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features
design
support

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Description

Boofuzz represents a continuation and enhancement of the established Sulley fuzzing framework. In addition to a variety of bug fixes, Boofuzz emphasizes extensibility and flexibility. Mirroring Sulley, it integrates essential features of a fuzzer, such as rapid data generation, instrumentation, failure detection, and the ability to reset targets after a failure, along with the capability to log test data effectively. It offers a more streamlined installation process and accommodates diverse communication mediums. Furthermore, it includes built-in capabilities for serial fuzzing, as well as support for Ethernet, IP-layer, and UDP broadcasting. The improvements in data recording are notable, providing consistency, clarity, and thoroughness in the results. Users benefit from the ability to export test results in CSV format and enjoy extensible instrumentation and failure detection options. Boofuzz operates as a Python library that facilitates the creation of fuzzer scripts, and setting it up within a virtual environment is highly advisable for optimal performance and organization. This attention to detail and user experience makes Boofuzz a powerful tool for security testing.

Description

Our platform uses a variety of security techniques, including feedback-based fuzz testing and coverage-guided fuzz testing, in order to generate millions upon millions of test cases that trigger difficult-to-find bugs deep in your application. This white-box approach helps to prevent edge cases and speed up development. Advanced fuzzing engines produce inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Only uncover true vulnerabilities. You will need the stack trace and input to prove that you can reproduce errors reliably every time. AI white-box testing is based on data from all previous tests and can continuously learn the inner workings of your application. This allows you to trigger security-critical bugs with increasing precision.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache Maven No 
C No 
C++ No 
CLion No 
CircleCI No 
Docker No 
GitHub No 
GitLab No 
Go No 
Google Sheets Yes 
Gradle No 
JUnit No 
Jira No 
Kubernetes No 
Microsoft Excel Yes 
Python Yes 
Travis CI No 
Vim No 
Visual Basic No 
Visual Studio No 

Integrations

Apache Maven Yes 
C Yes 
C++ Yes 
CLion Yes 
CircleCI Yes 
Docker Yes 
GitHub Yes 
GitLab Yes 
Go Yes 
Google Sheets No 
Gradle Yes 
JUnit Yes 
Jira Yes 
Kubernetes Yes 
Microsoft Excel No 
Python No 
Travis CI Yes 
Vim Yes 
Visual Basic Yes 
Visual Studio Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Boofuzz

Website

boofuzz.readthedocs.io/en/stable/

Vendor Details

Company Name

Code Intelligence

Country

Germany

Website

www.code-intelligence.com

Product Features

Product Features

Application Security

Analytics / Reporting Yes 
Open Source Component Monitoring No 
Source Code Analysis No 
Third-Party Tools Integration No 
Training Resources Yes 
Vulnerability Detection Yes 
Vulnerability Remediation Yes 

Alternatives

Sulley Reviews

Sulley

OpenRCE

Alternatives

Mayhem Reviews

Mayhem

ForAllSecure
LibFuzzer Reviews

LibFuzzer

LLVM Project
go-fuzz Reviews

go-fuzz

dvyukov
CI Fuzz Reviews

CI Fuzz

Code Intelligence
Atheris Reviews

Atheris

Google
LibFuzzer Reviews

LibFuzzer

LLVM Project