4 papers
Implicit Patterns in LLM-Based Binary Analysis
Qiang Li, XiangRui Zhang, Haining Wang
Binary vulnerability analysis is increasingly performed by LLM-based agents in an iterative, multi-pass manner, with the model as the core decision-maker. However, how such systems…
LLMs as Firmware Experts: A Runtime-Grown Tree-of-Agents Framework
Xiangrui Zhang, Zeyu Chen, Haining Wang +1
Large Language Models (LLMs) and their agent systems have recently demonstrated strong potential in automating code reasoning and vulnerability detection. However, when applied to…
Automatically Generating Rules of Malicious Software Packages via Large Language Model
XiangRui Zhang, HaoYu Chen, Yongzhong He +2
Today's security tools predominantly rely on predefined rules crafted by experts, making them poorly adapted to the emergence of software supply chain attacks. To tackle this limit…
An Analysis of Malicious Packages in Open-Source Software in the Wild
Xiaoyan Zhou, Ying Zhang, Wenjia Niu +3
The open-source software (OSS) ecosystem suffers from security threats caused by malware.However, OSS malware research has three limitations: a lack of high-quality datasets, a lac…