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features
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support

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Description

Identify the specific skills, programming languages, and tools you wish to evaluate, then design tailored assessments using our extensive content library. Further assess final candidates through practical data challenges that reflect real-world situations. To gauge their data competencies and pinpoint areas of improvement, team members will undertake an initial assessment. By combining assessments with targeted learning opportunities, team members will be placed on an ongoing journey of skill enhancement and career growth. Maintaining employee satisfaction is essential, so providing clear pathways for development, personalized training, and fostering a high-achieving environment is crucial. Cultivating a culture where AI initiatives are actively implemented to drive business success and outperform competitors is vital. Rather than seeking out exceptional data science and engineering talents, building an effective advanced analytics team relies on assembling a diverse group with a variety of skill sets. Our assessments reveal not only the skills candidates possess but also those that require development. This comprehensive approach will ensure that your team remains competitive and continuously evolves in an ever-changing landscape.

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

Greenhouse

Integrations

Greenhouse

Pricing Details

No price information available.
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

QuantHub

Founded

2018

Country

United States

Website

www.quanthub.com

Vendor Details

Company Name

Battelle

Website

github.com/Battelle/afl-unicorn

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Recruiting

Assessments
Background Screening
CRM
Interaction Tracking
Internal HR
Interview Management
Job Board Posting
Job Requisition
Onboarding
Recruiting Firms
Reference Checking
Resume Parsing
Self Service Portal

Technical Screening

Candidate Comparison
Candidate Management
Challenges
Coding Skills Lessons
Customizable Testing
Gamification
Multiple Coding Language Options
Reporting
Test Authoring
Workflow Management

Product Features

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