EngineeringApril 22, 2026Updated: April 24, 20267 min read

Introducing Tegufox Browser: A Deep Fingerprint Engine Built on Firefox Gecko

Tegufox is a multi-layer browser fingerprint engine forked from Camoufox (Firefox Gecko). It patches TLS, HTTP/2, WebRTC, hardware APIs, and behavioral patterns at the C++ level — creating browser environments indistinguishable from real users.

L

Lugon

Vibe Engineer

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Introducing Tegufox Browser: A Deep Fingerprint Engine Built on Firefox Gecko

What Is Tegufox?

Tegufox is a deep browser fingerprint engine — forked from Camoufox (Firefox Gecko) — designed to simulate browser environments with such precision that any measurement system returns results indistinguishable from a real user.

The goal is not simply to "fake" a browser. Modern anti-fraud systems have evolved far beyond checking for headless flags. They perform cross-correlation between OS fingerprints, GPU info, fonts, screen metrics, TLS signatures, and behavioral patterns. A spoofed value in one layer while others remain inconsistent is enough to flag a session.

Tegufox solves this by intervening at every layer simultaneously.


Why We Built It

Camoufox already does an excellent job at headless browser bypass. But as anti-fraud systems matured, we kept running into the same wall: cross-layer consistency.

A browser fingerprint isn’t a single value — it’s a fingerprint *system*. Checks include:

  • TLS JA3/JA4 signatures and HTTP/2 SETTINGS frame order
  • WebRTC ICE candidates leaking real IPs through STUN
  • Canvas and WebGL pixel-level hashing correlated across visits
  • Mouse movement patterns analyzed against Fitts’ Law models
  • Font metric inconsistencies between OS and navigator headers
Each of these alone is manageable. Together, they form a fingerprint that’s nearly impossible to fake consistently — unless you patch at the C++ engine level.

Multi-Layer Architecture

Tegufox patches Firefox Gecko at 9 points across 5 layers:

Layer 7: Behavioral
  Mouse neuromotor · Typing rhythm · Scroll momentum

Layer 6: Hardware Fingerprint
WebGL/Canvas noise · Audio Context · Font metrics

Layer 5: Browser Environment
Navigator · Screen · Viewport · Headless masking

Layer 4: Network Protocol
TLS JA3/JA4 · HTTP/2 SETTINGS · ALPN negotiation

Layer 3: Network
WebRTC ICE masking · DNS (DoH/DoT) · STUN leak prevention

All 9 C++ patches are applied at build time — not injected via JavaScript at runtime. This is the key distinction from most browser automation tools. JS-injected spoofs can be detected through prototype chain inspection, timing attacks, and shadow DOM leakage.


Key Features

Fingerprint Consistency Engine

Before launching a session, Tegufox validates cross-layer coherence: OS version ↔ User-Agent, GPU vendor ↔ WebGL renderer, screen resolution ↔ viewport, installed fonts ↔ navigator locale. Inconsistencies are auto-corrected against a profile database.

Neuromotor Mouse

Mouse movement generated using Fitts’ Law with distance-aware trajectory curves and micro-tremor simulation. Movement patterns pass behavioral analysis tools that model human motor control.

TLS/HTTP2 Alignment

JA3/JA4 fingerprints and HTTP/2 SETTINGS frames are matched to the target browser profile. This layer is invisible to JavaScript — it requires network-level inspection to detect — and Tegufox patches it at the socket layer.

Profile Database

SQLite-backed profile store with templates for common browser/OS combinations. Profiles maintain consistency across sessions without manual configuration.

Python API & REST API

from tegufox_automation import TegufoxSession

with TegufoxSession(profile="chrome-120") as session:
session.goto("https://creepjs.com")
session.human_click("#start-test")
session.human_type("#input", "hello world")
session.wait_human(1, 3)

Or via HTTP for language-agnostic integrations:

curl -X POST http://localhost:8080/session/create \
  -H "Content-Type: application/json" \
  -d '{"profile": "chrome-120"}'

Use Cases

  • Web automation and scraping where anti-bot detection is a blocker
  • Privacy research — understanding what data browsers leak
  • Security testing — validating fraud detection and bot detection systems
  • Multi-account management — isolated, consistent browser identities
  • E-commerce automation — checkout flows, inventory monitoring

Project Status

All 5 phases are complete and production-ready:

PhaseDescription
Phase 0Foundation & Research
Phase 1Toolkit & Automation Framework
Phase 2Core C++ Engine Patches (9 patches)
Phase 3Fingerprint Consistency Engine
Phase 4Behavioral Layer (mouse, keyboard, scroll)
Phase 5Ecosystem & API (GUI + CLI + REST)


Getting Started

git clone --recurse-submodules https://github.com/TeguFy/tegufox-browser
cd tegufox-browser
python -m venv venv && source venv/bin/activate
pip install -r requirements.txt
./tegufox-cli launch --profile chrome-120

Tegufox is open source under MPL 2.0. Contributions welcome.

Repository: github.com/TeguFy/tegufox-browser

browser-automationfingerprintingprivacysecurityfirefoxgeckoanti-bot
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Introducing Tegufox Browser: A Deep Fingerprint Engine Built on Firefox Gecko