Wfuzz

LSE toolsLSE toolsWfuzz (254)Wfuzz (254)

Tool and Usage

Project details
LicenseGPLv2
Programming languagePython
AuthorCarlos del Ojo, Christian Martorella
Latest release2.2.11 []

Project health

60
This score is calculated by different factors, like project age, last release date, etc.

Why this tool?

Wfuzz is a fuzzing tool written in Python. Tools like Wfuzz are typically used to test web applications and how they handle both expected as unexpected input.

Usage and audience

Wfuzz is commonly used for application fuzzing, application security, application testing, or web application analysis. Target users for this tool are developers and pentesters.

Features

  • Command line interface
  • Extendable with custom tests and plugins
  • Tool is modular

Example usage and output

********************************************************
* Wfuzz 2.2 - The Web Bruteforcer *
********************************************************

Target: http://testphp.vulnweb.com/FUZZ
Total requests: 950

==================================================================
ID Response Lines Word Chars Request
==================================================================

00022: C=301 7 L 12 W 184 Ch "admin"
00130: C=403 10 L 29 W 263 Ch "cgi-bin"
00378: C=301 7 L 12 W 184 Ch "images"
00690: C=301 7 L 12 W 184 Ch "secured"
00938: C=301 7 L 12 W 184 Ch "CVS"

Total time: 5.519253
Processed Requests: 950
Filtered Requests: 945
Requests/sec.: 172.1247

Tool review and remarks

The review and analysis of this project resulted in the following remarks for this security tool:

Strengths

  • + More than 1000 GitHub stars
  • + The source code of this software is available

Author and Maintainers

Wfuzz is under development by Carlos del Ojo, Christian Martorella. This project is currently maintained by Xavi Mendez.

Installation

Supported operating systems

Wfuzz is known to work on Linux.

Wfuzz alternatives

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Yasuo

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All Wfuzz alternatives

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Related tool information

Definitions

Fuzzing
Fuzzing or fuzz testing is a technique to automatically test software. By providing the software unexpected inputs, the stability is tested. Any crashes or unexpected errors can reveal a weakness in the software.

Related terms