通过滥用容器的特权和能力(如 CAP_DAC_READ_SEARCH、SYS_ADMIN、SYS_MODULE 等),以及不安全的挂载配置(如 Docker Socket、Host /etc、Host /proc 文件系统),可以实现容器逃逸、后门植入和集群控制等安全风险。
Comparison of various deep learning methods (including but not limited to Graph Convolutional Neural Networks, Generative Adversarial Networks, referenced as DESC [1], scDeepCluster [2], scDMFK [3], scziDesk [4], scAIDE [5], scGMAI [6], scCAN [7], and scDCCA [8]) in data feature extraction and clustering performance evaluation on different test datasets (single-cell RNA sequencing data, spatial transcriptomics data, image data). Comparative analysis of the strengths and weaknesses of different methods.
私人专研 产品已有 解决方案内容后期公布 Solution of Container Security Verification based on EBPF