There is a rapid evolution of bots that are becoming more sophisticated day by day. We witnessed much faster and smarter bot evolution when we protected our clients from malicious bots year after year, which is our biggest motivation to continue upgrading GeeTest CAPTCHA and the techniques behind our service.

GeeTest launched GeeTest Adaptive CAPTCHA in 2021. It’s the 4th generation of GeeTest CAPTCHA that delivers a security-first dynamic approach to help websites and mobile apps take the initiative in bot detection and fraud prevention. 

It’s been roughly a year since the initial launch of GeeTest Adaptive CAPTCHA, and we decided to release a technical white paper to publish the "backstage story" of GeeTest CAPTCHA to our clients and anyone who is interested in bot management solutions. It contains the status quo of bot management, bot evolution, and the core techniques that power GeeTest Adaptive CAPTCHA.

Click the image to download the white paper

Here are the takeaways from the white paper.

1. Bad bots represent a serious threat to digital businesses

Bot problems now frequently become the first sign of online fraud in digital businesses, and pose a serious threat to customers of websites and mobile apps. Because bots are evolved into an advanced stage that they can mimic human behavior, like mouse movements and clicks, to deceive bot detection methods, and use headless browser software to simulate browser technology.

2. The most common ways that bad bots target websites and mobile apps

Based on GeeTest data studio, organizations in the e-commerce, blockchain, video games, and financial service sectors are repeatedly targeted by cybercriminals. The four most common bad bot attacks are Account takeover (ATO) attacks, Credit card fraud, Web scraping, and Ticket scalping.

3. GeeTest's Breakthroughs

Proactive CAPTCHA challenge updates

  • Anti-recognition model: GeeTest CAPTCHA v4's anti-recognition model is derived from a variety of image recognition models that GeeTest collected through years of bot defense. It prohibits attackers from collecting and labeling CAPTCHA image samples for browser emulator CAPTCHA solving.

  • Image database update: it keeps the image dataset always fresh and prevents brute force attacks.

Adaptive bot traffic detecting and labeling methods

  • Dynamic Encryption: it assists clients' security systems in accurately detecting malicious bots and human-driven attacks more than ever before.

  • RAD Labeling: a honeypot method that protects the website and app without alerting attackers.

To read more about the current landscape of human/bot verification and the technology behind GeeTest Adaptive CAPTCHA, you can download the technical white paper via the link below or sign up for a 30-day free trial today!

Download GeeTest Adaptive CAPTCHA Technical White Paper!

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Hayley Hong

Content Marketing @ GeeTest