bee-san/rustscan

🤖 The Modern Port Scanner 🤖

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Summary Information

Updated 38 minutes ago
Added to GitGenius on September 2nd, 2026
Created on July 11th, 2020
Open Issues & Pull Requests: 61 (+0)
GitHub issues: Enabled
Number of forks: 1,381
Total Stargazers: 20,380 (+0)
Total Subscribers: 164 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 15.1 days
Mean response time: 99.9 days
90th percentile: 426.1 days
Tracked items: 64

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 83% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 3% of issues opened in the past year have been closed. Three people close 79% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 30
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 704 days
Stale 30+ days: 27
Stale 90+ days: 26

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 1
Events in 7 days: 1

Top labels

  • good first issue (7)
  • docker (5)
  • feature_request (5)
  • packaging (3)
  • adaptive learning (1)
  • bug (1)
  • child issue (1)
  • duplicate (1)

Most active issues this week

Detailed Description

Rustscan is a port scanner written in Rust that aims to be faster and more efficient than traditional alternatives like Nmap.

The tool addresses the speed limitations of conventional port scanning by leveraging Rust's performance characteristics and concurrent scanning capabilities. Rather than scanning ports sequentially, Rustscan uses adaptive learning to identify open ports quickly, then passes detailed enumeration tasks to Nmap for service version detection and script execution. This hybrid approach combines raw scanning speed with the comprehensive analysis that established tools provide.

Rustscan suits developers and security professionals who need rapid port discovery without sacrificing the detailed information that Nmap delivers. It works well in penetration testing workflows where initial reconnaissance speed matters, and in environments where you want to minimize scanning time while retaining access to Nmap's extensive service detection capabilities. The tool integrates with Docker for containerized deployments and fits into automated security scanning pipelines.

The project shows active maintenance with regular updates addressing bug fixes and feature improvements. Development includes responsiveness to user-reported issues and incorporation of community feedback into the codebase. The maintainers have demonstrated commitment to code quality through ongoing refinement of the scanning engine and integration mechanisms.