As cars have become more sophisticated electronically, understanding the CAN bus that forms the backbone of automotive digital systems has become more and more important for hacking cars. Inexpensive microcontroller CAN interfaces have made obtaining the raw CAN bus traffic trivial, but interpreting that traffic can be pretty challenging. In order to more easily visualize CAN traffic, [TJ Bruno] has developed CanoPy, a Python tool for visualizing CAN messages in real time.
A basic PC CAN interface simply dumps the bus’s message traffic into the terminal, while more sophisticated tools organize messages by the address of their intended recipients. Both of these approaches digitally lift the hood and let you examine what your car is thinking, but the wall-of-numbers approach makes finding the patterns that hold the keys to reverse engineering difficult. Automatically plotting the data with CanoPy makes finding correlations much easier, after which the text-based tools can be used to focus in on a few specific addresses.
