LibFuzzer

LibFuzzer

LLVM Project
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About

Ffuf is a fast web fuzzer written in Go. You can also practice your Ffuf scans against a live host with different lessons and use cases either locally by using the Docker container or against the live-hosted version. Provides virtual host discovery (without DNS records). In order to tell Ffuf about different inputs to test out, a wordlist is needed. You can supply one or more wordlists on the command line, and in case you wish (or are using multiple wordlists) you can choose a custom keyword for them. You can supply Ffuf with multiple wordlists (remember to configure a custom keyword for them though). The first word of the first wordlist is tested against all the words from the second wordlist before moving along to test the second word in the first wordlist against all the words in the second wordlist. In short, all of the different combinations are tried out. There are quite a few different ways to customize the request.

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.

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 solution to test their code and identify vulnerabilities in their applications

Audience

Users requiring a fuzzing engine to analyze their code and applications

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

Ffuf
github.com/ffuf/ffuf

Company Information

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

Alternatives

Radamsa

Radamsa

Aki Helin

Alternatives

afl-unicorn

afl-unicorn

Battelle
Atheris

Atheris

Google
Honggfuzz

Honggfuzz

Google
Jazzer

Jazzer

Code Intelligence
BFuzz

BFuzz

RootUp
go-fuzz

go-fuzz

dvyukov
Honggfuzz

Honggfuzz

Google

Categories

Categories

Integrations

Atheris
C
C++
ClusterFuzz
Docker
Fuzzbuzz
Go
Google ClusterFuzz
JSON
Jazzer

Integrations

Atheris
C
C++
ClusterFuzz
Docker
Fuzzbuzz
Go
Google ClusterFuzz
JSON
Jazzer
Claim Ffuf and update features and information
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