wY\nvCFm0Pgdggbwo2bA6zGsjcUoOkGIFU4VDZ9X1Go2CcxgObB7ZOoOVKH+VBXlmw85QRCjRuI0IMiw\nldFBOkG4CPgKcBTwQ+AlwDnA72BusJ+cfAe4EfhE8v/zwMsoqQKX9XZlWGVixavKOsge24+FbzAL\nSFS0DCRSUcKJFbcq2wDFCqdKdW4P2ASw+TmtdRyaGHnCGZRMVeuP8mz0ZFztYYXaAslIplcMS3r6\nrQJ3auD8UwPn35J8hBBCCCGEEKLnDKNVtVTgumRsec3s7DOoj8HsHqnADRKpwEkFLhae+lZlRq0t\niIXyzYdU4GDVqpXs2rV7wfmVK1dw7727BhAj0Q1LSQVu0F7gxABodG4tW/CaEMJHvW4DnKzzQggx\nrOzatTswoVs4KRLDQZ6N+CjRbxugqFRZ77BSOuJ7oeWBfDJ1PJdcG2Dc0sgGiKLpGV+7NnNfp/G1\nawcetzRL1Qao0cB6lclJ2Lx5/rhRbGunSte5Uag/3YZTqfa9S5mq5lm/ZVau3Cd7A+qV+xQNqXTc\nRs0GaNTSI5nRe6ZptAIkxAgwMz1N1uZOM6P2yqbXLCNbBWykXg0JIRZj9+57ydp/bffuYbQUEEIs\nxjDWbNkAdUmV9b1lA+TXKw8plvfcZiaGDVC9lr0auQzmGoNNjzucCM+nLLIBEqB8gy7a3ZIyIRvc\nQdvfehk1m6alTpW3SfEgGyAxPITeyDeviaXBvJpm5/lhfGcjhBBGY5bMlyENrdYLEZWhHlKOj49n\n6uzWajXGx8cL/UZVdRVHQd977Xi2XUqtVmPteMA2pUv7pFHTXy+cnqaVfeenoJV9P+NWZ4wNGX/1\nwu9fysetanWhDYdSdd/KW/OFQ9anYO8wEvWny3Cq2r6PUp7FlPHkgUumSm1BD2RGzV5EMqP3TNMM\n9QrQzMxM6Wvj4+PBa6tXr2bnzp09iZuA6ZnpedWnKaZYz/r5axtmhu9t19rxtUzPTC84v2b1Gnbs\n3DGAGKVoNDK016FW1Mq+jzSYzbRP0hvPCrBgpW0r86VHq21CDC2V7q+EqADD2MPN2wB5dBVHzce5\nh1j63iHbDwjbf3jiNuj05NmyeMPx6KJnS/Rh35wI9klRbXNihLN8DGYzJqNjdeb2BDblisCo2X6M\nWnpioXyLZwMUqy2I1V+NjdUyvVnW6zA7O/rlZtSQDZAQQojeMdsIbLg6+BU6IUREKtwWhDRk8rRj\n5l38d57XCn8lGB/fn5mZhSt+q1evZefOXwwgRtVhqG2AOvHoKnoYJR3xfup716ln2n6Y/UcR25Ty\ncYulv+7Zzyba8/GE0s+4jQXsk8aK7gJaPm5VqwttVHivnVGz/6hqepRn1ZaJZgPUx7ZgLND/juX0\nvSHzgDxzg0HYn0qmuIxNfhbaVWdNirKokg3QqpWrgnblq1auKh3mklwBSr+sSJkkjNwut4OmQepN\n123A4alrFXjbJSKxN/CsQ+dFpQnZFoDsC4ToB6tWrmLX7l0Lzq9csZJ7d92bKTNLwC6U/HY3y253\nAzmDowrbn4rRYtfuXW1qnW1ldHf5AfySswEK6avC0tFZjWkzE2NPH9kADYENUAQZD1HD2ZRxYdNg\ndao9dWd5bYzZwCBqjDp75mTTNGyMWr6tXTvO9HT2qsWaNavZsWOhOlfUtm1TxoVN4bZgrLbcnMl0\nUGeM2bk9wXDK9gmuPdsi9T3CR9kyWmUbIL9duWyAgLC+KkhnVYhhZtWqlezatXvB+ZUrV3DvvQvf\nno4ioYFfaNDnIf1muZPF3i4LEYOZe3I8xOZci0Jor7scg4Q2T5rp8xUYsywne3S5PHZEekSVvefF\naN+bGuuha6PE0rMBCumrVkxntcq6zrHsHmQDBCNhAxRJpjG7cPKTd94bTmj/saJ7j/VT7396eobJ\nSRsrbd7M/HHobXhGSOXjVlpi9Nq3KrXvrv3X2kPqW9xiyTRy7FzyrqVCKhSOSya0112hfe7w7R1U\n8L6Q3W6eze4eaO0ddlrrOHtdKiNuFSs7ze07JplkM5vnj0Nqv1HjFqF9n2uE10XyrrWF0qc86N6u\nvJ0ltwK0vNEIVszlAd24latWsXtX9hvkFStXsuvebB3cGIzV6zT2Zrec9WXLmJUe7kCp8tukUWO2\nEdBfb/T2LanLUFiISIza/msuZsP2p1XwtlZVQna7stldOixYbazQ3n1t5RO6LqNLzgbIZZcyNkae\n4dDc7GB13sPqKL2zs3HFrV4Lv9VaBnON0bcB8srIBsgnEyuvQ/RS73987VpmphdOnlevWcPOHdmT\n51CbmL8vWvn6VrbNCaknQm9VFD3p8diLVPqlWMBeBMI2I6NmA9Rb+9MKtG2OvYO8NkBl26mq2jd6\niWXr66Fs+96UKWsDlDewHrQNkK9eywbITyNH572HKywj511pwS7z6WvDOPceLfYfH2dHxqrF2tWr\n+UVgzwfhxKH3PzM9ndkRzVRA778su3btzulTsydGnomJh3tyVu5C13bnvPQKXQvtsQL5+6yUpTE2\nR2D+Y9cGSKxnOnJUeO8gIYaVobYBCm0vUmqLEY8+fnmRQvqNId3TovqnnnhVeY+VUbMB8sj00yZj\nx8xMliZ65qSoV3GLJRMrrwszAL1/375oWyNIFItbWt+9vzrv4c4ieC15KZZVf0LaAnkqkkXUJwu3\nU83B8ibabDLYRPYqwsKQioWTlujShqHoMx01+9NoeweVF/HlW0GZ8bXZdmrja4vYqHVvD1fMFq54\nP7J/wC50/4J2oa4xSKT23WVzFsvG01W3Wwz1CpAZZGW/6ipqrCWWJjG8qQgRm/pYtgef+hA2h6G0\nNK/1il7rlS8VtJoTEccKsss7myOcrle3UzYmeavboRXUvNXTkD1cni1c09A+63yI5stE6NgLaRjt\nQus5buAKOgobFoawW2zRk6X+wxe/pZOJAvd0qyOeNlztZbx6ITUx4QmpWjLNN5GdbNhQrMHyPB+P\njOv5RAklZkjlZfqZ13XqNmjOON/LcNpYXyw9jbk6ZMTNzhdhonCU/BLFktOYpQdbFkwUjVKLPvUJ\nHrpWi3akpds2FIq1owWLdBuuvqePeRBNJqROnqNKbpZeC2X25Jl+O8JxyaQpWBC6dT5TtE9oBNz8\nF3XxP1Horg4ZR7n21J9CsWsE1C0hqHIZsleFfJvVtphFq9sthnoCFNSLhYHrxu7etSvYee8eQh1+\nIYTRWNbIVF1rLKvAakGjQeZgpCGbu2Ek/Qa7kyXj0U2IiFR5X6OqrvCH7FWh2jarVbQBOhH4DvA9\n4HWlJPuks9qsEFmfwpWipB6la5+Z0hLFpUI6u8X1dj2xiyPj0aUdBRugbmUq/Uz7mdfd2vNE0sOO\nZkPnCMWVnFh50CcbizztkSKaJa4yHcn+xdWGOmRkAzSCMj5jlvLBFKw/Xe9rVDJeUGJ/q8BKfvEV\n/mLhtOGpP5Hshrq1AaraBKgOvAubBB0NnAo8rLD0XY4QC8i0lpKbn83zx0UrBbfcUipat1DufsA1\n5CsqNT/Dn5yEl7+8zXo1tPTZfeziyJR8NCZT8PnUGZvfqOtMzkxt2lX0lY1nolWefpadWDLpTdLa\n87po51Ct9LThKaR9ilvnC6ENlH8h5EpOrDxw9CNFQmnUcjbnzLnWpHCf0LTJ2ARsod0JQqEeP1Ib\n6pCZ8gyWPeOCKrcFoybjqteOYBxjqqJlJ90mFm0P0xtqb9iwodiG2innK61RKOFtWhZQ4Pmk249N\ntLchRWcMjmdaqG73Im4pqqYCdxxwC7A9+f4x4GTgpsy7s4zvvpC6VgTXdg3FdgRu4557yt1OufvB\nFSufVMm0uMOJJONJTtHn07ap2IUXwsaNdr7wsnCx9HQu25+ZOh9iLCBTvFGo1jPtXjWtWulpo0J1\nbqFtwSaaDXHIvmAsw6723e9uXeudUCeOPHD0CYVCSatsT0KbnXUBle3CfUKbTcYm2jrJQnYZ/WtD\nOx9p83E2r2XRafx+5plnzh8Xch8eq4+XjE+maOFZRvYqe8GxXuH60zmuLDCmbG8TN7FYewg+myZP\nP99OgeezwKZrE/MZUtSuy9FfTRd5kd6LuKWo2gToQcAPU9/vAI4P3u3JjKxJ01WpawOkuVrQZAtb\n2q6JIaRTaXfLltb5HuJpgGcDMrNDuT8y4YHfsO451TlabJadwoP/6jDboM2W5UIuZCMbAdjQCLwM\n2JszKci7VpYK9wlVptNZ1JYt7dey8HhudbkP73ymV3VcE8NHrPY9UjgeZzrz6nnQ9hJlz6asu6tN\nlle/N77xjUBv90XLo2qj6i53adu++C0LJk0bgQuTa0ULeIFwOrlr8bVU2727GbeNzMcLaAQGpZ1v\nBN7YcW1xthe6q40CaelJOH2UCXXeRb083lV0bbwReKaFjdK3F7xPMiMnExrkFx78FwwngkyWdDGn\npQAAIABJREFUa9nmC55ghx+rrXaEk2Uo/cbUtUwcg/LOfGt/KVaksdpe4B6fjGndBPqrQPvWqM9l\nOSlsXcugXg9r+ATb67Zn2h63YmVne4F7JOOW6frFYLFwQi+Vi79QLhaOR8alsRBqQwpP6rcXvbGc\nTJbr7EUGVd3ui1Y4bjlU7dXo47HHe2Ly/WysiLw1dc8U8Oi40RJCCCGEEEIMEdeBa1+M6IwBtwLr\ngBXYZKe4EwQhhBBCCCGEGDKeAdyMOUM4e8BxEUIIIYQQQgghhBBCCCGEEEIIIYQQQgghInDACIUT\nKy2jxH2BY4G1Be9fC+TsOFYJypaDBwPPBn6zz+EUkXk0cAW2l9fhmNPOXwL/DRxRIpxjSsarbDnY\nP/ksxv2ANwD/F/O589fA54C3lQirSNw2A08o+HtNTk8dHwxciW348BXgyICM5/kcmtz/P8Bf0e7w\n7NMl4wywrcS9/+X4/RhltGx5KxKvNEXLpyctnnKTxWJ1tBflpmg+nwj8MWZHnOb0hbcG6ab/DZXp\nXtcdEcZTFzztLlh5ex9wafJ5Hy0nXiGeDLwb+Czw78A5OfHqRsZTF2Klp2w4y4EXpe45DXgXlr6q\nOXPrO88AbsMak8cAN2DOE+4EnhqQ8TRAnnDKVr4YYSxGmYHIYjKefPZ0xB+h1VE9Hbgdy5PbgecF\nZB4EfBDLq73YnlM/xDwPhrzXxkqPpxykwz85kb8A+C7wkh6G45H5KvAHwKnAj5P/y5JzXwzIHJN8\njk39vzN1PgtPOTgMe6Y/xWwNb0mOP8bCzqLJ5zFvlO8FtgLvBJ4EvAn4TA/j9lPgm8k952L5vRjX\npo4vBl4K1IFnYmUvC8/zuQL4syRO78LKczN91wZknp3xeVby/2cBmW3At5P/zc+u1PksYpXRss/U\nEy9P+fSkxVNuPHXUU248decfgC8B52F5/MrUtVA4nufjKdOePNgBnA88heKDPI+Mp7+K9dLFI+Op\nC55295+B/wReADwx+ZyanHtHQOYczCf7i4FLgLdj9e5awuXaI+OpC7HS4wnn/cAnsUnWx7Gxz4uT\n47cFZEaW6zDvcL8F/AJzn01yLvRwPQ2QJ5yylS9GGOBrtGM19J6O+PrU8VdpDQwOIDxIam4dVsPS\ncR6wH/Bm4F8DMrHS4ykH6fNfxToIyM8DTzjdxu2WnGtp9mL5O5n6/Dp1nIWnHFwNPJ/2fdDGsAb5\n6oDMdcn/GvCjwLVexK2ZN0cCf4sNyG7GVp9CA4t0fnb+7lQBmaLPpzOdLwJuBB6SI7MH2IJNzNOf\nCyG4NftnsQHww7DJwDrsRUXzOBS3GGW07DP1xMtTPj1p8ZQbTx31lBtP3bme1guqNdhLi/OwOtvL\nts1Tpj15cDPwCiy/f4QNHB8fuLcbGU9/FeulS7cT+7J1oUy7+73A+VpGuE3S5XoMe05gK5s39Fim\nbF2IlR5POM3fWo7V05WpMEPtwciSfoA/7LgWarg9DZAnnLKVL0YY4Gu0YzX0no74BkwtAuztXb3j\nWpG4XZM6vrmgTL/S0205+FakcIrKpNP9so5r15PNs7G3Vr+bOndb4N4mnnIQaoDzrm3DVJEOBXbS\nPtkMrYZ64pZVph6NvWm7NSDzU+zN2TuxQU96lTKU157ncwOwquPcU7E26McBmWuARwaudZalNM/C\n3vKenHxfrBzEKqNln6knXp7y6UmLp9x462jZcuOpOzd1fB8DPoC9OS5S34o+H0+Z9uRBOm6HAa9L\nwr4NeEufZDz9VT9funhkPHXB0+5uA47LOH884T7hOkydGuz5pF9o5I1bysp46kKs9HjCSZepL2TE\nwUXR7XCrxj3An2IN5E7gTOATWIMyHZAZwxqge5PvHwbuwjJz3x6Gk26o/6njWpaaVYwwwArW28ku\nYE/poYwnnw/GOuIaNqBcjk2+mr+XxRuxN47vAr6M5dmlwARwWUDmZ9iy6X9hHXmz415GWF0gVno8\n5eBRQHPL5FXAQVhnupLw3tCecDwy7wFWJ/F7T+r8EdiqWhaXYG/13oSp8L0mcF8aTzm4JonTFloD\nlkMxveJQp/pP2OBzB/YW8gqs/PwmphrZq7hlcV3yOStw/bXYtvc1TI1jNfaW7EBsNSWL0PN5KOHn\n837sbfLW1LkrgOdiaiNZvAorM1k8K3Ae4FO0ysLp2L5wefSyjOblQdln6omXp3x66pun3HjqqKfc\neOrO94ETgKuS77NY2fl7wmXN83w8ZdqTB2l+gKngvhVrc57fQxlPf+WR8YxbPDKeupDFYu3uRkwl\nejVwR3LuYKxsbAzIvAWr398DjgL+X3L+/oQH8h4ZT12IlR5POHdh2jr3YCqxTQ7C1KOXFEdgqxD/\ngBmyn4+9lf8U9mY+i7/AGs9OHgNc3sNw/gx7sFm/dV6fw3hoIAwwe4XDAtce10MZTz5vxDr35v+m\n0e9BhN9agaX3XMzw7lKsUj095/7DsOX66zEVm4OS8/fDJkRZxEqPpxyEWIOpdPQqnF7GrSjHYIOF\nnxa4t2w5WIm9GbyMlo3JZcm5lTlyK2hNLMext1i/USJu/1Egbln1eqmzHmvz8ohZRss8U0+8vOUz\nNmXqqIey9fo+wD6BawcHzg+ibStK54C/XzIbKd9fhWQOzJHxjFvKjqe8dNPuHgQ8NvkcWOD++2Hj\npzKOU8rKeOpCk2Z6jqVcetYUjFtnOEXzLYt9scmWEEKU9prWTzzeYdIso1qe+g6l1civw97ePqIP\n4dSwDuWZwEmU9+qX5m8D5zs9Xb0YU4V6KeHV0GfSUne4P+ZQ5HrMEDXUqfbae083edFJLzz7VQmP\nB6cQoXLTSY1idbTbtqAI6RcUzTBfgzk66CWeuuORET48Ht0e5QwrvULV9FRYts/qVNNbLJzxAuF4\n6kI39adsf5XuSw8HnsPifWkNW0Vt2qIfzxKuOzHcAnpdI3biceEK4U7I23F7OsgYeeYZWHnC8QzG\nPB1XrwdWoXLQ9MJUxiMTlK87nvR4vMNksVjdiVVHz8JU3m7G8uE7mFrLDcCrc+Saef0Z7K3yYnl9\nAqaOdAWmbvc5TAVoK3DIInHMImSTkFalej2m0nkapiO+OSCT1iv/BKYudAj2Fji0Gtpr7z23B857\n6qnHs1/ZNuRZlG/bYGFb/V7y22qPZ6U8QuXGk8/etqBs3/NtWu3RazGD7NdjZfOcRcIpk9eeuuOR\nyWKxdsrTx8Xqf739Ytn+yuPRrYGpcb0JOLrA/WAqhT/DbIROBrZjDiBuJ1x+Xp3x+TmmafIXPQzH\nUxc8Mp7+ytOXPg2zAbsMW6U9Pzm+lfxV4ZEklltAT0XyuHANEeqEPB23p4OMlWeegZUnHM9gzNNx\nNZ/P+yj+fPIIlQOPRyZP3fGkx+MdxlN3YtXRGzGVggMwPeSm6tu+Oenx5PVU6rcPp+Xq/HcIez2a\nyfnMBmSu7TjeLzleTthQOO0opNPpRkjf2+O95505n5mAjKeeejz7lW1DPG2bp632eFbqttwUzWdP\nW+Dpe9LhfIuWCtAYYeNqT1576o5HxtNOefq4WP2vZ9ziaUO9njQfganv3YLl71mEvU6S3HMg1k7/\nitbKx2HA1wMy92DP4g3JZxM2cWh+71U4nrrgkfH0V56+9DtkP4vDk2tLilhuAT0VqawLV08n5Om4\nvS4OY+SZZ2DlCcczGPN0XJ7n4ykHz6a8RyZP3fGkx+MdxuP+OEYdhVb5qAM/oV0loUiHUjSv0+Ww\nTnv5uzEgczthHerQ5Pk7tFYNO8tx6Jn+K/B3WOf1j7SMaTfQMrbtxOO9ZwYzTN+IDa6bn43Y29Is\nvANMj2e/5u8WaUM8bZunrd5Gec9KnnLjbQ/LtgWevuertLyzXUbLLmWfnLh58tpTdzwynnbK08fF\n6n+73UqgaBvq8ejWKXM8NqG/IxVmnkxnXEJl9FBsgnouZqcD5TxcFg3HUxc8Mp7+ytOXfo9spxcr\nCNfTkSWWW0BPRYJyLlw9nZCn4/Z0kLHyzDOw8oTjGYx5Oi7P8/GUAzDjzfMw5w6HsXhj6nVbWTY9\nz8e8EF2Bxf/3k/P3Bz6aE79u3B836XUdBbgo+XwW8wR4CaZq8oHkexaevL4Ae4v7IuxtbNOoeV/C\nb7reTHbdhrCHqa20rxw+MDl/APZmN4sVmHeu25PPXuwN3kVY2cjiMlqD5DQHEX57OQn8duDa9sB5\nTz19CTahugX4Pay8XIENev4oIFO2DfG0bZ62+lgsP2/C3tpfnhx/LbmWxZuT38wiVG48+expCzx9\nz6OSOHwIU+P6PrZ68C3ghQEZT15vpXzd8chA+XbK08fF6n89/YinDQ1NCvIIySwj2wlSU6ZpM5Mu\nQ2OEJwxNTsEmVs+lWB9XNhxPXfDIePorT196Nla2X5fE5YXYCt0UYS+sI4unQf0cpq/Yyd9jHXkW\nnorUZD/sDcJnMLuMEJ7Bi6fj9nSQsfLMM7DyhOMZjG2lfMfleT6ecpCmqEcmT93xpAd83m6geN2B\nOHUUzM34Rlr6xi/CXKy+krBnLk9erwBejunt/wmtt2P7kK+O0SvqtN5M5rEGqwNeI9Q87z37F4xD\nmq34Bpidnv2OJ9+z32Vke4wKtSGets3TVqfj0fSsdNAi93rYii+fy7YFnr4HbFD4u8AZmAH388n3\nTtVNXndSJ7w1Qp7MYmW9TDvl6eNi9b+efsTThno8uoUG+HkcR7antXVY/7AY+2EqfV/qUzhl60JI\nJq/OevorT18KZpt1Ni116LMobq81cpRtUD1uAXvhkraIC1cPZTvuJmU6yEHkWdGBVS/dBXtcKS7W\n2XmfTzcso7V5YB7NulPGbWXZ9Hi96qQpUneqXEfBPwns/I08PHkdSyaPXnp0C7FYPa1hZfnZdOdZ\naF/gAYvcU3bS2KvJTF4+d3pj8no2XCyfy3qx6saNb5rFnkmTtOvfInld1vtXrPYwRJHyCf3vfz39\nYtn+KpY3QNE7Op2riBwG5bJwNfamfbGKWKZT8VZWb8edpUcZKnyeuHXT0JeJW56MZ6KRN0iI1dn1\nwqVmkzw3tk13ks+iWNnxpMfjVQe6H5AVraNlXU2ny/wabNl/G/YWsuggCxZ3efpWWuX3sZgawi3Y\nm9mJgIwnr2PJ5BFS7VyNqeTcgKnK/Ax7I79xkd8rW669noU8ZfSx9MatuUc2lM9ez4Zl2ymPFytP\n37N/x+d+SVjN73mUaQs86fHWnbLtVC8G//tRrA3tpIg7Z084Zeu1x5tZ+rkVbd8fh62CfhhrEy4H\nfgl8g7BTCI+Mtz0M8fnAeU8e3BfL0w8Df9hx7T0LbwfCfdwPCPdx6Xw7hGL5NrLEclmYfoBPSO6d\nxJZsfy8gU7ZT8VRWT8e9IYn3zzHvHIenroWWsz1x8zwbT9w8MnmEBgmxOjtPOHmE0uMpO570eLzq\neAZknjrqcd2ZLlPvx1Rx1mEekz6dJYDP5Wlap3srrQ2Hj2ShgXI6bmXzOpaMx6PbZzF1mUOwfPpb\nLP0fJLzJoqdcezwLlS2jsdyae/LZ443J65K3rBcrT9+zF3s26c+e5P/3AzKe5+NJj6fueONWNt88\nbainbfOE46nXHm9mnvb9G9jE8tQkDc/FJmZPwRwK9ErG0x4eE/gcC9wVkPHkQXNrh2diLuQvwVTc\nOn8vjaeP8+TbyBLLZWH6AW6ltbfKgwk/qLKdiqeyejrubwIPxwrNc7B8+63kWi/dinqejSduHhnP\nICFWZ+cJx+M5zlN2vIPlNEW86ngGZJ466nHdmQ7nOtrfQIaMiz0uT2+itap5dce1Ip03lPdg1E8Z\nj0e3Tm9VTduSZbR7rErjKdcez0Jly6inrHnaqW7yuYw3pm770aJerDx9z6uxwXF6xbqI04Bu2oKi\n6fHUHU/cuh38b6VYG+pp2zzheOq1x5uZp31Py3TuTzZFNh4ZT3vYoN1Wr3OrjMXiVjQPOs//NTZJ\nP4BwXei2jyuabyNLLJeFnS4/i8iU7VS8rjvLdtydlejhWOU5hd66UvQ8G0/cPDLdutftZ2fnCcfj\nOc5TdnoxWG6S51XHMyDrpo42wyriuvMO7O3bq7G33unOIeRe1uPy9M+xt7VPxgY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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Now we use g_test with the 'reverse=True' argument to display those exploits\n", "# that do not have a high correlation with a particular ASN.\n", "exploits, matches, cont_table = g_test.highest_gtest_scores(dataframe['description'], \n", " dataframe['asn'], N=7, reverse=True, min_volume=500, matches=15)\n", "ax = exploits.T.plot(kind='bar', stacked=True)\n", "pylab.ylabel('Exploit Occurrences')\n", "pylab.xlabel('ASN (Autonomous System Number)')\n", "patches, labels = ax.get_legend_handles_labels()\n", "ax.legend(patches, labels, loc='best')\n", "\n", "# The plot below is showing exploits who aren't associated with any particular ASN.\n", "# Interesing to see exploits that are spanning many ASNs." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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//ZQuXbrw05/+lEMPPZROnTqlnJfVq1dzxhlnsPvuu1NeXs4JJ5zQ+Ls777yT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\nf0G1MS6YOtMwxnGIO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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "exploits, matches, cont_table = g_test.highest_gtest_scores(dataframe['description'], \n", " dataframe['domain'], N=5)\n", "ax = exploits.T.plot(kind='bar', stacked=True) #, log=True)\n", "pylab.ylabel('Exploit Occurrences')\n", "pylab.xlabel('Domain')\n", "patches, labels = ax.get_legend_handles_labels()\n", "ax.legend(patches, labels, loc='best')\n", "\n", "# The Contingency Table below is just showing the counts of the number of times\n", "# a particular exploit was associated with an TLD." ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['Domain: avisosphp.com Count: 6',\n", " 'Domain: hidravale.sites.uol.com.br Count: 6',\n", " 'Domain: multprintx.dominiotemporario.com Count: 6',\n", " 'Domain: novickarodrigues.sites.uol.com.br Count: 6',\n", " 'Domain: ricolombard.sites.uol.com.br Count: 7',\n", " 'Domain: shopbrand.com.br Count: 6',\n", " 'Domain: transrealtt.sites.uol.com.br Count: 5',\n", " 'Domain: vxalves.sites.uol.com.br Count: 5',\n", " 'Domain: www.sarahbrightman.co.uk Count: 5']\n" ] } ], "source": [ "# Drilling down on one particular exploit\n", "banker = dataframe[dataframe['description']=='trojan banker'] # Subset dataframe\n", "exploits, matches, cont_table = g_test.highest_gtest_scores(banker['description'], banker['domain'], N=5)\n", "import pprint\n", "pprint.pprint([\"Domain: %s Count: %d\" % (domain,count) for domain,count in exploits.iloc[0].iteritems()])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### So switching gears, perhaps we'll look at date range, volume over time, etc.\n", "\n", "Pandas also has reasonably good functionality for date/range processing and plotting." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "# Add the proper timestamps to the dataframe replacing the old ones\n", "dataframe['date'] = dataframe['date'].apply(lambda x: str(x).replace('_','T'))\n", "dataframe['date'] = pd.to_datetime(dataframe['date'])" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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oLqy4QHF+sdbDEUII4SIS/AiPkdpn91AUz5S92a75sWx0qkeW4KdjRzh4UOvR6IO895yX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49sUfnDH8DtZEgYCUt9czrlysDll8v/CeOIZ1lSbcbPq6/CVVeB2Rx6W2qDTuNJvCKufZmUkYFB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\npQB4TvNfpZnHj72WWDN+5nAngFiwmwYBHr+mtEbs3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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Now prepare the data for plotting by pivoting on the \n", "# description to create a new column (series) for each value\n", "\n", "# We're going to add a new column called value (needed for pivot). This\n", "# is a bit dorky, but needed as the new columns that get created should\n", "# really have a value in them, also we can use this as our value to sum over.\n", "subset = dataframe[['date','description']]\n", "subset['count'] = 1\n", "pivot = pd.pivot_table(subset, values='count', rows=['date'], cols=['description'], fill_value=0)\n", "by = lambda x: lambda y: getattr(y, x)\n", "grouped = pivot.groupby([by('year'),by('month')]).sum()\n", "\n", "# Only pull out the top 7 desciptions (exploit types)\n", "topN = subset['description'].value_counts()[:7].index\n", "grouped[topN].plot()\n", "pylab.ylabel('Exploit Occurrences')\n", "pylab.xlabel('Date Submitted')\n", "\n", "# The plot below shows the volume of particular exploits impacting new domains.\n", "# Tracking the ebb and flow of exploits over time might be useful\n", "# depending on the type of analysis you're doing." ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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ZUjqvMkY5OSaAWb06+evWLqOrLQgZo9pldI4gl9OJfaKboIwdC08/nd7aQRER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\nd2VeBIo/jC4gI8OqRw4aZMNG4/H99zBnDmRlxXecdJSyidGiRXZ1afZ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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# The rise and fall of the different exploits is intriguing but\n", "# the taper at the end is concerning, let look at total volume of\n", "# new malicious domains coming into the MDL database.\n", "total_mdl = dataframe['description']\n", "total_mdl.index=dataframe['date']\n", "total_agg = total_mdl.groupby([by('year'),by('month')]).count()\n", "matplotlib.pyplot.figure()\n", "total_agg.plot(label='New Domains in MDL Database')\n", "pylab.ylabel('Total Exploits')\n", "pylab.xlabel('Date Submitted')\n", "matplotlib.pyplot.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### That doesn't look good...\n", "The plot above shows the total volume of ALL newly submitted domains. We see from the plot that the taper is a general overall effect due to a drop in new domain submissions into the MDL database. Given the recent anemic volume there might be another data source that has more active submissions.\n", "\n", "Well the anemic volume issue aside we're going to carry on by looking at the correlations in volume over time. In other words are the volume of reported exploits closely related to the volume of other exploits...\n", "\n", "### Correlations of Volume Over Time\n", "
    \n", "
  • **Prof. Farnsworth:** Behold! The Deathclock!\n", "
  • **Leela:** Does it really work?\n", "
  • **Prof. Farnsworth:** Well, it's occasionally off by a few seconds, what with \"free will\" and all.\n", "
" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "# Only pull out the top 20 desciptions (exploit types)\n", "topN = subset['description'].value_counts()[:20].index\n", "corr_df = grouped[topN].corr()" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "image/png": 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cC5wE/IrdO78/UBM4DqgFjATaBK5zPXA38Jp7rSWQeBjMMBe/dW7eooiIyI5r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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Statsmodels has a correlation plot, we expect the diagonal to have perfect\n", "# correlation (1.0) but anything high score off the diagonal means that\n", "# the volume of different exploits are temporally correlated.\n", "import statsmodels.api as sm\n", "corr_df.sort(axis=0, inplace=True) # Just sorting so exploits names are easy to find\n", "corr_df.sort(axis=1, inplace=True)\n", "corr_matrix = corr_df.as_matrix()\n", "pylab.rcParams['figure.figsize'] = (8.0, 8.0)\n", "sm.graphics.plot_corr(corr_matrix, xnames=corr_df.index.tolist())\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Discussion of Correlation Matrix\n", " * The two sets of 3x3 red blocks on the lower right make intuitive sense, Zeus config file, drop zone and trojan show almost perfect volume over time correlation." ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "description zeus v1 trojan zeus v1 config file zeus v1 drop zone\n", "description \n", "zeus v1 trojan 1.000000 0.965172 0.931997\n", "zeus v1 config file 0.965172 1.000000 0.952504\n", "zeus v1 drop zone 0.931997 0.952504 1.000000\n", "\n", "[3 rows x 3 columns]\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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9xS+9BO+8oy4cmuk/7LQy056e4FzBmSo2Vbh09xIezoZ+7YUQQojnl8lH+Z+b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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pylab.rcParams['figure.figsize'] = (14.0, 3.0)\n", "print grouped[['zeus v1 trojan','zeus v1 config file','zeus v1 drop zone']].corr()\n", "grouped[['zeus v1 trojan','zeus v1 config file','zeus v1 drop zone']].plot()\n", "pylab.ylabel('Exploit Occurrences')\n", "pylab.xlabel('Date Submitted')" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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D9JVowx1MQKVSvvMu3R1BYXEhD3Z4UO98aLtQdl+UfjrmpjLTNV0G3TWI+QPn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\ndSYAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "grouped[['zeus v2 trojan','zeus v2 config file','zeus v2 drop zone']].plot()\n", "pylab.ylabel('Exploit Occurrences')\n", "pylab.xlabel('Date Submitted')" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "description trojan phoenix exploit kit\n", "description \n", "trojan 1.000000 0.835561\n", "phoenix exploit kit 0.835561 1.000000\n", "\n", "[2 rows x 2 columns]\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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cn5MnVVGH5HMpZ8+GJ56wX5U2e8qTB5o1g23b1EidEEIIkdW4c5DqCFrS3vIB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\ntFaYOSvtbe1a6NYNmjaFv/5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VkK2vbiVgcQAFchVgbPOxrm6SxapWhZAQiI+H7Bp/09qS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\nzl44y+CIwURHRNO/Xf8Klwot+WUJk76exJLhS+jXtl+F9uV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, "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Drilling down on the correlation between 'trojan' and 'phoenix exploit kit'\n", "print grouped[['trojan','phoenix exploit kit']].corr()\n", "grouped[['trojan','phoenix exploit kit']].plot()\n", "pylab.ylabel('Exploit Occurrences')\n", "pylab.xlabel('Date Submitted')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Interesting? (shrug... maybe...)\n", "Looking above we see that the generic 'trojan' label and the fairly specific 'phoenix exploit kit' have a reasonable volume over time correlation of .834 *(PearsonsR is the default for the corr() function; a score of 1.0 means perfectly correlated [Pearson's Correlation](http://en.wikipedia.org/wiki/Pearson_product-moment_correlation_coefficient))*. So it certainly might be something to dive into depending on your particular interest, again the win here is that with a few lines of python code we can 'see' these kinds of relationships." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Conclusions\n", "So this exercise was an exploration of the dataset. At this point we have a good idea about what's in the dataset, what cleanup issues we might have and the overall quality of the dataset. We've run some simple correlative statistics and produced some nice plots. Most importantly we should have a good feel for whether this dataset is going to suite our needs for whatever use case we may have.\n", "\n", "In the next exercise we're going look at some syslog data. We'll take it up a notch by computing similarities with 'Banded MinHash', running a heirarchical clustering algorithm and exercising some popular supervised machine learning functionality from Scikit Learn http://scikit-learn.org/." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.6" } }, "nbformat": 4, "nbformat_minor": 1 }