Keunho Kim(rootk1m)
Researching vulnerability analysis and exploit/reversing across diverse environments from an Offensive Security perspective
About
Security researcher specializing in vulnerability analysis and exploit/reversing across diverse environments including IoT, Embedded, Automotive, and Mobile from an Offensive Security perspective. Beyond finding vulnerabilities, I pursue evidence-based analysis routines that include reproducibility, verification evidence, and documentation deliverables.
Contributed to discovering 18 CVEs through IoT smart doorbell analysis and currently researching vulnerability analysis automation using Agentic AI and LLM-based APT scenario variant generation experiments.
Currently studying Computer Science at Sejong University and participating in AI-based security research as an undergraduate researcher at CYAI Lab. Experienced as a Red Team intern at AUTOCRYPT Vehicle Threat Research Lab with an AutoHack 2025 award.
Experience
AUTOCRYPT
Red Team Intern
- Automotive security threat analysis and penetration testing
- Offensive security research targeting vehicle systems
CYAI Lab (Sejong University)
Undergraduate Researcher
- Conducting research on AI-driven security automation focusing on LLM and autonomous agents
- Designed Agentic AI-based ExploitAgent architecture and experiment pipelines
- Paper presentation at KSII Autumn Conference (Best Paper Award)
- Participating in regular seminars analyzing recent APT attack and defense trends
- Personal research MuCAMP2: LLM-based APT attack scenario variant generation experiments
Whitehat School 3rd Cohort
Trainee
- Completed advanced Offensive Security training
- Hands-on vulnerability analysis and exploit development
Portfolio
Overview
I research vulnerability analysis and exploit/reversing across diverse environments including IoT, Embedded, Automotive, and Mobile from an Offensive Security perspective. Discovered 18 CVEs in IoT devices and currently researching vulnerability analysis automation using Agentic AI.
Key Achievements
IoT/Embedded Security Research
- Comprehensive security analysis of IoT smart doorbell — discovered 18 CVEs
- Established vulnerability analysis methodology through firmware extraction and reverse engineering
- Contributed to IoT security research community by publishing analysis guides
AI-Powered Security Research
- Agentic AI-based ExploitAgent architecture design and autonomous behavior generation research
- SCOUT: Agent-based IoT firmware vulnerability candidate auto-generation system development
- Best Paper Award at KSII Autumn Conference
Automotive Security
- Red Team intern at AUTOCRYPT Vehicle Threat Research Lab
- Won COSS Council Chair Award at AutoHack 2025 automotive hacking competition
- Conducted offensive security research targeting vehicle systems
Security Community Leadership
- President of SSG, Sejong University security club
- Systems hacking lecturer and embedded vulnerability analysis project mentor
- Organization management and activity planning as operations/treasurer
- SCOUT - IoT Firmware Vulnerability Candidate Auto-Generation System
Core Competencies
Speaking & Community
Talks & Lectures
Architecture Design and Autonomous Behavior Generation of Agentic AI-based ExploitAgent (Co-authors: Sanghun Jo, Keunho Kim, Changhee Choi)
Community
SSG (Sejong Security Group)
President
SSG (Sejong Security Group)
Projects Department Director
SSG
Embedded Vulnerability Analysis Project Mentor
SSG
Systems Hacking Lecturer & Mentor
SSG
Operations / Treasurer
Certified
Certifications
Awards
SPACE WAR @ ARIES (AI) CTF All Solved 7th Place
HSPACE
AutoHack 2025 COSS Council Chair Award
Kookmin University Future Automotive Division
Best Paper Award
KSII Autumn Conference (Defense IT Research Society)