1、202424 Bad Bot R202424 Bad Bot ReportTable of ContentsAbout the Imperva Bad Bot Report 03Account Takeover Attacks 11Bad Bots in the Age of Artificial Intelligence30Appendix38Recommendations33Imperva Threat Research42About Imperva Application Security43Definitions0416Executive Summary06The Bad Bot La

2、ndscapeBad Bot Traffic by Industry 16 Bad Bot Sophistication by Industry 21 Most Targeted Industries by Bot Attacks 22 Mobile Chrome and Android Browser Increased in Popularity 23 Mobile User Agents Account for Almost Half of Bot Traffic 25 The Rise of Residential Proxies 26 Bad Bot Traffic Originat

3、ing from Mobile and Residential ISPs Claim Top Spots 26 Bad Bots Across the Globe 27 The United States and the Netherlands Were Targeted the Most by Bot Attacks 29Bad Bot Use Cases 38 Bad Bots by Industry 32024 Imperva Bad Bot ReportThe 11th annual edition of the Imperva Bad Bot Report examines and

4、investigates the nature of automated internet traffic,mainly automated bot attacks.Such attacks are getting more sophisticated by the day,bypassing traditional detection methods and causing chaos on the internet.The report analyzes data collected from the Imperva global network in 2023,including nea

5、rly 6 trillion blocked bad bot requests anonymized across thousands of domains and industries.This report aims to provide meaningful information about the nature and impact of bots to help organizations better understand the potential risks of bot traffic when not adequately managed.The report focus

6、es on bad bot activity at the OSI models application layer(layer 7).These bot use cases are entirely different from volumetric DDoS attacks,which manipulate lower-level network protocols.Bad bots interact with applications in a way that mimics legitimate users,making them more challenging to detect