264 lines
11 KiB
Python
264 lines
11 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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# DNS Zone File Ingestion:
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#
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# This script will read a DNS zone file and index the records to Elasticsearch.
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#
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# Zone files must be valid and follow the RFC 1035 standard for proper indexing:
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# - https://datatracker.ietf.org/doc/html/rfc1035
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#
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# Most of my zones come from CZDS but AXFR outputs can be used as well.
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# Anomaly detection is in place to alert the user of any unexpected records.
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import argparse
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import logging
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import os
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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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# Record types to index
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record_types = ('a','aaaa','caa','cdnskey','cds','cname','dnskey','ds','mx','ns','nsec','nsec3','nsec3param','ptr','rrsig','sshfp','soa','srv','txt','type65534')
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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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'domain': { 'type': 'text', 'fields': { 'keyword': { 'type': 'keyword', 'ignore_above': 256 } } },
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'records': { 'properties': {} },
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'seen': {'type': 'date'}
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}
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}
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}
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# Add record types to mapping dynamically to not clutter the code
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for item in record_types:
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if item in ('a','aaaa'):
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mapping['mappings']['properties']['records']['properties'][item] = {
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'properties': {
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'data': { 'type': 'ip' },
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'ttl': { 'type': 'integer' }
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}
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}
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else:
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mapping['mappings']['properties']['records']['properties'][item] = {
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'properties': {
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'data': { 'type': 'text', 'fields': { 'keyword': { 'type': 'keyword', 'ignore_above': 256 } } },
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'ttl': { 'type': 'integer' }
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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 DNS records in batches to Elasticsearch, handling large volumes efficiently.
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:param file_path: Path to the DNS zone 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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0so9l9nrl425q3tf7dkv1nmv2r3is6vm.vegas. 3600 in nsec3 1 1 100 332539EE7F95C32A 10MHUKG4FHIAVEFDOTF6NKU5KFCB2J3A NS DS RRSIG
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0so9l9nrl425q3tf7dkv1nmv2r3is6vm.vegas. 3600 in rrsig NSEC3 8 2 3600 20240122151947 20240101141947 4125 vegas. hzIvQrZIxBSwRWyiHkb5M2W0R3ikNehv884nilkvTt9DaJSDzDUrCtqwQb3jh6+BesByBqfMQK+L2n9c//ZSmD5/iPqxmTPCuYIB9uBV2qSNSNXxCY7uUt5w7hKUS68SLwOSjaQ8GRME9WQJhY6gck0f8TT24enjXXRnQC8QitY=
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1-800-flowers.vegas. 3600 in ns dns1.cscdns.net.
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1-800-flowers.vegas. 3600 in ns dns2.cscdns.net.
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100.vegas. 3600 in ns ns51.domaincontrol.com.
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100.vegas. 3600 in ns ns52.domaincontrol.com.
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1001.vegas. 3600 in ns ns11.waterrockdigital.com.
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1001.vegas. 3600 in ns ns12.waterrockdigital.com.
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Will be indexed as:
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{
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"domain": "1001.vegas",
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"records": {
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"ns": [
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{"ttl": 3600, "data": "ns11.waterrockdigital.com"},
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{"ttl": 3600, "data": "ns12.waterrockdigital.com"}
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]
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},
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"seen": "2021-09-01T00:00:00Z" # Zulu time added upon indexing
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}
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'''
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records = []
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domain_records = {}
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last_domain = None
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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 line.startswith(';'):
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continue
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parts = line.split()
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if len(parts) < 5:
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raise ValueError(f'Invalid line: {line}')
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domain, ttl, record_class, record_type, data = parts[0].rstrip('.').lower(), parts[1], parts[2].lower(), parts[3].lower(), ' '.join(parts[4:])
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if not ttl.isdigit():
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raise ValueError(f'Invalid TTL: {ttl} with line: {line}')
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ttl = int(ttl)
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if record_class != 'in':
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raise ValueError(f'Unsupported record class: {record_class} with line: {line}') # Anomaly (Doubtful any CHAOS/HESIOD records will be found)
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# We do not want to collide with our current mapping (Again, this is an anomaly)
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if record_type not in record_types:
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raise ValueError(f'Unsupported record type: {record_type} with line: {line}')
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# Little tidying up for specific record types
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if record_type == 'nsec':
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data = ' '.join([data.split()[0].rstrip('.'), *data.split()[1:]])
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elif record_type == 'soa':
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data = ' '.join([part.rstrip('.') if '.' in part else part for part in data.split()])
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elif data.endswith('.'):
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data = data.rstrip('.')
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if domain != last_domain:
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if last_domain:
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source = {'domain': domain, 'records': domain_records[last_domain], 'seen': time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime())}
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del domain_records[last_domain]
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if self.dry_run:
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print(source)
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else:
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struct = {'_index': self.es_index, '_source': source}
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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} from {file_path}')
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records = []
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last_domain = domain
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domain_records[domain] = {}
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if record_type not in domain_records[domain]:
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domain_records[domain][record_type] = []
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domain_records[domain][record_type].append({'ttl': ttl, 'data': data})
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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} from {file_path}')
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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 connection 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=0, help='Number of shards for the index') # This depends on your cluster configuration
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parser.add_argument('--replicas', type=int, default=0, help='Number of replicas for the index') # This depends on your cluster configuration
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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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