collaborators

5 papers

cs.CR2026

Staying on the Attack Path: Structured State for Long-Horizon Automated Penetration Testing

Weizhe Wang, Yitong Zhang, Yao Zhang +4

Large language model (LLM) based agents are increasingly applied to cybersecurity tasks such as vulnerability discovery and automated penetration testing. On long-horizon security…

cs.CR2026

Domain Decoupling Attack: Exploiting the Validation Gap Between Protective DNS and Shared Edge Routing

Weizhe Wang, Minhong Dong, Jinhao Li +6

Network attackers often conceal malicious communication within legitimate Internet traffic. Existing CDN-based evasion techniques rely on SNI--Host inconsistency, insufficient doma…

cs.CR2026

SFCoT: Safer Chain-of-Thought via Active Safety Evaluation and Calibration

Yu Pan, Wenlong Yu, Tiejun Wu +4

Large language models (LLMs) have demonstrated remarkable capabilities in complex reasoning tasks. However, they remain highly susceptible to jailbreak attacks that undermine their…

cs.SE2025

VulnRepairEval: An Exploit-Based Evaluation Framework for Assessing Large Language Model Vulnerability Repair Capabilities

Weizhe Wang, Wei Ma, Qiang Hu +6

The adoption of Large Language Models (LLMs) for automated software vulnerability patching has shown promising outcomes on carefully curated evaluation sets. Nevertheless, existing…

cs.CR2025

Unlocking User-oriented Pages: Intention-driven Black-box Scanner for Real-world Web Applications

Weizhe Wang, Yao Zhang, Kaitai Liang +5

Black-box scanners have played a significant role in detecting vulnerabilities for web applications. A key focus in current black-box scanning is increasing test coverage (i.e., ac…