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Cybersecurity Graduate.
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Hassaan Ali Bukhari

# B3TA-BLOCKER

$cat identity.txt

role:Red Teamer · CTF Player · Binary Exploitation Enthusiast

status:Self-taught · Graduated

passion:Breaking things · Pentesting · Hacking

$

I'm B3TA-BLOCKER

A cybersecurity graduate interested in how systems break and how those weaknesses turn into real-world exploits (in controlled, legal environments). Focused on red teaming, malware research, exploit development, and offensive security. Most often found in labs where breaking things is the point; otherwise, reading books with a cup of tea and chilling away from the keyboard.

Skills

  • Programming Languages: Python, C, C++, Bash
  • Tools & Frameworks: Docker, Ghidra, GDB, IDA Pro, Burp Suite
  • Platforms: HackTheBox, TryHackMe, pwn.college

Experience

  • Penetration Tester Intern at VisionX
    • Performed security testing in simulated environments, including web exploitation (SQLi, XSS, authentication bypass, IDOR).
    • Conducted Active Directory attack simulations and Linux privilege escalation on lab-based systems.
    • Solved CTF challenges across web security, binary exploitation, and reverse engineering domains.
    • Applied reverse engineering and debugging techniques using tools like GDB.
    • Researched access control vulnerabilities, including UUID-based attack scenarios.
    • Documented findings and published technical write-ups on Medium and LinkedIn.

Education

Certifications

  • Practical Junior Penetration Tester (PJPT) — TCM Security

Projects

  • The Inside Job (Final Year Project 2025–2026) - A hardware-based red team tool using Raspberry Pi Pico that deploys a remote-access agent on a target PC within seconds. Engineered an encrypted C2 infrastructure on AWS with AES-256 + TLS, enabling stealthy remote command execution through a Go-based in-memory agent. Surpasses tools like USB Rubber Ducky and Flipper Zero in capability.
  • Raspberry Pi based Intrusion Detection System - A lightweight IDS on Raspberry Pi using an LSTM neural network trained on the CSE-CIC-IDS 2018 dataset to classify network traffic as benign or malicious in real-time. Modular and low-power, deployable on edge hardware without dedicated server infrastructure.
  • Anomaly Detection Using CNN-LSTM - A video anomaly detection system using CNN-LSTM models deployed on AWS. Trained on UCF Crime, UCSD, and UBnormal datasets with Federated Learning and Particle Swarm Optimization for improved generalization.
  • GhostLogger - A low-level Windows keylogger that runs invisibly in the background, capturing all keystrokes silently.

Community

  • Head — Speed Programming · ACM Student Chapter, GIKI (Sep 2024 – May 2025)
  • Sub-Head — Speed Programming & CTF · ACM Student Chapter, GIKI (Oct 2023 – Oct 2024)
  • Programming Instructor · ACM Student Chapter, GIKI (Sep 2023 – Nov 2023) — Taught C++ to first-year students
  • Volunteer · ACM Student Chapter, GIKI (Oct 2022 – Apr 2023) — Managed logistics for ICPC finals
  • Member · Microsoft Club GIKI (Oct 2023 – May 2024)

— Terminal