flipper-tesla-fsd — What is it?

This project unlocks Tesla FSD on a Flipper Zero, providing a CAN bus toolkit for FSD features, diagnostics, and customizations, targeting Tesla vehicle owners and enthusiasts.

⭐ 499 Stars 🍴 275 Forks C NOASSERTION Author: hypery11
Source: README View on GitHub →

Why it matters

The project is gaining attention due to its unique ability to unlock FSD functionality on a low-cost device, addressing the need for a cost-effective alternative to proprietary solutions. It stands out with its comprehensive support for various Tesla models and hardware versions, as well as its focus on security features like Ban Shield and TLSSC Restore.

Source: Synthesis of README and project traits

Core Features

FSD Unlock

Enables FSD functionality on Tesla vehicles by manipulating CAN bus frames, supporting various hardware versions and providing a free alternative to expensive proprietary solutions.

Source: README
TLSSC Restore

Recover Traffic Light and Stop Sign Control on VIN-banned vehicles by spoofing DAS config, allowing for some FSD features on restricted cars.

Source: README
Ban Shield

Protects against server-side VIN bans by freezing critical CAN frames, ensuring continued functionality even with updates.

Source: README
Nag Killer

Reduces driver interruptions by manipulating torque and EPAS counters, providing a more seamless driving experience.

Source: README
Diagnostics

Gives access to vehicle diagnostics, including BMS data, vehicle speed, and DAS status, without requiring an FSD subscription.

Source: README

Architecture

The architecture is modular, with separate components for CAN bus handling, FSD features, diagnostics, and settings. It uses a combination of CAN bus manipulation and software-based controls to achieve its functionality. Key technical decisions include support for multiple Tesla models and hardware versions, and a focus on security and stability.

Source: Code tree + dependency files

Project Knowledge Graph

Knowledge graph: project (center) + core features (inner hexagons) + key dependencies (outer chips) Not enough informationNot enough inf… FSD Unlock TLSSC Restore Ban Shield Nag Killer Diagnostics flipper-tesla-fsd Project Core feature Key dependency

Center: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.

Tech Stack

LanguageCFrameworkNot specified
Not enough information
Not specified
Source: Dependency files + code tree

Quick Start

Option 1: Download pre-built FAP from Releases, copy to Flipper's SD card. Option 2: Clone the repository, build with ufbt, and copy the resulting FAP to the Flipper's SD card. ESP32: Clone the repository, navigate to the esp32 directory, and run the appropriate build command.
Source: README Installation/Quick Start

Use Cases

This project is for Tesla vehicle owners and enthusiasts who want to unlock FSD features, recover restricted functionalities, or access vehicle diagnostics without an FSD subscription. It is useful for those looking to customize their Tesla's performance and features.

Source: README

Strengths & Limitations

Strengths

  • Strength 1: Cost-effective alternative to proprietary FSD solutions.
  • Strength 2: Comprehensive support for various Tesla models and hardware versions.
  • Strength 3: Focus on security and stability with features like Ban Shield and TLSSC Restore.

Limitations

  • Limitation 1: Requires an active FSD package for full functionality.
  • Limitation 2: May not support all Tesla models or hardware versions.
  • Limitation 3: Security implications of manipulating CAN bus frames.
Source: Synthesis of README, code structure and dependencies

Latest Release

v2.13.1 (2026-04-25): Bugfixes and settings reorganization.

Source: GitHub Releases

Verdict

The project is worth watching for its innovative approach to unlocking FSD features on a low-cost device, offering a compelling alternative for Tesla owners looking to customize their vehicles. It suits individuals with technical expertise in CAN bus manipulation and Tesla vehicle systems.

Source: Synthesis
Transparency Notice
This page is auto-generated by AI (a large language model) from the following public materials: GitHub README, code tree, dependency files and release notes. Analyzed at: 2026-04-28 01:25. Quality score: 85/100.

Data sources: README, GitHub API, dependency files