eris/ingestors/ingest_masscan.py
2024-01-20 02:04:50 -05:00

230 lines
9.5 KiB
Python

#!/usr/bin/env python
# Elasticsearch Recon Ingestion Scripts (ERIS) - Developed by Acidvegas (https://git.acid.vegas/eris)
# Masscan Log File Ingestion:
#
# This script takes JSON formatted masscan logs with banners and indexes them into Elasticsearch.
#
# Saving my "typical" masscan command here for reference to myself:
# masscan 0.0.0.0/0 -p80,443 --banners --open-only --rate 50000 --shard 1/10 --excludefile exclude.conf -oJ output.json --interactive
import argparse
import json
import logging
import os
import re
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 Masscan records in batches to Elasticsearch, handling large volumes efficiently.
:param file_path: Path to the Masscan log file
:param batch_size: Number of records to process before indexing
Example record:
{
"ip": "43.134.51.142",
"timestamp": "1705255468", # Convert to ZULU BABY
"ports": [ # Typically only one port per record, but we will create a record for each port opened
{
"port": 22,
"proto": "tcp",
"service": { # This field is optional
"name": "ssh",
"banner": "SSH-2.0-OpenSSH_8.9p1 Ubuntu-3ubuntu0.4"
}
}
]
}
Will be indexed as:
{
"ip": "43.134.51.142",
"port": 22,
"proto": "tcp",
"service": "ssh", # Optional: not every record will have a service name ("unknown" is ignored)
"banner": "SSH-2.0-OpenSSH_8.9p1 Ubuntu-3ubuntu0.4", # Optional: not every record will have a banner
"seen": "2021-10-08T02:04:28Z",
"ref_id": "?sKfOvsC4M4a2W8PaC4zF?" # This is optional and will only be present if the banner contains a reference ID (TCP RST Payload, Might be useful?)
}
'''
records = []
with open(file_path, 'r') as file:
for line in file:
line = line.strip()
if not line or not line.startswith('{'):
continue
record = json.loads(line)
for port_info in record['ports']:
struct = {
'ip': record['ip'],
'port': port_info['port'],
'proto': port_info['proto'],
'seen': time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime(int(record['timestamp']))),
}
if 'service' in port_info:
if 'name' in port_info['service']:
if port_info['service']['name'] != 'unknown':
struct['service'] = port_info['service']['name']
if 'banner' in port_info['service']:
banner = port_info['service']['banner']
match = re.search(r'\(Ref\.Id: (.*?)\)', banner)
if match:
struct['ref_id'] = match.group(1)
else:
struct['banner'] = banner
if self.dry_run:
print(struct)
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 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')
edx = ElasticIndexer(args.host, args.port, args.user, args.password, args.api_key, args.index, args.dry_run, args.self_signed)
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()