Sophisticated Malicious Applications based on UTRDCL and DCL

Our dataset is constructed by leveraging existing malware samples and utilizing both UTRDCL and traditional DCL techniques to load the malicious components, thereby launching attacks. In addition to the malware samples themselves, we also provide online detection reports from reputable sources, including VirusTotal, MobSF, and Bazaar (Pithus). These reports offer a comprehensive analysis of the malware samples, enabling researchers to gain a deeper understanding of the attacks and their characteristics. The dataset is designed to facilitate the development and evaluation of effective detection and mitigation strategies against dynamic class loading attacks.

本数据集基于现有恶意软件样本构建，同时采用UTRDCL与传统动态类加载（Dynamic Class Loading, DCL）技术加载恶意组件以发起攻击。除恶意软件样本本身外，本数据集还提供来自权威平台的在线检测报告，涵盖VirusTotal、MobSF以及Bazaar（Pithus）。这些报告可对恶意软件样本展开全面分析，帮助研究人员深入理解相关攻击手段及其特征。本数据集旨在助力针对动态类加载攻击的高效检测与缓解策略的研发与评估工作。