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pyevtx-rs

Python bindings for https://github.com/omerbenamram/evtx/.

Installation

Available on PyPi - https://pypi.org/project/evtx/.

To install from PyPi - pip install evtx

Wheels

Wheels are currently automatically built for Python 3.7+ using abi3 tag (which means they are compatible with all version from 3.7 onwards).

Supported platforms are:

  • Linux x86_64
  • macOS x86_64
  • macOS arm64 (m1)
  • Windows x86_64

Installation from sources

Installation is possible for other platforms by installing from sources.

This requires a Rust compiler and a recent enough Setuptools and Pip.

Run pip install -e .

Usage

The API surface is currently fairly limited (only yields events as XML/JSON documents), but is planned to be expanded in the future.

This will print each record as an XML string.

from evtx import PyEvtxParser


def main():
    parser = PyEvtxParser("./samples/Security_short_selected.evtx")
    for record in parser.records():
        print(f'Event Record ID: {record["event_record_id"]}')
        print(f'Event Timestamp: {record["timestamp"]}')
        print(record['data'])
        print(f'------------------------------------------')

And this will print each record as a JSON string.

from evtx.parser import PyEvtxParser


def main():
    parser = PyEvtxParser("./samples/Security_short_selected.evtx")
    for record in parser.records_json():
        print(f'Event Record ID: {record["event_record_id"]}')
        print(f'Event Timestamp: {record["timestamp"]}')
        print(record['data'])
        print(f'------------------------------------------')

File-like objects are also supported.

from evtx.parser import PyEvtxParser


def main():
    a = open("./samples/Security_short_selected.evtx", 'rb')

    # io.BytesIO is also supported.
    parser = PyEvtxParser(a)
    for record in parser.records_json():
        print(f'Event Record ID: {record["event_record_id"]}')
        print(f'Event Timestamp: {record["timestamp"]}')
        print(record['data'])
        print(f'------------------------------------------')

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  • Rust 72.2%
  • Python 23.4%
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