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A python wrapper for the Kismet database

Project description

Kismet DB abstraction

Documentation Status

Quickstart

Install with pip install .

In the Python interpreter:

import json
import kismetdb
kismet_log_file = "kismet/database.here"
alerts = kismetdb.Alerts(kismet_log_file)

# Get alert metadata
all_alerts_meta = alerts.get_meta()
for alert in all_alerts_meta:
    print(alert["header"])

# Get payload from all alerts
all_alerts = alerts.get_all()
for alert in all_alerts:
    print(json.loads(alert["json"])["kismet.alert.text"])

Included scripts

Alongside the Python library, several commands are installed:

  • kismet_log_devices_to_json

  • kismet_log_to_csv

  • kismet_log_to_kml

  • kismet_log_to_pcap

Following any of the prior commands with --help will provide details on usage

Testing

In order to test, you must place a kismet sqlite log file at tests/assets/testdata.kismet.

Testing happens in a Docker build process:

Testing for Python 2.7:

docker build .

Testing for Python 3.6:

docker build --build-arg PY_VER=3.6 .

Testing for Python 3.7:

docker build --build-arg PY_VER=3.7 .

Changelog

v4.0.3

Changes

  • Updated docs, added simplekml requirement. [Ash Wilson]

    Closes #8 Closes #7

  • Adding docs to be built by Sphinx. [Ash Wilson]

  • Scripts automatically install with Python package. [Ash Wilson]

    Added generator function yield_rows() to all abstractions.

  • Initial working commit. [Ash Wilson]

    In order to run integration tests, you need a Kismet db at tests/assets/testdata.kismet.

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