acidvegas/eris
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eris
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Asyncronous developed mon ERIS is complete, need to refactor ingestion helpers before pushing this as the main version

This commit is contained in:
Dionysus 2024-03-05 16:47:11 -05:00
parent 31287a99d2
commit b6fb68ba3a
Signed by: acidvegas
GPG Key ID: EF4B922DB85DC9DE
4 changed files with 73 additions and 86 deletions
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1
README.md
View File

@ -86,6 +86,7 @@ Create & add a geoip pipeline and use the following in your index mappings:
## Roadmap
- Implement [async elasticsearch](https://elasticsearch-py.readthedocs.io/en/v8.12.1/async.html) into the code.
- WHOIS database ingestion scripts
- Dynamically update the batch metrics when the sniffer adds or removes nodes
___

126
async_dev/eris.py
View File

@ -2,11 +2,11 @@
# Elasticsearch Recon Ingestion Scripts (ERIS) - Developed by Acidvegas (https://git.acid.vegas/eris)
# eris.py [asyncronous developement]
import asyncio
import argparse
import logging
import os
import stat
import time
import sys
sys.dont_write_bytecode = True
@ -31,41 +31,44 @@ class ElasticIndexer:
'''
self.chunk_size = args.chunk_size
self.chunk_threads = args.chunk_threads
self.dry_run = args.dry_run
self.es = None
self.es_index = args.index
self.es_config = {
'hosts': [f'{args.host}:{args.port}'],
'verify_certs': args.self_signed,
'ssl_show_warn': args.self_signed,
'request_timeout': args.timeout,
'max_retries': args.retries,
'retry_on_timeout': True,
'sniff_on_start': True, # Is this problematic?
'sniff_on_node_failure': True,
'min_delay_between_sniffing': 60 # Add config option for this?
}
if not args.dry_run:
es_config = {
'hosts': [f'{args.host}:{args.port}'],
'verify_certs': args.self_signed,
'ssl_show_warn': args.self_signed,
'request_timeout': args.timeout,
'max_retries': args.retries,
'retry_on_timeout': True,
'sniff_on_start': True, # Is this problematic?
'sniff_on_node_failure': True,
'min_delay_between_sniffing': 60 # Add config option for this?
}
if args.api_key:
self.es_config['api_key'] = (args.api_key, '') # Verify this is correct
else:
self.es_config['basic_auth'] = (args.user, args.password)
async def initialize(self):
'''Initialize the Elasticsearch client.'''
if args.api_key:
es_config['api_key'] = (args.key, '') # Verify this is correct
else:
es_config['basic_auth'] = (args.user, args.password)
# Patching the Elasticsearch client to fix a bug with sniffing (https://github.com/elastic/elasticsearch-py/issues/2005#issuecomment-1645641960)
import sniff_patch
self.es = sniff_patch.init_elasticsearch(**es_config)
# Patching the Elasticsearch client to fix a bug with sniffing (https://github.com/elastic/elasticsearch-py/issues/2005#issuecomment-1645641960)
import sniff_patch
self.es = sniff_patch.init_elasticsearch(**self.es_config)
# Remove the above and uncomment the below if the bug is fixed in the Elasticsearch client:
#self.es = AsyncElasticsearch(**es_config)
# Remove the above and uncomment the below if the bug is fixed in the Elasticsearch client:
#self.es = AsyncElasticsearch(**es_config)
async def create_index(self, map_body: dict, pipeline: str = '', replicas: int = 1, shards: int = 1, ):
async def create_index(self, map_body: dict, pipeline: str = '', replicas: int = 1, shards: int = 1):
'''
Create the Elasticsearch index with the defined mapping.
:param pipline: Name of the ingest pipeline to use for the index
:param map_body: Mapping for the index
:param pipeline: Name of the ingest pipeline to use for the index
:param replicas: Number of replicas for the index
:param shards: Number of shards for the index
'''
@ -112,7 +115,7 @@ class ElasticIndexer:
return number_of_nodes
async def async_bulk_index_data(self, file_path: str, index_name: str, data_generator: callable):
async def process_data(self, file_path: str, data_generator: callable):
'''
Index records in chunks to Elasticsearch.
@ -124,11 +127,11 @@ class ElasticIndexer:
count = 0
total = 0
async for ok, result in async_streaming_bulk(self.es, index_name=self.es_index, actions=data_generator(file_path), chunk_size=self.chunk_size):
async for ok, result in async_streaming_bulk(self.es, actions=data_generator(file_path), chunk_size=self.chunk_size):
action, result = result.popitem()
if not ok:
logging.error(f'Failed to index document ({result["_id"]}) to {index_name} from {file_path} ({result})')
logging.error(f'Failed to index document ({result["_id"]}) to {self.es_index} from {file_path} ({result})')
input('Press Enter to continue...') # Debugging (will possibly remove this since we have retries enabled)
continue
@ -139,41 +142,16 @@ class ElasticIndexer:
logging.info(f'Successfully indexed {self.chunk_size:,} ({total:,} processed) records to {self.es_index} from {file_path}')
count = 0
logging.info(f'Finished indexing {self.total:,} records to {self.es_index} from {file_path}')
logging.info(f'Finished indexing {total:,} records to {self.es_index} from {file_path}')
async def process_file(self, file_path: str, ingest_function: callable):
'''
Read and index records in batches to Elasticsearch.
:param file_path: Path to the file
:param batch_size: Number of records to index per batch
:param ingest_function: Function to process the file
'''
count = 0
async for processed in ingest_function(file_path):
if not processed:
break
if self.dry_run:
print(processed)
continue
count += 1
yield {'_index': self.es_index, '_source': processed}
def main():
async def main():
'''Main function when running this script directly.'''
parser = argparse.ArgumentParser(description='Index data into Elasticsearch.')
# General arguments
parser.add_argument('input_path', help='Path to the input file or directory') # Required
parser.add_argument('--dry-run', action='store_true', help='Dry run (do not index records to Elasticsearch)')
parser.add_argument('--watch', action='store_true', help='Create or watch a FIFO for real-time indexing')
# Elasticsearch arguments
@ -192,7 +170,6 @@ def main():
# Performance arguments
parser.add_argument('--chunk-size', type=int, default=50000, help='Number of records to index in a chunk')
parser.add_argument('--chunk-threads', type=int, default=3, help='Number of threads to use when indexing in chunks')
parser.add_argument('--retries', type=int, default=60, help='Number of times to retry indexing a chunk before failing')
parser.add_argument('--timeout', type=int, default=30, help='Number of seconds to wait before retrying a chunk')
@ -214,6 +191,7 @@ def main():
raise FileNotFoundError(f'Input path {args.input_path} does not exist or is not a file or directory')
edx = ElasticIndexer(args)
await edx.initialize() # Initialize the Elasticsearch client asyncronously
if args.cert:
from ingestors import ingest_certs as ingestor
@ -225,32 +203,28 @@ def main():
from ingestors import ingest_massdns as ingestor
elif args.zone:
from ingestors import ingest_zone as ingestor
batch_size = 0
if not args.dry_run:
print(edx.get_cluster_health())
health = await edx.get_cluster_health()
print(health)
time.sleep(3) # Delay to allow time for sniffing to complete
nodes = edx.get_cluster_size()
logging.info(f'Connected to {nodes:,} Elasticsearch node(s)')
await asyncio.sleep(5) # Delay to allow time for sniffing to complete
nodes = await edx.get_cluster_size()
logging.info(f'Connected to {nodes:,} Elasticsearch node(s)')
if not edx.es_index:
edx.es_index = ingestor.default_index
if not edx.es_index:
edx.es_index = ingestor.default_index
map_body = ingestor.construct_map()
edx.create_index(map_body, args.pipeline, args.replicas, args.shards)
batch_size = int(nodes * (args.chunk_size * args.chunk_threads))
map_body = ingestor.construct_map()
await edx.create_index(map_body, args.pipeline, args.replicas, args.shards)
if os.path.isfile(args.input_path):
logging.info(f'Processing file: {args.input_path}')
edx.process_file(args.input_path, batch_size, ingestor.process_file)
await edx.process_data(args.input_path, ingestor.process_data)
elif stat.S_ISFIFO(os.stat(args.input_path).st_mode):
logging.info(f'Watching FIFO: {args.input_path}')
edx.process_file(args.input_path, batch_size, ingestor.process_file)
await edx.process_data(args.input_path, ingestor.process_data)
elif os.path.isdir(args.input_path):
count = 1
@ -260,7 +234,7 @@ def main():
file_path = os.path.join(args.input_path, file)
if os.path.isfile(file_path):
logging.info(f'[{count:,}/{total:,}] Processing file: {file_path}')
edx.process_file(file_path, batch_size, ingestor.process_file)
await edx.process_data(file_path, ingestor.process_data)
count += 1
else:
logging.warning(f'[{count:,}/{total:,}] Skipping non-file: {file_path}')
@ -268,4 +242,4 @@ def main():
if __name__ == '__main__':
main()
asyncio.run(main())

9
async_dev/ingestors/ingest_certs.py
View File

@ -91,8 +91,12 @@ def construct_map() -> dict:
return mapping
async def process():
'''Read and process Certsream records live from the Websocket stream.'''
async def process_data(file_path: str = None):
'''
Read and process Certsream records live from the Websocket stream.
:param file_path: Path to the Certstream log file (unused, placeholder for consistency with other ingestors)
'''
while True:
try:
@ -105,6 +109,7 @@ async def process():
record = json.loads(line)
except json.decoder.JSONDecodeError:
logging.error(f'Failed to parse JSON record from Certstream! ({line})')
input('Press Enter to continue...') # Pause the script to allow the user to read the error message
continue
yield record

23
async_dev/ingestors/ingest_masscan_async.py → async_dev/ingestors/ingest_masscan.py
View File

@ -59,7 +59,7 @@ def construct_map() -> dict:
return mapping
async def process_file(file_path: str):
async def process_data(file_path: str):
'''
Read and process Masscan records from the log file.
@ -79,22 +79,29 @@ async def process_file(file_path: str):
try:
record = json.loads(line)
except json.decoder.JSONDecodeError:
# In rare cases, the JSON record may be incomplete or malformed:
# { "ip": "51.161.12.223", "timestamp": "1707628302", "ports": [ {"port": 22, "proto": "tcp", "service": {"name": "ssh", "banner":
# { "ip": "83.66.211.246", "timestamp": "1706557002"
logging.error(f'Failed to parse JSON record! ({line})')
input('Press Enter to continue...') # Debugging
input('Press Enter to continue...') # Pause for review & debugging (Will remove pausing in production, still investigating the cause of this issue.)
continue
if len(record['ports']) > 1:
logging.warning(f'Multiple ports found for record! ({record})')
input('Press Enter to continue...') # Pause for review (Will remove pausing in production, still investigating if you ever seen more than one port in a record.)
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']))),
'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 (service_name := port_info['service']['name']) not in ('unknown',''):
struct['service'] = service_name
if 'banner' in port_info['service']:
banner = ' '.join(port_info['service']['banner'].split()) # Remove extra whitespace