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What is Solidity Fuzzing Boilerplate?

The Solidity Fuzzing Boilerplate acts as a crucial starting point, aimed at streamlining the fuzzing procedure for diverse aspects of Solidity projects, especially libraries. Developers can write their tests once and seamlessly run them with the fuzzing tools provided by both Echidna and Foundry. When different Solidity versions are needed for certain components, these can be easily deployed within a Ganache instance using Etheno. For generating complex fuzzing inputs or performing differential fuzzing by comparing results with non-EVM executables, HEVM's FFI cheat code is a highly effective tool. Furthermore, results from fuzzing experiments can be shared without worrying about licensing implications by adjusting the shell script to pull specific files. If your Solidity contracts will not utilize shell commands, it is wise to disable FFI, as it can slow down processes and should mainly be seen as a workaround. This feature is particularly advantageous when testing intricate implementations that are hard to reproduce in Solidity but can be found in other programming languages. It is crucial to carefully examine the commands executed before initiating tests in projects with FFI enabled, to ensure a thorough understanding of the actions being performed. Maintaining clarity in your testing methodology is vital for upholding the integrity and effectiveness of your fuzzing initiatives, and it ultimately enhances the overall reliability of the project.

What is Ffuf?

Ffuf is an efficient web fuzzer created using Go, enabling users to perform scans on active hosts through various scenarios and lessons, which can be run locally via a Docker container or through a web-based platform. It includes capabilities for virtual host discovery that do not rely on DNS records, enhancing its versatility. To make the most of Ffuf, users are required to supply a wordlist with the desired input values for testing. Multiple wordlists can be utilized by specifying them directly in the command line, and when employing more than one, it is crucial to assign a unique keyword for proper management. Ffuf begins by testing the first entry of the initial wordlist against all entries in the additional wordlist, progressing to the next entry of the first wordlist and continuing this sequence until every possible combination has been examined. This systematic approach guarantees comprehensive testing of potential inputs. Additionally, Ffuf provides a range of options for further tailoring the requests made during the fuzzing process, allowing users to fine-tune their assessments. By taking advantage of these features, users can significantly enhance the effectiveness of their web vulnerability evaluations while gaining deeper insights into their applications' security.

Media

Media

Integrations Supported

Echidna Finance
Etheno
Foundry
Solidity

Integrations Supported

Docker
Go
JSON

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

patrickd

Company Website

github.com/patrickd-/solidity-fuzzing-boilerplate

Company Facts

Organization Name

Ffuf

Company Website

github.com/ffuf/ffuf

Categories and Features

Fuzz Testing

Not specified

SaaS Boilerplates

Not specified

Categories and Features

Fuzz Testing

Not specified

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