{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true, "scrolled": true }, "outputs": [], "source": [ "import json\n", "from datetime import datetime, timedelta\n", "import matplotlib.pylab as plot\n", "import matplotlib.pyplot as plt\n", "from matplotlib import dates\n", "import pandas as pd\n", "import numpy as np\n", "\n", "import matplotlib\n", "matplotlib.style.use('ggplot')\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true, "scrolled": true }, "outputs": [], "source": [ "# Read data from http bro logs\n", "with open(\"http.log\",'r') as infile:\n", " file_data = infile.read()\n", " \n", "# Split file by newlines\n", "file_data = file_data.split('\\n')\n", "\n", "# Remove comment lines\n", "http_data = []\n", "for line in file_data:\n", " if line[0] is not None and line[0] != \"#\":\n", " http_data.append(line)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Lets analyze user agents\n", "user_agent_analysis = {}\n", "user_agent_overall = {}\n", "for line in http_data:\n", " # Extract the timestamp\n", " timestamp = datetime.fromtimestamp(float(line.split('\\t')[0]))\n", " # Strip second and microsecond from timestamp\n", " timestamp = str(timestamp.replace(second=0,microsecond=0))\n", " \n", " # Extract the user agent\n", " user_agent = line.split('\\t')[11]\n", " \n", " # Update status code analysis variable\n", " if user_agent not in user_agent_analysis.keys():\n", " user_agent_analysis[user_agent] = {timestamp: 1}\n", " else:\n", " if timestamp not in user_agent_analysis[user_agent].keys():\n", " user_agent_analysis[user_agent][timestamp] = 1\n", " else:\n", " user_agent_analysis[user_agent][timestamp] += 1\n", " \n", " # Update overall user agent count\n", " if user_agent not in user_agent_overall.keys():\n", " user_agent_overall[user_agent] = 1\n", " else:\n", " user_agent_overall[user_agent] += 1" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/html": [ "
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2015-10-21 11:43:00 | \n", "0.0 | \n", "0.0 | \n", "6.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
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2015-10-21 11:45:00 | \n", "0.0 | \n", "0.0 | \n", "6.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
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2015-10-21 11:47:00 | \n", "0.0 | \n", "0.0 | \n", "5.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 11:48:00 | \n", "0.0 | \n", "0.0 | \n", "6.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 11:49:00 | \n", "0.0 | \n", "0.0 | \n", "6.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
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2015-10-21 11:51:00 | \n", "0.0 | \n", "0.0 | \n", "5.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 11:52:00 | \n", "0.0 | \n", "0.0 | \n", "6.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 11:53:00 | \n", "0.0 | \n", "12.0 | \n", "5.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
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2015-10-21 05:09:00 | \n", "8.0 | \n", "3.0 | \n", "0.0 | \n", "4.0 | \n", "0.0 | \n", "0.0 | \n", "2.0 | \n", "2.0 | \n", "0.0 | \n", "10.0 | \n", "
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2015-10-21 06:06:00 | \n", "0.0 | \n", "1196.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
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2015-10-21 06:09:00 | \n", "1.0 | \n", "1015.0 | \n", "0.0 | \n", "1.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
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2015-10-21 06:11:00 | \n", "5.0 | \n", "13.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 06:12:00 | \n", "0.0 | \n", "1.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "1.0 | \n", "0.0 | \n", "0.0 | \n", "
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2015-10-21 06:14:00 | \n", "0.0 | \n", "63.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 06:16:00 | \n", "0.0 | \n", "58.0 | \n", "0.0 | \n", "6.0 | \n", "0.0 | \n", "2.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
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2015-10-21 06:20:00 | \n", "0.0 | \n", "46.0 | \n", "0.0 | \n", "2.0 | \n", "0.0 | \n", "7.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 06:21:00 | \n", "0.0 | \n", "2.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "1.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 06:24:00 | \n", "0.0 | \n", "3.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "1.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
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2015-10-21 10:34:00 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "1.0 | \n", "
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2015-10-21 10:36:00 | \n", "0.0 | \n", "24.0 | \n", "0.0 | \n", "0.0 | \n", "18.0 | \n", "0.0 | \n", "2.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 10:37:00 | \n", "0.0 | \n", "9.0 | \n", "0.0 | \n", "0.0 | \n", "34.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 10:38:00 | \n", "0.0 | \n", "2.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 10:44:00 | \n", "0.0 | \n", "32.0 | \n", "0.0 | \n", "6.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 10:45:00 | \n", "0.0 | \n", "30.0 | \n", "0.0 | \n", "3.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 11:10:00 | \n", "0.0 | \n", "21.0 | \n", "0.0 | \n", "3.0 | \n", "0.0 | \n", "0.0 | \n", "1.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 11:11:00 | \n", "0.0 | \n", "10.0 | \n", "0.0 | \n", "1.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
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2015-10-21 11:40:00 | \n", "0.0 | \n", "12.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 11:41:00 | \n", "0.0 | \n", "8.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 11:42:00 | \n", "0.0 | \n", "6.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 11:43:00 | \n", "0.0 | \n", "6.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 11:44:00 | \n", "0.0 | \n", "5.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 11:45:00 | \n", "0.0 | \n", "6.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 11:46:00 | \n", "0.0 | \n", "6.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 11:47:00 | \n", "0.0 | \n", "5.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 11:48:00 | \n", "0.0 | \n", "6.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
2015-10-21 11:49:00 | \n", "0.0 | \n", "6.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
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2015-10-21 11:51:00 | \n", "0.0 | \n", "5.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
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2015-10-21 11:54:00 | \n", "0.0 | \n", "4.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "
70 rows × 10 columns
\n", "