Capstone Projects
Research projects developed through PlatformSecurity's capstone program, bridging academic research with real-world offensive security challenges.
Midnight Calypso
Coming soon.
Ender and Eshu
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.
Offensive Tool Development
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.
Enterprise IoT Mapper
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.
Binary Similarity Model for Malware Classification
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.
Hacking Back Scammers
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.