DBAppSecurity DAS Web Application Firewall Logo

DBAppSecurity DAS Web Application Firewall

WAF protecting websites and web apps from OWASP Top 10 and zero-day attacks

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DBAppSecurity DAS Web Application Firewall Description

DAS Web Application Firewall (DAS-WAF) is an application security product that protects websites, web applications, and web-based platforms against application threats. The solution combines machine learning algorithms and threat intelligence to perform multi-dimensional analysis on web traffic to detect and block known and zero-day attacks. The product defends against OWASP Top 10 threats including SQL injection, cross-site scripting (XSS), webshell uploads, directory traversals, and backdoors. It prevents sensitive information leakage such as web application installation directories and web server version information. The solution includes a foundational security engine, intelligent semantic analysis engine, machine learning engine, and behavior analysis engine. DAS-WAF is delivered in both hardware and software forms and supports multiple deployment modes including transparent proxy, reverse proxy, routing, bypass monitoring, and embedded options. The system supports centralized management for unified management of WAFs across different regions or clusters, enabling configuration distribution and centralized log collection and analysis. The solution provides dual-protocol support for both IPv4 and IPv6 stacks under various deployment modes. It offers protection against bot attacks, automated attacks, and cookie attacks while creating real-time custom strategies from network models.

DBAppSecurity DAS Web Application Firewall FAQ

Common questions about DBAppSecurity DAS Web Application Firewall including features, pricing, alternatives, and user reviews.

DBAppSecurity DAS Web Application Firewall is WAF protecting websites and web apps from OWASP Top 10 and zero-day attacks developed by DBAPP Security. It is a Application Security solution designed to help security teams with App Security, Machine Learning, Network Security.

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