KAILASH PARSHAD

JHU Security & Privacy project — discovered 5 critical vulnerabilities with OWASP/CWE classification. Built an automated exploitation suite covering SQL injection, credential cracking, MD5 hash cracking, and CVE scanning.

Secure-by-design IoT system with role-based access control (3 user roles), OWASP Top 10 mitigations, comprehensive audit logging, and defense-in-depth architecture. JHU Security course project.

Award-winning cybersecurity education tool powered by Raspberry Pi 5 — a portable alternative to Flipper Zero. Won two awards for impact and innovation. WiFi hacking, RFID scanning, and universal remote.

Menu-driven Nmap automation with 11 specialized scan profiles designed for OSCP/HTB-style pentesting workflows. Zero external dependencies — just Python 3 and Nmap. Built for speed and efficiency.

Interactive hardening toolkit implementing 66 security controls across 16 categories — UAC, Firewall, ASR rules, BitLocker, and Credential Guard. PowerShell-based with full GUI interface.

End-to-end SIEM integrating Sysmon with Elasticsearch, Logstash, and Kibana for real-time threat detection. Custom KQL queries and alert correlation rules for security monitoring at scale.

IoT security research tool targeting Amazon Echo devices. Interactive wizard with subnet scanner, auto-detect gateway, BPF filtering, and full pcap capture. Demonstrates ARP attack vectors on smart home devices.

Network toolkit featuring ARP-based host discovery, man-in-the-middle attacks, bandwidth control, and MAC anonymization. Dual interface — CLI for power users and GUI for accessibility.

"Most Emerging Project" award winner — multi-instrument cybersecurity device using Raspberry Pi 400 + Kali Linux. Swiss Army knife for ethical hackers: Rubber Ducky, WiFi deauth, RFID scanner, IR blaster.

Denial-of-service proofs-of-concept against Parrot Bebop 2 — UDP ARNetwork flood attack and Wi-Fi deauthentication vector. For authorized security testing and IoT vulnerability research only.