Honggfuzz

Honggfuzz

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About

Honggfuzz is a security-oriented software fuzzer. Supports evolutionary, feedback-driven fuzzing based on code coverage (SW and HW-based). It’s multi-process and multi-threaded, there’s no need to run multiple copies of your fuzzer, as Honggfuzz can unlock the potential of all your available CPU cores with a single running instance. The file corpus is automatically shared and improved between all fuzzed processes. It’s blazingly fast when the persistent fuzzing mode is used. A simple/empty LLVMFuzzerTestOneInput function can be tested with up to 1mo iteration per second on a relatively modern CPU. Has a solid track record of uncovered security bugs, the only (to date) vulnerability in OpenSSL with the critical score mark was discovered by Honggfuzz. As opposed to other fuzzers, it will discover and report hijacked/ignored signals from crashes (intercepted and potentially hidden by a fuzzed program).

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

Anyone requiring a solution to detect coding errors and security vulnerabilities

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

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
United States
github.com/google/honggfuzz

Company Information

Google
United States
github.com/google/AFL

Alternatives

LibFuzzer

LibFuzzer

LLVM Project

Alternatives

afl-unicorn

afl-unicorn

Battelle
LibFuzzer

LibFuzzer

LLVM Project
Honggfuzz

Honggfuzz

Google
Atheris

Atheris

Google
go-fuzz

go-fuzz

dvyukov
Sulley

Sulley

OpenRCE

Categories

Categories

Integrations

ClusterFuzz
FreeBSD
Google ClusterFuzz
NetBSD
C
C++
Cygwin
Go
Java
OCaml
Objective-C
OpenBSD
OpenSSL
Python
QEMU
Rust

Integrations

ClusterFuzz
FreeBSD
Google ClusterFuzz
NetBSD
C
C++
Cygwin
Go
Java
OCaml
Objective-C
OpenBSD
OpenSSL
Python
QEMU
Rust
Claim Honggfuzz and update features and information
Claim Honggfuzz and update features and information
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Claim american fuzzy lop and update features and information