# xmendez/wfuzz

Web application fuzzer

Repository: https://github.com/xmendez/wfuzz
Canonical: https://ross.abutalabs.com/products/wfuzz
Homepage: http://wfuzz.io
Language: Python
License: GPL-2.0
License Family: copyleft
Last push: 2026-01-21T15:31:40+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 63, release rhythm 34, longevity 100
- inputs: {"age_days": 4333, "days_push": 224, "days_rel": 224, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6558, forks 1398 (observed 2026-08-28T04:09:45.180799+00:00)

## What it is
Wfuzz is a Python-based command-line web application fuzzer that replaces a FUZZ keyword in HTTP requests with values from configurable payloads. It supports fuzzing parameters, headers, directories, forms, and authentication, and includes a plugin-based vulnerability scanner.

## Use cases
- brute-force directories and files on a web server
- fuzz HTTP parameters to find injection vulnerabilities
- discover hidden endpoints during a web app pentest
- brute-force login forms and authentication
- fuzz HTTP headers for security testing
- replay and modify requests captured from Burp Suite

## When to choose
- you need a scriptable CLI fuzzer for web security assessments
- you want to inject payloads into any part of an HTTP request
- you prefer a modular Python tool you can extend with plugins

## When to avoid
- you need a modern actively developed alternative like ffuf or feroxbuster
- you want a GUI web vulnerability scanner
- you need non-HTTP protocol fuzzing

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: penetration-testing, http-client, security, web-scraping
- domain: security, penetration-testing, web-development
- platform: python, cli, windows
- tags: web-fuzzer, fuzzing, wordlists, burp-suite, vulnerability-scanning, http-requests, command-line, linux, macos, docker

## Member repositories
- xmendez/wfuzz (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:45.180799+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 2026-08-29T17:44:03.988992+00:00, confidence not recorded.
  - readme: https://github.com/xmendez/wfuzz (fetched 2026-08-28T04:09:45.180799+00:00, sha ec46b0c20db9)
  - homepage: http://wfuzz.io (fetched 2026-08-29T08:40:26.984812+00:00, sha 29d49cd4c854)
- Data as of 2026-08-30T08:39:29.467469+00:00.