230 lines
9.5 KiB
Python
230 lines
9.5 KiB
Python
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#!/usr/bin/env python
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# Elasticsearch Recon Ingestion Scripts (ERIS) - Developed by Acidvegas (https://git.acid.vegas/eris)
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# Masscan Log File Ingestion:
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#
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# This script takes JSON formatted masscan logs with banners and indexes them into Elasticsearch.
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#
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# Saving my "typical" masscan command here for reference to myself:
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# masscan 0.0.0.0/0 -p80,443 --banners --open-only --rate 50000 --shard 1/10 --excludefile exclude.conf -oJ output.json --interactive
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import argparse
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import json
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import logging
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import os
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import re
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import time
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try:
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from elasticsearch import Elasticsearch, helpers
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except ImportError:
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raise ImportError('Missing required \'elasticsearch\' library. (pip install elasticsearch)')
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# Setting up logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', datefmt='%m/%d %I:%M:%S')
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class ElasticIndexer:
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def __init__(self, es_host: str, es_port: str, es_user: str, es_password: str, es_api_key: str, es_index: str, dry_run: bool = False, self_signed: bool = False):
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'''
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Initialize the Elastic Search indexer.
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:param es_host: Elasticsearch host
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:param es_port: Elasticsearch port
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:param es_user: Elasticsearch username
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:param es_password: Elasticsearch password
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:param es_api_key: Elasticsearch API Key
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:param es_index: Elasticsearch index name
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:param dry_run: If True, do not initialize Elasticsearch client
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:param self_signed: If True, do not verify SSL certificates
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'''
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self.dry_run = dry_run
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self.es = None
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self.es_index = es_index
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if not dry_run:
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if es_api_key:
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self.es = Elasticsearch([f'{es_host}:{es_port}'], headers={'Authorization': f'ApiKey {es_api_key}'}, verify_certs=self_signed, ssl_show_warn=self_signed)
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else:
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self.es = Elasticsearch([f'{es_host}:{es_port}'], basic_auth=(es_user, es_password), verify_certs=self_signed, ssl_show_warn=self_signed)
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def create_index(self, shards: int = 1, replicas: int = 1):
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'''Create the Elasticsearch index with the defined mapping.'''
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mapping = {
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'settings': {
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'number_of_shards': shards,
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'number_of_replicas': replicas
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},
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'mappings': {
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'properties': {
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'ip': { 'type': 'ip' },
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'port': { 'type': 'integer' },
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'proto': { 'type': 'keyword' },
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'service': { 'type': 'keyword' },
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'banner': { 'type': 'text', 'fields': { 'keyword': { 'type': 'keyword', 'ignore_above': 256 } } },
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'ref_id': { 'type': 'keyword' },
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'seen': { 'type': 'date' }
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}
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}
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}
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if not self.es.indices.exists(index=self.es_index):
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response = self.es.indices.create(index=self.es_index, body=mapping)
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if response.get('acknowledged') and response.get('shards_acknowledged'):
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logging.info(f'Index \'{self.es_index}\' successfully created.')
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else:
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raise Exception(f'Failed to create index. ({response})')
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else:
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logging.warning(f'Index \'{self.es_index}\' already exists.')
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def process_file(self, file_path: str, batch_size: int):
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'''
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Read and index Masscan records in batches to Elasticsearch, handling large volumes efficiently.
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:param file_path: Path to the Masscan log file
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:param batch_size: Number of records to process before indexing
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Example record:
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{
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"ip": "43.134.51.142",
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"timestamp": "1705255468", # Convert to ZULU BABY
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"ports": [ # Typically only one port per record, but we will create a record for each port opened
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{
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"port": 22,
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"proto": "tcp",
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"service": { # This field is optional
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"name": "ssh",
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"banner": "SSH-2.0-OpenSSH_8.9p1 Ubuntu-3ubuntu0.4"
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}
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}
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]
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}
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Will be indexed as:
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{
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"ip": "43.134.51.142",
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"port": 22,
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"proto": "tcp",
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"service": "ssh", # Optional: not every record will have a service name ("unknown" is ignored)
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"banner": "SSH-2.0-OpenSSH_8.9p1 Ubuntu-3ubuntu0.4", # Optional: not every record will have a banner
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"seen": "2021-10-08T02:04:28Z",
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"ref_id": "?sKfOvsC4M4a2W8PaC4zF?" # This is optional and will only be present if the banner contains a reference ID (TCP RST Payload, Might be useful?)
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}
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'''
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records = []
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with open(file_path, 'r') as file:
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for line in file:
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line = line.strip()
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if not line or not line.startswith('{'):
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continue
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record = json.loads(line)
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for port_info in record['ports']:
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struct = {
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'ip': record['ip'],
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'port': port_info['port'],
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'proto': port_info['proto'],
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'seen': time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime(int(record['timestamp']))),
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}
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if 'service' in port_info:
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if 'name' in port_info['service']:
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if port_info['service']['name'] != 'unknown':
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struct['service'] = port_info['service']['name']
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if 'banner' in port_info['service']:
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banner = port_info['service']['banner']
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match = re.search(r'\(Ref\.Id: (.*?)\)', banner)
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if match:
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struct['ref_id'] = match.group(1)
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else:
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struct['banner'] = banner
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if self.dry_run:
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print(struct)
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else:
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struct = {'_index': self.es_index, '_source': struct}
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records.append(struct)
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if len(records) >= batch_size:
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success, _ = helpers.bulk(self.es, records)
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logging.info(f'Successfully indexed {success} records to {self.es_index}')
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records = []
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if records:
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success, _ = helpers.bulk(self.es, records)
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logging.info(f'Successfully indexed {success} records to {self.es_index}')
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def main():
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'''Main function when running this script directly.'''
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parser = argparse.ArgumentParser(description='Index data into Elasticsearch.')
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parser.add_argument('input_path', help='Path to the input file or directory')
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# General arguments
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parser.add_argument('--dry-run', action='store_true', help='Dry run (do not index records to Elasticsearch)')
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parser.add_argument('--batch_size', type=int, default=50000, help='Number of records to index in a batch')
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# Elasticsearch arguments
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parser.add_argument('--host', default='localhost', help='Elasticsearch host')
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parser.add_argument('--port', type=int, default=9200, help='Elasticsearch port')
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parser.add_argument('--user', default='elastic', help='Elasticsearch username')
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parser.add_argument('--password', default=os.getenv('ES_PASSWORD'), help='Elasticsearch password (if not provided, check environment variable ES_PASSWORD)')
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parser.add_argument('--api-key', help='Elasticsearch API Key for authentication')
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parser.add_argument('--self-signed', action='store_false', help='Elasticsearch is using self-signed certificates')
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# Elasticsearch indexing arguments
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parser.add_argument('--index', default='zone-files', help='Elasticsearch index name')
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parser.add_argument('--shards', type=int, default=1, help='Number of shards for the index')
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parser.add_argument('--replicas', type=int, default=1, help='Number of replicas for the index')
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args = parser.parse_args()
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if not os.path.exists(args.input_path):
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raise FileNotFoundError(f'Input file {args.input_path} does not exist')
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if not args.dry_run:
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if args.batch_size < 1:
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raise ValueError('Batch size must be greater than 0')
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if not args.host:
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raise ValueError('Missing required Elasticsearch argument: host')
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if not args.api_key and (not args.user or not args.password):
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raise ValueError('Missing required Elasticsearch argument: either user and password or apikey')
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edx = ElasticIndexer(args.host, args.port, args.user, args.password, args.api_key, args.index, args.dry_run, args.self_signed)
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edx.create_index(args.shards, args.replicas) # Create the index if it does not exist
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if os.path.isfile(args.input_path):
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logging.info(f'Processing file: {args.input_path}')
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edx.process_file(args.input_path, args.batch_size)
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elif os.path.isdir(args.input_path):
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logging.info(f'Processing files in directory: {args.input_path}')
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for file in sorted(os.listdir(args.input_path)):
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file_path = os.path.join(args.input_path, file)
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if os.path.isfile(file_path):
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logging.info(f'Processing file: {file_path}')
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edx.process_file(file_path, args.batch_size)
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else:
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raise ValueError(f'Input path {args.input_path} is not a file or directory')
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if __name__ == '__main__':
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main()
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