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The COVID-19 pandemic has disproportionately affected people with diabetes, who are at increased risk of severe COVID-19.* Increases in the number of type 1 diabetes diagnoses (1,2) and increased frequency and severity of diabetic ketoacidosis (DKA) at the time of diabetes diagnosis (3) have been reported in European pediatric populations during the COVID-19 pandemic. In adults, diabetes might be a long-term consequence of SARS-CoV-2 infection (4-7). To evaluate the risk for any new diabetes diagnosis (type 1, type 2, or other diabetes)30 days

Malwareless Web-analytics pollution (MWAP) attack is a type of cross-site attack that has been recently identified and discussed in [1]. The main aim of this attack is to distort the Web-site access logs of the victim/target company, and through that also distort this company's Web-based data analytics as well as its overall business performance. The key characteristics of the MWAP attack is that it is very easy to execute, as it does not involve the use of any malware, and it can be preformed simply by luring a set of random third-party users into visiting a specially crafted decoy Web-page. From that point on, through the sheer process of the decoy Web-page rendering, the browsers of the third-party users end up turning into temporary bots that generate a slew of legitimate looking HTTP request towards the Web-server of the victim site. The goal of our work was to investigate how effective three representative types of Web-analytics solutions (AWStats, Google Analytics and DataDome) would be in detecting several different variants of the MWAP attack. Our obtained experimental results show that, unfortunately, all of these solutions fail to detect some select variants of the MWAP attack, while one of the solutions fails to detect all of the examined MWAP variants. These results are very worrisome as the trend towards malwareless attack vectors is expected to accelerate in the coming years and we are likely to start seeing an increasing number of real-world incidents of the MWAP attack.