Bad Bots Now Account For 30% of All Internet Traffic

The volume of Internet traffic originating from automated malware has increased by 2.5% since 2021 to more than 30%, the highest figure since Imperva’s first project. Bad bot report in 2013.

Billions of dollars are lost annually to malicious bot attacks, which can lead to account compromise, data theft, spam, higher infrastructure and support costs, customer churn and degraded online services, Imperva stated in its latest edition of the full-length report.

Read more about bad bots: Bad bots could disrupt #COVID19 vaccine deployment.

Imperva warned that this traffic is becoming harder to identify, with “advanced” bad bots now accounting for 51% of all malicious traffic, up from 26% two years ago.

More sophisticated software seeks to simulate human behavior to evade detection, such as by browsing to random IPs, entering through anonymous proxies and switching identities, Imperva said.

Account takeover (ATO) attacks are among the most common to trace back to malicious bots, growing 155% in volume in 2022 as cybercriminals looked to push credential stuffing and hacking attacks brute force About 15% of all login attempts last year were classified as ATO.

APIs were also a popular target for bad bots last year, with 17% of all API attacks coming from malware that exploited flaws in the design and implementation of an API or application to steal data sensitive or access accounts.

More than half of the countries analyzed for the Imperva report had levels of bad bots that exceed the global average, with Germany (69%), Ireland (45%) and Singapore (43%) in the top three. In the US, the share was just above average at 32%.

Travel (25%), retail (21%) and financial services (13%) saw the highest volume of bad bot attacks, although the gaming (59%) and telecommunications (48%) sectors ) had the highest proportion of bad bot traffic. its websites and apps, Imperva said.

Karl Triebes, vice president and general manager of application security at Imperva, argued that the advent of generative AI will increase the impact of malicious bots.

“All organizations, regardless of size or industry, should be concerned about the increasing volume of bad bots on the Internet,” he added.

“Year after year, the proportion of bot traffic is growing, and disruptions caused by malicious automation lead to tangible business risks, from brand reputation issues to reduced online sales and security risks for web applications, mobile applications and APIs”.

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According to the latest research from a leading cybersecurity provider, bad bots now account for 30% of all internet traffic. This might come as a surprise to many as the percentage is steadily increasing, becoming a serious threat to anyone connected to the internet.

At Ikaroa, we take security very seriously and recognize that bad bots can be used for malicious activities such as harvesting personal data, identity theft, spamming, brute-force attacks and malware distribution, to name a few. To tackle this problem, we have implemented a comprehensive security system, designed to detect and block malicious bots and shield users from potentially dangerous activities.

We employ our proprietary proprietary threat intelligence and analysis service, which allows us to identify, detect and block malicious bots. We also use proprietary techniques such as honeynets and honeypots to detect suspicious traffic. Our services leverage machine learning algorithms and natural language processing technology to detect and block unconventional but highly suspicious activities.

In addition, our team of experienced engineers and security experts regularly monitor threats, analyze and update our security technology to ensure that our clients stay protected from the latest threats.

We encourage everyone using the internet to keep up to date with the latest news on cyber security and stay vigilant when browsing the internet. At Ikaroa, we are committed to providing our clients with the best-in-class security and peace of mind when they use our products and services.


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