Analysis updated 2026-06-24
Stress test your own server to find rate-limit gaps
Study Layer 4 and Layer 7 flood patterns for defensive research
Validate that a WAF or CDN blocks common flood signatures
| matrixtm/mhddos | hugohe3/ppt-master | wkentaro/labelme | |
|---|---|---|---|
| Stars | 15,877 | 15,886 | 15,868 |
| Language | Python | Python | Python |
| Setup difficulty | moderate | easy | easy |
| Complexity | 3/5 | 2/5 | 2/5 |
| Audience | researcher | vibe coder | researcher |
Figures from each repo's GitHub metadata at analysis time.
Needs Python 3 plus a proxy list and explicit authorization from the target owner, unauthorized use is illegal in most jurisdictions.
MHDDoS is a Python script that performs DDoS (Distributed Denial of Service) attacks, a technique where a target website or server is flooded with so many requests that it becomes slow or completely unavailable. The tool offers 57 different attack methods organized into two categories: Layer 7 (targeting the web application itself with requests like HTTP floods, bypassing services like Cloudflare, DDoS Guard, and Google Shield) and Layer 4 (targeting lower-level network traffic with techniques like TCP, UDP, and SYN floods). Layer 7 attacks mimic web browser behavior to overwhelm a site, while Layer 4 attacks target the raw network connection. The tool also supports auto-proxy usage, meaning it can route attack traffic through other servers to mask the source. The README itself notes: "Please Don't Attack websites without the owner's consent." This tool is written in Python 3 and is generally used in the context of cybersecurity research, stress testing your own infrastructure for resilience, or, when done without permission, as a malicious attack tool. Using it against websites or servers you do not own or have explicit permission to test is illegal in most jurisdictions.
A Python script that bundles many network and HTTP flood techniques for authorized stress testing and security research, running it against systems without consent is illegal.
Mainly Python. The stack also includes Python.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
Verify against the repo before relying on details.