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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
ClusterFuzz is an advanced fuzzing platform designed to identify security vulnerabilities and stability problems within software applications. Utilized by Google for all its products, it also serves as the fuzzing backend for OSS-Fuzz. This infrastructure offers a plethora of features that facilitate the integration of fuzzing into the development lifecycle of software projects. It includes fully automated processes for bug filing, triage, and resolution across different issue trackers. Moreover, it supports various coverage-guided fuzzing engines to achieve optimal outcomes through techniques like ensemble fuzzing and diverse fuzzing strategies. The platform provides detailed statistics for evaluating fuzzer efficiency and tracking crash rates. Its user-friendly web interface simplifies management tasks and crash examinations, while it also accommodates multiple authentication providers via Firebase. Additionally, ClusterFuzz supports black-box fuzzing, minimizes test cases, and employs regression identification through bisection techniques, making it a comprehensive solution for software testing. The versatility and robustness of ClusterFuzz truly enhance the software development process.
API Access
Has API
API Access
Has API
Integrations
Firebase
Google OSS-Fuzz
Google Sheets
Honggfuzz
Jira
LibFuzzer
Microsoft Excel
Python
american fuzzy lop
Integrations
Firebase
Google OSS-Fuzz
Google Sheets
Honggfuzz
Jira
LibFuzzer
Microsoft Excel
Python
american fuzzy lop
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Boofuzz
Website
boofuzz.readthedocs.io/en/stable/
Vendor Details
Company Name
Country
United States
Website
google.github.io/clusterfuzz/