310 lines
20 KiB
Python
310 lines
20 KiB
Python
import argparse
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import os
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import signal
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from interactive_menu import *
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from editor import DeTTECTEditor
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def _init_menu():
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"""
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Initialise the command line parameter menu.
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:return:
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"""
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menu_parser = argparse.ArgumentParser(description='Detect Tactics, Techniques & Combat Threats',
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epilog='Source: https://github.com/rabobank-cdc/DeTTECT')
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menu_parser.add_argument('--version', action='version', version='%(prog)s ' + VERSION)
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menu_parser.add_argument('-i', '--interactive', help='launch the interactive menu, which has support for all modes',
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action='store_true')
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# add subparsers
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subparsers = menu_parser.add_subparsers(title='MODE',
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description='Select the mode to use. Every mode has its own arguments and '
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'help info displayed using: {editor, datasource, visibility, detection, '
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'group, generic} --help', metavar='', dest='subparser')
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parser_editor = subparsers.add_parser('editor', aliases=['e'], help='DeTT&CT Editor',
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description='Start the DeTT&CT Editor for easy editing the YAML administration files.')
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parser_editor.add_argument('-p', '--port', help='port where the webserver listens on (default is 8080)', required=False, default=8080)
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# create the data source parser
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parser_data_sources = subparsers.add_parser('datasource', help='data source mapping and quality',
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aliases=['ds'],
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description='Create a heat map based on data sources, output data '
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'sources to Excel or generate a data source improvement '
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'graph.')
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parser_data_sources.add_argument('-ft', '--file-tech', help='path to the technique administration YAML file '
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'(used with the option \'-u, --update\' to update '
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'the visibility scores)',
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required=False)
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parser_data_sources.add_argument('-fd', '--file-ds', help='path to the data source administration YAML file',
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required=True)
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parser_data_sources.add_argument('-s', '--search', help='only include data sources which match the provided EQL '
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'query')
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parser_data_sources.add_argument('-l', '--layer', help='generate a data source layer for the ATT&CK navigator',
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action='store_true')
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parser_data_sources.add_argument('-e', '--excel', help='generate an Excel sheet with all data source',
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action='store_true')
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parser_data_sources.add_argument('-g', '--graph', help='generate a graph with data sources added through time',
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action='store_true')
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parser_data_sources.add_argument('-y', '--yaml', help='generate a technique administration YAML file with '
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'visibility scores based on the number of available data '
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'sources', action='store_true')
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parser_data_sources.add_argument('-ya', '--yaml-all-techniques', help='include all ATT&CK techniques in the '
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'generated YAML file (when the argument -y, --yaml is provided) that apply '
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'to the platform(s) specified in the data source YAML file', action='store_true')
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parser_data_sources.add_argument('-u', '--update', help='update the visibility scores within a technique '
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'administration YAML file based on changes within any of '
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'the data sources. Past visibility scores are preserved in '
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'the \'score_logbook\', and manually assigned scores are '
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'not updated without your approval. The updated visibility '
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'scores are calculated in the same way as with the option: '
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'-y, --yaml', action='store_true')
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parser_data_sources.add_argument('--health', help='check the YAML file(s) for errors', action='store_true')
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# create the visibility parser
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parser_visibility = subparsers.add_parser('visibility', aliases=['v'],
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help='visibility coverage mapping based on techniques and data sources',
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description='Create a heat map based on visibility scores, overlay '
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'visibility with detections, output to Excel or check the '
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'health of the technique administration YAML file.')
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parser_visibility.add_argument('-ft', '--file-tech', help='path to the technique administration YAML file (used to '
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'score the level of visibility)', required=True)
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parser_visibility.add_argument('-fd', '--file-ds', help='path to the data source administration YAML file (used to '
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'add metadata on the involved data sources)')
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parser_visibility.add_argument('-sd', '--search-detection', help='only include detection objects which match the '
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'provided EQL query')
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parser_visibility.add_argument('-sv', '--search-visibility', help='only include visibility objects which match the '
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'provided EQL query')
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parser_visibility.add_argument('--all-scores', help='include all \'score\' objects from the \'score_logbook\' in '
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'the EQL search. The default behaviour is to only include the '
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'most recent \'score\' objects',
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action='store_true', default=False)
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parser_visibility.add_argument('-l', '--layer', help='generate a visibility layer for the ATT&CK navigator',
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action='store_true')
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parser_visibility.add_argument('-e', '--excel', help='generate an Excel sheet with all administrated techniques',
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action='store_true')
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parser_visibility.add_argument('-o', '--overlay', help='generate a visibility layer overlaid with detections for '
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'the ATT&CK navigator', action='store_true')
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parser_visibility.add_argument('-g', '--graph', help='generate a graph with visibility added through time',
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action='store_true')
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parser_visibility.add_argument('--health', help='check the YAML file for errors', action='store_true')
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# create the detection parser
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parser_detection = subparsers.add_parser('detection', aliases=['d'],
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help='detection coverage mapping based on techniques',
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description='Create a heat map based on detection scores, overlay '
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'detections with visibility, generate a detection '
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'improvement graph, output to Excel or check the health of '
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'the technique administration YAML file.')
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parser_detection.add_argument('-ft', '--file-tech', help='path to the technique administration YAML file (used to '
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'score the level of detection)', required=True)
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parser_detection.add_argument('-fd', '--file-ds', help='path to the data source administration YAML file (used in '
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'the overlay with visibility to add metadata on the '
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'involved data sources)')
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parser_detection.add_argument('-sd', '--search-detection', help='only include detection objects which match the '
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'provided EQL query')
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parser_detection.add_argument('-sv', '--search-visibility', help='only include visibility objects which match the '
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'provided EQL query')
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parser_detection.add_argument('--all-scores', help='include all \'score\' objects from the \'score_logbook\' in '
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'the EQL search. The default behaviour is to only include the '
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'most recent \'score\' objects',
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action='store_true', default=False)
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parser_detection.add_argument('-l', '--layer', help='generate detection layer for the ATT&CK navigator',
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action='store_true')
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parser_detection.add_argument('-e', '--excel', help='generate an Excel sheet with all administrated techniques',
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action='store_true')
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parser_detection.add_argument('-o', '--overlay', help='generate a detection layer overlaid with visibility for '
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'the ATT&CK navigator', action='store_true')
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parser_detection.add_argument('-g', '--graph', help='generate a graph with detections added through time',
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action='store_true')
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parser_detection.add_argument('--health', help='check the YAML file(s) for errors', action='store_true')
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# create the group parser
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parser_group = subparsers.add_parser('group', aliases=['g'],
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description='Create threat actor group heat maps, compare group(s) and '
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'compare group(s) with visibility and detection coverage.',
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help='threat actor group mapping')
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parser_group.add_argument('-g', '--groups', help='specify the ATT&CK Groups to include separated using commas. '
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'Group can be their ID, name or alias (default is all groups). '
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'Other option is to provide a YAML file with a custom group(s) '
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'(default = all)',
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default='all')
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parser_group.add_argument('-o', '--overlay', help='specify what to overlay on the group(s) (provided using the '
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'arguments \'-g/--groups\'): group(s), visibility or detection. '
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'When overlaying a GROUP: the group can be their ATT&CK ID, name '
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'or alias separated using commas. Or provide a file path of a '
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'YAML file with a custom group(s). When overlaying VISIBILITY or '
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'DETECTION provide a YAML with the technique administration.')
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parser_group.add_argument('-t', '--overlay-type', help='specify the type of overlay (default = group)',
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choices=['group', 'visibility', 'detection'], default='group')
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parser_group.add_argument('--software-group', help='add techniques to the heat map by checking which software is '
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'used by group(s), and hence which techniques the software '
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'supports (does not influence the scores). If overlay group(s) '
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'are provided, only software related to those group(s) are '
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'included', action='store_true', default=False)
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parser_group.add_argument('-p', '--platform', help='specify the platform (default = Windows)',
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choices=['all'] + list(PLATFORMS.values()), default='Windows')
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parser_group.add_argument('-s', '--stage', help='specify the stage (default = attack)',
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choices=['attack', 'pre-attack'], default='attack')
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parser_group.add_argument('-sd', '--search-detection', help='only include detection objects which match the '
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'provided EQL query')
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parser_group.add_argument('-sv', '--search-visibility', help='only include visibility objects which match the '
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'provided EQL query')
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parser_group.add_argument('--all-scores', help='include all \'score\' objects from the \'score_logbook\' in '
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'the EQL search. The default behaviour is to only include the '
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'most recent \'score\' objects',
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action='store_true', default=False)
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parser_group.add_argument('--health', help='check the YAML file(s) for errors', action='store_true')
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# create the generic parser
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parser_generic = subparsers.add_parser('generic', description='Generic functions which will output to stdout.',
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help='includes: statistics on ATT&CK data source and updates on techniques'
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', groups and software', aliases=['ge'])
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parser_generic.add_argument('-ds', '--datasources', help='get a sorted count on how many ATT&CK Enterprise '
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'techniques are covered by a particular Data Source',
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action='store_true')
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parser_generic.add_argument('-m', '--mitigations', help='get a sorted count on how many ATT&CK Enterprise or '
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'Mobile techniques are covered by a Mitigation',
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choices=['enterprise', 'mobile'])
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parser_generic.add_argument('-u', '--updates', help='get a sorted list for when updates were released for '
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'techniques, groups or software',
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choices=['techniques', 'groups', 'software'])
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parser_generic.add_argument('--sort', help='sorting of the output from \'-u/--update\' on modified or creation '
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'date (default = modified)', choices=['modified', 'created'],
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default='modified')
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return menu_parser
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def _menu(menu_parser):
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"""
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Parser for the command line parameter menu and calls the appropriate functions.
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:param menu_parser: the argparse menu as created with '_init_menu()'
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:return:
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"""
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args = menu_parser.parse_args()
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if args.interactive:
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interactive_menu()
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elif args.subparser in ['editor', 'e']:
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DeTTECTEditor(int(args.port)).start()
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elif args.subparser in ['datasource', 'ds']:
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if check_file(args.file_ds, FILE_TYPE_DATA_SOURCE_ADMINISTRATION, args.health):
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file_ds = args.file_ds
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if args.search:
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file_ds = data_source_search(args.file_ds, args.search)
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if not file_ds:
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quit() # something went wrong in executing the search or 0 results where returned
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if args.update and check_file(args.file_tech, FILE_TYPE_TECHNIQUE_ADMINISTRATION, args.health):
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update_technique_administration_file(file_ds, args.file_tech)
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if args.layer:
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generate_data_sources_layer(file_ds)
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if args.excel:
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export_data_source_list_to_excel(file_ds, eql_search=args.search)
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if args.graph:
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plot_data_sources_graph(file_ds)
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if args.yaml:
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generate_technique_administration_file(file_ds, all_techniques=args.yaml_all_techniques)
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elif args.subparser in ['visibility', 'v']:
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if args.layer or args.overlay:
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if not args.file_ds:
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print('[!] Generating a visibility layer or an overlay requires the data source '
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'administration YAML file (\'-fd, --file-ds\')')
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quit()
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if not check_file(args.file_ds, FILE_TYPE_DATA_SOURCE_ADMINISTRATION, args.health):
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quit()
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if check_file(args.file_tech, FILE_TYPE_TECHNIQUE_ADMINISTRATION, args.health):
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file_tech = args.file_tech
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if args.search_detection or args.search_visibility:
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file_tech = techniques_search(args.file_tech, args.search_visibility, args.search_detection,
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include_all_score_objs=args.all_scores)
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if not file_tech:
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quit() # something went wrong in executing the search or 0 results where returned
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if args.layer:
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generate_visibility_layer(file_tech, args.file_ds, False)
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if args.overlay:
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generate_visibility_layer(file_tech, args.file_ds, True)
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if args.graph:
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plot_graph(file_tech, 'visibility')
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if args.excel:
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export_techniques_list_to_excel(file_tech)
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# todo add search capabilities
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elif args.subparser in ['group', 'g']:
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if not generate_group_heat_map(args.groups, args.overlay, args.overlay_type, args.stage, args.platform,
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args.software_group, args.search_visibility, args.search_detection, args.health,
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include_all_score_objs=args.all_scores):
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quit() # something went wrong in executing the search or 0 results where returned
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elif args.subparser in ['detection', 'd']:
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if args.overlay:
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if not args.file_ds:
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print('[!] An overlay requires the data source administration YAML file (\'-fd, --file-ds\')')
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quit()
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if not check_file(args.file_ds, FILE_TYPE_DATA_SOURCE_ADMINISTRATION, args.health):
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quit()
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if check_file(args.file_tech, FILE_TYPE_TECHNIQUE_ADMINISTRATION, args.health):
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file_tech = args.file_tech
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if args.search_detection or args.search_visibility:
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file_tech = techniques_search(args.file_tech, args.search_visibility, args.search_detection,
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include_all_score_objs=args.all_scores)
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if not file_tech:
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quit() # something went wrong in executing the search or 0 results where returned
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if args.layer:
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generate_detection_layer(file_tech, args.file_ds, False)
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if args.overlay and check_file(args.file_ds, FILE_TYPE_DATA_SOURCE_ADMINISTRATION, args.health):
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generate_detection_layer(file_tech, args.file_ds, True)
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if args.graph:
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plot_graph(file_tech, 'detection')
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if args.excel:
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export_techniques_list_to_excel(file_tech)
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elif args.subparser in ['generic', 'ge']:
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if args.datasources:
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get_statistics_data_sources()
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elif args.mitigations:
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get_statistics_mitigations(args.mitigations)
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elif args.updates:
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get_updates(args.updates, args.sort)
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else:
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menu_parser.print_help()
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def _prepare_folders():
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"""
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Create the folders 'cache' and 'output' if they do not exist.
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:return:
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"""
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if not os.path.exists('cache'):
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os.mkdir('cache')
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if not os.path.exists('output'):
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os.mkdir('output')
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# pylint: disable=unused-argument
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def _signal_handler(signum, frame):
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"""
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Function to handles exiting via Ctrl+C.
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:param signum:
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:param frame:
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:return:
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"""
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sys.exit(0)
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if __name__ == '__main__':
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signal.signal(signal.SIGINT, _signal_handler)
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_prepare_folders()
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_menu(_init_menu())
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