LibFuzzer

LibFuzzer

LLVM Project
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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.

About

Thousands of autonomously generated tests run every minute to pinpoint vulnerabilities and guide rapid remediation. Mayhem takes the guesswork out of untested code by autonomously generating test suites that produce actionable results. No need to recompile the code, since Mayhem works with dockerized images. Self-learning ML continually runs thousands of tests per second probing for crashes and defects, so developers can focus on features. Continuous testing runs in the background to surface new defects and increase code coverage. Mayhem delivers a copy/paste reproduction and backtrace for every defect, then prioritizes them based on your risk. See all the results, duplicated and prioritized by what you need to fix now. Mayhem fits into your existing build pipeline and development tools, putting actionable results at your developers' fingertips. No matter what language or tools your team uses.

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

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

Audience

Users requiring a fuzzing engine to analyze their code and applications

Audience

Engineers in need of a solution to find bugs and secure their code

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

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial 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 Supported
Live Online Supported
In Person Not Supported

Company Information

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

Company Information

Mayhem
www.mayhem.security/mayhem-code-security

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Atheris

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Jazzer

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CourtCaseFinder.com

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Honggfuzz

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Categories

Fuzz Testing Supported

Categories

Code Security Supported
Fuzz Testing Supported

Integrations

C Supported
C++ Supported
Ada Not Supported
Atheris Supported
Azure DevOps Not Supported
CircleCI Not Supported
ClusterFuzz Supported
Fortran Not Supported
Fuzzbuzz Supported
GitLab Not Supported
Go Not Supported
Google Chat Not Supported
Google ClusterFuzz Supported
Java Not Supported
Jazzer Supported
MATLAB Not Supported
Python Not Supported
Rust Not Supported
Slack Not Supported
Swift Not Supported

Integrations

C Supported
C++ Supported
Ada Supported
Atheris Not Supported
Azure DevOps Supported
CircleCI Supported
ClusterFuzz Not Supported
Fortran Supported
Fuzzbuzz Not Supported
GitLab Supported
Go Supported
Google Chat Supported
Google ClusterFuzz Not Supported
Java Supported
Jazzer Not Supported
MATLAB Supported
Python Supported
Rust Supported
Slack Supported
Swift Supported
Claim LibFuzzer and update features and information
Claim LibFuzzer and update features and information
Claim Mayhem Code Security and update features and information
Claim Mayhem Code Security and update features and information