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Epidemic? The Attack Surface of German Hospitals during the COVID-19 Pandemic

机译:流行病? 德国医院的攻击表面在Covid-19大流行期间

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In our paper, we analyze the attack surface of German hospitals and healthcare providers in 2020 during the COVID-19 pandemic. A primary analysis found that 32 percent of the analyzed services were vulnerable to various degrees and that 36 percent of all hospitals showed numerous vulnerabilities. Further resulting vulnerability statistics were mapped against the size of organization and hospital bed count. The analysis looked at the publicly visible attack surface utilizing a Distributed Cyber Recon System, through distributed Internet scanning, Big Data methods, and scan data of almost 1.5 TB from more than 89 different global Internet scans. From the 1,555 identified German hospitals and clinical entities, analysis of the external attack surface was conducted by looking at more than 13,000 service banners for version identification and subsequent CVE-based vulnerability identification.
机译:在我们的论文中,我们在Covid-19大流行期间分析了2020年德国医院和医疗保健提供者的攻击面。 初级分析发现,32%的分析服务易受各种程度的影响,所有医院的36%显示了众多漏洞。 进一步产生的漏洞统计数据被拆除了组织和医院床计数的规模。 通过分布式互联网扫描,大数据方法,从89多个不同的全球Internet扫描,通过分布式网络扫描,大数据方法和扫描数据,通过分布式互联网扫描,大数据方法和扫描数据扫描数据。 从1,555名确定的德国医院和临床实体,通过查看超过13,000个服务横幅的版本识别和随后的CVE的漏洞识别来进行外部攻击表面的分析。

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