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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 Google ClusterFuzz?

ClusterFuzz is a comprehensive fuzzing framework aimed at identifying security weaknesses and stability issues within software applications. Used extensively by Google, it serves as the testing backbone for all its products and functions as the fuzzing engine for OSS-Fuzz. This powerful infrastructure comes equipped with numerous features that enable the seamless integration of fuzzing into the software development process. It offers fully automated procedures for filing bugs, triaging them, and resolving issues across various issue tracking platforms. Supporting multiple coverage-guided fuzzing engines, it enhances outcomes through ensemble fuzzing and a range of fuzzing techniques. Moreover, the system provides statistical data to evaluate the effectiveness of fuzzers and track the frequency of crashes. Users benefit from a user-friendly web interface that streamlines the management of fuzzing tasks and crash analysis. ClusterFuzz also accommodates various authentication methods via Firebase, and it boasts functionalities for black-box fuzzing, reducing test cases, and pinpointing regressions through bisection. In conclusion, this powerful tool not only elevates software quality and security but also becomes an essential asset for developers aiming to refine their applications, ultimately leading to more robust and reliable software solutions.

Media

Media

Integrations Supported

Bamboo
Docker
Drone
Google Cloud Platform
Jenkins
Okta
Slack
Travis CI

Integrations Supported

Firebase
Honggfuzz
Jira
LibFuzzer
american fuzzy lop

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
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

Google

Company Website

github.com/google/clusterfuzz

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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