BeaconGraph v0.69 releases: Graph visualization of wireless client and access point relationships
BeaconGraph is an interactive tool that visualizes client and Access Point relationships. Inspired by airgraph-ng and Bloodhound, it aims to support wireless security auditing. It is written in Python with GUI support by pywebview and a Neo4j backend. Relationship rendering is supported by cytoscape.js and is served by Flask.
Changelog v0.69 (2019-05-15)
- Complete overhaul of BeaconGraph. Now uses Dash Cytoscape as the graph renderer inside of PyQt5 widgets.
- Removed all command line options. Interaction is now done via GUI.
- OUI parsing is now done via https://macaddress.io provided database.
This tool is for
- An audit to verify the access points that portable devices have only connected to approved access points. If a device has an unapproved access point saved (like most users do), it’ll be easy to spot with BeaconGraph and “Probes” edges.
- An audit to look for unauthorized APs in an environment. Granted, there are other tools to assist with this but BeaconGraph provides nice visuals to use in reporting.
git clone https://github.com/daddycocoaman/BeaconGraph.git pip3 install -r requirements.txt sudo apt-get install python3-pip python3-gi python-gi libwebkit2gtk-4.0-dev pip3 install -r requirements-linux-gui.txt pip3 install pywebview[qt5]
./beaconGraph.py <airodump CSV file>
–no-flush: Do NOT delete current database before adding new entries
—manuf: Update the Wireshark OUI Lookup file
—gui: Attempt to launch app in a GUI instead of browser (may not work)
–parse: Parse CSV files into neo4j database without launching app
-a or –airodump-csv: Airodump-ng formatted CSV
Copyright (C) 2019 daddycocoaman