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The Changing Landscape of Automated Attacks on Web and Mobile Apps
In recent years, we have witnessed an unprecedented surge in automated attacks targeting online businesses. These attacks are aimed at validating stolen payment card details, scraping content, taking over accounts and sometimes even slowing down the target website. In the last post, I had highlighted how competitors could be behind some of these attacks. Now, to dig deeper into the presence of bad bots across industries, recently we conducted quarterlong research, the findings of the study are covered in a report aptly titled “The Big, Bad Bot Problem Q3 2018.” The research revealed that the latest breed of bad bots leverages cutting-edge technologies including machine learning and robotic process automation (RPA) to masquerade as genuine users and attack online businesses. The report that is based on the analysis of traffic on thousands of anonymized domains during Q2 and Q3 2018 unveils that cyberattackers target businesses across industries. However, a few industries are considerably more affected by bad bots than others. Travel (20.1 percent), e-commerce (18.3 percent) and real estate (13.7 percent).
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