About Me

I am a PhD student at Concordia University, Montreal, Canada. I am deeply passionate about security research and have been actively involved in various bug bounty programs. My expertise includes web application security, vulnerability assessment, and penetration testing. I thrive on solving complex security challenges and contributing to the cybersecurity community.

Recognized by:
Mercedes-Benz, Microsoft, and many more.

Publications

• Detecting Malicious .NET Files Using CLR Header Features and Machine Learning (2023): Hassan, Mohammed & Eid, Mohamed & Elnems, Hossam & Elsayed Amin, Eslam & Mesak, Ebraam & Branco, Paula. (2023). Proceedings of the Canadian Conference on Artificial Intelligence. 10.21428/594757db.88040587.
• Comparative Evaluation of Face Detection Algorithms (2020): A. Yamout, A. Abdelmawgood, E. Sadick and M. Naguib, 16th International Computer Engineering Conference (ICENCO), Cairo, Egypt, 2020, pp. 64-71, doi: 10.1109/ICENCO49778.2020.9357386.

Achievements

• bormaa/Benign-NET dataset: Used in papers and projects.
• Mercedes-Benz 2023 Hall of Fame
• Microsoft Research Center 2024 Q4 Leaderboard

Projects

• B-HUNTER: Runs recon and scanning tools in parallel using Docker and Kubernetes.
• Benign-NET: Dataset of benign .NET files used in research.
• UNIURL: Ensures unique and valid URLs during reconnaissance.
• Karton Polyswarm Scanner: Scans and pulls results from Polyswarm API.