This work was done in collaboration with green, Sherman and Sid.
During the holidays I decided to take some time and try to make my own self driving machine learning models as part of a pipe dream to have an open source self driving car. I hacked this together over the course of about 2 weeks in between holiday activities.
Disclaimer 1: I’m a software engineer on PyTorch but this work was done on my own time and not part of my normal duties.
This is a follow up to Hacking my Tesla Model 3 - Internal API.
As part of reverse engineering the Tesla Model 3 internals, I’ve been running a subset of the CID car services to see how they work.
The car computers are using Intel Atom based processors so it’s easy to setup a chroot to launch the services.
I’ve written two helper scripts to set up the car environment:
This is a follow up to Hacking my Tesla Model 3 - Security Overview.
This is a technical description of all the internal services I’ve found and notes about how they work.
All of these services described are normally unaccessible due to seceth and firewall rules.
Hosts 192.168.90.100 cid ice 192.168.90.100 ic 192.168.90.102 gw 192.168.90.103 ap ape 192.168.90.104 lb 192.168.90.105 ap-b ape-b 192.168.90.30 tuner 192.168.90.60 modem Tuner isn’t present on newer Model 3s as the AM/FM radio has been removed.