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What is Mayhem?

Mayhem is a cutting-edge fuzz testing platform that combines guided fuzzing with symbolic execution, utilizing a patented technology conceived at CMU. This advanced solution greatly reduces the necessity for manual testing by automatically identifying and validating software defects. By promoting the delivery of safe, secure, and dependable software, it significantly cuts down on the time, costs, and effort usually involved. A key feature of Mayhem is its ability to accumulate intelligence about its targets over time; as it learns, it refines its analysis and boosts overall code coverage. Each vulnerability it uncovers represents a confirmed and exploitable risk, allowing teams to prioritize their remediation efforts effectively. Moreover, Mayhem supports the remediation process by offering extensive system-level insights, including backtraces, memory logs, and register states, which accelerate the identification and resolution of problems. Its capacity to create custom test cases in real-time based on feedback from the target eliminates the need for any manual test case generation. Additionally, Mayhem guarantees that all produced test cases are easily accessible, transforming regression testing into a seamless and ongoing component of the development workflow. This remarkable blend of automated testing and intelligent feedback not only distinguishes Mayhem in the field of software quality assurance but also empowers developers to maintain high standards throughout the software lifecycle. As a result, teams can harness Mayhem's capabilities to foster a more efficient and effective development environment.

What is Boofuzz?

Boofuzz acts as both an evolution and an improvement over the long-standing Sulley fuzzing framework. Not only does it tackle various bugs, but it also emphasizes extensibility in its design. It maintains all critical elements of a fuzzer, including effective data generation, comprehensive instrumentation for monitoring, failure detection mechanisms, the capability to reset targets after a failure, and detailed documentation of test outcomes. The installation process is notably streamlined, offering compatibility with numerous communication methods. It includes native support for serial fuzzing, Ethernet protocols, IP-layer communications, and UDP broadcasting. Furthermore, Boofuzz enhances data recording practices, ensuring that the information is consistent, thorough, and user-friendly. Users can conveniently export their test results in CSV format and take advantage of customizable options for instrumentation and failure detection. As a Python library, Boofuzz allows for the straightforward creation of fuzzer scripts, and it is highly recommended to set it up within a virtual environment to optimize its functionality and organization. This versatility makes it an ideal choice for both experienced testers and those just beginning their journey in fuzz testing. With its robust features and user-friendly approach, Boofuzz stands out as a valuable asset in the realm of software testing.

Media

Media

Integrations Supported

Bamboo
Docker
Drone
Google Cloud Platform
Jenkins
Okta
Slack
Travis CI

Integrations Supported

Google Sheets
Microsoft Excel
Python

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

ForAllSecure

Date Founded

2012

Company Location

United States

Company Website

www.forallsecure.com

Company Facts

Organization Name

Boofuzz

Company Website

boofuzz.readthedocs.io/en/stable/

Categories and Features

Automated Testing

Security Testing

Code Coverage

Not specified

Fuzz Testing

Not specified

Regression Testing

Not specified

Categories and Features

Fuzz Testing

Not specified

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