I studied Information Security at the University of Information Technology (UIT), VNU-HCM and spent eight months at InSecLab researching how deep learning can find vulnerabilities in source code. I'm now taking that detection mindset to the blue team: monitoring events, triaging alerts and investigating incidents.
name: La Trong Anh
role: Security Engineer (fresher)
education: Information Security @ University of Information Technology (UIT), VNU-HCM
experience: Software Security Research Intern @ InSecLab, UIT
focus: [threat detection, log analysis, IDS/IPS, incident response]
languages: [Vietnamese (native), English (TOEIC 590 / VSTEP B2)]Software Security Research Intern · InSecLab, UIT Sep 2023 – Apr 2024 · Ho Chi Minh City
- Researched deep-learning-based vulnerability detection for C/C++ code using code property graphs, graph attention networks and code language models
- Co-built a multimodal detector that raised F1-score from 0.70 to 0.84 over a graph-only baseline, with explainable line-level results
- Shipped the research as a VS Code extension backed by a Flask REST API and Dockerized Joern; submitted to the Eureka 2024 Student Research Award
| Area | Tools |
|---|---|
| Detection & network security | |
| Systems & networking | |
| Programming & tooling | |
| Security research & ML |
Core knowledge: IDS/IPS · network traffic analysis · OWASP Top 10 & CWE · static code analysis (SAST) · incident response · digital forensics · TCP/IP, firewall, VPN, iptables
| Project | Focus | Stack |
|---|---|---|
| CoVulPecker | C/C++ vulnerability detection inside VS Code | Python · PyTorch · Joern · TypeScript |
| LineVD reproduction | Statement-level vulnerability detection with GNNs | Python · DGL · CodeBERT |
Security Engineer (fresher) opportunities · Let's connect on LinkedIn
