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Average Ratings 0 Ratings
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
American fuzzy lop is a security-focused fuzzer that utilizes a unique form of compile-time instrumentation along with genetic algorithms to automatically generate effective test cases that can uncover new internal states within the targeted binary. This approach significantly enhances the functional coverage of the code being fuzzed. Additionally, the compact and synthesized test cases produced by the tool can serve as a valuable resource for initiating other, more demanding testing processes in the future. Unlike many other instrumented fuzzers, afl-fuzz is engineered for practicality, boasting a minimal performance overhead while employing a diverse array of effective fuzzing techniques and strategies for minimizing effort. It requires almost no setup and can effortlessly manage complicated, real-world scenarios, such as those found in common image parsing or file compression libraries. As an instrumentation-guided genetic fuzzer, it excels at generating complex file semantics applicable to a wide variety of challenging targets, making it a versatile choice for security testing. Its ability to adapt to different environments further enhances its appeal for developers seeking robust solutions.
API Access
Has API
API Access
Has API
Integrations
C
C++
ClusterFuzz
FreeBSD
Go
Google ClusterFuzz
Java
NetBSD
OCaml
Objective-C
Integrations
C
C++
ClusterFuzz
FreeBSD
Go
Google ClusterFuzz
Java
NetBSD
OCaml
Objective-C
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Black Duck
Founded
2002
Country
United States
Website
www.blackduck.com/fuzz-testing.html
Vendor Details
Company Name
Country
United States
Website
github.com/google/AFL