# ffuf/ffuf

Fast web fuzzer written in Go

Repository: https://github.com/ffuf/ffuf
Canonical: https://ross.abutalabs.com/products/ffuf
Language: Go
License: MIT
License Family: permissive
Topics: fuzzer, pentesting, infosec, web
Last push: 2026-08-20T06:36:16+00:00

## Health v2 (maintenance only)
Score: 97/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 93, longevity 100
- inputs: {"age_days": 2855, "days_push": 13, "days_rel": 51, "gap_med": 2, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 16593, forks 1595 (observed 2026-08-28T04:11:16.774219+00:00)

## What it is
ffuf is a fast web fuzzer written in Go used for discovering directories, virtual hosts, and parameters by brute-forcing HTTP requests. It supports wordlist-based fuzzing of URLs, headers, GET/POST data, and external mutators.

## Use cases
- brute-force hidden directories and files on a web server
- discover virtual hosts without DNS records
- fuzz GET and POST parameters for hidden values
- enumerate subdomains via Host header fuzzing
- test web endpoints with custom wordlists during a pentest

## When to choose
- you need a fast, scriptable CLI fuzzer for web content discovery
- you want a mature, widely used tool with active releases and community guides
- you need flexible fuzzing of URLs, headers, and request bodies

## When to avoid
- you need a GUI-based vulnerability scanner
- you want automated exploitation rather than fuzzing/discovery
- you need application-layer DAST scanning with vulnerability detection logic

## Facets
- artifact type: cli-tool
- maturity: stable
- function: penetration-testing, http-client, web-scraping
- domain: security, penetration-testing, web-development
- platform: windows, cli, cross-platform
- tags: fuzzer, content-discovery, vhost-discovery, parameter-fuzzing, directory-bruteforce, pentesting, command-line, linux, macos

## Member repositories
- ffuf/ffuf (main) score 97

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:16.774219+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 2026-08-29T17:04:51.456002+00:00, confidence not recorded.
  - readme: https://github.com/ffuf/ffuf (fetched 2026-08-28T04:11:16.774219+00:00, sha f9e2c2b5e493)
- Data as of 2026-08-30T08:39:29.467469+00:00.