DeTTECT/dettect.py

297 lines
20 KiB
Python

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