Bad Bot Report 2019

The Year Bad Bots
Went Mainstream

Last year bad bots accounted for 20.4% of all website traffic and they scrape data from sites without permission in order to reuse it (e.g., pricing, inventory levels) and gain a competitive edge.

 

Distil Networks’ 2019 Bad Bot Report investigates the daily attacks that sneak past sensors and wreak havoc on websites. It’s based on 2018 data collected from Distil Networks’ global network and includes hundreds of billions of bad bot requests anonymized over thousands of domains. 

Download your free copy now and learn more about trends in your industry and what recommendations exist for detecting bad bot activity.

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Distil Networks’ 2019 Bad Bot Report investigates the daily attacks that sneak past sensors and wreak havoc on websites. It’s based on 2018 data collected from Distil Networks’ global network and includes hundreds of billions of bad bot requests anonymized over thousands of domains. Our goal is to offer guidance about the nature and impact of automated threats to those of you on the frontlines of website security. What makes this report unique is its focus on bad bot activity at the application layer (layer 7 of the OSI model). Automated application layer attacks differ from volumetric DDoS attacks, the latter of which manipulate lower level network protocols. Bad bots interact with applications in the same way a legitimate user would, making them harder to prevent. They enable high-speed abuse, misuse, and attacks on your websites and APIs. They enable attackers, unsavory competitors, and fraudsters to perform a wide array of malicious activities. Such activities include web scraping, competitive data mining, personal and financial data harvesting, brute-force login and digital ad fraud, spam, transaction fraud, and more.

 

© 2019 Neos IT Services GmbH