Mohammed Alqurashi

بعد أكاديمية كاوست

Mohammed returned to KAUST Academy in 2025 as a teaching assistant for the cybersecurity program. Mohammed won 3rd place nationally at Blackhat MEA 2025, was accepted to the KAUST Visiting Student Research Program in December 2025, and was credited with 3 CVEs in Microsoft's September 2026 security update.

المشروع الصيفي

تخصص الأمن السيبراني · دفعة 2024

Enhancing Malware Analysis Using AI

This system uses AI to provide a comprehensive solution for malware analysis, integrating both dynamic and static techniques. Users submit malware samples, which are analyzed in a controlled Windows 7 64-bit sandbox environment. Dynamic analysis observes and records key interactions like API calls, while static analysis examines the file's structure using PE header parsing, Yara rules, and digital signature verification. Machine learning models are employed in both analysis stages for accurate malware classification. The system then delivers clear results, including classification, behavioral reports, and structural insights, aiding cybersecurity professionals in threat mitigation.

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