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20222026
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cs.CR2026

No, Your Tools Are Not Enough: It's Time to Bring Agents to the Hunt

Ati Priya Bajaj, Xiang Mei, Tiffany Bao +3

Modern software systems are large and complex, demanding scalable and autonomous techniques for vulnerability discovery. Existing approaches still depend on human expertise for dom…

cs.CR2026

No-Box Vulnerability Analysis: Description-only Detection of Indirect Prompt Injection Vulnerabilities in MCP Servers

Zehua Zhang, Jie Hu, Pratham Hegde +14

Conventional vulnerability analysis relies on either system access or dynamic interaction, all of which may be unavailable to third-party analysts auditing closed-source, remotely…

cs.CR2026

ARVO: Atlas of Reproducible Vulnerabilities for Open-Source Software

Xiang Mei, Jordi Del Castillo, Pulkit Singh Singaria +8

Achieving reproducibility, quantity, and diversity in vulnerability datasets has long been viewed as an inherent three-way trade-off, where improving one dimension often comes at t…

cs.CR2026

Root-Cause-Driven Automated Vulnerability Repair

Hulin Wang, Zion Leonahenahe Basque, Jie Hu +13

Recent LLM-based systems have made automated vulnerability repair increasingly practical, but two challenges remain. First, without strong signals about where a bug originates, rep…

cs.CR2024

ARVO: Atlas of Reproducible Vulnerabilities for Open-Source Software

Xiang Mei, Jordi Del Castillo, Pulkit Singh Singaria +8

Achieving reproducibility, quantity, and diversity in vulnerability datasets has long been viewed as an inherent three-way trade-off, where improving one dimension often comes at t…

cs.CR2024

Take a Step Further: Understanding Page Spray in Linux Kernel Exploitation

Ziyi Guo, Dang K Le, Zhenpeng Lin +6

Recently, a novel method known as Page Spray emerges, focusing on page-level exploitation for kernel vulnerabilities. Despite the advantages it offers in terms of exploitability, s…