matrixtm/mhddos

Best DDoS Attack Script Python3, (Cyber / DDos) Attack With 56 Methods

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Summary Information

Updated 37 minutes ago
Added to GitGenius on September 3rd, 2026
Created on October 13th, 2020
Open Issues & Pull Requests: 2 (+0)
GitHub issues: Enabled
Number of forks: 3,615
Total Stargazers: 16,667 (+0)
Total Subscribers: 198 (+0)

Repository Insights (GitGenius)

Median issue/PR response: N/A
Mean response time: 46.5 hours
90th percentile: 33.8 hours
Tracked items: 47

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 14% of issues opened in the past year have been closed. Three people close 82% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 2
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 234 days
Stale 30+ days: 2
Stale 90+ days: 1

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (20)
  • enhancement (9)
  • waiting (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

MHDDoS is a distributed denial-of-service testing toolkit written in Python that implements multiple attack methods across network layers.

The tool addresses the need for authorized stress testing and security assessment by providing a collection of attack techniques. It operates across different network layers, including Layer 7 application-level methods, and incorporates features for proxy rotation and bypass techniques against common content delivery and protection services. The toolkit is designed to work with distributed attack scenarios and includes utility commands alongside its core attack methods.

Adoption is appropriate only for authorized security testing on infrastructure you own or have explicit written permission to test. The project is positioned for penetration testers, security researchers, and system administrators conducting legitimate security assessments. The README emphasizes that the tool is free and warns against scams claiming to sell it, and it explicitly restricts use to authorized testing and educational purposes only.

The project shows active maintenance with regular commits to the main branch. Issues are tracked and addressed through the repository's issue system. The codebase is organized to support multiple attack methodologies and includes Docker deployment options for distributed testing scenarios.