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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 Peach Fuzzer?
Peach stands out as a sophisticated SmartFuzzer that specializes in both generation and mutation-based fuzzing methodologies. It requires the development of Peach Pit files, which detail the structure, type specifics, and relationships of the data necessary for successful fuzzing efforts. Moreover, Peach allows for tailored configurations during a fuzzing session, including options for selecting a data transport (publisher) and a logging interface. Since its launch in 2004, Peach has seen consistent enhancements and is currently in its third major version. Fuzzing continues to be one of the most effective approaches for revealing security flaws and pinpointing bugs within software systems. By engaging with Peach for hardware fuzzing, students will explore fundamental concepts associated with device fuzzing techniques. This versatile tool is suitable for a variety of data consumers, making it applicable to both servers and embedded systems alike. A diverse range of users, such as researchers, private enterprises, and governmental organizations, utilize Peach to identify vulnerabilities in hardware. This course will focus on using Peach specifically to target embedded devices, while also collecting crucial information in the event of a device crash, thereby deepening the comprehension of practical fuzzing techniques and their application in real-world scenarios. By the end of the course, participants will not only become proficient in using Peach but also develop a solid foundation in the principles underlying effective fuzzing strategies.
Integrations Supported
.NET
GitLab
Python
Visual Studio
XML
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
Free
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
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
Peach Tech
Date Founded
2004
Company Location
United States
Company Website
peachtech.gitlab.io/peach-fuzzer-community/