dast-ffuf

name	dast-ffuf
description	Fast web fuzzer for DAST testing with directory enumeration, parameter fuzzing, and virtual host discovery. Written in Go for high-performance HTTP fuzzing with extensive filtering capabilities. Supports multiple fuzzing modes (clusterbomb, pitchfork, sniper) and recursive scanning. Use when: (1) Discovering hidden directories, files, and endpoints on web applications, (2) Fuzzing GET and POST parameters to identify injection vulnerabilities, (3) Enumerating virtual hosts and subdomains, (4) Testing authentication endpoints with credential fuzzing, (5) Finding backup files and sensitive data exposures, (6) Performing comprehensive web application reconnaissance.
version	0.1.0
maintainer	SirAppSec
category	appsec
tags	["dast","fuzzing","web-fuzzer","directory-enumeration","parameter-fuzzing","vhost-discovery","ffuf","reconnaissance"]
frameworks	["OWASP"]
dependencies	{"tools":["ffuf"]}
references	["https://github.com/ffuf/ffuf"]

ffuf - Fast Web Fuzzer

Overview

ffuf is a fast web fuzzer written in Go designed for discovering hidden resources, testing parameters, and performing comprehensive web application reconnaissance. It uses the FUZZ keyword as a placeholder for wordlist entries and supports advanced filtering, multiple fuzzing modes, and recursive scanning for thorough security assessments.

Installation

# Using Go
go install github.com/ffuf/ffuf/v2@latest

# Using package managers
# Debian/Ubuntu
apt install ffuf

# macOS
brew install ffuf

# Or download pre-compiled binary from GitHub releases

Quick Start

Basic directory fuzzing:

# Directory discovery
ffuf -u https://example.com/FUZZ -w /usr/share/wordlists/dirb/common.txt

# File discovery with extension
ffuf -u https://example.com/FUZZ -w wordlist.txt -e .php,.html,.txt

# Virtual host discovery
ffuf -u https://example.com -H "Host: FUZZ.example.com" -w subdomains.txt

Core Workflows

Workflow 1: Directory and File Enumeration

For discovering hidden resources on web applications:

1. Start with common directory wordlist:

   ffuf -u https://target.com/FUZZ \
     -w /usr/share/seclists/Discovery/Web-Content/common.txt \
     -mc 200,204,301,302,307,401,403 \
     -o results.json
   

2. Review discovered directories (focus on 200, 403 status codes)
3. Enumerate files in discovered directories:

   ffuf -u https://target.com/admin/FUZZ \
     -w /usr/share/seclists/Discovery/Web-Content/raft-small-files.txt \
     -e .php,.bak,.txt,.zip \
     -mc all -fc 404
   

4. Use recursive mode for deep enumeration:

   ffuf -u https://target.com/FUZZ \
     -w wordlist.txt \
     -recursion -recursion-depth 2 \
     -e .php,.html \
     -v
   

5. Document findings and test discovered endpoints

Workflow 2: Parameter Fuzzing (GET/POST)

Progress: [ ] 1. Identify target endpoint for parameter testing [ ] 2. Fuzz GET parameter names to discover hidden parameters [ ] 3. Fuzz parameter values for injection vulnerabilities [ ] 4. Test POST parameters with JSON/form data [ ] 5. Apply appropriate filters to reduce false positives [ ] 6. Analyze responses for anomalies and vulnerabilities [ ] 7. Validate findings manually [ ] 8. Document vulnerable parameters and payloads