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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

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.

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

Users requiring a solution to test their code and identify vulnerabilities in their 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

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

Ffuf
github.com/ffuf/ffuf

Alternatives

go-fuzz

go-fuzz

dvyukov

Alternatives

Mayhem

Mayhem

ForAllSecure
LibFuzzer

LibFuzzer

LLVM Project
Atheris

Atheris

Google
CI Fuzz

CI Fuzz

Code Intelligence
Accent EXCEL Password Recovery

Accent EXCEL Password Recovery

Passcovery Co. Ltd.

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

Docker
Go
C
C++
CLion
CircleCI
GitHub
GitLab
Gradle
JSON
JUnit
Java
JavaScript
Jenkins
Jira
Kubernetes
Travis CI
Vim
Visual Basic
Visual Studio

Integrations

Docker
Go
C
C++
CLion
CircleCI
GitHub
GitLab
Gradle
JSON
JUnit
Java
JavaScript
Jenkins
Jira
Kubernetes
Travis CI
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 Ffuf and update features and information