A defensive-focused cybersecurity education platform built for the future.
PhantomRange is a futuristic cybersecurity training simulator built entirely in Python. It generates dynamic virtual infrastructures, simulates safe educational attack chains, and deploys an AI Defender that adapts in real time. Designed for training, CTF practice, and portfolio demonstration, it delivers a cyberpunk-hacker aesthetic with production-grade architecture.
Repository: github.com/issu321/PhantomRange
The AI Defender uses a RandomForestClassifier trained on synthetic feature vectors representing:
When the simulation advances, the model predicts compromise probability per node. If risk exceeds the difficulty-adjusted threshold, the defender triggers actions such as virtual honeypot deployment, quarantine isolation, or authentication hardening.
Lightweight but production-grade architecture:
Contributions are welcome. Fork the repository, create a feature branch, and open a Pull Request. The project is distributed under the MIT License.
Developer: issu321
PhantomRange is a SAFE educational simulation only. No real malware is generated. No actual network exploitation occurs. All attack chains are abstracted and sandboxed. Intended for cybersecurity education, CTF training, and defensive skill development.