#!/usr/bin/env python # Elasticsearch Recon Ingestion Scripts (ERIS) - Developed by Acidvegas (https://git.acid.vegas/eris) # Massdns Log File Ingestion: # # This script takes JSON formatted massdns logs and indexes them into Elasticsearch. # # Saving my "typical" massdns command here for reference to myself: # python $HOME/massdns/scripts/ptr.py | massdns -r $HOME/massdns/nameservers.txt -t PTR --filter NOERROR -o J -w $HOME/massdns/ptr.json import argparse import json import logging import os import time try: from elasticsearch import Elasticsearch, helpers except ImportError: raise ImportError('Missing required \'elasticsearch\' library. (pip install elasticsearch)') # Setting up logging logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', datefmt='%m/%d %I:%M:%S') class ElasticIndexer: 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): ''' Initialize the Elastic Search indexer. :param es_host: Elasticsearch host :param es_port: Elasticsearch port :param es_user: Elasticsearch username :param es_password: Elasticsearch password :param es_api_key: Elasticsearch API Key :param es_index: Elasticsearch index name :param dry_run: If True, do not initialize Elasticsearch client :param self_signed: If True, do not verify SSL certificates ''' self.dry_run = dry_run self.es = None self.es_index = es_index if not dry_run: if es_api_key: self.es = Elasticsearch([f'{es_host}:{es_port}'], headers={'Authorization': f'ApiKey {es_api_key}'}, verify_certs=self_signed, ssl_show_warn=self_signed) else: self.es = Elasticsearch([f'{es_host}:{es_port}'], basic_auth=(es_user, es_password), verify_certs=self_signed, ssl_show_warn=self_signed) def create_index(self, shards: int = 1, replicas: int = 1): '''Create the Elasticsearch index with the defined mapping.''' mapping = { 'settings': { 'number_of_shards': shards, 'number_of_replicas': replicas }, 'mappings': { 'properties': { 'ip': { 'type': 'ip' }, 'port': { 'type': 'integer' }, 'proto': { 'type': 'keyword' }, 'service': { 'type': 'keyword' }, 'banner': { 'type': 'text', 'fields': { 'keyword': { 'type': 'keyword', 'ignore_above': 256 } } }, 'ref_id': { 'type': 'keyword' }, 'seen': { 'type': 'date' } } } } if not self.es.indices.exists(index=self.es_index): response = self.es.indices.create(index=self.es_index, body=mapping) if response.get('acknowledged') and response.get('shards_acknowledged'): logging.info(f'Index \'{self.es_index}\' successfully created.') else: raise Exception(f'Failed to create index. ({response})') else: logging.warning(f'Index \'{self.es_index}\' already exists.') def process_file(self, file_path: str, batch_size: int): ''' Read and index PTR records in batches to Elasticsearch, handling large volumes efficiently. :param file_path: Path to the PTR log file :param batch_size: Number of records to process before indexing Example PTR record: { "name":"0.0.50.73.in-addr.arpa.", "type":"PTR", "class":"IN", "status":"NOERROR", "rx_ts":1704595370817617348, "data": { "answers": [ {"ttl":3600,"type":"PTR","class":"IN","name":"0.0.50.73.in-addr.arpa.","data":"c-73-50-0-0.hsd1.il.comcast.net."} ], "authorities": [ {"ttl":86400,"type":"NS","class":"IN","name":"73.in-addr.arpa.","data":"dns102.comcast.net."}, {"ttl":86400,"type":"NS","class":"IN","name":"73.in-addr.arpa.","data":"dns103.comcast.net."}, {"ttl":86400,"type":"NS","class":"IN","name":"73.in-addr.arpa.","data":"dns105.comcast.net."}, {"ttl":86400,"type":"NS","class":"IN","name":"73.in-addr.arpa.","data":"dns101.comcast.net."}, {"ttl":86400,"type":"NS","class":"IN","name":"73.in-addr.arpa.","data":"dns104.comcast.net."} ], "additionals":[ {"ttl":105542,"type":"A","class":"IN","name":"dns101.comcast.net.","data":"69.252.250.103"}, {"ttl":105542,"type":"A","class":"IN","name":"dns102.comcast.net.","data":"68.87.85.132"}, {"ttl":105542,"type":"AAAA","class":"IN","name":"dns104.comcast.net.","data":"2001:558:100a:5:68:87:68:244"}, {"ttl":105542,"type":"AAAA","class":"IN","name":"dns105.comcast.net.","data":"2001:558:100e:5:68:87:72:244"} ] }, "flags": ["rd","ra"], "resolver":"103.144.64.173:53", "proto":"UDP" } ''' records = [] with open(file_path, 'r') as file: for line in file: line = line.strip() if not line: continue record = json.loads(line.strip()) # Should we keep CNAME records? Can an IP address have a CNAME? if record['type'] != 'PTR': logging.error(record) raise ValueError(f'Unsupported record type: {record["type"]}') if record['class'] != 'IN': logging.error(record) raise ValueError(f'Unsupported record class: {record["class"]}') if record['status'] != 'NOERROR': logging.warning(f'Skipping bad record: {record}') continue record['ip'] = '.'.join(record['name'].replace('.in-addr.arpa', '').split('.')[::-1]) record['name'] = record['name'].rstrip('.') record['timestamp'] = time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime(record.pop('rx_ts') / 1_000_000_000)) if self.dry_run: print(record) else: struct = {'_index': self.es_index, '_source': struct} records.append(struct) if len(records) >= batch_size: success, _ = helpers.bulk(self.es, records) logging.info(f'Successfully indexed {success} records to {self.es_index}') records = [] if records: success, _ = helpers.bulk(self.es, records) logging.info(f'Successfully indexed {success} records to {self.es_index}') def main(): '''Main function when running this script directly.''' parser = argparse.ArgumentParser(description='Index data into Elasticsearch.') parser.add_argument('input_path', help='Path to the input file or directory') # General arguments parser.add_argument('--dry-run', action='store_true', help='Dry run (do not index records to Elasticsearch)') parser.add_argument('--batch_size', type=int, default=50000, help='Number of records to index in a batch') # Elasticsearch connection arguments parser.add_argument('--host', default='localhost', help='Elasticsearch host') parser.add_argument('--port', type=int, default=9200, help='Elasticsearch port') parser.add_argument('--user', default='elastic', help='Elasticsearch username') parser.add_argument('--password', default=os.getenv('ES_PASSWORD'), help='Elasticsearch password (if not provided, check environment variable ES_PASSWORD)') parser.add_argument('--api-key', help='Elasticsearch API Key for authentication') parser.add_argument('--self-signed', action='store_false', help='Elasticsearch is using self-signed certificates') # Elasticsearch indexing arguments parser.add_argument('--index', default='zone-files', help='Elasticsearch index name') parser.add_argument('--shards', type=int, default=1, help='Number of shards for the index') parser.add_argument('--replicas', type=int, default=1, help='Number of replicas for the index') args = parser.parse_args() if not os.path.exists(args.input_path): raise FileNotFoundError(f'Input file {args.input_path} does not exist') if not args.dry_run: if args.batch_size < 1: raise ValueError('Batch size must be greater than 0') if not args.host: raise ValueError('Missing required Elasticsearch argument: host') if not args.api_key and (not args.user or not args.password): raise ValueError('Missing required Elasticsearch argument: either user and password or apikey') if args.shards < 1: raise ValueError('Number of shards must be greater than 0') if args.replicas < 1: raise ValueError('Number of replicas must be greater than 0') logging.info(f'Connecting to Elasticsearch at {args.host}:{args.port}...') edx = ElasticIndexer(args.host, args.port, args.user, args.password, args.api_key, args.index, args.dry_run, args.self_signed) if not args.dry_run: edx.create_index(args.shards, args.replicas) # Create the index if it does not exist if os.path.isfile(args.input_path): logging.info(f'Processing file: {args.input_path}') edx.process_file(args.input_path, args.batch_size) elif os.path.isdir(args.input_path): logging.info(f'Processing files in directory: {args.input_path}') for file in sorted(os.listdir(args.input_path)): file_path = os.path.join(args.input_path, file) if os.path.isfile(file_path): logging.info(f'Processing file: {file_path}') edx.process_file(file_path, args.batch_size) else: raise ValueError(f'Input path {args.input_path} is not a file or directory') if __name__ == '__main__': main()