DEF CON 30/Car Hacking Village across years
Caesars Forum, Flamingo, Harrah's, and Linq, Las Vegas · 11-14 August 2022 · 9 talks
Car Hacking Village at DEF CON 30 focuses on automotive cybersecurity, CAN bus reverse engineering, connected car telematics exploitation, ECU fuzzing, and vehicle biometrics.
1–9 of 9 talks
Car Hacking Village·40 min
Kevin2600 · Li Swei
Kevin2600 and Li Swei demonstrate bypassing in-vehicle facial recognition and voiceprint biometric systems to authenticate, start engines, and execute hidden commands.
Car Hacking Village·50 min
Kartheek Lade
Kartheek Lade presents CANalyse 2.0, a vehicle network analysis tool featuring automated dataset filtration, SQL-based log querying, and Telegram bot injection.
Car Hacking Village·30 min
Jay Turla
Jay Turla introduces canTot, a modular command-line framework that consolidates automotive exploits, fuzzers, and CAN bus vulnerability modules in Python.
Car Hacking Village·1 hr 5 min
Evadsnibor
Evadsnibor shows how the DEF CON 30 Car Hacking Village badge uses the Raspberry Pi RP2040 microcontroller to generate interactive CAN waveforms and disrupt vehicle buses.
Car Hacking Village·45 min
David Rogers
David Rogers integrates commercial mileage clocking tools and remote braking overrides into an immersive vehicle simulator rig to safely study cyber-physical attacks.
Car Hacking Village·30 min
Mohammed Shine
Mohammed Shine uncovers broken access controls in Honda Connect APIs, allowing unauthorized attackers to remotely unlock doors, start engines, and honk horns.
Car Hacking Village·45 min
Kamel Ghali
Kamel introduces RFCommotion, an open-source auditing tool for testing Bluetooth RFCOMM virtual serial port services attached to vehicle head units and IoT devices.
Car Hacking Village·40 min
Ayyapan Rajesh
Ayyapan Rajesh details CVE-2022-27254, demonstrating how unencrypted fixed rolling codes in Honda remote keyless entry systems allow replay and vehicle theft.
Car Hacking Village·30 min
Soohwan Oh · Jonghyuk Song · Jeongho Yang
Researchers present smart black-box fuzzing for automotive ECUs, generating protocol-aware UDS CAN testcases and handling recovery without coverage feedback.
