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Description

Proteus is a cutting-edge software testing solution designed to automatically detect and remediate vulnerabilities without generating false positives, targeting development teams, testing agencies, and cybersecurity professionals. It identifies potential weaknesses that may arise from harmful files or network data, addressing numerous entries listed in the Common Weakness Enumeration (CWE). This versatile tool supports both Windows and Linux native binaries, enhancing its usability across various platforms. By effectively incorporating and streamlining the utilization of state-of-the-art binary analysis and transformation tools, Proteus reduces costs while boosting the efficiency and effectiveness of software testing, reverse engineering, and ongoing maintenance efforts. Its capabilities include binary analysis, mutational fuzzing, and symbolic execution, all achievable without access to the source code, complemented by a professional-grade user interface for collating and displaying results. Moreover, it offers advanced reporting on exploitability and reasoning, making it suitable for deployment in both virtualized environments and on physical host systems, ultimately enhancing overall security processes. By ensuring comprehensive coverage of potential vulnerabilities, Proteus equips teams to better safeguard their software applications.

Description

AFL-Unicorn provides the capability to fuzz any binary that can be emulated using the Unicorn Engine, allowing you to target specific code segments for testing. If you can emulate the desired code with the Unicorn Engine, you can effectively use AFL-Unicorn for fuzzing purposes. The Unicorn Mode incorporates block-edge instrumentation similar to what AFL's QEMU mode employs, enabling AFL to gather block coverage information from the emulated code snippets to drive its input generation process. The key to this functionality lies in the careful setup of a Unicorn-based test harness, which is responsible for loading the target code, initializing the state, and incorporating data mutated by AFL from its disk storage. After establishing these parameters, the test harness emulates the binary code of the target, and upon encountering a crash or error, triggers a signal to indicate the issue. While this framework has primarily been tested on Ubuntu 16.04 LTS, it is designed to be compatible with any operating system that can run both AFL and Unicorn without issues. With this setup, developers can enhance their fuzzing efforts and improve their binary analysis workflows significantly.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

C++
Rust

Integrations

C++
Rust

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Grammatech

Country

United States

Website

www.grammatech.com/cyber-security-solutions/proteus/

Vendor Details

Company Name

Battelle

Website

github.com/Battelle/afl-unicorn

Product Features

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

Product Features

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