A python wrapper for the Kismet database
Project description
Kismet DB abstraction
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.
Project details
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