Malicious bots are controlled by cyberattackers who use them for a variety of purposes like scraping competitor data, spamming forums, creating fake accounts, and conducting e-commerce fraud. They can also distort marketing analytics, slow down website performance, and steal store credit and gift cards. While good bots are used for customer service, aggregating news and entertainment, calendar functionality, and search functionality, bad bots are sent from competitors to scrape pricing information, conduct abandonment campaigns on e-commerce checkout portals, and distort marketing analytics.

How to detect Bot Traffic

Bot website detection is complex and requires advanced website security tools that monitor dozens of potential bot signals. These include browser details, mouse movements, scrolling behavior, HTTP headers, and request rates. Using machine learning models to establish a baseline for human user activity, an advanced bot detection solution will identify anomalies that suggest a visitor is automated software.

Common signs of a bot attack include a high bounce rate, an increase in new visitors and sessions, server performance degradation, and suspicious IP addresses/geo-locations. An abnormally high number of visits from the same IP address within a short period of time may be an indicator that a bot is at work on your site.

How to Check the Name Associated with a Phone Number

Another way to detect a bot attack is by analyzing how long the average session duration of your website visitors lasts, as well as the average page duration. Generally, real human users spend longer on pages and navigate around your website in a logical way based on their interests. Bots, on the other hand, tend to access a series of pages in a predictable order.