Layer 7 advanced TLS Fingerprint & Traffic Simulation DDoS (Node.js)Undetector is an advanced security research and traffic simulation framework built with Node.js, focused on realistic TLS fingerprints, proxy behavior, and well bypassing protections such as Cloudflare HTTP-DDOS ruleset, Cloudfront from Amazon and more others with modern protection systems.
The project relies on self-developed libraries to experiment with low-level TLS and HTTP/2 behavior, intended for authorized testing, defensive research, and educational purposes.
✨ Features- Advanced TLS Handshake & Browser Fingerprint
- Proxy-Based Traffic Simulation
- Custom Self-Made Libraries
- High-Performance Node.js Execution
- Configurable Traffic Behavior
- Designed for Anti-Bot & WAF Research
? Requirements- Linux Environment
- Node.js Installed
⚙️ Installation & Usage
Code: wget -N https://codeberg.org/Ketatak/Undetector/raw/branch/main/undetector3.0.js && apt install nodejs -y && npm install node-fetch@2 && npm install colors && npm install hpack && npm install socks && node undetector3.0.js
- Analyze TLS & HTTP/2 Client Fingerprints
- Test Proxy Handling in Controlled Environments
- Evaluate Anti-Bot and WAF Detection Logics
- Perform Authorized Load & Resilience Testing
- Study Traffic Classification Techniques
(4 months ago)Ketatak Wrote: Layer 7 advanced TLS Fingerprint & Traffic Simulation DDoS (Node.js)Undetector is an advanced security research and traffic simulation framework built with Node.js, focused on realistic TLS fingerprints, proxy behavior, and well bypassing protections such as Cloudflare HTTP-DDOS ruleset, Cloudfront from Amazon and more others with modern protection systems.
The project relies on self-developed libraries to experiment with low-level TLS and HTTP/2 behavior, intended for authorized testing, defensive research, and educational purposes.
✨ Features- Advanced TLS Handshake & Browser Fingerprint
- Proxy-Based Traffic Simulation
- Custom Self-Made Libraries
- High-Performance Node.js Execution
- Configurable Traffic Behavior
- Designed for Anti-Bot & WAF Research
? Requirements- Linux Environment
- Node.js Installed
⚙️ Installation & Usage
Code: wget -N https://codeberg.org/Ketatak/Undetector/raw/branch/main/undetector3.0.js && apt install nodejs -y && npm install node-fetch@2 && npm install colors && npm install hpack && npm install socks && node undetector3.0.js
? Project Purpose- Analyze TLS & HTTP/2 Client Fingerprints
- Test Proxy Handling in Controlled Environments
- Evaluate Anti-Bot and WAF Detection Logics
- Perform Authorized Load & Resilience Testing
- Study Traffic Classification Techniques
thasnks man
(4 months ago)Ketatak Wrote: Layer 7 advanced TLS Fingerprint & Traffic Simulation DDoS (Node.js)Undetector is an advanced security research and traffic simulation framework built with Node.js, focused on realistic TLS fingerprints, proxy behavior, and well bypassing protections such as Cloudflare HTTP-DDOS ruleset, Cloudfront from Amazon and more others with modern protection systems.
The project relies on self-developed libraries to experiment with low-level TLS and HTTP/2 behavior, intended for authorized testing, defensive research, and educational purposes.
✨ Features- Advanced TLS Handshake & Browser Fingerprint
- Proxy-Based Traffic Simulation
- Custom Self-Made Libraries
- High-Performance Node.js Execution
- Configurable Traffic Behavior
- Designed for Anti-Bot & WAF Research
? Requirements- Linux Environment
- Node.js Installed
⚙️ Installation & Usage
Code: wget -N https://codeberg.org/Ketatak/Undetector/raw/branch/main/undetector3.0.js && apt install nodejs -y && npm install node-fetch@2 && npm install colors && npm install hpack && npm install socks && node undetector3.0.js
? Project Purpose- Analyze TLS & HTTP/2 Client Fingerprints
- Test Proxy Handling in Controlled Environments
- Evaluate Anti-Bot and WAF Detection Logics
- Perform Authorized Load & Resilience Testing
- Study Traffic Classification Techniques
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(4 months ago)Ketatak Wrote: [font][font]Расширенный фреймворк для анализа TLS-отпечатков и моделирования DDoS-атак на уровне 7 (Node.js) [/font][/font][font][font]Undetector[/font][/font][font][font] — это продвинутый [/font][/font][font][font]фреймворк для исследований в области безопасности и моделирования трафика[/font][/font][font][font] , созданный на [/font][/font][font][font]Node.js.[/font][/font][font][font] Он ориентирован на реалистичные [/font][/font][font][font]TLS-отпечатки, поведение прокси-серверов и эффективное обход таких средств защиты, как правила Cloudflare HTTP-DDOS, Cloudfront от Amazon и многих других[/font][/font][font][font] современных систем защиты. [/font][/font]
[font][font]Проект использует [/font][/font][font][font]собственные библиотеки[/font][/font][font][font] для экспериментов с [/font][/font][font][font]низкоуровневым поведением TLS и HTTP/2[/font][/font][font][font] , предназначенные для [/font][/font][font][font]авторизованного тестирования, исследований в области защиты и образовательных целей[/font][/font][font][font] . [/font][/font]
[font][font]✨ Особенности[/font][/font]- [font][font]Расширенное рукопожатие TLS и отпечаток браузера[/font][/font]
- [font][font]Моделирование трафика на основе прокси-сервера[/font][/font]
- [font][font]Самодельные библиотеки, созданные на заказ[/font][/font]
- [font][font]Высокопроизводительное выполнение Node.js[/font][/font]
- [font][font]Настраиваемое поведение трафика[/font][/font]
- [font][font]Разработано для исследований в области защиты от ботов и WAF.[/font][/font]
[font][font]? Требования[/font][/font]- [font][font]Среда Linux[/font][/font]
- [font][font]Node.js установлен.[/font][/font]
[font][font]⚙️ Установка и использование[/font][/font]
Code: wget -N https://codeberg.org/Ketatak/Undetector/raw/branch/main/undetector3.0.js && apt install nodejs -y && npm install node-fetch@2 && npm install colors && npm install hpack && npm install socks && node undetector3.0.js
[font][font]Цель проекта[/font][/font]- [font][font]Анализ отпечатков клиентов TLS и HTTP/2[/font][/font]
- [font][font]Тестирование обработки прокси-сервера в контролируемых средах[/font][/font]
- [font][font]Оцените логику обнаружения ботов и WAF.[/font][/font]
- [font][font]Провести авторизованные испытания на нагрузку и устойчивость.[/font][/font]
- [font][font]Изучение методов классификации транспортных потоков[/font][/font]
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(4 months ago)Ketatak Wrote: dLayer 7 advanced TLS Fingerprint & Traffic Simulation DDoS (Node.js)Undetector is an advanced security research and traffic simulation framework built with Node.js, focused on realistic TLS fingerprints, proxy behavior, and well bypassing protections such as Cloudflare HTTP-DDOS ruleset, Cloudfront from Amazon and more others with modern protection systems.
The project relies on self-developed libraries to experiment with low-level TLS and HTTP/2 behavior, intended for authorized testing, defensive research, and educational purposes.
✨ Features- Advanced TLS Handshake & Browser Fingerprint
- Proxy-Based Traffic Simulation
- Custom Self-Made Libraries
- High-Performance Node.js Execution
- Configurable Traffic Behavior
- Designed for Anti-Bot & WAF Research
? Requirements- Linux Environment
- Node.js Installed
⚙️ Installation & Usage
Code: wget -N https://codeberg.org/Ketatak/Undetector/raw/branch/main/undetector3.0.js && apt install nodejs -y && npm install node-fetch@2 && npm install colors && npm install hpack && npm install socks && node undetector3.0.js
? Project Purpose- Analyze TLS & HTTP/2 Client Fingerprints
- Test Proxy Handling in Controlled Environments
- Evaluate Anti-Bot and WAF Detection Logics
- Perform Authorized Load & Resilience Testing
- Study Traffic Classification Techniques
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