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

American fuzzy lop is a security-oriented fuzzer that employs a novel type of compile-time instrumentation and genetic algorithms to automatically discover clean, interesting test cases that trigger new internal states in the targeted binary. This substantially improves the functional coverage for the fuzzed code. The compact synthesized corpora produced by the tool are also useful for seeding other, more labor or resource-intensive testing regimes down the road. Compared to other instrumented fuzzers, afl-fuzz is designed to be practical, it has a modest performance overhead, uses a variety of highly effective fuzzing strategies and effort minimization tricks, requires essentially no configuration, and seamlessly handles complex, real-world use cases, say, common image parsing or file compression libraries. It's an instrumentation-guided genetic fuzzer capable of synthesizing complex file semantics in a wide range of non-trivial targets.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Users requiring a fuzzing engine to analyze their code and applications

Audience

Developers in search of a tool for testing their apps and evaluate the impact of crashing bugs

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Google
United States
github.com/google/AFL

Alternatives

afl-unicorn

afl-unicorn

Battelle

Alternatives

afl-unicorn

afl-unicorn

Battelle
Atheris

Atheris

Google
LibFuzzer

LibFuzzer

LLVM Project
Jazzer

Jazzer

Code Intelligence
Honggfuzz

Honggfuzz

Google
Honggfuzz

Honggfuzz

Google
Sulley

Sulley

OpenRCE

Categories

Categories

Integrations

C
C++
ClusterFuzz
Google ClusterFuzz
Atheris
FreeBSD
Fuzzbuzz
Go
Java
Jazzer
NetBSD
OCaml
Objective-C
OpenBSD
Python
QEMU
Rust

Integrations

C
C++
ClusterFuzz
Google ClusterFuzz
Atheris
FreeBSD
Fuzzbuzz
Go
Java
Jazzer
NetBSD
OCaml
Objective-C
OpenBSD
Python
QEMU
Rust
Claim LibFuzzer and update features and information
Claim LibFuzzer and update features and information
Claim american fuzzy lop and update features and information
Claim american fuzzy lop and update features and information