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What is go-fuzz?

Go-fuzz is a specialized fuzzing tool that utilizes coverage guidance to effectively test Go packages, making it particularly adept at handling complex inputs, whether they are textual or binary. This type of testing is essential for fortifying systems that must manage data from potentially unsafe sources, such as those arising from network interactions. Recently, go-fuzz has rolled out preliminary support for fuzzing Go Modules, encouraging users to report any issues they experience along with comprehensive details. The tool creates random input data, which is frequently invalid, and if a function returns a value of 1, it prompts the fuzzer to prioritize that input for subsequent tests, though it should not be included in the corpus, even if it reveals new coverage; conversely, a return value of 0 indicates the opposite, while other return values are earmarked for future improvements. It is necessary for the fuzz function to be placed within a package recognized by go-fuzz, thus excluding the main package from testing but allowing for the fuzzing of internal packages. This organized methodology not only streamlines the testing process but also enhances the focus on discovering vulnerabilities within the code, ultimately leading to more robust software solutions. By continuously refining its support and encouraging community feedback, go-fuzz aims to evolve and adapt to the needs of developers.

What is Grammatech Proteus?

Proteus stands out as an innovative software testing tool that autonomously identifies and rectifies vulnerabilities while minimizing the risk of false positives, making it ideal for developers, testing organizations, and cybersecurity experts. It effectively uncovers potential threats from malicious files or network data, addressing a wide array of issues documented in the Common Weakness Enumeration (CWE). This adaptable solution caters to both Windows and Linux native binaries, broadening its accessibility across different systems. By adeptly integrating advanced binary analysis and transformation techniques, Proteus not only cuts costs but also enhances the efficiency and efficacy of software testing, reverse engineering, and ongoing maintenance tasks. Its robust features encompass binary analysis, mutational fuzzing, and symbolic execution, all performed without the necessity for source code, and it boasts a high-quality user interface for aggregating and presenting findings. Additionally, it provides sophisticated reporting on exploitability and reasoning, making it a valuable asset for use in both virtualized setups and on physical hardware, which ultimately strengthens security protocols. By guaranteeing thorough coverage of possible vulnerabilities, Proteus empowers teams to fortify their software applications against emerging threats, fostering a more secure digital landscape. Furthermore, the ongoing updates and improvements to its functionalities ensure that users remain equipped to handle future challenges in software security.

Media

Media

Integrations Supported

C++
Rust

Integrations Supported

C++
Rust

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

dvyukov

Company Website

github.com/dvyukov/go-fuzz

Company Facts

Organization Name

Grammatech

Company Location

United States

Company Website

www.grammatech.com/cyber-security-solutions/proteus/

Categories and Features

Categories and Features

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

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