Capstone Projects

Common language platforms for multiple command and control frameworks. Eshu enables agnostic post-exploitation across C2s, while Ender provides a unified exploit engine. Both platforms support Metasploit and Sliver frameworks.

Students develop offensive security capabilities from the ground up, building adversary emulation frameworks using MITRE ATT&CK. The capstone produced Avocado, a powerful C2 framework with Python server and Rust-based stageless implants supporting Windows and Linux.

An all-in-one passive IoT and embedded device network mapper. IoT Sentry passively monitors and analyzes devices on a network via PCAP analysis to perform asset identification with accuracy of at least the vendor of the device.

Developing a binary similarity model using Random Forest machine learning to classify malware into families. The project achieved 98% accuracy classifying SmokeLoader, ZeusBot, and benign samples by analyzing imported functions and modules.

Researching scammer infrastructures and developing malware to hack in and monitor scammers without their knowledge, allowing us to preemptively warn victims and gather intelligence to report scammers.