PROXY Threat Investigation Notebook


The following python modules will have to be imported for the notebook to work correctly:

    import struct, socket
    import csv, json 
    import os 
    import datetime
    import operator
    import itertools
    import md5
    from collections import defaultdict 
    import ipywidgets as widgets # For jupyter/ipython >= 1.4
    from IPython.html import widgets
    from IPython.display import display, Javascript, clear_output


  • Execution of the spot-oa process for Proxy
  • Correct installation of the UI Read more
  • Score a set connections at the Edge Investigation Notebook
  • Correct setup of the spot.conf file. Read more

Additional Configuration

top_results - This value defines the number of rows that will be displayed onscreen after the expanded search. This also affects the number of IPs that will appear in the Timeline chart.

##Data source Data should exists in the following tables: proxy proxy_threat_investigation

The following tables will be populated after the threat investigation process: proxy_storyboard proxy_timeline

The following files will be created and stored in HDFS.

    incident-progression-\<anchor hash>.json


Widget configuration

This is not a function, but more like global code to set up styles and widgets to format the output of the notebook.

start_investigation(): - This function cleans the notebook from previous executions, then calls the data_loader() function to obtain the data and afterwards displays the corresponding widgets

data_loader(): - This function lcalls the threats query to get the source and destination IP's previously scored as high risk to create a list with all distinct full_uri values.

fill_list(list_control,source): - This function populates a listbox widget with the given data list and appends an empty item at the top with the value ‘--Select--’ (Just for visualization sake)

display_controls(): - This function will only display the main widget box, containing:

  • “Suspicious URI” listbox
  • “Search” button
  • Container for the “Threat summary” and “Title” text boxes
  • Container for the “Top N results” HTML table

search_ip(b): - This function is triggered by the onclick event of the “Search” button. This calls the graphql threat / details query to find additional connections involving the selected full uri. Afterwards it will read through the output file to display the HTML table, this will be limited to the value set in the top_results variable. At the same time, four dictionaries will be filled:

  • clientips
  • reqmethods *
  • rescontype *
  • referred *

* These dictionaries won't be limited by the top_results value, but will later be used to fill the incident-progression-.json file.
This function will also display the ‘Threat summary’ and ‘title’ textboxes, along with the ‘Save’ button.

save_threat_summary(b): - This function is triggered by the onclick event on the ‘Save’ button. Removes the widgets and cleans the notebook from previous executions, removes the selected value from the listbox widget and executes the createStoryboard mutation to save the data for the storyboard.

removeWidget(index): - Javascript function that removes a specific widget from the notebook.