UUSEC WAF

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:dart: Technical advantages

:ophiuchus: Intelligent 0-day defense

UUSEC WAF innovatively applies machine learning technology, using anomaly detection algorithms to distinguish and identify HTTP normal and attack traffic, and models whitelist threats to normal traffic. By using machine learning algorithms to automatically learn the parameter characteristics of normal traffic and convert them into corresponding parameter whitelist rule libraries, it is possible to intercept attacks without adding rules when facing various sudden 0-day vulnerabilities, eliminating the pain of website managers having to work late to upgrade as soon as vulnerabilities appear.

:taurus: Ultimate CDN acceleration

UUSEC self-developed cache cleaning feature surpasses the arbitrary cache cleaning function only available in the commercial version of nginx, proxy_cache_purge. The commercial version of nginx only supports * pattern matching to clean the cache, while UUSEC WAF further supports regular expression matching URL path cache cleaning, which has higher flexibility and practicality compared to the commercial version of nginx. Users can enjoy ultimate CDN acceleration while more conveniently solving cache expiration issues.

:virgo: Powerful proactive defense

The self-developed 'HIPS' and 'RASP' functions of UUSEC WAF can achieve more powerful dual layer defense at the system layer and application runtime layer, effectively preventing zero day vulnerability attacks. Host layer active defense can intercept low-level attacks at the system kernel layer, such as restricting process network communication, process creation, file read and write, system privilege escalation, system overflow attacks, etc. Runtime application self-defense RASP is inserted into runtime engines