Fuzzing using FFUF

Fuzzing using FFUF

What is Fuzzing?

Fuzzing is a security testing technique used to discover vulnerabilities, hidden directories, parameters, and misconfigurations in web applications, APIs, and networks. It works by sending a large number of automated requests with different inputs to analyze how the application responds.

For example, a website might have hidden directories like /admin, /backup, or /config. A fuzzing tool will test different directory names to see if they are there.

How Fuzzing Works

  1. The fuzzing tool sends multiple requests with different inputs.

  2. It analyzes the responses based on status codes, response length, or error messages.

  3. If an unexpected response is found (e.g., 200 OK for a hidden page), it indicates a potential discovery.

Fuzzing is commonly used in penetration testing and bug bounty hunting to find:

  • Hidden directories (e.g., /admin, /backup, /config)

  • Sensitive files (e.g., database.sql, .env, wp-config.php)

  • Unlisted subdomains (e.g., dev.example.com, staging.example.com)

  • Vulnerable parameters (e.g., id=123 → SQL Injection, XSS)

  • Broken authentication mechanisms (e.g., bypassing login pages)


Importance of Fuzzing in Cybersecurity

Fuzzing is very important in cybersecurity because it helps security researchers and ethical hackers find weaknesses before attackers can use them.

Automates the Discovery Process – Instead of manually testing, fuzzing automates scanning, saving time.
Finds Hidden Endpoints & Data – Many web applications have unlisted or forgotten endpoints that fuzzing can uncover.
Helps in Bug Bounty Hunting – Security researchers use fuzzing to find sensitive files or API endpoints missed by developers.
Identifies Security Vulnerabilities – Some fuzzing techniques can reveal potential SQL injection, XSS, or authentication flaws.

Real-World Example

  • A security researcher found a backup file (backup.zip) on a company’s server using fuzzing. The file contained database credentials, leading to a critical bug report. Without fuzzing, this file might have remained undiscovered, posing a major security risk.

Fuzzing is an essential defensive and offensive technique in cybersecurity. Whether used by ethical hackers, penetration testers, or security teams, it significantly enhances security assessment and vulnerability detection.


FFUF as a fuzzing tool

FFUF (Fuzz Faster U Fool) is a fast and flexible fuzzing tool used by security researchers, penetration testers, and bug bounty hunters. It helps find hidden directories, files, subdomains, parameters, and vulnerabilities in web applications by sending many requests with different inputs and checking the responses.

FFUF is known for its high speed, customization options, and advanced filtering features. It lets users send a lot of requests to a target and filter the responses based on status codes, response size, or specific keywords.

It automates sending multiple requests to a target by replacing the keyword FUZZ with words from a set list. By checking the responses, FFUF helps find possible security problems.

Common Use Cases of FFUF

  • Finding Hidden Directories & Files – Locate directories that aren't listed, like /admin or /backup.

  • Subdomain Enumeration – Discover hidden subdomains, such as dev.example.com or staging.example.com.

  • Parameter Discovery – Identify hidden GET/POST parameters that could be vulnerable.

  • Authentication Bypass – Search for ways to bypass login or find open admin panels.

  • Backup & Sensitive File Exposure – Detect publicly available files like .env, .git, or database.sql.

  • Testing for Injection Points – Identify parameters that might be susceptible to SQL Injection (SQLi) or Cross-Site Scripting (XSS).


Benefits of Using FFUF

1. Speed & Efficiency

  • FFUF is designed for fast fuzzing with multithreading, making it much quicker than traditional tools.

2. Flexibility & Customization

  • Supports multiple input sources like directories, subdomains, parameters, headers, and more, and allows custom wordlists to adapt to different types of testing.

3. Advanced Filtering & Result Analysis

FFUF provides powerful filtering options to reduce noise and focus only on useful results:

  • Filter by status codes: -fc 403,404 (ignore forbidden & not found responses).

  • Filter by response size: -fs 5000 (ignore responses with a size of 5000 bytes).

  • Filter by words or lines in response: -fw 10 (ignore responses with 10 words).

4. Support for Different Attack Methods

  • GET & POST request fuzzing

  • Header fuzzing** (e.g., Host, User-Agent)

  • Cookie-based fuzzing** (useful for testing authenticated sessions)

5. Easy Automation & Integration

FFUF allows output in JSON, CSV, or text format, making it easy to integrate with other security tools like Burp Suite, Metasploit, and automation scripts.

6. Open-Source & Actively Maintained

FFUF is free, open-source, and continuously improved by the cybersecurity community.


Installation guide

FFUF can be installed on Linux, macOS, and Windows using different methods. Follow the steps below to install FFUF on your system.

Installing FFUF on Linux/macOS

Method 1: Install via apt (For Debian-based systems like Ubuntu, Kali Linux)

sudo apt update  
sudo apt install ffuf -y

Method 2: Install via Homebrew (For macOS/Linux users with Homebrew installed)

brew install ffuf

Installing FFUF on Windows

Method 1: Using Scoop

scoop install ffuf

Method 2: Using Go

Install Go from golang.org. Run the following command in PowerShell:

go install github.com/ffuf/ffuf/v2@latest

Add the Go binary path to your system environment variables if needed.

Verifying Installation

After installation, check if FFUF is installed correctly by running:

ffuf -h

If the installation was successful, you should see the FFUF help menu displaying available commands.

HTTP OPTIONS:
  -H               Header `"Name: Value"`, separated by colon. Multiple -H flags are accepted.
  -X               HTTP method to use (default: GET)
  -b               Cookie data `"NAME1=VALUE1; NAME2=VALUE2"` for copy as curl functionality.
  -d               POST data
  -recursion       Scan recursively. Only FUZZ keyword is supported, and URL (-u) has to end in it. (default: false)
  -recursion-depth Maximum recursion depth. (default: 0)
  -u               Target URL

MATCHER OPTIONS:
  -mc              Match HTTP status codes, or "all" for everything. (default: 200,204,301,302,307,401,403)
  -ms              Match HTTP response size
  -mr              Match regex pattern in response
  -ml              Match amount of lines in response

FILTER OPTIONS:
  -fc              Filter HTTP status codes from response. Comma separated list of codes and ranges
  -fs              Filter HTTP response size. Comma separated list of sizes and ranges
  -fr              Filter regex pattern in response
  -fl              Filter by number of lines in response

INPUT OPTIONS:
  -w               Wordlist file path and (optional) keyword separated by colon. eg. '/path/to/wordlist:KEYWORD'
  -request         Load full HTTP request from a file
  -request-proto   Protocol to use along with raw request (default: https)

OUTPUT OPTIONS:
  -o               Write output to file
  -of              Output file format (available: json, ejson, html, md, csv, ecsv)
  -debug-log       Write all of the internal logging to the specified file

Preparing for a Fuzzing Session

Before starting a fuzzing session with FFUF, proper planning is essential. This section covers how to select a target, define objectives, and choose the right wordlists and payloads.

Selecting a Target

Choosing the right target depends on the scope and purpose of fuzzing. Targets can include:

  • Web applications (e.g., finding hidden directories and files)

  • APIs (e.g., fuzzing for endpoints and parameters)

  • Subdomains (e.g., discovering subdomains using wordlists)

Example:
To test for hidden files on a website, you might target:

ffuf -w /path/to/wordlist.txt:FUZZ -u https://www.example.com/FUZZ

Setting Objectives for Fuzzing

Clearly defining objectives helps in selecting the right attack strategy. Common objectives include:

  • Finding hidden directories and files

  • Discovering valid subdomains

  • Testing for vulnerable parameters

  • Identifying misconfigurations or unintended API responses Example:

  • If the goal is finding admin panels, you may use:

ffuf -w /usr/share/wordlists/admin-panels.txt:FUZZ -u https://www.example.com/FUZZ

Choosing Wordlists and Payloads

Wordlists and payloads are critical for effective fuzzing. The selection depends on what you are fuzzing:

TargetType Recommended Wordlists
Directories/Filesdirb, SecLists directory wordlists
Subdomainssubdomains-top1million-5000.txt (SecLists)
Common Parametersparameter-names.txt (SecLists)
Fuzzing APIsCustom API endpoint wordlists

Best Wordlists from SecLists

SecLists is a must-have resource for security professionals. It provides a variety of well-crafted wordlists for penetration testing.

Installing SecLists

  • SecLists can be installed on Kali Linux or manually downloaded:

      bash sudo apt install seclists
    
  • Or clone it from GitHub:

      git clone https://github.com/danielmiessler/SecLists.git
    

Best Wordlists for FFUF

Fuzzing TypeBest SecLists Wordlists
Directories & Files/usr/share/seclists/Discovery/Web-Content/common.txt
Subdomains/usr/share/seclists/Discovery/DNS/subdomains-top1million-5000.txt
API Endpoints/usr/share/seclists/Discovery/Web-Content/api/api-endpoints.txt
Parameters/usr/share/seclists/Discovery/Web-Content/burp-parameter-names.txt
Usernames/usr/share/seclists/Usernames/top-usernames-shortlist.txt
Passwords/usr/share/seclists/Passwords/Common-Credentials/top-passwords.txt