PurpleCHOIms (Minseok CHOI) · GitHub
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PurpleCHOIms/README.md

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👋 Welcome to My GitHub Profile!

🌐 Visit My Portfolio



📋 About Me


🚀 Who I Am

AI-powered Offensive Security Engineer & Founder Focused on building Autonomous Red Teaming Systems using LLMs and multi-agent architectures.

  • 🧠 AI + Cybersecurity convergence
  • 🛠️ Offensive security automation (LLM-based)
  • 🏴‍☠️ Exploit generation & attack simulation
  • 🚀 Founder of PurpleAILAB

🚨 Featured Projects

🔥 Decepticon — Autonomous Red Team Agent

🔗 GitHub Repository

  • Built a professional autonomous red teaming system, not a scanner-based tool

  • Executes full attack lifecycle:

    • Reconnaissance → Exploitation → Privilege Escalation → Lateral Movement → C2
  • Generates OPPLAN, RoE, and MITRE ATT&CK-based attack strategies

  • Uses multi-agent architecture (LangGraph-based)

⚡ Highlights:

  • Realistic attack chain execution, not checklist scanning
  • Interactive offensive tooling (tmux-based execution environment)
  • Sandbox-isolated attack infrastructure
  • Supports multiple LLM providers & local models

🧠 Sapiens / Vigilo — Autonomous Vulnerability Research Agent

🔗 Research Findings

  • Developed an AI agent for autonomous vulnerability discovery

  • Focused on:

    • Web applications
    • Smart Contracts (Web3)
  • Designed for:

    • Bug bounty
    • Audit contests
    • Real-world exploit research

🏆 Real-World Impact:

  • Discovered vulnerability in Cantina Bug Bounty Program
  • Demonstrated rounding accumulation vulnerability analysis
  • Applied LLM-based reasoning to real exploit scenarios

🏆 Awards

  • 2016.11.04 | 2nd Place - Global Innovator Festa (GIF) Ideathon
  • 2017.10.28 | Finalist - National High School SW Club Competition
  • 2022.10.28 | Encouragement Award - Global Innovator Festa
  • 2022.09.31 | Encouragement Award - Public Data Utilization Challenge

🧠 Software Education

🔐 2023.03 ~ 2023.12 | KISIA AI Security - Malware Analysis Track

  • Developed AI-based malware detection models
  • Studied ML & adversarial techniques
  • Conducted LLM-based malware analysis automation

🔗 GitHub


🧑‍💻 2023.09 ~ 2024.04 | BOB White Hat School - 1st Cohort

  • Team Representative

  • Specialized in Web / System Hacking / Cloud Security

  • Built NLP-based exploit automation system

  • Presented at CISC-S'24

🔗 GitHub


🛡️ 2024.08 ~ 2024.10 | K-Shield Jr. - Incident Response

  • Digital forensics & attack analysis
  • LLM-based attack simulation

🛡️ 2025.06 ~ 2026.03 | BoB 14th - Security Product Development Track

  • Focused on AI-based security product development

🏆 Achievement:

  • 🥇 Grand Prix 1st Place (Startup Track)

🚀 Project:

  • Built Sapiens: Autonomous Vulnerability Detection Agent
  • Extended into real-world bug bounty research (Vigilo)

🚀 Startup Experience

👨‍💼 CEO at PurpleAILAB (Since 2023.06)

  • Building Decepticon (Autonomous Red Team System)
  • Researching AI-driven offensive security automation
  • Developing multi-agent attack workflows

🧠 Vision:

Automating cybersecurity offensive operations → Toward continuous autonomous red teaming


🔥 Core Focus

  • Autonomous Red Teaming (AI Agents)
  • Offensive Security Automation using LLMs
  • AI-driven Exploit Generation
  • Web & Smart Contract Security
  • Real-world Vulnerability Research

🔥 Building the future of AI-driven cybersecurity.

Pinned Loading

  1. PurpleAILAB/Decepticon PurpleAILAB/Decepticon Public

    Autonomous Hacking Agent for Red Team

    Python 5.5k 1k

  2. PurpleAILAB/Vigilo PurpleAILAB/Vigilo Public

    An AI hacker for Web3 Smart Contract. for bug bounties, Audit contest, offensive security research, and real-world exploit thinking.

    TypeScript 64 16