trex-core site

Netzob: Protocol Reverse Engineering, Modeling and Fuzzing

This script generates traffic for websites using a Tor Proxy Pool or any proxy server for which you desire

Linux CLI Ethernet and MPLS Testing Tool

Give your blog some traffic ;)

A multi-threaded network load generator/sinker

Simple Go program that makes HTTP request constantly in order to generate random HTTP/DNS traffic noise

Traffic generator for PCRF server within LTE network

Simulates web page requests (traffic) to a list of URLs. May also simulate different browsers, countries and visitor read times.

VPP project, Newnet@TelecomParisTech

Simulates upload traffic for servers, particularly useful for Iranian data centers, using speedtest.net servers. Includes setup as a Linux service.

Traffic generator service that can be deployed on Heroku

Spinneret is a web spider and dynamic load generator for testing, benchmarking, and warming caches.

Benchmarking setup for plotting latency and jitter using TRex for traffic generation and DPDK for hardware acceleration.

A lightweight JavaScript tool that reads a list of URLs from a JSON file and automatically submits each URL to hundreds of backlink sources in the background. Boost SEO with silent backlink generation and link pinging for multiple sites or videos without disrupting users.

NetworkAssaultToolkit is a versatile Python-based tool designed for stress-testing network endpoints and launching Layer 7 HTTP attacks. The tool includes various methods to simulate large-scale attacks on network infrastructure, including methods for bypassing Cloudflare, OVH, and other security measures.

Examples - ByteBlower Test Python Framework

AI Traffic Blaster Review. AI Traffic Blaster is a comprehensive software solution that simplifies traffic acquisition for online marketers. It integrates with 30 lesser-known traffic sources, allowing users to reach a massive audience of potential buyers.

End-to-end O-RAN Near-RT RIC testbed with srsRAN + Open5GS, KPM Style 5 xApps, experiment generator, and cascaded ML for malicious UE detection.

This was a semester-long project from my Software Engineering course. It's a laser tag system that uses PostgreSQL for the back-end and Tkinter for the front-end.