Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Defensics Fuzz Testing is a robust and flexible automated black box fuzzer that helps organizations efficiently identify and address vulnerabilities in their software. This generational fuzzer employs a smart, focused methodology for negative testing, allowing users to create custom test cases through advanced file and protocol templates. Additionally, the software development kit (SDK) empowers proficient users to leverage the Defensics framework to craft their own unique test scenarios. Being a black box fuzzer means that Defensics operates without the need for source code, which adds to its accessibility. By utilizing Defensics, organizations can enhance the security of their cyber supply chain, ensuring that their software and devices are interoperable, resilient, high-quality, and secure prior to deployment in IT or laboratory settings. This versatile tool seamlessly integrates into various development workflows, including both traditional Software Development Life Cycle (SDL) and Continuous Integration (CI) environments. Furthermore, its API and data export functions facilitate smooth integration with other technologies, establishing it as a truly plug-and-play solution for fuzz testing. As a result, Defensics not only enhances security but also streamlines the overall software development process.

Description

ClusterFuzz serves as an expansive fuzzing framework designed to uncover security vulnerabilities and stability flaws in software applications. Employed by Google, it is utilized for testing all of its products and acts as the fuzzing engine for OSS-Fuzz. This infrastructure boasts a wide array of features that facilitate the seamless incorporation of fuzzing into the software development lifecycle. It offers fully automated processes for bug filing, triaging, and resolution across multiple issue tracking systems. The system supports a variety of coverage-guided fuzzing engines, optimizing results through ensemble fuzzing and diverse fuzzing methodologies. Additionally, it provides statistical insights for assessing fuzzer effectiveness and monitoring crash incidence rates. Users can navigate an intuitive web interface that simplifies the management of fuzzing activities and crash reviews. Furthermore, ClusterFuzz is compatible with various authentication systems via Firebase and includes capabilities for black-box fuzzing, minimizing test cases, and identifying regressions through bisection. In summary, this robust tool enhances software quality and security, making it invaluable for developers seeking to improve their applications.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Firebase No 
Honggfuzz No 
Jira No 
LibFuzzer No 
american fuzzy lop No 
otto-js Yes 

Integrations

Firebase Yes 
Honggfuzz Yes 
Jira Yes 
LibFuzzer Yes 
american fuzzy lop Yes 
otto-js No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Black Duck

Founded

2002

Country

United States

Website

www.blackduck.com/fuzz-testing.html

Vendor Details

Company Name

Google

Website

github.com/google/clusterfuzz

Product Features

Product Features

Alternatives

Alternatives

LibFuzzer Reviews

LibFuzzer

LLVM Project
ClusterFuzz Reviews

ClusterFuzz

Google
Atheris Reviews

Atheris

Google
Peach Fuzzer Reviews

Peach Fuzzer

Peach Tech