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12/02/2021

Web Application Attacks Grow Reliant on Automated Tools

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Cyber Defense

Cybercriminals targeting Web applications have grown more reliant on automated tools in their attacks, report Barracuda Networks researchers who analyzed two months of attack data. 

The top five threat types were dominated by attacks deployed using automated tools, they found. Fuzzing attacks (19.46%) were most prevalent, followed by injection attacks (12.07%), fake bots (12.02%), application distributed denial-of-service (9.29%), and blocked bots (1.2%). 

Automated attacks rely on bots to exploit vulnerabilities in Web applications, and there are two classes of attackers who use them. The larger amount of traffic comes from attackers who don't try to target a specific website but deploy automated attacks at scale. Another, smaller group uses automated tools to target e-commerce websites and other sites to generate a profit. 

These threats may take the form of fake bots posing as Google bots to avoid detection, or they could manifest as app DDoS attacks trying to crash a website by quietly overloading a Web app. Most attack traffic came from fuzzing, or reconnaissance, tools used to probe apps for bugs. 

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