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.
Note:
2020.06.12
I've published to PyPI!
https://pypi.org/project/evtx2es/
Usage
$ evtx2es /path/to/your/file.evtx
or
from evtx2es import evtx2es
if __name__ == '__main__':
filepath = '/path/to/your/file.evtx'
evtx2es(filepath)
Args
evtx2es supports multiple file input, all arguments are determined as file paths.
$ evtx2es file1.evtx file2.evtx file3.evtx
or
$ 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
--host:
ElasticSearch host address
(default: localhost)
--port:
ElasticSearch port number
(default: 9200)
--index:
Index name
(default: evtx2es)
--size:
bulk insert size
(default: 500)
--scheme:
Scheme to use (http, or https)
(default: http)
Examples
$ evtx2es /path/to/your/file.evtx --host=localhost --port=9200 --index=foo --size=500
if __name__ == '__main__':
evtx2es('/path/to/your/file.evtx', host=localhost, port=9200, index='foo', size=500)
Extra
Evtx2json
Extra feature. :sushi: :sushi: :sushi:
Convert from Windows Eventlog to json file.
$ evtx2json /path/to/your/file.evtx /path/to/output/target.json
or
from evtx2es import evtx2json
if __name__ == '__main__':
filepath = '/path/to/your/file.evtx'
result: List[dict] = evtx2json(filepath)
Output Format
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
via pip
$ pip install evtx2es
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.
Project details
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