Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Parasoft Reviews & Ratings
    152 Ratings
    Company Website
  • QA Wolf Reviews & Ratings
    273 Ratings
    Company Website
  • MuukTest Reviews & Ratings
    34 Ratings
    Company Website
  • TrustInSoft Analyzer Reviews & Ratings
    6 Ratings
    Company Website
  • AuthorityTech Reviews & Ratings
    2 Ratings
    Company Website
  • Orca Security Reviews & Ratings
    635 Ratings
    Company Website
  • Bluepear Reviews & Ratings
    70 Ratings
    Company Website
  • SDS Manager Reviews & Ratings
    4 Ratings
    Company Website
  • DXcharts Reviews & Ratings
    28 Ratings
    Company Website
  • TIMi Reviews & Ratings
    68 Ratings
    Company Website

What is LibFuzzer?

LibFuzzer is an in-process engine that employs coverage-guided techniques for evolutionary fuzzing. By integrating directly with the library being tested, it injects generated fuzzed inputs into a specific entry point or target function, allowing it to track executed code paths while modifying the input data to improve code coverage. The coverage information is gathered through LLVM’s SanitizerCoverage instrumentation, which provides users with comprehensive insights into the testing process. Importantly, LibFuzzer is continuously maintained, with critical bugs being resolved as they are identified. To use LibFuzzer with a particular library, the first step is to develop a fuzz target; this function takes a byte array and interacts meaningfully with the API under scrutiny. Notably, this fuzz target functions independently of LibFuzzer, making it compatible with other fuzzing tools like AFL or Radamsa, which adds flexibility to testing approaches. Moreover, combining various fuzzing engines can yield more thorough testing results and deeper understanding of the library's security flaws, ultimately enhancing the overall quality of the code. The ongoing evolution of fuzzing techniques ensures that developers are better equipped to identify and address potential vulnerabilities effectively.

What is Defensics Fuzz Testing?

Defensics Fuzz Testing is an advanced and adaptable automated black box fuzzer designed to assist organizations in effectively discovering and resolving software vulnerabilities. This innovative fuzzer utilizes a strategic and focused approach to negative testing, enabling users to develop tailored test cases using sophisticated file and protocol templates. The accompanying software development kit (SDK) provides skilled users the ability to utilize the Defensics framework to design their own distinctive test scenarios. Operating as a black box fuzzer means that Defensics functions independently of source code access, thus increasing its usability. Through the implementation of Defensics, organizations can significantly bolster the security of their cyber supply chain, ensuring that their software and devices are not only interoperable and resilient but also maintain high quality and security before deployment in both IT and laboratory environments. This flexible tool integrates effortlessly into a variety of development processes, including traditional Software Development Life Cycle (SDL) and Continuous Integration (CI) frameworks. In addition, its API and data export capabilities allow for seamless compatibility with other technologies, positioning it as an effective plug-and-play solution for fuzz testing. Ultimately, Defensics enhances security while also optimizing the software development workflow, making it an invaluable asset for organizations aiming to improve their software quality and reliability.

Media

Media

Integrations Supported

Atheris
C
C++
ClusterFuzz
Fuzzbuzz
Google ClusterFuzz
Jazzer

Integrations Supported

otto-js

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Windows
Linux

Supported Platforms

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

LLVM Project

Date Founded

2003

Company Website

llvm.org/docs/LibFuzzer.html

Company Facts

Organization Name

Black Duck

Date Founded

2002

Company Location

United States

Company Website

www.blackduck.com/fuzz-testing.html

Categories and Features

Fuzz Testing

Not specified

Categories and Features

Fuzz Testing

Not specified

Popular Alternatives

afl-unicorn Reviews & Ratings

afl-unicorn

Battelle

Popular Alternatives

LibFuzzer Reviews & Ratings

LibFuzzer

LLVM Project
Atheris Reviews & Ratings

Atheris

Google
Jazzer Reviews & Ratings

Jazzer

Code Intelligence
Atheris Reviews & Ratings

Atheris

Google
Honggfuzz Reviews & Ratings

Honggfuzz

Google