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Description
Unicorn Hunt was established a few years back to address a significant gap: the job platforms available to the UK startup ecosystem were inadequate, leaving companies with limited options for sourcing new talent online. While one could opt to list a job on a broad, generic board and hope it reaches a suitable candidate, this approach has its drawbacks. Firstly, working at a startup requires a specific mindset, and not everyone is suited to this fast-paced atmosphere, making it difficult to target the appropriate audience through a vast job listing site. Secondly, the costs associated with these platforms can be astronomical. A common struggle in the startup world is financial constraints, which is inherently linked to the term "startup," as many cannot afford to post on an expansive job board or, heaven forbid, engage a recruitment agency. Consequently, Unicorn Hunt was conceived to fulfill the needs of this neglected startup community, all while embracing the whimsical spirit of innovation. By creating a niche platform tailored for startups, it aims to connect the right talent with the right opportunities effectively.
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
Integrations
No details available.
Integrations
No details available.
Pricing Details
$119.94 per month
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
Unicorn Hunt
Country
United Kingdom
Website
unicornhunt.io
Vendor Details
Company Name
Battelle
Website
github.com/Battelle/afl-unicorn