3 papers
cs.CR2026
Red-MIRROR: Agentic LLM-based Autonomous Penetration Testing with Reflective Verification and Knowledge-augmented Interaction
Tran Vy Khang, Nguyen Dang Nguyen Khang, Nghi Hoang Khoa +3
Web applications remain the dominant attack surface in cybersecurity, where vulnerabilities such as SQL injection, XSS, and business logic flaws continue to cause significant data…
cs.CR2025
xOffense: An Autonomous Multi-Agent Framework for Penetration Testing with Domain-Adapted Large Language Models
Phung Duc Luong, Le Tran Gia Bao, Nguyen Vu Khai Tam +4
This work introduces xOffense, an AI-driven, multi-agent penetration testing framework that shifts the process from labor-intensive, expert-driven manual efforts to fully automated…
cs.CR2023
XGV-BERT: Leveraging Contextualized Language Model and Graph Neural Network for Efficient Software Vulnerability Detection
Vu Le Anh Quan, Chau Thuan Phat, Kiet Van Nguyen +2
With the advancement of deep learning (DL) in various fields, there are many attempts to reveal software vulnerabilities by data-driven approach. Nonetheless, such existing works l…