Atheris

Atheris

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About

Atheris is a coverage-guided Python fuzzing engine. It supports fuzzing of Python code, but also native extensions written for CPython. Atheris is based on libFuzzer. When fuzzing native code, Atheris can be used to catch extra bugs. Atheris supports Linux (32- and 64-bit) and Mac OS X, with Python versions 3.6-3.10. It comes with a built-in libFuzzer, which is fine for fuzzing Python code. If you plan to fuzz native extensions, you may need to build from source to ensure the libFuzzer version in Atheris matches your Clang version. Atheris relies on libFuzzer, which is distributed with Clang. Apple Clang doesn't come with libFuzzer, so you'll need to install a new version of LLVM. Atheris is based on a coverage-guided mutation-based fuzzer (LibFuzzer). This has the advantage of not requiring any grammar definition for generating inputs, making its setup easier. The disadvantage is that it will be harder for the fuzzer to generate inputs for code that parses complex data types.

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

Programmers wanting a fuzzing engine solution to find bugs in their 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

Google
github.com/google/atheris

Company Information

Google
United States
github.com/google/AFL

Alternatives

LibFuzzer

LibFuzzer

LLVM Project

Alternatives

afl-unicorn

afl-unicorn

Battelle
Jazzer

Jazzer

Code Intelligence
LibFuzzer

LibFuzzer

LLVM Project
ToothPicker

ToothPicker

Secure Mobile Networking Lab
Honggfuzz

Honggfuzz

Google
go-fuzz

go-fuzz

dvyukov
Sulley

Sulley

OpenRCE

Categories

Categories

Integrations

Python
C
C++
ClusterFuzz
FreeBSD
Go
Google ClusterFuzz
Google OSS-Fuzz
Java
LibFuzzer
NetBSD
OCaml
Objective-C
OpenBSD
QEMU
Rust

Integrations

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