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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 FuzzDB?

FuzzDB was created to improve the likelihood of discovering security vulnerabilities in applications by utilizing dynamic testing techniques. Recognized as the first and largest open repository for fault injection patterns, along with reliable resource locations and regex for matching server responses, it is an essential tool in the field. This extensive database contains comprehensive lists of attack payload primitives specifically designed for fault injection testing. The patterns are categorized by the type of attack and, when applicable, by the specific platform, often revealing vulnerabilities such as OS command injection, directory traversals, source code exposure, file upload bypass, cross-site scripting (XSS), and SQL injections, among others. Notably, FuzzDB highlights 56 patterns that could be interpreted as a null byte and also provides extensive lists of commonly used methods and name-value pairs that may trigger debugging modes. In addition, FuzzDB is continually updated as it integrates new discoveries and contributions from the community to effectively address emerging security threats. This ongoing evolution ensures that users benefit from the latest advancements in vulnerability detection and testing methodologies.

Media

Media

Integrations Supported

BlackArch Linux
NoSQL
OWASP ZAP

Integrations Supported

BlackArch Linux
NoSQL
OWASP ZAP

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

FuzzDB

Company Website

github.com/fuzzdb-project/fuzzdb

Categories and Features

Categories and Features

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