In our paper we analyze the attack surface of German hospitals and healthcare providers in 2020 during the COVID-19 Pandemic. The analysis looked at the publicly visible attack surface utilizing a Distributed Cyber Recon System, utilizing distributed Internet scanning, Big Data methods and scan data of 1,483 GB from more than 89 different global Internet scans. From the 1,555 identified German clinical entities, security posture analysis was conducted by looking at more than 13,000 service banners for version identification and subsequent CVE-based vulnerability identification. Primary analysis shows that 32 percent of the analyzed services were determined as vulnerable to various degrees and 36 percent of all hospitals showed numerous vulnerabilities. Further resulting vulnerability statistics were mapped against size of organization and hospital bed count.

中文翻译：

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流行性？COVID-19大流行期间德国医院的攻击面

在本文中，我们分析了2020年COVID-19大流行期间德国医院和医疗服务提供者的攻击面。分析着眼于使用分布式网络侦察系统的公开可见攻击面，该系统使用了分布式Internet扫描，大数据方法以及来自89种不同的全球Internet扫描的1,483 GB扫描数据。从1,555个已确定的德国临床实体中，通过查看13,000多个服务横幅以进行版本识别和随后的基于CVE的漏洞识别，进行了安全状态分析。初步分析表明，被分析的服务中有32％被确定为容易受到不同程度的攻击，而所有医院中有36％的服务显示出许多漏洞。