Do you have a PCAP full of WiFi data and want to make sense of it? This is the tool for you. Originally developed under contract for University of Southeast Norway, ViFi visualizes metadata from nearby WiFi-networks and devices. ViFi takes packets from a PCAP, an interface or all interfaces and extracts information from them to find relationships.
- Python 3.6 or higher, might with earlier versions (python3)
- Python pip for (python3-pip)
- neo4j (Tested using neo4j:latest docker image)
- Python packages listed in requirements.txt (pip3 install -r requirements.txt)
python3 vifi.py test.cap # Load data from one PCAP
python3 vifi.py *.cap # Load data from all PCAPs in folder
python3 vifi.py wlan0 # Load data from wlan0 (must be in monitor mode and on the correct channel)
MATCH (n:network)
RETURN n
MATCH p=()-[:`WIFI/MGMT/PROBE_REQUEST`]->()
RETURN p
MATCH p=()-[:`WIFI/MGMT/BEACON`]->()
RETURN p
MATCH p=(:identity)--()
RETURN p
Note: This is likely to reveal email-addresses
MATCH p=()-[:`ARP/IS_AT`]-()-[:`ARP/WHO_HAS`]-()
RETURN p