mirror of https://github.com/MISP/PyMISP
move files from examples/treemap to examples/situational-awareness/
Déborah Servili
parent
e53f59bcbf
commit
caa8b963ec
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## Explanation
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* treemap.py is a script that will generate an interactive svg (attribute\_treemap.svg) containing a treepmap representing the distribution of attributes in a sample (data) fetched from the instance using "last" or "searchall" examples.
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* It will also generate a html document with a table (attribute\_table.html) containing count for each type of attribute.
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* test\_attribute\_treemap.html is a quick page made to visualize both treemap and table at the same time.
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## Requierements
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* [Pygal](https://github.com/Kozea/pygal/)
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body
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{
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/*font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;*/
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font-family: Consolas, "Liberation Mono", Menlo, Courier, monospace;
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}
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h1
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{
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font-size: 16px;
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width: 290px;
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text-align:center;
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}
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/*** Stats Tables ***/
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table
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{
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border-collapse: collapse;
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border-spacing: 0;
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border: 1px solid #cbcbcb;
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}
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tbody
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{
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font-size:12px;
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}
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table td
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{
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border-left: 1px solid #cbcbcb;
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border-width: 0 0 0 1px;
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width: 150px;
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margin: 0;
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padding: 0.5em 1em;
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}
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table tr:nth-child(2n-1) td
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{
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background-color: #f2f2f2;
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}
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table tr td:first-child
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{
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font-weight: bold;
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}
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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from pymisp import PyMISP
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from keys import misp_url, misp_key, misp_verifycert
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from datetime import datetime
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import argparse
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import json
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import tools
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def init(url, key):
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return PyMISP(url, key, misp_verifycert, 'json')
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########## fetch data ##########
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def searchall(m, search, url):
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result = m.search_all(search)
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with open('data', 'w') as f:
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f.write(json.dumps(result))
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='Take a sample of events (based on last.py of searchall.py) and create a treemap epresenting the distribution of attributes in this sample.')
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parser.add_argument("-s", "--search", help="string to search")
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parser.add_argument("-t", "--tag", required=True, help="String to search in tags, can be composed. Example: \"ransomware|Ransomware\"")
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parser.add_argument("-b", "--begindate", help="The research will look for Tags attached to events posted at or after the given startdate (format: yyyy-mm-dd): If no date is given, default time is epoch time (1970-1-1)")
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parser.add_argument("-e", "--enddate", help="The research will look for Tags attached to events posted at or before the given enddate (format: yyyy-mm-dd): If no date is given, default time is now()")
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args = parser.parse_args()
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misp = init(misp_url, misp_key)
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searchall(misp, args.search, misp_url)
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if args.begindate is not None:
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args.begindate = tools.toDatetime(args.begindate)
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if args.enddate is not None:
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args.enddate = tools.toDatetime(args.enddate)
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Events = tools.eventsListBuildFromArray('data')
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TotalEvents = tools.getNbitems(Events)
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Tags = tools.tagsListBuild(Events)
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result = tools.isTagIn(Tags, args.tag)
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TotalTags = len(result)
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Events = tools.selectInRange(Events, begin=args.begindate, end=args.enddate)
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TotalPeriodEvents = tools.getNbitems(Events)
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Tags = tools.tagsListBuild(Events)
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result = tools.isTagIn(Tags, args.tag)
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TotalPeriodTags = len(result)
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text = 'Studied pediod: from '
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if args.begindate is None:
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text = text + '1970-01-01'
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else:
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text = text + str(args.begindate.date())
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text = text + ' to '
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if args.enddate is None:
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text = text + str(datetime.now().date())
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else:
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text = text + str(args.enddate.date())
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print '\n========================================================'
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print text
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print 'During the studied pediod, ' + str(TotalPeriodTags) + ' events out of ' + str(TotalPeriodEvents) + ' contains at least one tag with ' + args.tag + '.'
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if TotalTags != 0:
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print 'It represents ' + str(round(100*TotalPeriodTags/TotalTags, 3)) + '% of the fetched events (' + str(TotalTags) + ') including this tag.'
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if TotalEvents != 0:
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print 'It also represents ' + str(round(100*TotalPeriodTags/TotalEvents, 3)) + '% of all the fetched events (' + str(TotalEvents) + ').'
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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from pymisp import PyMISP
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from keys import misp_url, misp_key, misp_verifycert
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from datetime import datetime
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import argparse
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import json
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import tools
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def init(url, key):
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return PyMISP(url, key, misp_verifycert, 'json')
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########## fetch data ##########
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def searchall(m, search, url):
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result = m.search_all(search)
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with open('data', 'w') as f:
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f.write(json.dumps(result))
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='Take a sample of events (based on last.py of searchall.py) and create a treemap epresenting the distribution of attributes in this sample.')
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parser.add_argument("-s", "--search", help="string to search")
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parser.add_argument("-b", "--begindate", help="The research will look for Tags attached to events posted at or after the given startdate (format: yyyy-mm-dd): If no date is given, default time is epoch time (1970-1-1)")
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parser.add_argument("-e", "--enddate", help="The research will look for Tags attached to events posted at or before the given enddate (format: yyyy-mm-dd): If no date is given, default time is now()")
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args = parser.parse_args()
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misp = init(misp_url, misp_key)
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if args.search is None:
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args.search = ''
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searchall(misp, args.search, misp_url)
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if args.begindate is not None:
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args.begindate = tools.toDatetime(args.begindate)
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if args.enddate is not None:
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args.enddate = tools.toDatetime(args.enddate)
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Events = tools.eventsListBuildFromArray('data')
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TotalEvents = tools.getNbitems(Events)
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Tags = tools.tagsListBuild(Events)
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result = tools.getNbOccurenceTags(Tags)
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TotalTags = tools.getNbitems(Tags)
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Events = tools.selectInRange(Events, begin=args.begindate, end=args.enddate)
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TotalPeriodEvents = tools.getNbitems(Events)
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Tags = tools.tagsListBuild(Events)
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result = tools.getNbOccurenceTags(Tags)
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TotalPeriodTags = tools.getNbitems(Tags)
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text = 'Studied pediod: from '
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if args.begindate is None:
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text = text + '1970-01-01'
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else:
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text = text + str(args.begindate.date())
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text = text + ' to '
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if args.enddate is None:
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text = text + str(datetime.now().date())
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else:
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text = text + str(args.enddate.date())
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print '\n========================================================'
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print text
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print result
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'''
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print 'During the studied pediod, ' + str(TotalPeriodTags) + ' events out of ' + str(TotalPeriodEvents) + ' contains at least one tag with ' + args.tag + '.'
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print 'It represents ' + str(round(100*TotalPeriodTags/TotalTags,3)) + '% of the fetched events (' + str(TotalTags) + ') including this tag.'
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print 'It also represents ' + str(round(100*TotalPeriodTags/TotalEvents,3)) + '% of all the fetched events (' + str(TotalEvents) + ').'
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'''
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<html>
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<head>
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<style>
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#stats
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{
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height: 746px;
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margin-top: 100px;
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}
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#treemap
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{
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width: 1000px;
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}
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</style>
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</head>
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<body>
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<table><tr>
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<td><iframe id="stats" src="attribute_table.html" frameBorder="0"></iframe></td>
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<td id="treemap"><object type="image/svg+xml" data="attribute_treemap.svg"></object></td>
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</tr></table>
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<!--
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<div id="stats"><iframe src="table.html"></iframe></div>
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<div id="treemap"><object type="image/svg+xml" data="test.svg"></object></div>
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-->
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</body>
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</html>
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import json
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from json import JSONDecoder
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import random
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import pygal
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from pygal.style import Style
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import pandas as pd
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from datetime import datetime
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from datetime import timedelta
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from dateutil.parser import parse
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################ Tools ################
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def buildDoubleIndex(index1, index2, datatype):
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it = -1
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newindex1 = []
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for index in index2:
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if index == 0:
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it+=1
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newindex1.append(index1[it])
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arrays = [newindex1, index2]
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tuples = list(zip(*arrays))
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return pd.MultiIndex.from_tuples(tuples, names=['event', datatype])
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def buildNewColumn(index2, column):
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it = -1
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newcolumn = []
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for index in index2:
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if index == 0:
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it+=1
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newcolumn.append(column[it])
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return newcolumn
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def dateInRange(datetimeTested, begin=None, end=None):
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if begin == None:
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begin = datetime(1970,1,1)
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if end == None:
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end = datetime.now()
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return begin <= datetimeTested <= end
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def addColumn(dataframe, columnList, columnName):
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dataframe.loc[:, columnName] = pd.Series(columnList, index=dataframe.index)
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def dateInRange(datetimeTested, begin=None, end=None):
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if begin == None:
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begin = datetime(1970,1,1)
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if end == None:
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end = datetime.now()
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return begin <= datetimeTested <= end
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def toDatetime(date):
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temp = date.split('-')
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return datetime(int(temp[0]), int(temp[1]), int(temp[2]))
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################ Formatting ################
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def eventsListBuildFromList(filename):
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with open('testt', 'r') as myfile:
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s=myfile.read().replace('\n', '')
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decoder = JSONDecoder()
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s_len = len(s)
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Events = []
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end = 0
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while end != s_len:
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Event, end = decoder.raw_decode(s, idx=end)
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Events.append(Event)
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data = []
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for e in Events:
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data.append(pd.DataFrame.from_dict(e, orient='index'))
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Events = pd.concat(data)
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for it in range(Events['attribute_count'].size):
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if Events['attribute_count'][it] == None:
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Events['attribute_count'][it]='0'
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else:
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Events['attribute_count'][it]=int(Events['attribute_count'][it])
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Events = Events.set_index('id')
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return Events
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def eventsListBuildFromArray(filename):
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'''
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returns a structure listing all primary events in the sample
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'''
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jdata = json.load(open(filename))
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jdata = jdata['response']
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Events = []
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for e in jdata:
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Events.append(e)
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data = []
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for e in Events:
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data.append(pd.DataFrame.from_dict(e, orient='index'))
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Events = pd.concat(data)
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for it in range(Events['attribute_count'].size):
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if Events['attribute_count'][it] == None:
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Events['attribute_count'][it]='0'
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else:
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Events['attribute_count'][it]=int(Events['attribute_count'][it])
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Events = Events.set_index('id')
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return Events
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def attributesListBuild(Events):
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Attributes = []
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for Attribute in Events['Attribute']:
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Attributes.append(pd.DataFrame(Attribute))
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return pd.concat(Attributes)
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def tagsListBuild(Events):
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Tags = []
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for Tag in Events['Tag']:
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if type(Tag) is not list:
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continue
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Tags.append(pd.DataFrame(Tag))
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Tags = pd.concat(Tags)
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columnDate = buildNewColumn(Tags.index, Events['date'])
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addColumn(Tags, columnDate, 'date')
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index = buildDoubleIndex(Events.index, Tags.index, 'tag')
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Tags = Tags.set_index(index)
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return Tags
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def selectInRange(Events, begin=None, end=None):
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inRange = []
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for i, Event in Events.iterrows():
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if dateInRange(parse(Event['date']), begin, end):
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inRange.append(Event.tolist())
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inRange = pd.DataFrame(inRange)
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temp = Events.columns.tolist()
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inRange.columns = temp
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return inRange
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'''
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def isTagIn(dataframe, tag):
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print 'tag =' + tag
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result = []
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for tagname in dataframe['name']:
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print tagname
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if tag in tagname:
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print 'True'
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result.append(tagname)
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return result
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'''
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def isTagIn(dataframe, tag):
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temp = Tags[Tags['name'].str.contains(test)].index.tolist()
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index = []
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for i in range(len(temp)):
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if temp[i][0] not in index:
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index.append(temp[i][0])
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return index
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################ Basic Stats ################
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def getNbitems(dataframe):
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return len(dataframe.index)
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def getNbAttributePerEventCategoryType(Attributes):
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return Attributes.groupby(['event_id', 'category', 'type']).count()['id']
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def getNbOccurenceTags(Tags):
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return Tags.groupby('name').count()['id']
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################ Charts ################
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def createStyle(indexlevels):
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colorsList = []
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for i in range(len(indexlevels[0])):
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colorsList.append("#%06X" % random.randint(0, 0xFFFFFF))
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style = Style(
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background='transparent',
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plot_background='#FFFFFF',
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foreground='#111111',
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foreground_strong='#111111',
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foreground_subtle='#111111',
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opacity='.6',
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opacity_hover='.9',
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transition='400ms ease-in',
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colors=tuple(colorsList))
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return style, colorsList
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def createLabelsTreemap(indexlevels, indexlabels):
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categories_levels = indexlevels[0]
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cat = 0
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types = []
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cattypes = []
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categories_labels = indexlabels[0]
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types_levels = indexlevels[1]
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types_labels = indexlabels[1]
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for it in range(len(indexlabels[0])):
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if categories_labels[it] != cat:
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cattypes.append(types)
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types = []
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cat += 1
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types.append(types_levels[types_labels[it]])
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cattypes.append(types)
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return categories_levels, cattypes
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def createTable(data, title, tablename, colorsList):
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if tablename == None:
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target = open('attribute_table.html', 'w')
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else:
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target = open(tablename, 'w')
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target.truncate()
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target.write('<!DOCTYPE html>\n<html>\n<head>\n<link rel="stylesheet" href="style.css">\n</head>\n<body>')
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categories, types = createLabelsTreemap(data.index.levels, data.index.labels)
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it = 0
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for i in range(len(categories)):
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table = pygal.Treemap(pretty_print=True)
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target.write('\n <h1 style="color:'+ colorsList[i]+ ';">' + categories[i] + '</h1>\n')
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for typ in types[i]:
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table.add(typ, data[it])
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it += 1
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target.write(table.render_table(transpose=True))
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target.write('\n</body>\n</html>')
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target.close()
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def createTreemap(data, title, treename = 'attribute_treemap.svg', tablename = 'attribute_table.html'):
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style, colorsList = createStyle(data.index.levels)
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treemap = pygal.Treemap(pretty_print=True, legend_at_bottom=True, style = style)
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treemap.title = title
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treemap.print_values = True
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treemap.print_labels = True
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categories, types = createLabelsTreemap(data.index.levels, data.index.labels)
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it = 0
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for i in range(len(categories)):
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types_labels = []
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for typ in types[i]:
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tempdict = {}
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tempdict['label'] = typ
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tempdict['value'] = data[it]
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types_labels.append(tempdict)
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it += 1
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treemap.add(categories[i], types_labels)
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createTable(data, 'Attribute Distribution', tablename, colorsList)
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if treename == None:
|
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treemap.render_to_file('attribute_treemap.svg')
|
||||
else:
|
||||
treemap.render_to_file(treename)
|
||||
Loading…
Reference in New Issue