2020-03-05 13:21:59 +01:00
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#!/usr/bin/python3
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#
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# This script takes an input file containing Node names to be marked in Neo4j database as
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# owned = True. The strategy for working with neo4j and Bloodhound becomes fruitful during
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# complex Active Directory Security Review assessments or Red Teams. Imagine you've kerberoasted
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# a number of accounts, access set of workstations or even cracked userPassword hashes. Using this
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# script you can quickly instruct Neo4j to mark that principals as owned, which will enrich your
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# future use of BloodHound.
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#
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2021-10-24 23:11:42 +02:00
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# Mariusz Banach / mgeeky
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2020-03-05 13:21:59 +01:00
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#
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import sys
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import os
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import time
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try:
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from neo4j import GraphDatabase
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except ImportError:
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print('[!] "neo4j >= 1.7.0" required. Install it with: python3 -m pip install neo4j')
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#
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# ===========================================
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#
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# Specify neo4j connection details
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NEO4J_CONNECTION_DETAILS = \
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{
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'Host': '127.0.0.1', # neo4j listening address.
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'Port': 7687, # Bolt port
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'User': 'neo4j',
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'Pass': 'neo4j1'
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}
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#
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# ===========================================
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#
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#
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# Construct a MATCH ... SET owned=TRUE query of not more than this number of nodes.
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# This number impacts single query execution time. If it is more than 1000, neo4j may complain
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# about running out of heap memory space (java...).
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#
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numberOfNodesToAddPerStep = 500
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def markNodes(tx, nodes):
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query = ''
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for i in range(len(nodes)):
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n = nodes[i]
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2020-03-05 14:02:43 +01:00
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query += 'MATCH (n {name: "' + n + '"}) SET n.owned=TRUE RETURN 1'
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if i < len(nodes) - 1: query += ' UNION'
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query += '\n'
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2020-03-05 13:21:59 +01:00
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tx.run(query)
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def main(argv):
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if len(argv) != 2:
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print('''
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Takes a file containing node names on input and marks them as Owned in specified neo4j database.
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Usage: ./markOwnedNodesInNeo4j.py <nodes-file>
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''')
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return False
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nodesFile = argv[1]
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programStart = time.time()
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if not os.path.isfile(nodesFile):
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print(f'[!] Input file containing nodes does not exist: "{nodesFile}"!')
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return False
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nodes = []
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with open(nodesFile) as f: nodes = [x.strip() for x in f.readlines()]
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try:
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driver = GraphDatabase.driver(
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f"bolt://{NEO4J_CONNECTION_DETAILS['Host']}:{NEO4J_CONNECTION_DETAILS['Port']}",
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auth = (NEO4J_CONNECTION_DETAILS['User'], NEO4J_CONNECTION_DETAILS['Pass']),
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encrypted = False,
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connection_timeout = 10,
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max_retry_time = 5,
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keep_alive = True
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)
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except Exception as e:
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print(f'[-] Could not connect to the neo4j database. Reason: {str(e)}')
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return False
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print('[.] Connected to neo4j instance.')
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if len(nodes) >= 200:
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print('[*] Warning: Working with a large number of nodes may be time-consuming in large databases.')
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print('\te.g. setting 1000 nodes as owned can take up to 10 minutes easily.')
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print()
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finishEta = 0.0
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totalTime = 0.0
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runs = 0
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2020-03-13 20:42:29 +01:00
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print('[+] To be marked: {} nodes.'.format(len(nodes)))
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2020-03-05 13:21:59 +01:00
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try:
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with driver.session() as session:
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for a in range(0, len(nodes), numberOfNodesToAddPerStep):
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b = a + min(numberOfNodesToAddPerStep, len(nodes) - a)
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print(f'[.] Marking nodes ({a}..{b}) ...')
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start = time.time()
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session.write_transaction(markNodes, nodes[a:b])
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stop = time.time()
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totalTime += (stop - start)
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runs += 1
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finishEta = ((len(nodes) / numberOfNodesToAddPerStep) - runs) * (totalTime / float(runs))
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if finishEta < 0: finishEta = 0
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print(f'[+] Marked {b-a} nodes in {stop - start:.3f} seconds. Finish ETA: in {finishEta:.3f} seconds.')
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except KeyboardInterrupt:
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print('[.] User interruption.')
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driver.close()
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return False
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driver.close()
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programStop = time.time()
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print(f'\n[+] Nodes marked as owned successfully in {programStop - programStart:.3f} seconds.')
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if __name__ == '__main__':
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main(sys.argv)
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