Skip to content

asez73/canDrive

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

canDrive

Tools for hacking your car. Please concider checking out the tutorials made about this project: https://www.youtube.com/playlist?list=PLNiFaO8hU1z0o_6DSxk-jcVAM3UCUR-pY

I've created this google sheet, so everybody can freely add their decoded IDs and packets, so it's easier for the community to collaborate: https://docs.google.com/spreadsheets/d/1eBKiTwEE6aPnfw2EfSHItLeMz00fJq0Y0L99Ym7fKwU/edit?usp=sharing

Content

  • 01_canSniffer_Arduino: This code runs on your arduino sniffer device and creates an interface between the car and the GUI.
  • 02_canSniffer_GUI: Powerful and easy-to-use graphical sniffer application used for reverse engineering CAN packets.

Description

01_canSniffer_Arduino

This code creates the interface between the car and the canSniffer_GUI application. If the RANDOM_CAN define is set to 1, this code is generating random CAN packets in order to test the higher level code. The received packets will be echoed back. If the RANDOM_CAN define is set to 0, the CAN_SPEED define has to match the speed of the desired CAN channel in order to receive and transfer from and to the CAN bus. Required arduino packages:

  • CAN by Sandeep Mistry (https:github.com/sandeepmistry/arduino-CAN)

Required modifications:

  • MCP2515.h: 16e6 clock frequency reduced to 8e6 (depending on MCP2515 clock)
  • MCP2515.cpp: extend CNF_MAPPER with your desired CAN speeds
02_canSniffer_GUI

Python 3 is required for this project, 3.8 is preferred. This project contains my decoded packets in save/decodedPackets.csv. The required python packages can be installed with:

$ pip install -r requirements.txt

To be uploaded

  • Hardware files for the custom OBD2 module.
  • Firmware projects for the custom OBD2 module.
  • Source code for the mobile application.

Releases

No releases published

Packages

No packages published

Languages

  • Python 83.3%
  • C++ 16.7%