# Ha3MrX/DDos-Attack

DDos-Attack Is A Python script online Attack

Repository: https://github.com/Ha3MrX/DDos-Attack
Canonical: https://ross.abutalabs.com/products/ddos-attack
Language: Python
License Family: other
Topics: ddos-attacks
Last push: 2026-03-30T22:27:44+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 74, release rhythm 35, longevity 100
- inputs: {"age_days": 3063, "days_push": 156, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1796, forks 933 (observed 2026-08-28T04:05:37.510250+00:00)

## What it is
A simple Python script for launching DDoS (denial of service) attacks against online targets. It is a command-line tool intended for learning about or testing DDoS techniques.

## Use cases
- run a ddos attack from the command line
- test how my server handles flood traffic
- learn how ddos attack scripts work
- stress test a website with a python script

## When to choose
- you want a minimal, no-dependency Python script for demonstrating DoS attacks in a lab environment
- you are studying offensive security and want a simple reference implementation

## When to avoid
- you need a legitimate load-testing tool with configurable metrics and reporting
- you lack explicit authorization to test the target - using this against systems you don't own is illegal
- you need a maintained project with a license or active development

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: security, networking, cli
- domain: security, penetration-testing, networking
- platform: python, cli
- tags: ddos, dos-attack, python-script, offensive-security, stress-testing, linux

## Member repositories
- Ha3MrX/DDos-Attack (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:37.510250+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:22:47.939616+00:00, confidence not recorded.
  - readme: https://github.com/Ha3MrX/DDos-Attack (fetched 2026-08-28T04:05:37.510250+00:00, sha 13ecdafc3f0c)
- Data as of 2026-08-30T08:39:29.467469+00:00.