Install from PyPI with pip install kismetdb
Install from source with 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"])
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
kismet_log_devices_to_filebeat_json
Following any of the prior commands with --help
will provide details on
usage.
In order to test, you must place a kismet sqlite log file at
tests/assets/testdata.kismet_4
and tests/assets/testdata.kismet_5
,
which are Kismet version 4 and 5 databases, respectively.
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 .