Author: digitalpsyko, TheX1le
Version: 1.01
Last modified on: 23/5/2010

• python
• graphviz
• make
• aircrack-ng 1.0 (rc2 or better is recommended)
• psyco is recommended but not mandatory

git clone http://github.com/aircrack-ng/aircrack-ng
cd aircrack-ng
autoreconf -i
./configure
cd scripts/airgraph-ng
make install

• CAPR: Client to AP Relationship. This shows all the clients attached to a particular AP.
• CPG: Common Probe Graph. This will show all probed SSID by clients.

############################################
#         Welcome to Airgraph-ng           #
############################################

Usage: python airgraph-ng -i [airodumpfile.txt] -o [outputfile.png] -g [CAPR OR CPG]

-i      Input File
-o      Output File
-g      Graph Type [CAPR (Client to AP Relationship) OR CPG (Common probe graph)]
-a      Print the about
-h      Print this help

Now that you've got your nifty new program installed, its time to run some airodump-ng CSV files through it so you can see the graphs this program creates. So you have airodump-ng .txt/.csv files to run through airgraph-ng goto your favorite terminal and cd into the directory where you're keeping them.

The following creates a Client to Access point Relationship Graph

airgraph-ng -i demo.csv -o demo.png -g CAPR

The following creates a Client to Probe Request Graph

airgraph-ng -i demo.csv -o demo.png -g CPG

The graph size and the time to generate it depends on the size of your CSV file. So, the more AP's and Clients you get with airodump-ng the bigger the graph it will be.

To combine your airodump-ng .txt/.csv files together simply open up a terminal and cd into the directory where you're keeping them in and then type:

dump-join.py -i <file>.txt <file>.txt <file>.txt -o <outputfilename>.txt  

Now you can take your combined airodump-ng .txt/.csv files and run it through airgraph-ng to make a larger graph.

Starting from aircrack-ng 1.0rc3, .txt files were renamed to .csv.

This is just a warning and you can safely ignore this message. However, it is recommended install psyco because it speeds up execution of python code.