A fast library for parsing and importing Windows Event Logs into Elasticsearch.
Project description
evtx2es
A command-line tool and Python library for parsing Windows Event Logs and importing the results into Elasticsearch.
Life is too short to process huge Windows Event Logs using pure Python.
evtx2es leverages the Rust-based parser pyevtx-rs, making it significantly faster than traditional tools.
It can also recover as many records as possible from corrupted, partially overwritten, or carved .evtx files.
Usage
evtx2es can be used as a standalone command-line tool or integrated directly into your Python scripts.
$ evtx2es /path/to/your/file.evtx
from evtx2es import evtx2es
evtx2es('/path/to/your/file.evtx')
Arguments
evtx2es can process multiple files at once:
$ evtx2es file1.evtx file2.evtx file3.evtx
evtx2es can recursively process all .evtx files under a specified directory:
$ tree .
evtxfiles/
├── file1.evtx
├── file2.evtx
├── file3.evtx
└── subdirectory/
├── file4.evtx
└── subsubdirectory/
├── file5.evtx
└── file6.evtx
$ evtx2es /evtxfiles/ # This recursively processes file1 through file6.
Options
--version, -v
--help, -h
--quiet, -q
Suppress standard output
(default: False)
--multiprocess, -m:
Enable multiprocessing for faster execution
(default: False)
--size:
Number of records to process per chunk (default: 500)
--host:
Elasticsearch host address (default: localhost)
--port:
Elasticsearch port number (default: 9200)
--index:
Destination index name (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 the `TimeCreated` field (MM/DD/YYYY.HH:MM:SS). If omitted, timestamps are not shifted.
--login:
Username for Elasticsearch authentication
--pwd:
Password for Elasticsearch authentication
--no-verify-certs:
Disable TLS certificate verification for Elasticsearch connections (default: False)
Examples
When using from the command line:
$ evtx2es /path/to/your/file.evtx --host=localhost --port=9200 --index=foobar --size=500
When using from a Python script:
evtx2es("/path/to/your/file.evtx", host="localhost", port=9200, index="foobar", chunk_size=500)
With credentials for Elastic Security:
$ evtx2es /path/to/your/file.evtx --host=localhost --port=9200 --index=foobar --login=elastic --pwd=******
[!WARNING] TLS certificate verification is enabled by default for Elasticsearch connections. Use
--no-verify-certsonly when connecting to a trusted cluster with self-signed or otherwise unverifiable certificates.
Appendix
evtx2json
evtx2es also includes evtx2json, a command-line tool for converting Windows Event Logs into JSON files. :sushi: :sushi: :sushi:
$ evtx2json /path/to/your/file.evtx /path/to/output/target.json
You can also convert .evtx files directly into a Python List[dict] object:
from evtx2es import evtx2json
result: List[dict] = evtx2json('/path/to/your/file.evtx')
Output Format Example
The following example uses a sample .evtx file from JPCERT/CC:LogonTracer.
[
{
"@timestamp": "2016-10-06T01:47:07.509504Z",
"event": {
"action": "eventlog-security-1102",
"category": [
"host"
],
"type": [
"info"
],
"kind": "event",
"provider": "microsoft-windows-eventlog",
"module": "windows",
"dataset": "windows.eventlog",
"code": 1102,
"created": "2016-10-06T01:47:07.509504Z"
},
"winlog": {
"channel": "Security",
"computer_name": "WIN-WFBHIBE5GXZ.example.co.jp",
"event_id": 1102,
"opcode": 0,
"record_id": 227126,
"task": 104,
"version": 0,
"provider": {
"name": "Microsoft-Windows-Eventlog",
"guid": "{fc65ddd8-d6ef-4962-83d5-6e5cfe9ce148}"
}
},
"userdata": {
"LogFileCleared": {
"#attributes": {
"xmlns:auto-ns3": "http://schemas.microsoft.com/win/2004/08/events",
"xmlns": "http://manifests.microsoft.com/win/2004/08/windows/eventlog"
},
"SubjectUserSid": "S-1-5-21-1524084746-3249201829-3114449661-500",
"SubjectUserName": "Administrator",
"SubjectDomainName": "EXAMPLE",
"SubjectLogonId": "0x32cfb"
}
},
"process": {
"pid": 960,
"thread": {
"id": 3020
}
},
"log": {
"file": {
"path": "/path/to/your/Security.evtx"
}
},
"tags": [
"eventlog"
]
},
...
]
Performance Evaluation (v1.8.0)
Performance was evaluated using a sample .evtx file from JPCERT/CC:LogonTracer (approx. 30MB of binary data).
$ time uv run evtx2es Security.evtx
Currently Importing Security.evtx.
1it [00:08, 8.09s/it]
Bulk import completed: 1 batches processed
Successfully indexed: 62031 documents
Import completed.
________________________________________________________
Executed in 8.60 secs fish external
usr time 4.85 secs 481.00 micros 4.85 secs
sys time 0.40 secs 0.00 micros 0.40 secs
Running Environment
OS: Ubuntu 20.04 (Dev Container on WSL2)
CPU: Intel Core i5-12400F
RAM: DDR4 32GB
The tests were conducted within the provided development container, pushing data into a local Elasticsearch 9.0.2 Docker container.
Installation
From PyPI
$ pip install evtx2es
With uv
$ uv add evtx2es
From GitHub Releases
Standalone binaries built with Nuitka are available from GitHub Releases for systems without a Python environment.
$ chmod +x ./evtx2es
$ ./evtx2es {{options...}}
> evtx2es.exe {{options...}}
Contributing
The source code for evtx2es is hosted on GitHub: https://github.com/sumeshi/evtx2es. Please report issues and feature requests. :sushi: :sushi: :sushi:
Included in
- Tsurugi Linux [Lab] — included in releases from 2022 to 2026
- Drift Linux Fast/Fast XS — included in 2026 releases
Thank you for your interest in evtx2es!
License
Released under the MIT License.
Third-party licenses
The standalone binaries distributed via GitHub Releases may bundle the following third-party libraries. These libraries remain under their original licenses.
Apache-2.0
- elasticsearch-py / elasticsearch — licensed under the Apache License 2.0.
- Bundled version:
elasticsearch==9.4.1 - License text: https://github.com/elastic/elasticsearch-py/blob/main/LICENSE
- Bundled version:
MIT
-
evtx / pyevtx-rs — licensed under the MIT License.
- Bundled version:
evtx==0.11.1 - License text: https://github.com/omerbenamram/pyevtx-rs/blob/master/pyproject.toml
- Bundled version:
-
urllib3 — licensed under the MIT License.
- Bundled version:
urllib3==2.6.3 - License text: https://github.com/urllib3/urllib3/blob/main/LICENSE.txt
- Bundled version:
Apache-2.0 OR MIT, with MPL-2.0 components
- orjson — licensed under Apache-2.0 OR MIT, and contains source code licensed under MPL-2.0.
- Bundled version:
orjson==3.11.9 - License text:
- Bundled version:
MIT and MPL-2.0
- tqdm — licensed under MIT, with MPL-2.0-covered files/components.
- Bundled version:
tqdm==4.67.3 - License text: https://github.com/tqdm/tqdm/blob/master/LICENCE
- Bundled version:
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