Oz Abramovich

Full stack dev, Cybersecurity enthusiast, Game dev, Network engineer and more.







About Me

I am Oz Abramovich, a 15-year-old full-stack developer interested in Cybersecurity and AI. I write websites and programs in Python, JavaScript, Java, C#, and C. I have experience in many technical fields, including malware creation, web development, AI, and game design. I like networking engineering and hosting servers and am familiar with many Linux distributions and the processes that surround them. I enjoy participating in hacking competitions, pen-testing, and messing around with Kali Linux.







Current Projects

A more detailed list of current projects I am working on and developing.

DRILL V3

DRILL is an advanced multi platform C2 framework written in python with built in persistence techniques and post exploitation modules, all of which is communicated over a single HTTPS connection to the server. DRILL was originally built for a hacking competition I was participating in but quickly became a passion project of mine. I started adding all sorts of features like payload generations with docker and the ability to transfer files. Soon DRILL had moved on from a project to a full C2 framework.

Glitched Realms

Glitched Realms is a self hosted and free Replit alternative that uses Kubernetes to quickly spin up and delete VM's for working on or developing projects. Glitched Realms uses WebSockets to spawn a shell before mapping the STDIN and STDOUT to a console that is emulated through your browser. You can upload files, install packages, and even network between VM's. I started working on Glitched Realms when Replit an IDE I had used changed their free tier.

Completed Projects/Certifications

Here is a list of my favorite projects that I have completed and certifications that I have earned.

Shellshockers.io Hack

A hack for the popular web game Shellshocker that adds aimbot, ESP, removes all of the games ads, and gives you free items and skin customization.

AI Cancer Model

By using Machine Learning, the model predicts the presence of breast cancer based on the features of a cell retrieved with a FNA. The model draws mathematical connections regions of our training data and classifies whether or not a tumor is malignant or benign.

Vulnerability Management - Foundation - Self Paced Training

This is an entry level certification from Qualys covering the basics of Vulnerability management and how to use Qualys's vulnerability scanner.