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What is afl-unicorn?
AFL-Unicorn enables the fuzzing of any binary that can be emulated with the Unicorn Engine, providing the ability to focus on specific code segments during testing. As long as the desired code can be emulated using the Unicorn Engine, AFL-Unicorn can be utilized effectively for fuzzing tasks. The Unicorn Mode features block-edge instrumentation akin to AFL's QEMU mode, allowing AFL to collect block coverage data from the emulated code segments, which is essential for its input generation process. This functionality is contingent upon the meticulous configuration of a Unicorn-based test harness, which plays a crucial role in loading the intended code, setting up the initial state, and integrating data altered by AFL from its storage. Once these parameters are established, the test harness simulates the target binary code, and upon detecting a crash or error, it sends a signal to indicate the problem. Although this framework has been primarily validated on Ubuntu 16.04 LTS, it is built to work seamlessly with any operating system that can support both AFL and Unicorn. By utilizing this framework, developers can significantly enhance their fuzzing strategies and streamline their binary analysis processes, leading to more effective vulnerability detection and software reliability improvements. This broader compatibility opens up new opportunities for developers to adopt advanced fuzzing techniques across various platforms.
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.
Integrations Supported
Integrations Supported
Bamboo
Docker
Drone
Google Cloud Platform
Jenkins
Okta
Slack
Travis CI
API Availability
API Availability
Pricing Information
Free
Free Version
Pricing Information
Pricing not provided
Supported Platforms
Android
Windows
Mac
Linux
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Battelle
Company Website
github.com/Battelle/afl-unicorn
Company Facts
Organization Name
ForAllSecure
Date Founded
2012
Company Location
United States
Company Website
www.forallsecure.com
Categories and Features
Fuzz Testing
Not specified
Categories and Features
Automated Testing
Security Testing
Code Coverage
Not specified
Fuzz Testing
Not specified
Regression Testing
Not specified