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About

Our platform uses various security techniques, including coverage-guided and feedback-based fuzz testing, to automatically generate millions of test cases that trigger hard-to-find bugs deep within your application. This white-box approach protects against edge cases and speeds up development. Advanced fuzzing engines generate inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Uncover true vulnerabilities only. Get the input and stack trace as proof, so you can reliably reproduce errors every time. AI white-box testing uses data from all previous test runs to continuously learn the inner-workings of your application, triggering security-critical bugs with increasingly high precision.

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

Developers interested in an automated application security solution

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

No information available.
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

Code Intelligence
Germany
www.code-intelligence.com

Company Information

Google
United States
github.com/google/AFL

Alternatives

go-fuzz

go-fuzz

dvyukov

Alternatives

afl-unicorn

afl-unicorn

Battelle
Mayhem

Mayhem

ForAllSecure
LibFuzzer

LibFuzzer

LLVM Project
LibFuzzer

LibFuzzer

LLVM Project
Honggfuzz

Honggfuzz

Google
CI Fuzz

CI Fuzz

Code Intelligence
Atheris

Atheris

Google
Sulley

Sulley

OpenRCE

Categories

Categories

Application Security Features

Analytics / Reporting
Open Source Component Monitoring
Source Code Analysis
Third-Party Tools Integration
Training Resources
Vulnerability Detection
Vulnerability Remediation

Integrations

C
C++
Go
Java
CLion
CircleCI
FreeBSD
GitHub
GitLab
JUnit
Kubernetes
NetBSD
Objective-C
OpenBSD
Python
QEMU
Rust
Vim
Visual Basic
Visual Studio

Integrations

C
C++
Go
Java
CLion
CircleCI
FreeBSD
GitHub
GitLab
JUnit
Kubernetes
NetBSD
Objective-C
OpenBSD
Python
QEMU
Rust
Vim
Visual Basic
Visual Studio
Claim Code Intelligence and update features and information
Claim Code Intelligence and update features and information
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Claim american fuzzy lop and update features and information