WHOAMI _

Abdelrahman Sayed
root@nyx0r: ~
root@nyx0r:~$ whoami
Systems & Biomedical Engineering fresh graduate at Cairo University. Offensive security focused — penetration testing (Infrastructure, Web/Mobile Applications).

Self-taught through CTFs and real-world hunting. Currently building SpidyC2 — a custom C2 framework for red team ops.
root@nyx0r:~$ ./reveal_power.sh
> Offensive Security Engineer
> Back-End Developer
> Computer Geek
EXPLORE MORE
01 // EXPERIENCE

MISSION HISTORY

Aug - Sep 2025

Penetration Tester Internship

@ WE INNOVATE + ZeroSploit

Conducted security assessments, vulnerability testing, and exploitation techniques for web applications and infrastructure.

Aug - Sep 2023

Cybersecurity Trainee

@ Information Technology Institute (ITI)

Completed comprehensive cybersecurity fundamentals program including defensive and offensive security practices.

2021 - 2026

Systems and Biomedical Engineering Student

@ Cairo University

02 // CERTIFICATES

PROOF OF WORK

Certified Red Team Analyst (CRTA)
Verified

Certified Red Team Analyst (CRTA)

Cyber Warfare Lab (CWL)

API Penetration Testing
Verified

API Penetration Testing

APISEC University

CompTIA Security+ Prep
Verified

CompTIA Security+ Prep

Netriders Academy

03 // RECENT_PROJECTS

ARSENAL GRID

In Progress

SpideyC2 (Command & Control)

Developing SpideyC2, a custom Command & Control framework for centralized and secure management of remote agents, Supports encrypted communications, remote command execution, and Obfuscated Payloads Generation.

C\C++PythonEncryptionNetworking
Completed

Firmware Reverse Engineering using AI

AI-assisted reverse engineering of AVR firmware using Ghidra MCP and Claude AI to convert disassembled assembly code into readable C source code and recover program logic.

GhidraAI/MLReverse Engineering
View Project →
Continuous

RedTeam Attacks Replication

Built a self-hosted Active Directory lab to replicate real-world Red Team attacks by executing end-to-end TTPs, including information gathering, phishing, initial compromise, privilege escalation, and lateral movement.

Active DirectoryWindowsSecurity
Completed

Email Spam Detection

Email spam detection ML projects use machine learning algorithms to classify emails as spam or not spam based on content and features.

Machine LearningPythonNLP
View Project →
Continuous

PoCs & CTF Writeups

I am documenting and sharing my solutions to Capture The Flag (CTF) challenges and PoCs for public CVEs through detailed writeups on my portfolio & Medium & GitHub Account.

Security ResearchCTFDocumentation
View Project →
04 // ESTABLISH_A_CONNECTION

LETS CONNECT

Always open to new opportunities, collaborations, and conversations about security.