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Ingestion agents are now modular, FIFO live ingestion added

This commit is contained in:
Dionysus 2024-02-02 00:11:18 -05:00
parent c105db705d
commit 1ee71868ec
Signed by: acidvegas
GPG Key ID: EF4B922DB85DC9DE
11 changed files with 947 additions and 1395 deletions
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63
README.md
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## Usage
```shell
python ingest_XXXX.py [options] <input>
python eris.py [options] <input>
```
**Note:** The `<input>` can be a file or a directory of files, depending on the ingestion script.
## Operations
This ingestion suite will use the built in node sniffer, so by connecting to a single node, you can load balance across the entire cluster.
It is good to know how much nodes you have in the cluster to determine how to fine tune the arguments for the best performance, based on your environment.
###
### Options
###### General arguments
| Argument | Description |
|-------------------|----------------------------------------------------------------|
| `input_path` | Path to the input file or directory |
| `--dry-run` | Dry run *(do not index records to Elasticsearch)* |
| `--watch` | Watch the input file for new lines and index them in real time |
| `--watch` | Create or watch a FIFO for real-time indexing |
###### Elasticsearch arguments
| Argument | Description | Default |
|-------------------|--------------------------------------------------------|----------------|
| `--host` | Elasticsearch host | `localhost` |
| `--port` | Elasticsearch port | `9200` |
| `--user` | Elasticsearch username | `elastic` |
| `--password` | Elasticsearch password | `$ES_PASSWORD` |
| `--api-key` | Elasticsearch API Key for authentication | |
| `--self-signed` | Elasticsearch connection with aself-signed certificate | |
| Argument | Description | Default |
|-------------------|--------------------------------------------------------------------------------|----------------|
| `--host` | Elasticsearch host | `localhost` |
| `--port` | Elasticsearch port | `9200` |
| `--user` | Elasticsearch username | `elastic` |
| `--password` | Elasticsearch password | `$ES_PASSWORD` |
| `--api-key` | Elasticsearch API Key for authentication *(format must be api_key:api_secret)* | `$ES_APIKEY` |
| `--self-signed` | Elasticsearch connection with a self-signed certificate | |
###### Elasticsearch indexing arguments
| Argument | Description | Default |
|-------------------|----------------------------------|---------------------|
| `--index` | Elasticsearch index name | Depends on ingestor |
| `--shards` | Number of shards for the index | `1` |
| `--replicas` | Number of replicas for the index | `1` |
| Argument | Description | Default |
|-------------------|--------------------------------------|---------------------|
| `--index` | Elasticsearch index name | Depends on ingestor |
| `--pipeline` | Use an ingest pipeline for the index | |
| `--replicas` | Number of replicas for the index | `1` |
| `--shards` | Number of shards for the index | `1` |
###### Performance arguments
| Argument | Description | Default |
|-------------------|----------------------------------------------------------|---------|
| `--batch-max` | Maximum size in MB of a batch | `10` |
| `--batch-size` | Number of records to index in a batch | `5000` |
| `--batch-threads` | Number of threads to use when indexing in batches | `2` |
| `--retries` | Number of times to retry indexing a batch before failing | `10` |
| `--timeout` | Number of seconds to wait before retrying a batch | `30` |
| `--chunk-max` | Maximum size in MB of a chunk | `10` |
| `--chunk-size` | Number of records to index in a chunk | `5000` |
| `--chunk-threads` | Number of threads to use when indexing in chunks | `2` |
| `--retries` | Number of times to retry indexing a chunk before failing | `10` |
| `--timeout` | Number of seconds to wait before retrying a chunk | `30` |
###### Ingestion arguments
| Argument | Description |
|-------------------|------------------------|
| `--httpx` | Index HTTPX records |
| `--masscan` | Index Masscan records |
| `--massdns` | Index massdns records |
| `--zone` | Index zone DNS records |
Using `--batch-threads` as 4 and `--batch-size` as 10000 with 3 nodes would process 120,000 records before indexing 40,000 per node. Take these kind of metrics int account when consider how much records you want to process at once and the memory limitations of your environment, aswell as the networking constraint it may have ono your node(s), depending on the size of your cluster.
## Operations
This ingestion suite will use the built in node sniffer, so by connecting to a single node, you can load balance across the entire cluster.
It is good to know how much nodes you have in the cluster to determine how to fine tune the arguments for the best performance, based on your environment.
## Changelog
- The `--watch` feature now uses a FIFO to do live ingestion.
- Isolated eris.py into it's own file and seperated the ingestion agents into their own modules.
___
###### Mirrors for this repository: [acid.vegas](https://git.acid.vegas/eris) • [SuperNETs](https://git.supernets.org/acidvegas/eris) • [GitHub](https://github.com/acidvegas/eris) • [GitLab](https://gitlab.com/acidvegas/eris) • [Codeberg](https://codeberg.org/acidvegas/eris)

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#!/usr/bin/env python
# Elasticsearch Recon Ingestion Scripts (ERIS) - Developed by Acidvegas (https://git.acid.vegas/eris)
import argparse
import logging
import os
import stat
import time
import sys
sys.dont_write_bytecode = True
try:
from elasticsearch import Elasticsearch, helpers
from elasticsearch.exceptions import NotFoundError
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, args: argparse.Namespace):
'''
Initialize the Elastic Search indexer.
:param args: Parsed arguments from argparse
'''
self.chunk_max = args.chunk_max * 1024 * 1024 # MB
self.chunk_size = args.chunk_size
self.chunk_threads = args.chunk_threads
self.dry_run = args.dry_run
self.es_index = args.index
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': False,
'sniff_on_node_failure': True,
'min_delay_between_sniffing': 60 # Add config option for this?
}
if args.api_key:
es_config['headers'] = {'Authorization': f'ApiKey {args.api_key}'}
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)
# Remove the above and uncomment the below if the bug is fixed in the Elasticsearch client:
#self.es = Elasticsearch(**es_config)
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 replicas: Number of replicas for the index
:param shards: Number of shards for the index
'''
if self.es.indices.exists(index=self.es_index):
logging.info(f'Index \'{self.es_index}\' already exists.')
return
mapping = map_body
mapping['settings'] = {
'number_of_shards': shards,
'number_of_replicas': replicas
}
if pipeline:
try:
self.es.ingest.get_pipeline(id=pipeline)
logging.info(f'Using ingest pipeline \'{pipeline}\' for index \'{self.es_index}\'')
mapping['settings']['index.default_pipeline'] = pipeline
except NotFoundError:
raise ValueError(f'Ingest pipeline \'{pipeline}\' does not exist.')
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})')
def get_cluster_health(self) -> dict:
'''Get the health of the Elasticsearch cluster.'''
return self.es.cluster.health()
def get_cluster_size(self) -> int:
'''Get the number of nodes in the Elasticsearch cluster.'''
cluster_stats = self.es.cluster.stats()
number_of_nodes = cluster_stats['nodes']['count']['total']
return number_of_nodes
def bulk_index(self, documents: list, file_path: str, count: int):
'''
Index a batch of documents to Elasticsearch.
:param documents: List of documents to index
:param file_path: Path to the file being indexed
:param count: Total number of records processed
'''
remaining_documents = documents
parallel_bulk_config = {
'client': self.es,
'chunk_size': self.chunk_size,
'max_chunk_bytes': self.chunk_max,
'thread_count': self.chunk_threads,
'queue_size': 2 # Add config option for this?
}
while remaining_documents:
failed_documents = []
try:
for success, response in helpers.parallel_bulk(actions=remaining_documents, **parallel_bulk_config):
if not success:
failed_documents.append(response)
if not failed_documents:
ingested = parallel_bulk_config['chunk_size'] * parallel_bulk_config['thread_count']
logging.info(f'Successfully indexed {ingested:,} ({count:,} processed) records to {self.es_index} from {file_path}')
break
else:
logging.warning(f'Failed to index {len(failed_documents):,} failed documents! Retrying...')
remaining_documents = failed_documents
except Exception as e:
logging.error(f'Failed to index documents! ({e})')
time.sleep(30) # Should we add a config option for this?
def process_file(self, file_path: str, batch_size: int, 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
records = []
for processed in ingest_function(file_path):
if not processed:
break
if self.dry_run:
print(processed)
continue
struct = {'_index': self.es_index, '_source': processed}
records.append(struct)
count += 1
if len(records) >= batch_size:
self.bulk_index(records, file_path, count)
records = []
if records:
self.bulk_index(records, file_path, count)
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
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', default=os.getenv('ES_APIKEY'), help='Elasticsearch API Key for authentication (if not provided, check environment variable ES_APIKEY)')
parser.add_argument('--self-signed', action='store_false', help='Elasticsearch is using self-signed certificates')
# Elasticsearch indexing arguments
parser.add_argument('--index', help='Elasticsearch index name')
parser.add_argument('--pipeline', help='Use an ingest pipeline for the index')
parser.add_argument('--replicas', type=int, default=1, help='Number of replicas for the index')
parser.add_argument('--shards', type=int, default=1, help='Number of shards for the index')
# Performance arguments
parser.add_argument('--chunk-max', type=int, default=10, help='Maximum size in MB of a chunk')
parser.add_argument('--chunk-size', type=int, default=5000, help='Number of records to index in a chunk')
parser.add_argument('--chunk-threads', type=int, default=2, help='Number of threads to use when indexing in chunks')
parser.add_argument('--retries', type=int, default=10, 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')
# Ingestion arguments
parser.add_argument('--httpx', action='store_true', help='Index Httpx records')
parser.add_argument('--masscan', action='store_true', help='Index Masscan records')
parser.add_argument('--massdns', action='store_true', help='Index Massdns records')
parser.add_argument('--zone', action='store_true', help='Index Zone records')
args = parser.parse_args()
if args.watch:
if not os.path.exists(args.input_path):
os.mkfifo(args.input_path)
elif os.path.exists(args.input_path) and stat.S_ISFIFO(os.stat(args.input_path).st_mode):
raise ValueError(f'Path {args.input_path} is not a FIFO')
elif not os.path.isdir(args.input_path) and not os.path.isfile(args.input_path):
raise FileNotFoundError(f'Input path {args.input_path} does not exist or is not a file or directory')
edx = ElasticIndexer(args)
if args.httpx:
from ingestors import ingest_httpx as ingestor
elif args.masscan:
from ingestors import ingest_masscan as ingestor
elif args.massdns:
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())
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)')
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))
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)
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)
elif os.path.isdir(args.input_path):
count = 1
total = len(os.listdir(args.input_path))
logging.info(f'Processing {total:,} 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'[{count:,}/{total:,}] Processing file: {file_path}')
edx.process_file(file_path, batch_size, ingestor.process_file)
count += 1
else:
logging.warning(f'[{count:,}/{total:,}] Skipping non-file: {file_path}')
if __name__ == '__main__':
main()

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#!/usr/bin/env python
# estop - developed by acidvegas (https://git.acid.vegas/eris)
'''
Little script to show some basic information about an Elasticsearch cluster.
'''
import argparse
import os
try:
from elasticsearch import Elasticsearch
except ImportError:
raise ImportError('Missing required \'elasticsearch\' library. (pip install elasticsearch)')
def bytes_to_human_readable(num_bytes):
'''Convert bytes to a human-readable format.'''
for unit in ['bytes', 'kb', 'mb', 'gb', 'tb', 'pb', 'eb', 'zb']:
if abs(num_bytes) < 1024.0:
return f"{num_bytes:3.1f}{unit}"
num_bytes /= 1024.0
return f"{num_bytes:.1f}YB"
def main():
'''Main function when running this script directly.'''
parser = argparse.ArgumentParser(description='Index data into Elasticsearch.')
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')
args = parser.parse_args()
es_config = {
'hosts': [f'{args.host}:{args.port}'],
'verify_certs': args.self_signed,
'ssl_show_warn': args.self_signed,
'basic_auth': (args.user, args.password)
}
es = Elasticsearch(**es_config)
stats = es.cluster.stats()
name = stats['cluster_name']
status = stats['status']
indices = {
'total': stats['indices']['count'],
'shards': stats['indices']['shards']['total'],
'docs': stats['indices']['docs']['count'],
'size': bytes_to_human_readable(stats['indices']['store']['size_in_bytes'])
}
nodes = {
'total': stats['_nodes']['total'],
'successful': stats['_nodes']['successful'],
'failed': stats['_nodes']['failed']
}
if status == 'green':
print(f'Cluster {name} (\033[92m{status}\033[0m)')
elif status == 'yellow':
print(f'Cluster {name} (\033[93m{status}\033[0m)')
elif status == 'red':
print(f'Cluster {name} (\033[91m{status}\033[0m)')
print('')
print(f'Nodes {nodes["total"]} Total, {nodes["successful"]} Successful, {nodes["failed"]} Failed')
nodes_info = es.nodes.info()
# Loop through each node and print details
for node_id, node_info in nodes_info['nodes'].items():
node_name = node_info['name']
transport_address = node_info['transport_address']
#node_stats = es.nodes.stats(node_id=node_id)
version = node_info['version']
memory = bytes_to_human_readable(int(node_info['settings']['node']['attr']['ml']['machine_memory']))
print(f" {node_name.ljust(7)} | Host: {transport_address.rjust(21)} | Version: {version.ljust(7)} | Processors: {node_info['os']['available_processors']} | Memory: {memory}")
indices_stats = es.cat.indices(format="json")
#print(' |')
print('')
print(f'Indices {indices["total"]:,} Total {indices["shards"]:,}, Shards')
for index in indices_stats:
index_name = index['index']
document_count = f'{int(index['docs.count']):,}'
store_size = index['store.size']
number_of_shards = int(index['pri']) # primary shards
number_of_replicas = int(index['rep']) # replicas
if index_name.startswith('.') or document_count == '0':
continue
print(f" {index_name.ljust(15)} | Documents: {document_count.rjust(15)} | {store_size.rjust(7)} [Shards: {number_of_shards:,}, Replicas: {number_of_replicas:,}]")
dox = f'{indices["docs"]:,}'
print('')
print(f'Total {dox.rjust(48)} {indices["size"].rjust(9)}')
if __name__ == '__main__':
main()

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helpers/es_index_dump Executable file
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#!/bin/sh
# ElasticSearch Index Dumper - developed by acidvegas (https://git.acid.vegas/eris)
# This script will dump the entire contents of an ElasticSearch index to a JSON file.
#
# Todo:
# - Add authentication support
# Configuration
BATCH_SIZE=10000
ES_HOST="https://elastic.change.me:9200"
ES_INDEX="juicy_booties"
SCROLL_ID=$(curl -s -XGET "$ES_HOST/$ES_INDEX/_search?scroll=1m" -H 'Content-Type: application/json' -d'{ "size": $BATCH_SIZE, "query": { "match_all": {} } }' | jq -r '._scroll_id')
count=0
while true; do
RESPONSE=$(curl -s -XGET "$ES_HOST/_search/scroll" -H 'Content-Type: application/json' -d'{"scroll": "1m", "scroll_id": "'$SCROLL_ID'"}')
HITS=$(echo $RESPONSE | jq -c '.hits.hits[]')
if [ -z "$HITS" ] || [ "$HITS" = "null" ]; then
break
fi
echo $HITS | jq -c '._source' >> $ES_INDEX.json
SCROLL_ID=$(echo $RESPONSE | jq -r '._scroll_id')
count=$(($count + $BATCH_SIZE))
echo "Dumped $BATCH_SIZE records ($count total) from $ES_INDEX on $ES_HOST"
done

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helpers/notes.md Normal file
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# Create a GeoIP ingestion pipeline
My notes for creating an ingestion pipeline for geoip usage in Kibanas maps
###### Create the ingestion pipeline
```
PUT _ingest/pipeline/geoip
{
"description" : "Add geoip info",
"processors" : [
{
"geoip" : {
"field" : "ip",
"ignore_missing": true
}
}
]
}
```
###### Update an index
```
PUT my_ip_locations
{
"mappings": {
"properties": {
"geoip": {
"properties": {
"location": { "type": "geo_point" }
}
}
}
}
}
```
or...
###### Create the index
```
PUT /masscan-data
{
"settings": {
"number_of_shards": 3,
"number_of_replicas": 1
},
"mappings": {
"properties": {
"banner": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"geoip": {
"properties": {
"city_name": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"continent_name": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"country_iso_code": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"country_name": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"location": {
"type": "geo_point"
},
"region_iso_code": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"region_name": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
},
"ip": {
"type": "ip"
},
"port": {
"type": "integer"
},
"proto": {
"type": "keyword"
},
"ref_id": {
"type": "keyword"
},
"seen": {
"type": "date"
},
"service": {
"type": "keyword"
}
}
}
}
```

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ingestors/__init__.py Normal file
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ingestors/ingest_httpx.py
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#!/usr/bin/env python
# Elasticsearch Recon Ingestion Scripts (ERIS) - Developed by Acidvegas (https://git.acid.vegas/eris)
# ingest_httpx.py
# HTTPX Log File Ingestion:
#
# This script takes JSON formatted HTTPX logs and indexes them into Elasticsearch.
#
# Saving my "typical" HTTPX command here for reference to myself:
# httpx -l zone.org.txt -t 200 -r nameservers.txt -sc -location -favicon -title -bp -td -ip -cname -mc 200 -stream -sd -j -o output.json -v
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)')
default_index = 'httpx-logs'
def construct_map() -> dict:
'''Construct the Elasticsearch index mapping for Masscan records.'''
# Setting up logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', datefmt='%m/%d %I:%M:%S')
keyword_mapping = { 'type': 'text', 'fields': { 'keyword': { 'type': 'keyword', 'ignore_above': 256 } } }
class ElasticIndexer:
def __init__(self, es_host: str, es_port: int, es_user: str, es_password: str, es_api_key: str, es_index: str, dry_run: bool = False, self_signed: bool = False, retries: int = 10, timeout: int = 30):
'''
Initialize the Elastic Search indexer.
:param es_host: Elasticsearch host(s)
: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
:param retries: Number of times to retry indexing a batch before failing
:param timeout: Number of seconds to wait before retrying a batch
'''
self.dry_run = dry_run
self.es = None
self.es_index = es_index
if not dry_run:
es_config = {
'hosts': [f'{es_host}:{es_port}'],
'verify_certs': self_signed,
'ssl_show_warn': self_signed,
'request_timeout': timeout,
'max_retries': retries,
'retry_on_timeout': True,
'sniff_on_start': False,
'sniff_on_node_failure': True,
'min_delay_between_sniffing': 60
}
if es_api_key:
es_config['headers'] = {'Authorization': f'ApiKey {es_api_key}'}
else:
es_config['basic_auth'] = (es_user, es_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)
# Remove the above and uncomment the below if the bug is fixed in the Elasticsearch client:
#self.es = Elasticsearch(**es_config)
def get_cluster_health(self) -> dict:
'''Get the health of the Elasticsearch cluster.'''
return self.es.cluster.health()
def get_cluster_size(self) -> int:
'''Get the number of nodes in the Elasticsearch cluster.'''
cluster_stats = self.es.cluster.stats()
number_of_nodes = cluster_stats['nodes']['count']['total']
return number_of_nodes
def process_file(self, file_path: str, watch: bool = False, chunk: dict = {}):
'''
Read and index HTTPX records in batches to Elasticsearch, handling large volumes efficiently.
:param file_path: Path to the HTTPX log file
:param watch: If True, watch the file for new lines and index them in real time
:param chunk: Chunking configuration
Example record:
{
"timestamp":"2024-01-14T13:08:15.117348474-05:00", # Rename to seen and remove milliseconds and offset
"hash": {
"body_md5":"4ae9394eb98233b482508cbda3b33a66",
"body_mmh3":"-4111954",
"body_sha256":"89e06e8374353469c65adb227b158b265641b424fba7ddb2c67eef0c4c1280d3",
"body_simhash":"9814303593401624250",
"header_md5":"980366deb2b2fb5df2ad861fc63e79ce",
"header_mmh3":"-813072798",
"header_sha256":"39aea75ad548e38b635421861641ad1919ed3b103b17a33c41e7ad46516f736d",
"header_simhash":"10962523587435277678"
},
"port":"443",
"url":"https://supernets.org",
"input":"supernets.org", # rename to domain
"title":"SuperNETs",
"scheme":"https",
"webserver":"nginx",
"body_preview":"SUPERNETS Home About Contact Donate Docs Network IRC Git Invidious Jitsi LibreX Mastodon Matrix Sup",
"content_type":"text/html",
"method":"GET",
"host":"51.89.151.158",
"path":"/",
"favicon":"-674048714",
"favicon_path":"/i/favicon.png",
"time":"592.907689ms",
"a":[
"51.89.151.158",
"2001:41d0:801:2000::5ce9"
],
"tech":[
"Bootstrap:4.0.0",
"HSTS",
"Nginx"
],
"words":436,
"lines":79,
"status_code":200,
"content_length":4597,
"failed":false,
"knowledgebase":{
"PageType":"nonerror",
"pHash":0
mapping = {
'mappings': {
'properties': {
'change': 'me'
}
}
'''
}
count = 0
records = []
with open(file_path, 'r') as file:
for line in (file := follow(file) if watch else file):
line = line.strip()
if not line:
continue
record = json.loads(line)
record['seen'] = record.pop('timestamp').split('.')[0] + 'Z' # Hacky solution to maintain ISO 8601 format without milliseconds or offsets
record['domain'] = record.pop('input')
del record['failed'], record['knowledgebase'], record['time']
if self.dry_run:
print(record)
else:
record = {'_index': self.es_index, '_source': record}
records.append(record)
count += 1
if len(records) >= chunk['batch']:
self.bulk_index(records, file_path, chunk, count)
records = []
if records:
self.bulk_index(records, file_path, chunk, count)
def bulk_index(self, documents: list, file_path: str, chunk: dict, count: int):
'''
Index a batch of documents to Elasticsearch.
:param documents: List of documents to index
:param file_path: Path to the file being indexed
:param count: Total number of records processed
'''
remaining_documents = documents
parallel_bulk_config = {
'client': self.es,
'chunk_size': chunk['size'],
'max_chunk_bytes': chunk['max_size'] * 1024 * 1024, # MB
'thread_count': chunk['threads'],
'queue_size': 2
}
while remaining_documents:
failed_documents = []
try:
for success, response in helpers.parallel_bulk(actions=remaining_documents, **parallel_bulk_config):
if not success:
failed_documents.append(response)
if not failed_documents:
ingested = parallel_bulk_config['chunk_size'] * parallel_bulk_config['thread_count']
logging.info(f'Successfully indexed {ingested:,} ({count:,} processed) records to {self.es_index} from {file_path}')
break
else:
logging.warning(f'Failed to index {len(failed_documents):,} failed documents! Retrying...')
remaining_documents = failed_documents
except Exception as e:
logging.error(f'Failed to index documents! ({e})')
time.sleep(30)
return mapping
def follow(file) -> str:
'''
Generator function that yields new lines in a file in real time.
:param file: File object to read from
'''
def process_file(file_path: str):
'''
Read and process HTTPX records from the log file.
file.seek(0,2) # Go to the end of the file
:param file_path: Path to the HTTPX log file
'''
while True:
line = file.readline()
with open(file_path, 'r') as file:
for line in file:
line = line.strip()
if not line:
time.sleep(0.1)
continue
yield line
record = json.loads(line)
record['seen'] = record.pop('timestamp').split('.')[0] + 'Z' # Hacky solution to maintain ISO 8601 format without milliseconds or offsets
record['domain'] = record.pop('input')
del record['failed'], record['knowledgebase'], record['time']
yield record
return None # EOF
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='Watch the input file for new lines and index them in real time')
# 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='httpx-logs', 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')
# Performance arguments
parser.add_argument('--batch-max', type=int, default=10, help='Maximum size in MB of a batch')
parser.add_argument('--batch-size', type=int, default=5000, help='Number of records to index in a batch')
parser.add_argument('--batch-threads', type=int, default=2, help='Number of threads to use when indexing in batches')
parser.add_argument('--retries', type=int, default=10, help='Number of times to retry indexing a batch before failing')
parser.add_argument('--timeout', type=int, default=30, help='Number of seconds to wait before retrying a batch')
args = parser.parse_args()
# Argument validation
if not os.path.isdir(args.input_path) and not os.path.isfile(args.input_path):
raise FileNotFoundError(f'Input path {args.input_path} does not exist or is not a file or directory')
if not args.dry_run:
if args.batch_size < 1:
raise ValueError('Batch size must be greater than 0')
elif args.retries < 1:
raise ValueError('Number of retries must be greater than 0')
elif args.timeout < 5:
raise ValueError('Timeout must be greater than 4')
elif args.batch_max < 1:
raise ValueError('Batch max size must be greater than 0')
elif args.batch_threads < 1:
raise ValueError('Batch threads must be greater than 0')
elif not args.host:
raise ValueError('Missing required Elasticsearch argument: host')
elif not args.api_key and (not args.user or not args.password):
raise ValueError('Missing required Elasticsearch argument: either user and password or apikey')
elif args.shards < 1:
raise ValueError('Number of shards must be greater than 0')
elif args.replicas < 0:
raise ValueError('Number of replicas must be greater than 0')
edx = ElasticIndexer(args.host, args.port, args.user, args.password, args.api_key, args.index, args.dry_run, args.self_signed, args.retries, args.timeout)
if not args.dry_run:
print(edx.get_cluster_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)')
edx.create_index(args.shards, args.replicas) # Create the index if it does not exist
chunk = {
'size': args.batch_size,
'max_size': args.batch_max * 1024 * 1024, # MB
'threads': args.batch_threads
}
chunk['batch'] = nodes * (chunk['size'] * chunk['threads'])
else:
chunk = {} # Ugly hack to get this working...
if os.path.isfile(args.input_path):
logging.info(f'Processing file: {args.input_path}')
edx.process_file(args.input_path, args.watch, chunk)
elif os.path.isdir(args.input_path):
count = 1
total = len(os.listdir(args.input_path))
logging.info(f'Processing {total:,} 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'[{count:,}/{total:,}] Processing file: {file_path}')
edx.process_file(file_path, args.watch, chunk)
count += 1
else:
logging.warning(f'[{count:,}/{total:,}] Skipping non-file: {file_path}')
''''
Example record:
{
"timestamp":"2024-01-14T13:08:15.117348474-05:00", # Rename to seen and remove milliseconds and offset
"hash": {
"body_md5":"4ae9394eb98233b482508cbda3b33a66",
"body_mmh3":"-4111954",
"body_sha256":"89e06e8374353469c65adb227b158b265641b424fba7ddb2c67eef0c4c1280d3",
"body_simhash":"9814303593401624250",
"header_md5":"980366deb2b2fb5df2ad861fc63e79ce",
"header_mmh3":"-813072798",
"header_sha256":"39aea75ad548e38b635421861641ad1919ed3b103b17a33c41e7ad46516f736d",
"header_simhash":"10962523587435277678"
},
"port":"443",
"url":"https://supernets.org",
"input":"supernets.org", # rename to domain
"title":"SuperNETs",
"scheme":"https",
"webserver":"nginx",
"body_preview":"SUPERNETS Home About Contact Donate Docs Network IRC Git Invidious Jitsi LibreX Mastodon Matrix Sup",
"content_type":"text/html",
"method":"GET",
"host":"51.89.151.158",
"path":"/",
"favicon":"-674048714",
"favicon_path":"/i/favicon.png",
"time":"592.907689ms",
"a":[
"6.150.220.23"
],
"tech":[
"Bootstrap:4.0.0",
"HSTS",
"Nginx"
],
"words":436,
"lines":79,
"status_code":200,
"content_length":4597,
"failed":false,
"knowledgebase":{
"PageType":"nonerror",
"pHash":0
}
}
'''

459
ingestors/ingest_masscan.py
View File

@ -1,384 +1,135 @@
#!/usr/bin/env python
# Elasticsearch Recon Ingestion Scripts (ERIS) - Developed by Acidvegas (https://git.acid.vegas/eris)
# ingest_masscan.py
# Masscan Log File Ingestion:
#
# This script takes JSON formatted masscan logs with banners and indexes them into Elasticsearch.
#
# Saving my "typical" masscan setup & command here for reference to myself:
# apt-get install iptables masscan libpcap-dev screen
# /sbin/iptables -A INPUT -p tcp --dport 61010 -j DROP
# printf "0.0.0.0/8\n10.0.0.0/8\n100.64.0.0/10\n127.0.0.0/8\n169.254.0.0/16\n172.16.0.0/12\n192.0.0.0/24\n192.0.0.0/29\n192.0.0.170/32\n192.0.0.171/32\n192.0.2.0/24\n192.88.99.0/24\n192.168.0.0/16\n198.18.0.0/15\n198.51.100.0/24\n203.0.113.0/24\n240.0.0.0/4\n255.255.255.255/32\n" > exclude.conf
# screen -S scan
# masscan 0.0.0.0/0 -p8080,8888,8000 --banners --source-port 61010 --open-only --rate 35000 --excludefile exclude.conf -oJ output_new.json --interactive
#
# Note: The above iptables rule is not persistent and will be removed on reboot.
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)')
default_index = 'masscan-logs'
def construct_map() -> dict:
'''Construct the Elasticsearch index mapping for Masscan records.'''
# Setting up logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', datefmt='%m/%d %I:%M:%S')
keyword_mapping = { 'type': 'text', 'fields': { 'keyword': { 'type': 'keyword', 'ignore_above': 256 } } }
class ElasticIndexer:
def __init__(self, es_host: str, es_port: int, es_user: str, es_password: str, es_api_key: str, es_index: str, dry_run: bool = False, self_signed: bool = False, retries: int = 10, timeout: int = 30):
'''
Initialize the Elastic Search indexer.
:param es_host: Elasticsearch host(s)
: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
:param retries: Number of times to retry indexing a batch before failing
:param timeout: Number of seconds to wait before retrying a batch
'''
self.dry_run = dry_run
self.es = None
self.es_index = es_index
if not dry_run:
es_config = {
'hosts': [f'{es_host}:{es_port}'],
'verify_certs': self_signed,
'ssl_show_warn': self_signed,
'request_timeout': timeout,
'max_retries': retries,
'retry_on_timeout': True,
'sniff_on_start': False,
'sniff_on_node_failure': True,
'min_delay_between_sniffing': 60
}
if es_api_key:
es_config['headers'] = {'Authorization': f'ApiKey {es_api_key}'}
else:
es_config['basic_auth'] = (es_user, es_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)
# Remove the above and uncomment the below if the bug is fixed in the Elasticsearch client:
#self.es = Elasticsearch(**es_config)
def create_index(self, shards: int = 1, replicas: int = 1):
'''
Create the Elasticsearch index with the defined mapping.
:param shards: Number of shards for the index
:param replicas: Number of replicas for the index
'''
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' }
mapping = {
'mappings': {
'properties': {
'ip': { 'type': 'ip' },
'port': { 'type': 'integer' },
'proto': { 'type': 'keyword' },
'service': { 'type': 'keyword' },
'banner': keyword_mapping,
'ref_id': { 'type': 'keyword' },
'seen': { 'type': 'date' },
'geoip': {
'properties': {
'city_name': keyword_mapping,
'continent_name': keyword_mapping,
'country_iso_code': keyword_mapping,
'country_name': keyword_mapping,
'location': { 'type': 'geo_point' },
'region_iso_code': keyword_mapping,
'region_name': keyword_mapping,
}
}
}
}
}
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.')
return mapping
def get_cluster_health(self) -> dict:
'''Get the health of the Elasticsearch cluster.'''
def process_file(file_path: str):
'''
Read and process Masscan records from the log file.
return self.es.cluster.health()
:param file_path: Path to the Masscan log file
'''
def get_cluster_size(self) -> int:
'''Get the number of nodes in the Elasticsearch cluster.'''
with open(file_path, 'r') as file:
for line in file:
line = line.strip()
cluster_stats = self.es.cluster.stats()
number_of_nodes = cluster_stats['nodes']['count']['total']
return number_of_nodes
def process_file(self, file_path: str, watch: bool = False, chunk: dict = {}):
'''
Read and index Masscan records in batches to Elasticsearch, handling large volumes efficiently.
:param file_path: Path to the Masscan log file
:param watch: If True, input file will be watched for new lines and indexed in real time\
:param chunk: Chunk configuration for indexing in batches
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?)
}
'''
count = 0
records = []
with open(file_path, 'r') as file:
for line in (file := follow(file) if watch else 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 = ' '.join(port_info['service']['banner'].split()) # Remove extra whitespace
if 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)
count += 1
if len(records) >= chunk['batch']:
self.bulk_index(records, file_path, chunk, count)
records = []
if records:
self.bulk_index(records, file_path, chunk, count)
def bulk_index(self, documents: list, file_path: str, chunk: dict, count: int):
'''
Index a batch of documents to Elasticsearch.
:param documents: List of documents to index
:param file_path: Path to the file being indexed
:param count: Total number of records processed
'''
remaining_documents = documents
parallel_bulk_config = {
'client': self.es,
'chunk_size': chunk['size'],
'max_chunk_bytes': chunk['max_size'] * 1024 * 1024, # MB
'thread_count': chunk['threads'],
'queue_size': 2
}
while remaining_documents:
failed_documents = []
if not line or not line.startswith('{'):
continue
try:
for success, response in helpers.parallel_bulk(actions=remaining_documents, **parallel_bulk_config):
if not success:
failed_documents.append(response)
record = json.loads(line)
except json.decoder.JSONDecodeError:
logging.error(f'Failed to parse JSON record! ({line})')
input('Press Enter to continue...') # Debugging
continue
if not failed_documents:
ingested = parallel_bulk_config['chunk_size'] * parallel_bulk_config['thread_count']
logging.info(f'Successfully indexed {ingested:,} ({count:,} processed) records to {self.es_index} from {file_path}')
break
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']))),
}
else:
logging.warning(f'Failed to index {len(failed_documents):,} failed documents! Retrying...')
remaining_documents = failed_documents
except Exception as e:
logging.error(f'Failed to index documents! ({e})')
time.sleep(30)
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 = ' '.join(port_info['service']['banner'].split()) # Remove extra whitespace
if banner:
match = re.search(r'\(Ref\.Id: (.*?)\)', banner)
if match:
struct['ref_id'] = match.group(1)
else:
struct['banner'] = banner
yield struct
return None # EOF
def follow(file) -> str:
'''
Generator function that yields new lines in a file in real time.
:param file: File object to read from
'''
file.seek(0,2) # Go to the end of the file
while True:
line = file.readline()
if not line:
time.sleep(0.1)
continue
yield line
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='Watch the input file for new lines and index them in real time')
# 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='masscan-logs', 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')
# Performance arguments
parser.add_argument('--batch-max', type=int, default=10, help='Maximum size in MB of a batch')
parser.add_argument('--batch-size', type=int, default=5000, help='Number of records to index in a batch')
parser.add_argument('--batch-threads', type=int, default=2, help='Number of threads to use when indexing in batches')
parser.add_argument('--retries', type=int, default=10, help='Number of times to retry indexing a batch before failing')
parser.add_argument('--timeout', type=int, default=30, help='Number of seconds to wait before retrying a batch')
args = parser.parse_args()
# Argument validation
if not os.path.isdir(args.input_path) and not os.path.isfile(args.input_path):
raise FileNotFoundError(f'Input path {args.input_path} does not exist or is not a file or directory')
if not args.dry_run:
if args.batch_size < 1:
raise ValueError('Batch size must be greater than 0')
elif args.retries < 1:
raise ValueError('Number of retries must be greater than 0')
elif args.timeout < 5:
raise ValueError('Timeout must be greater than 4')
elif args.batch_max < 1:
raise ValueError('Batch max size must be greater than 0')
elif args.batch_threads < 1:
raise ValueError('Batch threads must be greater than 0')
elif not args.host:
raise ValueError('Missing required Elasticsearch argument: host')
elif not args.api_key and (not args.user or not args.password):
raise ValueError('Missing required Elasticsearch argument: either user and password or apikey')
elif args.shards < 1:
raise ValueError('Number of shards must be greater than 0')
elif args.replicas < 0:
raise ValueError('Number of replicas must be greater than 0')
edx = ElasticIndexer(args.host, args.port, args.user, args.password, args.api_key, args.index, args.dry_run, args.self_signed, args.retries, args.timeout)
if not args.dry_run:
print(edx.get_cluster_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)')
edx.create_index(args.shards, args.replicas) # Create the index if it does not exist
chunk = {
'size': args.batch_size,
'max_size': args.batch_max * 1024 * 1024, # MB
'threads': args.batch_threads
'''
Example record:
{
"ip": "43.134.51.142",
"timestamp": "1705255468", # Convert to ZULU BABY
"ports": [ # 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"
}
}
chunk['batch'] = nodes * (chunk['size'] * chunk['threads'])
else:
chunk = {} # Ugly hack to get this working...
]
}
if os.path.isfile(args.input_path):
logging.info(f'Processing file: {args.input_path}')
edx.process_file(args.input_path, args.watch, chunk)
Will be indexed as:
{
"ip": "43.134.51.142",
"port": 22,
"proto": "tcp",
"service": "ssh",
"banner": "SSH-2.0-OpenSSH_8.9p1 Ubuntu-3ubuntu0.4",
"seen": "2021-10-08T02:04:28Z",
"ref_id": "?sKfOvsC4M4a2W8PaC4zF?", # TCP RST Payload, Might be useful..
elif os.path.isdir(args.input_path):
count = 1
total = len(os.listdir(args.input_path))
logging.info(f'Processing {total:,} 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'[{count:,}/{total:,}] Processing file: {file_path}')
edx.process_file(file_path, args.watch, chunk)
count += 1
else:
logging.warning(f'[{count:,}/{total:,}] Skipping non-file: {file_path}')
if __name__ == '__main__':
main()
# GeoIP ingestion pipeline fields
"geoip": {
"city_name": "City",
"continent_name": "Continent",
"country_iso_code": "CC",
"country_name": "Country",
"location": {
"lat": 0.0000,
"lon": 0.0000
},
"region_iso_code": "RR",
"region_name": "Region"
}
}
'''

406
ingestors/ingest_massdns.py
View File

@ -1,359 +1,87 @@
#!/usr/bin/env python
# Elasticsearch Recon Ingestion Scripts (ERIS) - Developed by Acidvegas (https://git.acid.vegas/eris)
# ingest_massdns.py
# 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 logging
import os
import time
try:
from elasticsearch import Elasticsearch, helpers
except ImportError:
raise ImportError('Missing required \'elasticsearch\' library. (pip install elasticsearch)')
default_index = 'ptr-records'
def construct_map() -> dict:
'''Construct the Elasticsearch index mapping for MassDNS records'''
# Setting up logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', datefmt='%m/%d %I:%M:%S')
keyword_mapping = { 'type': 'text', 'fields': { 'keyword': { 'type': 'keyword', 'ignore_above': 256 } } }
class ElasticIndexer:
def __init__(self, es_host: str, es_port: int, es_user: str, es_password: str, es_api_key: str, es_index: str, dry_run: bool = False, self_signed: bool = False, retries: int = 10, timeout: int = 30):
'''
Initialize the Elastic Search indexer.
:param es_host: Elasticsearch host(s)
: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
:param retries: Number of times to retry indexing a batch before failing
:param timeout: Number of seconds to wait before retrying a batch
'''
self.dry_run = dry_run
self.es = None
self.es_index = es_index
if not dry_run:
es_config = {
'hosts': [f'{es_host}:{es_port}'],
'verify_certs': self_signed,
'ssl_show_warn': self_signed,
'request_timeout': timeout,
'max_retries': retries,
'retry_on_timeout': True,
'sniff_on_start': False,
'sniff_on_node_failure': True,
'min_delay_between_sniffing': 60
}
if es_api_key:
es_config['headers'] = {'Authorization': f'ApiKey {es_api_key}'}
else:
es_config['basic_auth'] = (es_user, es_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)
# Remove the above and uncomment the below if the bug is fixed in the Elasticsearch client:
#self.es = Elasticsearch(**es_config)
def create_index(self, shards: int = 1, replicas: int = 1):
'''
Create the Elasticsearch index with the defined mapping.
:param shards: Number of shards for the index
:param replicas: Number of replicas for the index
'''
mapping = {
'settings': {
'number_of_shards': shards,
'number_of_replicas': replicas
},
'mappings': {
'properties': {
'ip': { 'type': 'ip' },
'name': { 'type': 'keyword' },
'record': { 'type': 'text', 'fields': { 'keyword': { 'type': 'keyword', 'ignore_above': 256 } } },
'seen': { 'type': 'date' }
}
mapping = {
'mappings': {
'properties': {
'ip': { 'type': 'ip' },
'name': { 'type': 'keyword' },
'record': keyword_mapping,
'seen': { 'type': 'date' }
}
}
}
if not self.es.indices.exists(index=self.es_index):
response = self.es.indices.create(index=self.es_index, body=mapping)
return mapping
def process_file(file_path: str):
'''
Read and process Massdns records from the log file.
:param file_path: Path to the Massdns log file
'''
with open(file_path, 'r') as file:
for line in file:
line = line.strip()
if not line:
continue
parts = line.split()
if len(parts) < 3:
raise ValueError(f'Invalid PTR record: {line}')
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})')
name, record_type, data = parts[0].rstrip('.'), parts[1], ' '.join(parts[2:]).rstrip('.')
else:
logging.warning(f'Index \'{self.es_index}\' already exists.')
if record_type != 'PTR':
continue
#if record_type == 'CNAME':
# if data.endswith('.in-addr.arpa'):
# continue
def get_cluster_health(self) -> dict:
'''Get the health of the Elasticsearch cluster.'''
# Let's not index the PTR record if it's the same as the in-addr.arpa domain
if data == name:
continue
return self.es.cluster.health()
ip = '.'.join(name.replace('.in-addr.arpa', '').split('.')[::-1])
struct = {
'ip': ip,
'record': data,
'seen': time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime())
}
yield struct
def get_cluster_size(self) -> int:
'''Get the number of nodes in the Elasticsearch cluster.'''
cluster_stats = self.es.cluster.stats()
number_of_nodes = cluster_stats['nodes']['count']['total']
return number_of_nodes
return None # EOF
def process_file(self, file_path: str, watch: bool = False, chunk: dict = {}):
'''
Read and index PTR records in batches to Elasticsearch, handling large volumes efficiently.
'''
Example PTR record:
0.6.229.47.in-addr.arpa. PTR 047-229-006-000.res.spectrum.com.
0.6.228.75.in-addr.arpa. PTR 0.sub-75-228-6.myvzw.com.
0.6.207.73.in-addr.arpa. PTR c-73-207-6-0.hsd1.ga.comcast.net.
0.6.212.173.in-addr.arpa. PTR 173-212-6-0.cpe.surry.net.
0.6.201.133.in-addr.arpa. PTR flh2-133-201-6-0.tky.mesh.ad.jp.
:param file_path: Path to the Masscan log file
:param watch: If True, input file will be watched for new lines and indexed in real time\
:param chunk: Chunk configuration for indexing in batches
Example PTR record:
0.6.229.47.in-addr.arpa. PTR 047-229-006-000.res.spectrum.com.
0.6.228.75.in-addr.arpa. PTR 0.sub-75-228-6.myvzw.com.
0.6.207.73.in-addr.arpa. PTR c-73-207-6-0.hsd1.ga.comcast.net.
0.6.212.173.in-addr.arpa. PTR 173-212-6-0.cpe.surry.net.
0.6.201.133.in-addr.arpa. PTR flh2-133-201-6-0.tky.mesh.ad.jp.
Will be indexed as:
{
"ip": "47.229.6.0",
"record": "047-229-006-000.res.spectrum.com.",
"seen": "2021-06-30T18:31:00Z"
}
'''
count = 0
records = []
with open(file_path, 'r') as file:
for line in (file := follow(file) if watch else file):
line = line.strip()
if not line:
continue
parts = line.split()
if len(parts) < 3:
raise ValueError(f'Invalid PTR record: {line}')
name, record_type, data = parts[0].rstrip('.'), parts[1], ' '.join(parts[2:]).rstrip('.')
if record_type != 'PTR':
continue
# Let's not index the PTR record if it's the same as the in-addr.arpa domain
if data == name:
continue
ip = '.'.join(name.replace('.in-addr.arpa', '').split('.')[::-1])
source = {
'ip': ip,
'record': data,
'seen': time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime())
}
if self.dry_run:
print(source)
else:
struct = {'_index': self.es_index, '_source': source}
records.append(struct)
count += 1
if len(records) >= chunk['batch']:
self.bulk_index(records, file_path, chunk, count)
records = []
if records:
self.bulk_index(records, file_path, chunk, count)
def bulk_index(self, documents: list, file_path: str, chunk: dict, count: int):
'''
Index a batch of documents to Elasticsearch.
:param documents: List of documents to index
:param file_path: Path to the file being indexed
:param chunk: Chunk configuration
:param count: Total number of records processed
'''
remaining_documents = documents
parallel_bulk_config = {
'client': self.es,
'chunk_size': chunk['size'],
'max_chunk_bytes': chunk['max_size'],
'thread_count': chunk['threads'],
'queue_size': 2
}
while remaining_documents:
failed_documents = []
try:
for success, response in helpers.parallel_bulk(actions=remaining_documents, **parallel_bulk_config):
if not success:
failed_documents.append(response)
if not failed_documents:
ingested = parallel_bulk_config['chunk_size'] * parallel_bulk_config['thread_count']
logging.info(f'Successfully indexed {ingested:,} ({count:,} processed) records to {self.es_index} from {file_path}')
break
else:
logging.warning(f'Failed to index {len(failed_documents):,} failed documents! Retrying...')
remaining_documents = failed_documents
except Exception as e:
logging.error(f'Failed to index documents! ({e})')
time.sleep(30)
def follow(file) -> str:
'''
Generator function that yields new lines in a file in real time.
:param file: File object to read from
'''
file.seek(0,2) # Go to the end of the file
while True:
line = file.readline()
if not line:
time.sleep(0.1)
continue
yield line
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='Watch the input file for new lines and index them in real time')
# 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='ptr-records', 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')
# Performance arguments
parser.add_argument('--batch-max', type=int, default=10, help='Maximum size in MB of a batch')
parser.add_argument('--batch-size', type=int, default=5000, help='Number of records to index in a batch')
parser.add_argument('--batch-threads', type=int, default=2, help='Number of threads to use when indexing in batches')
parser.add_argument('--retries', type=int, default=10, help='Number of times to retry indexing a batch before failing')
parser.add_argument('--timeout', type=int, default=30, help='Number of seconds to wait before retrying a batch')
args = parser.parse_args()
# Argument validation
if not os.path.isdir(args.input_path) and not os.path.isfile(args.input_path):
raise FileNotFoundError(f'Input path {args.input_path} does not exist or is not a file or directory')
if not args.dry_run:
if args.batch_size < 1:
raise ValueError('Batch size must be greater than 0')
elif args.retries < 1:
raise ValueError('Number of retries must be greater than 0')
elif args.timeout < 5:
raise ValueError('Timeout must be greater than 4')
elif args.batch_max < 1:
raise ValueError('Batch max size must be greater than 0')
elif args.batch_threads < 1:
raise ValueError('Batch threads must be greater than 0')
elif not args.host:
raise ValueError('Missing required Elasticsearch argument: host')
elif not args.api_key and (not args.user or not args.password):
raise ValueError('Missing required Elasticsearch argument: either user and password or apikey')
elif args.shards < 1:
raise ValueError('Number of shards must be greater than 0')
elif args.replicas < 0:
raise ValueError('Number of replicas must be greater than 0')
edx = ElasticIndexer(args.host, args.port, args.user, args.password, args.api_key, args.index, args.dry_run, args.self_signed, args.retries, args.timeout)
if not args.dry_run:
print(edx.get_cluster_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)')
edx.create_index(args.shards, args.replicas) # Create the index if it does not exist
chunk = {
'size': args.batch_size,
'max_size': args.batch_max * 1024 * 1024, # MB
'threads': args.batch_threads
}
chunk['batch'] = nodes * (chunk['size'] * chunk['threads'])
else:
chunk = {} # Ugly hack to get this working...
if os.path.isfile(args.input_path):
logging.info(f'Processing file: {args.input_path}')
edx.process_file(args.input_path, args.watch, chunk)
elif os.path.isdir(args.input_path):
count = 1
total = len(os.listdir(args.input_path))
logging.info(f'Processing {total:,} 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'[{count:,}/{total:,}] Processing file: {file_path}')
edx.process_file(file_path, args.watch, chunk)
count += 1
else:
logging.warning(f'[{count:,}/{total:,}] Skipping non-file: {file_path}')
if __name__ == '__main__':
main()
Will be indexed as:
{
"ip": "47.229.6.0",
"record": "047-229-006-000.res.spectrum.com.",
"seen": "2021-06-30T18:31:00Z"
}
'''

456
ingestors/ingest_zone.py
View File

@ -1,400 +1,132 @@
#!/usr/bin/env python
# Elasticsearch Recon Ingestion Scripts (ERIS) - Developed by Acidvegas (https://git.acid.vegas/eris)
# ingest_zone.py
# DNS Zone File Ingestion:
#
# This script will read a DNS zone file and index the records to Elasticsearch.
#
# Zone files must be valid and follow the RFC 1035 standard for proper indexing:
# - https://datatracker.ietf.org/doc/html/rfc1035
#
# Most of my zones come from CZDS but AXFR outputs can be used as well.
# Anomaly detection is in place to alert the user of any unexpected records.
# WARNING NOTICE:
#
# The following zones need reindex due to previous unsupported record types:
# - .wang (Contains a completely invalid line) (tjjm6hs65gL9KUFU76J747MB NS)
# - .tel (NAPTR records were missing)
# - .nu (RP records were missing
# - .se (RP records were missing)
import argparse
import logging
import os
import time
try:
from elasticsearch import Elasticsearch, helpers, ConnectionError, TransportError
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')
# Record types to index
default_index = 'dns-zones'
record_types = ('a','aaaa','caa','cdnskey','cds','cname','dnskey','ds','mx','naptr','ns','nsec','nsec3','nsec3param','ptr','rrsig','rp','sshfp','soa','srv','txt','type65534')
def construct_map() -> dict:
'''Construct the Elasticsearch index mapping for zone file records.'''
class ElasticIndexer:
def __init__(self, es_host: str, es_port: int, es_user: str, es_password: str, es_api_key: str, es_index: str, dry_run: bool = False, self_signed: bool = False, retries: int = 10, timeout: int = 30):
'''
Initialize the Elastic Search indexer.
keyword_mapping = { 'type': 'text', 'fields': { 'keyword': { 'type': 'keyword', 'ignore_above': 256 } } }
:param es_host: Elasticsearch host(s)
: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
:param retries: Number of times to retry indexing a batch before failing
:param timeout: Number of seconds to wait before retrying a batch
'''
self.dry_run = dry_run
self.es = None
self.es_index = es_index
if not dry_run:
es_config = {
'hosts': [f'{es_host}:{es_port}'],
'verify_certs': self_signed,
'ssl_show_warn': self_signed,
'request_timeout': timeout,
'max_retries': retries,
'retry_on_timeout': True,
'sniff_on_start': False,
'sniff_on_node_failure': True,
'min_delay_between_sniffing': 60
mapping = {
'mappings': {
'properties': {
'domain': keyword_mapping,
'records': { 'properties': {} },
'seen': {'type': 'date'}
}
}
}
if es_api_key:
es_config['headers'] = {'Authorization': f'ApiKey {es_api_key}'}
else:
es_config['basic_auth'] = (es_user, es_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)
# Remove the above and uncomment the below if the bug is fixed in the Elasticsearch client:
#self.es = Elasticsearch(**es_config)
def create_index(self, shards: int = 1, replicas: int = 1):
'''
Create the Elasticsearch index with the defined mapping.
:param shards: Number of shards for the index
:param replicas: Number of replicas for the index
'''
mapping = {
'settings': {
'number_of_shards': shards,
'number_of_replicas': replicas
},
'mappings': {
# Add record types to mapping dynamically to not clutter the code
for item in record_types:
if item in ('a','aaaa'):
mapping['mappings']['properties']['records']['properties'][item] = {
'properties': {
'domain': { 'type': 'text', 'fields': { 'keyword': { 'type': 'keyword', 'ignore_above': 256 } } },
'records': { 'properties': {} },
'seen': {'type': 'date'}
'data': { 'type': 'ip' },
'ttl': { 'type': 'integer' }
}
}
}
# Add record types to mapping dynamically to not clutter the code
for item in record_types:
if item in ('a','aaaa'):
mapping['mappings']['properties']['records']['properties'][item] = {
'properties': {
'data': { 'type': 'ip' },
'ttl': { 'type': 'integer' }
}
}
else:
mapping['mappings']['properties']['records']['properties'][item] = {
'properties': {
'data': { 'type': 'text', 'fields': { 'keyword': { 'type': 'keyword', 'ignore_above': 256 } } },
'ttl': { 'type': 'integer' }
}
}
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.')
mapping['mappings']['properties']['records']['properties'][item] = {
'properties': {
'data': keyword_mapping,
'ttl': { 'type': 'integer' }
}
}
return mapping
def get_cluster_health(self) -> dict:
'''Get the health of the Elasticsearch cluster.'''
def process_file(file_path: str):
'''
Read and process zone file records.
return self.es.cluster.health()
:param file_path: Path to the zone file
'''
def get_cluster_size(self) -> int:
'''Get the number of nodes in the Elasticsearch cluster.'''
domain_records = {}
last_domain = None
cluster_stats = self.es.cluster.stats()
number_of_nodes = cluster_stats['nodes']['count']['total']
with open(file_path, 'r') as file:
for line in file:
line = line.strip()
return number_of_nodes
if not line or line.startswith(';'):
continue
parts = line.split()
def process_file(self, file_path: str, watch: bool = False, chunk: dict = {}):
'''
Read and index DNS records in batches to Elasticsearch, handling large volumes efficiently.
if len(parts) < 5:
raise ValueError(f'Invalid line: {line}')
:param file_path: Path to the Masscan log file
:param watch: If True, input file will be watched for new lines and indexed in real time\
:param chunk: Chunk configuration for indexing in batches
domain, ttl, record_class, record_type, data = parts[0].rstrip('.').lower(), parts[1], parts[2].lower(), parts[3].lower(), ' '.join(parts[4:])
Example record:
0so9l9nrl425q3tf7dkv1nmv2r3is6vm.vegas. 3600 in nsec3 1 1 100 332539EE7F95C32A 10MHUKG4FHIAVEFDOTF6NKU5KFCB2J3A NS DS RRSIG
0so9l9nrl425q3tf7dkv1nmv2r3is6vm.vegas. 3600 in rrsig NSEC3 8 2 3600 20240122151947 20240101141947 4125 vegas. hzIvQrZIxBSwRWyiHkb5M2W0R3ikNehv884nilkvTt9DaJSDzDUrCtqwQb3jh6+BesByBqfMQK+L2n9c//ZSmD5/iPqxmTPCuYIB9uBV2qSNSNXxCY7uUt5w7hKUS68SLwOSjaQ8GRME9WQJhY6gck0f8TT24enjXXRnQC8QitY=
1-800-flowers.vegas. 3600 in ns dns1.cscdns.net.
1-800-flowers.vegas. 3600 in ns dns2.cscdns.net.
100.vegas. 3600 in ns ns51.domaincontrol.com.
100.vegas. 3600 in ns ns52.domaincontrol.com.
1001.vegas. 3600 in ns ns11.waterrockdigital.com.
1001.vegas. 3600 in ns ns12.waterrockdigital.com.
if not ttl.isdigit():
raise ValueError(f'Invalid TTL: {ttl} with line: {line}')
ttl = int(ttl)
Will be indexed as:
{
"domain": "1001.vegas",
"records": {
"ns": [
{"ttl": 3600, "data": "ns11.waterrockdigital.com"},
{"ttl": 3600, "data": "ns12.waterrockdigital.com"}
]
},
"seen": "2021-09-01T00:00:00Z" # Zulu time added upon indexing
}
'''
if record_class != 'in':
raise ValueError(f'Unsupported record class: {record_class} with line: {line}') # Anomaly (Doubtful any CHAOS/HESIOD records will be found)
count = 0
records = []
domain_records = {}
last_domain = None
# We do not want to collide with our current mapping (Again, this is an anomaly)
if record_type not in record_types:
raise ValueError(f'Unsupported record type: {record_type} with line: {line}')
with open(file_path, 'r') as file:
for line in file:
line = line.strip()
# Little tidying up for specific record types
if record_type == 'nsec':
data = ' '.join([data.split()[0].rstrip('.'), *data.split()[1:]])
elif record_type == 'soa':
data = ' '.join([part.rstrip('.') if '.' in part else part for part in data.split()])
elif data.endswith('.'):
data = data.rstrip('.')
if not line or line.startswith(';'):
continue
if domain != last_domain:
if last_domain:
source = {'domain': last_domain, 'records': domain_records[last_domain], 'seen': time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime())}
del domain_records[last_domain]
parts = line.split()
yield source
if len(parts) < 5:
raise ValueError(f'Invalid line: {line}')
last_domain = domain
domain, ttl, record_class, record_type, data = parts[0].rstrip('.').lower(), parts[1], parts[2].lower(), parts[3].lower(), ' '.join(parts[4:])
domain_records[domain] = {}
if not ttl.isdigit():
raise ValueError(f'Invalid TTL: {ttl} with line: {line}')
ttl = int(ttl)
if record_type not in domain_records[domain]:
domain_records[domain][record_type] = []
if record_class != 'in':
raise ValueError(f'Unsupported record class: {record_class} with line: {line}') # Anomaly (Doubtful any CHAOS/HESIOD records will be found)
domain_records[domain][record_type].append({'ttl': ttl, 'data': data})
# We do not want to collide with our current mapping (Again, this is an anomaly)
if record_type not in record_types:
raise ValueError(f'Unsupported record type: {record_type} with line: {line}')
# Little tidying up for specific record types
if record_type == 'nsec':
data = ' '.join([data.split()[0].rstrip('.'), *data.split()[1:]])
elif record_type == 'soa':
data = ' '.join([part.rstrip('.') if '.' in part else part for part in data.split()])
elif data.endswith('.'):
data = data.rstrip('.')
if domain != last_domain:
if last_domain:
source = {'domain': last_domain, 'records': domain_records[last_domain], 'seen': time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime())}
del domain_records[last_domain]
if self.dry_run:
print(source)
else:
struct = {'_index': self.es_index, '_source': source}
records.append(struct)
count += 1
if len(records) >= chunk['batch']:
self.bulk_index(records, file_path, chunk, count)
records = []
last_domain = domain
domain_records[domain] = {}
if record_type not in domain_records[domain]:
domain_records[domain][record_type] = []
domain_records[domain][record_type].append({'ttl': ttl, 'data': data})
if records:
self.bulk_index(records, file_path, chunk, count)
def bulk_index(self, documents: list, file_path: str, chunk: dict, count: int):
'''
Index a batch of documents to Elasticsearch.
:param documents: List of documents to index
:param file_path: Path to the file being indexed
:param count: Total number of records processed
'''
remaining_documents = documents
parallel_bulk_config = {
'client': self.es,
'chunk_size': chunk['size'],
'max_chunk_bytes': chunk['max_size'] * 1024 * 1024, # MB
'thread_count': chunk['threads'],
'queue_size': 2
}
while remaining_documents:
failed_documents = []
try:
for success, response in helpers.parallel_bulk(actions=remaining_documents, **parallel_bulk_config):
if not success:
failed_documents.append(response)
if not failed_documents:
ingested = parallel_bulk_config['chunk_size'] * parallel_bulk_config['thread_count']
logging.info(f'Successfully indexed {ingested:,} ({count:,} processed) records to {self.es_index} from {file_path}')
break
else:
logging.warning(f'Failed to index {len(failed_documents):,} failed documents! Retrying...')
remaining_documents = failed_documents
except Exception as e:
logging.error(f'Failed to index documents! ({e})')
time.sleep(30)
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='Watch the input file for new lines and index them in real time')
# 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='dns-zones', 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')
# Performance arguments
parser.add_argument('--batch-max', type=int, default=10, help='Maximum size in MB of a batch')
parser.add_argument('--batch-size', type=int, default=5000, help='Number of records to index in a batch')
parser.add_argument('--batch-threads', type=int, default=2, help='Number of threads to use when indexing in batches')
parser.add_argument('--retries', type=int, default=10, help='Number of times to retry indexing a batch before failing')
parser.add_argument('--timeout', type=int, default=30, help='Number of seconds to wait before retrying a batch')
args = parser.parse_args()
# Argument validation
if not os.path.isdir(args.input_path) and not os.path.isfile(args.input_path):
raise FileNotFoundError(f'Input path {args.input_path} does not exist or is not a file or directory')
if not args.dry_run:
if args.batch_size < 1:
raise ValueError('Batch size must be greater than 0')
elif args.retries < 1:
raise ValueError('Number of retries must be greater than 0')
elif args.timeout < 5:
raise ValueError('Timeout must be greater than 4')
elif args.batch_max < 1:
raise ValueError('Batch max size must be greater than 0')
elif args.batch_threads < 1:
raise ValueError('Batch threads must be greater than 0')
elif not args.host:
raise ValueError('Missing required Elasticsearch argument: host')
elif not args.api_key and (not args.user or not args.password):
raise ValueError('Missing required Elasticsearch argument: either user and password or apikey')
elif args.shards < 1:
raise ValueError('Number of shards must be greater than 0')
elif args.replicas < 0:
raise ValueError('Number of replicas must be greater than 0')
edx = ElasticIndexer(args.host, args.port, args.user, args.password, args.api_key, args.index, args.dry_run, args.self_signed, args.retries, args.timeout)
if not args.dry_run:
print(edx.get_cluster_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)')
edx.create_index(args.shards, args.replicas) # Create the index if it does not exist
chunk = {
'size': args.batch_size,
'max_size': args.batch_max * 1024 * 1024, # MB
'threads': args.batch_threads
}
chunk['batch'] = nodes * (chunk['size'] * chunk['threads'])
else:
chunk = {} # Ugly hack to get this working...
if os.path.isfile(args.input_path):
logging.info(f'Processing file: {args.input_path}')
edx.process_file(args.input_path, args.watch, chunk)
elif os.path.isdir(args.input_path):
count = 1
total = len(os.listdir(args.input_path))
logging.info(f'Processing {total:,} 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'[{count:,}/{total:,}] Processing file: {file_path}')
edx.process_file(file_path, args.watch, chunk)
count += 1
else:
logging.warning(f'[{count:,}/{total:,}] Skipping non-file: {file_path}')
return None # EOF
if __name__ == '__main__':
main()
'''
Example record:
0so9l9nrl425q3tf7dkv1nmv2r3is6vm.vegas. 3600 in nsec3 1 1 100 332539EE7F95C32A 10MHUKG4FHIAVEFDOTF6NKU5KFCB2J3A NS DS RRSIG
0so9l9nrl425q3tf7dkv1nmv2r3is6vm.vegas. 3600 in rrsig NSEC3 8 2 3600 20240122151947 20240101141947 4125 vegas. hzIvQrZIxBSwRWyiHkb5M2W0R3ikNehv884nilkvTt9DaJSDzDUrCtqwQb3jh6+BesByBqfMQK+L2n9c//ZSmD5/iPqxmTPCuYIB9uBV2qSNSNXxCY7uUt5w7hKUS68SLwOSjaQ8GRME9WQJhY6gck0f8TT24enjXXRnQC8QitY=
1-800-flowers.vegas. 3600 in ns dns1.cscdns.net.
1-800-flowers.vegas. 3600 in ns dns2.cscdns.net.
100.vegas. 3600 in ns ns51.domaincontrol.com.
100.vegas. 3600 in ns ns52.domaincontrol.com.
1001.vegas. 3600 in ns ns11.waterrockdigital.com.
1001.vegas. 3600 in ns ns12.waterrockdigital.com.
Will be indexed as:
{
"domain": "1001.vegas",
"records": {
"ns": [
{"ttl": 3600, "data": "ns11.waterrockdigital.com"},
{"ttl": 3600, "data": "ns12.waterrockdigital.com"}
]
},
"seen": "2021-09-01T00:00:00Z" # Zulu time added upon indexing
}
'''

1
ingestors/sniff_patch.py → sniff_patch.py
View File

@ -1,5 +1,6 @@
#!/usr/bin/env python
# Elasticsearch Recon Ingestion Scripts (ERIS) - Developed by Acidvegas (https://git.acid.vegas/eris)
# sniff_patch.py
# Note:
# This is a patch for the elasticsearch 8.x client to fix the sniff_* options.