forked from p15670423/monkey
parent
9217581e1c
commit
d25ad3a209
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@ -10,4 +10,4 @@ class T1158(PostBreachTechnique):
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unscanned_msg = "Monkey didn't try creating hidden files or folders."
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scanned_msg = "Monkey tried creating hidden files and folders on the system but failed."
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used_msg = "Monkey created hidden files and folders on the system."
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pba_names = [POST_BREACH_HIDDEN_FILES]
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pba_name = POST_BREACH_HIDDEN_FILES
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@ -1,32 +1,24 @@
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import abc
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from common.utils.attack_utils import ScanStatus
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from monkey_island.cc.database import mongo
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from monkey_island.cc.services.attack.attack_config import AttackConfig
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from monkey_island.cc.database import mongo
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from common.utils.attack_utils import ScanStatus
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from monkey_island.cc.services.attack.technique_reports import AttackTechnique
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class PostBreachTechnique(AttackTechnique, metaclass=abc.ABCMeta):
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""" Class for ATT&CK report components of post-breach actions """
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@property
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@abc.abstractmethod
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def pba_names(self):
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def pba_name(self):
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"""
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:return: name of post breach action
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"""
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pass
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@classmethod
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def get_pba_query(cls, post_breach_action_names):
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"""
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:param post_breach_action_names: Names of post-breach actions with which the technique is associated
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(example - `["Communicate as new user", "Backdoor user"]` for T1136)
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:return: Mongo query that parses attack telemetries for a simple report component
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(gets machines and post-breach action usage).
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"""
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def get_pba_query(cls, post_breach_action_name):
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return [{'$match': {'telem_category': 'post_breach',
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'$or': [{'data.name': pba_name} for pba_name in post_breach_action_names]}},
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'data.name': post_breach_action_name}},
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{'$project': {'_id': 0,
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'machine': {'hostname': '$data.hostname',
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'ips': ['$data.ip']},
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@ -34,20 +26,15 @@ class PostBreachTechnique(AttackTechnique, metaclass=abc.ABCMeta):
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@classmethod
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def get_report_data(cls):
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"""
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:return: Technique's report data aggregated from the database
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"""
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data = {'title': cls.technique_title(), 'info': []}
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info = list(mongo.db.telemetry.aggregate(cls.get_pba_query(cls.pba_names)))
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info = list(mongo.db.telemetry.aggregate(cls.get_pba_query(cls.pba_name)))
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status = ScanStatus.UNSCANNED.value
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if info:
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successful_PBAs = mongo.db.telemetry.count({
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'$or': [{'data.name': pba_name} for pba_name in cls.pba_names],
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'data.result.1': True
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})
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status = ScanStatus.USED.value if successful_PBAs else ScanStatus.SCANNED.value
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status = []
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for pba_node in info:
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status.append(pba_node['result'][1])
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status = (ScanStatus.USED.value if any(status) else ScanStatus.SCANNED.value)\
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if status else ScanStatus.UNSCANNED.value
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data.update(cls.get_base_data_by_status(status))
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data.update({'info': info})
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