LibFuzzer

LibFuzzer

LLVM Project
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About

Defensics Fuzz Testing is a comprehensive, versatile, automated black box fuzzer that enables organizations to efficiently and effectively discover and remediate security weaknesses in software. The generational fuzzer takes an intelligent, targeted approach to negative testing. Advanced file and protocol template fuzzers enable users to build their own test cases. The SDK allows expert users to use the Defensics framework to develop their own test cases. Defensics is a black box fuzzer, meaning it doesn’t require source code to run. With Defensics, users can secure their cyber supply chain to ensure the interoperability, robustness, quality, and security of software and devices before introducing them into IT or lab environments. Defensics fits nearly any development workflow, whether in a traditional SDL or CI environment. Its API and data export capabilities also enable it to integrate with surrounding technologies, making it a true plug-and-play fuzzer.

About

LibFuzzer is an in-process, coverage-guided, evolutionary fuzzing engine. LibFuzzer is linked with the library under test, and feeds fuzzed inputs to the library via a specific fuzzing entry point (or target function); the fuzzer then tracks which areas of the code are reached, and generates mutations on the corpus of input data in order to maximize the code coverage. The code coverage information for libFuzzer is provided by LLVM’s SanitizerCoverage instrumentation. LibFuzzer is still fully supported in that important bugs will get fixed. The first step in using libFuzzer on a library is to implement a fuzz target, a function that accepts an array of bytes and does something interesting with these bytes using the API under test. Note that this fuzz target does not depend on libFuzzer in any way so it is possible and even desirable to use it with other fuzzing engines like AFL and/or Radamsa.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Not Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers in search of a tool to identify defects and zero-day vulnerabilities in services and protocols​

Audience

Users requiring a fuzzing engine to analyze their code and applications

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Black Duck
Founded: 2002
United States
www.blackduck.com/fuzz-testing.html

Company Information

LLVM Project
Founded: 2003
llvm.org/docs/LibFuzzer.html

Alternatives

LibFuzzer

LibFuzzer

LLVM Project

Alternatives

afl-unicorn

afl-unicorn

Battelle
Atheris

Atheris

Google
Atheris

Atheris

Google
Jazzer

Jazzer

Code Intelligence
Honggfuzz

Honggfuzz

Google
Honggfuzz

Honggfuzz

Google

Categories

Fuzz Testing Supported

Categories

Fuzz Testing Supported

Integrations

Atheris Not Supported
C Not Supported
C++ Not Supported
ClusterFuzz Not Supported
Fuzzbuzz Not Supported
Google ClusterFuzz Not Supported
Jazzer Not Supported
otto-js Supported

Integrations

Atheris Supported
C Supported
C++ Supported
ClusterFuzz Supported
Fuzzbuzz Supported
Google ClusterFuzz Supported
Jazzer Supported
otto-js Not Supported
Claim Defensics Fuzz Testing and update features and information
Claim Defensics Fuzz Testing and update features and information
Claim LibFuzzer and update features and information
Claim LibFuzzer and update features and information