LFwC

LFwC是一个专为大规模静态分析设计的Linux基础固件数据集，由弗劳恩霍夫FKIE研究所创建。该数据集包含10,913个高质量固件镜像，覆盖2,365个网络设备。LFwC旨在通过提供丰富的元数据和脚本，支持科学研究的重复性和代表性。数据集的创建过程涉及详细的固件获取、解包验证、内容识别和漏洞基础真相的标注。LFwC的应用领域主要集中在固件安全研究，特别是针对Linux基础固件的漏洞检测和分析，旨在解决固件安全领域的代表性和重复性问题。

LFwC is a Linux-based firmware dataset specifically designed for large-scale static analysis, created by the Fraunhofer FKIE Institute. This dataset contains 10,913 high-quality firmware images covering 2,365 network devices. LFwC aims to support the reproducibility and representativeness of scientific research by providing rich metadata and supporting scripts. The dataset creation process involves detailed procedures including firmware acquisition, unpacking verification, content identification, and annotation of ground truth for vulnerabilities. The primary application scenarios of LFwC focus on firmware security research, especially vulnerability detection and analysis for Linux-based firmware, with the objective of addressing the representativeness and reproducibility issues in the firmware security domain.