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.

本数据集通过对现有恶意样本的运用，结合UTRDCL及传统DCL技术以加载恶意组件，进而发起攻击而构建。除恶意样本本身外，我们还提供了来自权威机构的在线检测报告，包括VirusTotal、MobSF以及Bazaar（Pithus）。这些报告对恶意样本进行了全面分析，使研究人员能够更深入地理解攻击及其特征。该数据集旨在促进针对动态类加载攻击的有效检测和缓解策略的研发与评估。