dokjadoan@portfolio:~$

$ whoami

Doan Manh Duc "dokjadoan"

$ cat roles.txt

ASM / Pentest / Security Researcher

Vibe Hacker

$ ls ~/skills

Skills

Programming Languages

  • Python
  • C/C++

Technical Skills

  • Web Development
  • Offensive Security
  • AI Security Research

Others

  • Fluent in English and Vietnamese
  • Knows Korean and Chinese curse words

$ cat cves.log

Research

CVE NumberProgramSeverity
CVE-2026-61663django-cmsModerate 4.3
CVE-2026-61726TandoorRecipes/recipesHigh 8.1

$ cat credentials.log

Certifications & Achievements

Certifications

No certificates indexed yet.

Achievements

  • Leader, ChapBaiSlayer CTF Team — peak Top 10 Vietnam
  • Top 20 — Hack The Box: Project Nightfall 2026 CTF
  • Top 13 — Hack The Box: The Salt Crown 2026 CTF

$ ls ~/projects

Projects

Eureka2024_Web

An ecosystem for combating online fraud, including Voice Phishing, Mail Phishing, Phone Number Phishing, and other anti-fraud utilities.

HTML
View Project

YDCC

YDCC 2024 — a cybersecurity hackathon project and the foundational idea for an anti-fraud ecosystem website integrating AI in fraud prevention.

HTML
View Project

Cryptography_CP-ABE

Encryption, access control, and queries on cloud data for real-estate transactions.

Python
View Project

Steganography

Implementing steganography in text, image, audio, and video using LSB, phase coding, and spread-spectrum algorithms.

Jupyter Notebook
View Project

Website_Malware_Detection

A machine-learning-based system for detecting malware on websites to enhance web security.

Python
View Project

Apollon_MAB_IDS

An adversarial-resilient intrusion-detection system using multi-armed bandits with dynamic classifier selection.

Jupyter Notebook
View Project

$ cat publications.log

Publications

ACIIDS 2026

PhishFusion: A Multimodal Phishing Detection Framework Using Joint URL and JavaScript Features

A multimodal phishing detection framework combining raw URLs, structured URL features, and JavaScript code.

Read on Springer ↗

RIVF 2025

Phishing Website Detection via Multimodal Learning and Retrieval-Augmented Reasoning

Research on multimodal phishing detection with retrieval-augmented reasoning.

Read on IEEE Xplore ↗

$ ping collaborator

Contact

If you think Bae Suzy is the prettiest Korean girl, ping me.

EMAIL
doandokja@gmail.com
GITHUB
github.com/doanmanhducz
LINKEDIN
linkedin.com/in/doanduc1704