Fast import of Windows EventLogs(.evtx) into Elasticsearch.
Project description
evtx2es
Fast import of Windows EventLogs(.evtx) into Elasticsearch.
Life is too short and there is not enough time to process huge Windows EventLogs with pure-Python software.
evtx2es uses Rust library pyevtx-rs, so it runs much faster than traditional software.
Usage
evtx2es can be executed from the command line or incorporated into a Python script.
$ evtx2es /path/to/your/file.evtx
from evtx2es import evtx2es
if __name__ == '__main__':
filepath = '/path/to/your/file.evtx'
evtx2es(filepath)
Arguments
evtx2es supports simultaneous import of multiple files.
$ evtx2es file1.evtx file2.evtx file3.evtx
Additionally, it also allows for recursive import under the specified directory.
$ tree .
evtxfiles/
├── file1.evtx
├── file2.evtx
├── file3.evtx
└── subdirectory/
├── file4.evtx
└── subsubdirectory/
├── file5.evtx
└── file6.evtx
$ evtx2es /evtxfiles/ # The Path is recursively expanded to file1~6.evtx.
Options
--version, -v
--help, -h
--quiet, -q
Flag to suppress standard output
(default: False)
--multiprocess, -m:
Enable multiprocessing for faster execution
(default: False)
--size:
Chunk size for processing (default: 500)
--host:
ElasticSearch host address (default: localhost)
--port:
ElasticSearch port number (default: 9200)
--index:
Destination index name for importing (default: evtx2es)
--scheme:
Protocol scheme to use (http or https) (default: http)
--pipeline:
Elasticsearch Ingest Pipeline to use (default: )
--datasetdate:
Date of the latest record in the dataset, extracted from TimeCreated field (MM/DD/YYYY.HH:MM:SS) (default: 0)
--login:
The login to use if Elastic Security is enabled (default: )
--pwd:
The password associated with the provided login (default: )
Examples
When using from the commandline interface:
$ evtx2es /path/to/your/file.evtx --host=localhost --port=9200 --index=foobar --size=500
When using from the python-script:
if __name__ == '__main__':
evtx2es('/path/to/your/file.evtx', host=localhost, port=9200, index='foobar', size=500)
With credentials for Elastic Security:
$ evtx2es /path/to/your/file.evtx --host=localhost --port=9200 --index=foobar --login=elastic --pwd=******
Note: The current version does not verify the certificate.
Appendix
Evtx2json
An additional feature: :sushi: :sushi: :sushi:
Convert Windows Event Logs to a JSON file.
$ evtx2json /path/to/your/file.evtx /path/to/output/target.json
Convert Windows Event Logs to a Python List[dict] object.
from evtx2es import evtx2json
if __name__ == '__main__':
filepath = '/path/to/your/file.evtx'
result: List[dict] = evtx2json(filepath)
Output Format Example
Using the sample evtx file of JPCERT/CC:LogonTracer as an example.
[
{
"event_record_id": 227559,
"timestamp": "2016-10-06 01:50:49.420927 UTC",
"winlog": {
"channel": "Security",
"computer_name": "WIN-WFBHIBE5GXZ.example.co.jp",
"event_id": 4624,
"opcode": 0,
"provider_guid": "{54849625-5478-4994-a5ba-3e3b0328c30d}",
"provider_name": "Microsoft-Windows-Security-Auditing",
"record_id": 227559,
"task": 12544,
"version": 0,
"process": {
"pid": 572,
"thread_id": 1244
},
"event_data": {
"AuthenticationPackageName": "Kerberos",
"IpAddress": "192.168.16.102",
"IpPort": "49220",
"KeyLength": 0,
"LmPackageName": "-",
"LogonGuid": "F4DC1C19-0544-BC52-0900-DFC19752C3C6",
"LogonProcessName": "Kerberos",
"LogonType": 3,
"ProcessId": 0,
"ProcessName": "-",
"SubjectDomainName": "-",
"SubjectLogonId": "0x0",
"SubjectUserName": "-",
"SubjectUserSid": "S-1-0-0",
"TargetDomainName": "EXAMPLE",
"TargetLogonId": "0x1fa0869",
"TargetUserName": "WIN7_64JP_02$",
"TargetUserSid": "S-1-5-21-1524084746-3249201829-3114449661-1107",
"TransmittedServices": "-",
"WorkstationName": "",
"Status": null
}
},
"log": {
"file": {
"name": "sample/Security.evtx"
}
},
"event": {
"code": 4624,
"created": "2016-10-06T01:50:49.420927Z"
},
"@timestamp": "2016-10-06T01:50:49.420927Z"
},
...
]
Performance Evaluations
evtx2es was evaluated using the sample evtx file of JPCERT/CC:LogonTracer (about 30MB binary data).
$ time evtx2es ./Security.evtx
> 6.25 user 0.13 system 0:14.08 elapsed 45%CPU
See Qiita for more information.
Running Environment
OS: Ubuntu 18.04
CPU: Intel Core i5-6500
RAM: DDR4 32GB
ElasticSearch 7.4 was running on the Docker version(Official Image).
https://hub.docker.com/_/elasticsearch
Installation
from PyPI
$ pip install evtx2es
from GitHub Releases
The version compiled into a binary using Nuitka is also available for use.
$ chmod +x ./ntfsdump
$ ./ntfsdump {{options...}}
> ntfsdump.exe {{options...}}
Contributing
The source code for evtx2es is hosted at GitHub, and you may download, fork, and review it from this repository(https://github.com/sumeshi/evtx2es). Please report issues and feature requests. :sushi: :sushi: :sushi:
License
evtx2es is released under the MIT License.
Powered by following libraries:
Inspired by EvtxtoElk.
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