mirror of https://github.com/CIRCL/AIL-framework
248 lines
8.9 KiB
Python
Executable File
248 lines
8.9 KiB
Python
Executable File
#!/usr/bin/env python3
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# -*-coding:UTF-8 -*
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import json
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import os
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import sys
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import time
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import yara
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from operator import itemgetter
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sys.path.append(os.environ['AIL_BIN'])
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##################################
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# Import Project packages
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##################################
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from lib.objects import ail_objects
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from lib.objects.Items import Item
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from lib import correlations_engine
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from lib import regex_helper
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from lib.ConfigLoader import ConfigLoader
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from lib import Tracker
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from modules.CreditCards import CreditCards
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from modules.Iban import Iban
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from modules.Mail import Mail
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from modules.Onion import Onion
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from modules.Tools import Tools
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config_loader = ConfigLoader()
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r_cache = config_loader.get_redis_conn("Redis_Cache")
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config_loader = None
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r_key = regex_helper.generate_redis_cache_key('extractor')
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# TODO UI Link
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MODULES = {
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'infoleak:automatic-detection="credit-card"': CreditCards(queue=False),
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'infoleak:automatic-detection="iban"': Iban(queue=False),
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'infoleak:automatic-detection="mail"': Mail(queue=False),
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'infoleak:automatic-detection="onion"': Onion(queue=False),
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# APIkey ???
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# Credentials
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# Zerobins
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# CERTIFICATE + KEYS ???
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# SQL Injetction / Libinjection ???
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}
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tools = Tools(queue=False)
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for tool_name in tools.get_tools():
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MODULES[f'infoleak:automatic-detection="{tool_name}-tool"'] = tools
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def get_correl_match(extract_type, obj_id, content):
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extracted = []
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correl = correlations_engine.get_correlation_by_correl_type('item', '', obj_id, extract_type)
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to_extract = []
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map_subtype = {}
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for c in correl:
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subtype, value = c.split(':', 1)
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map_subtype[value] = subtype
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to_extract.append(value)
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if to_extract:
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objs = regex_helper.regex_finditer(r_key, '|'.join(to_extract), obj_id, content)
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for obj in objs:
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if map_subtype[obj[2]]:
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subtype = map_subtype[obj[2]]
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else:
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subtype = ''
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extracted.append([obj[0], obj[1], obj[2], f'{extract_type}:{subtype}:{obj[2]}'])
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return extracted
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def _get_yara_match(data):
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for string_match in data.get('strings'):
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for string_match_instance in string_match.instances:
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start = string_match_instance.offset
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value = string_match_instance.matched_data.decode()
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end = start + string_match_instance.matched_length
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r_cache.sadd(f'extractor:yara:match:{r_key}', f'{start}:{end}:{value}')
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r_cache.expire(f'extractor:yara:match:{r_key}', 300)
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return yara.CALLBACK_CONTINUE
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def _get_word_regex(word):
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return '(?:^|(?<=[\&\~\:\;\,\.\(\)\{\}\|\[\]\\\\/\-/\=\'\"\%\$\?\@\+\#\_\^\<\>\!\*\n\r\t\s]))' + word + '(?:$|(?=[\&\~\:\;\,\.\(\)\{\}\|\[\]\\\\/\-/\=\'\"\%\$\?\@\+\#\_\^\<\>\!\*\n\r\t\s]))'
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def convert_byte_offset_to_string(b_content, offset):
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byte_chunk = b_content[:offset + 1]
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string_chunk = byte_chunk.decode()
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offset = len(string_chunk) - 1
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return offset
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# TODO RETRO HUNTS
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# TODO TRACKER TYPE IN UI
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def get_tracker_match(obj_id, content):
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extracted = []
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extracted_yara = []
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trackers = Tracker.get_obj_trackers('item', '', obj_id)
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for tracker_uuid in trackers:
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tracker = Tracker.Tracker(tracker_uuid)
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tracker_type = tracker.get_type()
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# print(tracker_type)
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tracked = tracker.get_tracked()
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if tracker_type == 'regex': # TODO Improve word detection -> word delimiter
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regex_match = regex_helper.regex_finditer(r_key, tracked, obj_id, content)
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for match in regex_match:
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extracted.append([int(match[0]), int(match[1]), match[2], f'tracker:{tracker.uuid}'])
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elif tracker_type == 'yara':
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rule = tracker.get_rule()
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rule.match(data=content.encode(), callback=_get_yara_match,
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which_callbacks=yara.CALLBACK_MATCHES, timeout=30)
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yara_match = r_cache.smembers(f'extractor:yara:match:{r_key}')
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r_cache.delete(f'extractor:yara:match:{r_key}')
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extracted = []
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for match in yara_match:
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start, end, value = match.split(':', 2)
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extracted_yara.append([int(start), int(end), value, f'tracker:{tracker.uuid}'])
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elif tracker_type == 'word' or tracker_type == 'set':
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if tracker_type == 'set':
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tracked = tracked.rsplit(';', 1)[0]
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words = tracked.split(',')
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else:
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words = [tracked]
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for word in words:
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regex = _get_word_regex(word)
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regex_match = regex_helper.regex_finditer(r_key, regex, obj_id, content)
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# print(regex_match)
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for match in regex_match:
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extracted.append([int(match[0]), int(match[1]), match[2], f'tracker:{tracker.uuid}'])
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# Convert byte offset to string offset
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if extracted_yara:
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b_content = content.encode()
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if len(b_content) == len(content):
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extracted[0:0] = extracted_yara
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else:
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for yara_m in extracted_yara:
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start = convert_byte_offset_to_string(b_content, yara_m[0])
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end = convert_byte_offset_to_string(b_content, yara_m[1])
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extracted.append([int(start), int(end), yara_m[2], yara_m[3]])
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return extracted
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# Type:subtype:id
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# tag:iban
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# tracker:uuid
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def extract(obj_id, content=None):
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item = Item(obj_id)
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if not item.exists():
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return []
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# CHECK CACHE
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cached = r_cache.get(f'extractor:cache:{obj_id}')
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if cached:
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r_cache.expire(f'extractor:cache:{obj_id}', 300)
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return json.loads(cached)
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if not content:
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content = item.get_content()
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extracted = get_tracker_match(obj_id, content)
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# print(item.get_tags())
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for tag in item.get_tags():
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if MODULES.get(tag):
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# print(tag)
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module = MODULES.get(tag)
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matches = module.extract(obj_id, content, tag)
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if matches:
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extracted = extracted + matches
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for obj_t in ['cve', 'cryptocurrency', 'username']: # Decoded, PGP->extract bloc
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matches = get_correl_match(obj_t, obj_id, content)
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if matches:
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extracted = extracted + matches
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# SORT By Start Pos
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extracted = sorted(extracted, key=itemgetter(0))
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# print(extracted)
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# Save In Cache
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if extracted:
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extracted_dump = json.dumps(extracted)
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r_cache.set(f'extractor:cache:{obj_id}', extracted_dump)
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r_cache.expire(f'extractor:cache:{obj_id}', 300) # TODO Reduce CACHE ???????????????
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return extracted
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# TODO ADD LINK UI
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def get_extracted_by_match(extracted):
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matches = {}
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for start, end, value, str_obj in extracted:
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if str_obj not in matches:
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matches[str_obj] = {}
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ob_type, row_id = str_obj.split(':', 1)
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if ob_type == 'tag': # TODO put me in object class
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matches[str_obj]['subtype'] = 'tag'
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matches[str_obj]['id'] = row_id
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matches[str_obj]['icon'] = {'style': 'fas', 'icon': '\uf02b', 'color': '#28a745', 'radius': 5}
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matches[str_obj]['link'] = ''
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elif ob_type == 'tracker': # TODO put me in object class
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matches[str_obj]['subtype'] = 'tracker'
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matches[str_obj]['id'] = row_id
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matches[str_obj]['icon'] = {'style': 'fas', 'icon': '\uf05b', 'color': '#ffc107', 'radius': 5}
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matches[str_obj]['link'] = ''
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else:
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row_id = row_id.split(':', 1)
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if len(row_id) == 2:
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subtype = row_id[0]
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obj_id = row_id[1]
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else:
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subtype = ''
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obj_id = row_id[0]
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matches[str_obj]['subtype'] = subtype
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matches[str_obj]['id'] = obj_id
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matches[str_obj]['icon'] = ail_objects.get_object_svg(ob_type, subtype, obj_id)
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matches[str_obj]['link'] = ail_objects.get_object_link(ob_type, subtype, obj_id)
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matches[str_obj]['matches'] = []
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match = [start, end, value]
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matches[str_obj]['matches'].append(match)
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return matches
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# if __name__ == '__main__':
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# t0 = time.time()
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# obj_id = 'crawled/2022/09/15/circl.lu179c7903-5b21-452e-9f25-4b61d9934e2b'
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# obj_id = 'crawled/2022/09/15/circl.lu1e4f9721-06dc-404f-aabf-3c3bd0b533bd'
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# obj_id = 'submitted/2022/09/13/submitted_ba3ee771-c91c-4f50-9d6a-8558cdac7aeb.gz'
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# # obj_id = 'tests/2021/01/01/credit_cards.gz'
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# # obj_id = 'crawled/2020/07/20/circl.luc9301321-f1b1-4d91-9082-5eb452b946c5'
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# obj_id = 'submitted/2019/09/22/97172282-e4c2-4a1e-b82c-c4fb9490a56e.gz'
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# obj_id = 'submitted/2019/09/20/4fb7f02d-1241-4ef4-b17e-80ae76038835.gz'
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# obj_id = 'crawled/2023/02/21/circl.lu1c300acb-0cbe-480f-917e-9afe3ec958e8'
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#
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# extract(obj_id)
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#
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# # get_obj_correl('cve', obj_id, content)
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# # r = get_tracker_match(obj_id, content)
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# # print(r)
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#
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# print(time.time() - t0)
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