epi052/feroxbuster

A fast, simple, recursive content discovery tool written in Rust.

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Summary Information

Updated 28 minutes ago
Added to GitGenius on September 8th, 2026
Created on August 22nd, 2020
Open Issues & Pull Requests: 38 (+0)
GitHub issues: Enabled
Number of forks: 633
Total Stargazers: 8,059 (+0)
Total Subscribers: 65 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.0 days
Mean response time: 16.7 days
90th percentile: 52.8 days
Tracked items: 56

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Work labelled "bug" is answered fastest, typically in about 8 hours, while "enhancement" waits about 6 days. Only 7% of issues opened in the past year have been closed. Three people close 92% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 9
New in 7 days: 0
Closed in 7 days: 2
Avg open age: 672 days
Stale 30+ days: 8
Stale 90+ days: 8

Recent activity

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

Top labels

  • enhancement (26)
  • bug (24)
  • pinned (12)
  • stale (11)
  • unconfirmed (3)
  • awaiting-upstream (2)
  • confirmed (2)
  • good first issue (1)

Detailed Description

Feroxbuster is a content discovery tool written in Rust that performs recursive enumeration of web application paths and resources.

The tool addresses the need for fast, automated discovery of hidden or non-obvious content on web servers. It works by sending requests to a target URL using wordlists to brute-force potential paths, then recursively explores discovered directories to uncover additional content. The Rust implementation prioritizes speed and efficiency compared to tools written in interpreted languages.

Feroxbuster suits penetration testers and security researchers who need to map web application structure during reconnaissance. It works well for projects where recursive directory enumeration is central to the assessment workflow. The tool is particularly valuable when speed matters, as Rust's compiled nature and the project's focus on performance make it faster than comparable Python or Go alternatives for this specific task.

The project maintains an active CI pipeline that runs on code changes. Releases are published through multiple distribution channels including GitHub releases, package repositories, and a commercial offering. The codebase has accumulated contributions from multiple developers over time, and the project includes documented examples and a contribution guide for those wishing to participate in development.