![]() ![]() This means there's no need for manual rule enforcement or maintenance. It uses contextual ML to identify and detect malicious web requests preemptively. Open-appsec is a fully automated WAF solution for securing modern web services and APIs. It secures data and credentials using the managed AWS WAF rule group but also comes at an additional cost. However, you'll need to pay additional fees for using the AWS WAF Bot Control managed rule group.ĪWS WAF Fraud Control can protect your app's login page from unauthorized sign-in attempts. Moreover, bot visibility is clear on the intuitive Bot Control dashboard, where you can easily block scrapers, crawlers, and other invasive bots. In addition, you can define rules to enforce various handling methods for bots, including rate limiting, CAPTCHA, and challenge actions. For instance, it can detect standard and advanced bots based on their signature and heuristics. The AWS WAF Bot Control mechanism provides adequate protection against bot attacks. If you're using vendor-supported rules for AWS WAF, you'll need to tune the inspection levels accordingly. But handling oversize content depends on various factors and must be done correctly. You can inspect oversize contents by specifying oversize handling in the component specification. This means that if an attacker knows this and includes the payload after the first 8 KB of the request, AWS WAF will not block it in default settings. However, as you'll soon learn, managed services, like AWS WAF, can quickly become costly if you start purchasing premium add-ons.Īnother drawback of AWS WAF is that it doesn't support inspecting large chunks of the request body. You can buy these rule sets from the AWS Marketplace or supported partners. The managed rule sets that are included with AWS WAF offer some protection however, you may still need to create a custom rule set that fits your specific use case. Therefore, you need a strong rule set to protect your app from complex attacks. The effectiveness of rule-based WAFs depends mainly on the quality of the rules. In addition, frequent rule updates are required to block newer threats. As such, AWS WAF only detects known attack types and cannot protect from zero-day attacks. ![]() ![]() However, signature-based detection models are reactive by design. In addition, it uses signature-based threat detection to prevent many common web attacks, including SQL injections, cross-site scripting (XSS) attacks, distributed denial-of-service (DDoS) attacks, and botnets.ĪWS WAF's threat detection model can be effective against both regular and targeted attacks. You can define rules for inspecting various parts of a web request, including the body, header, and cookie. Rules in AWS WAF are definitions of how to parse the HTTP request for inspection and what to do when a rule matches. However, each tool has certain features that the other lacks.ĪWS WAF is a security service from AWS that monitors and blocks suspicious traffic using a rule-based system. In this article, you'll compare these two WAFs based on their core feature set, installation experience, documentation quality, ease of use, and pricing and support.ĪWS WAF and open-appsec both offer a robust set of features for blocking malicious HTTP requests. open-appsec uses an innovative machine learning (ML)–based threat engine that automatically prevents and blocks suspicious requests. In these cases, it's best to opt for an advanced WAF solution, like open-appsec. As a result, traditional WAFs often fail to block sophisticated attacks faced by critical systems. However, rule-based firewalls, like the one AWS offers, are only as secure as the rules they follow. Amazon Web Services (AWS) WAF is a popular choice due to its seamless integration with other AWS services as well as its ability to protect from a wide range of common attacks. Web application firewalls (WAFs) are the first layer of defense for protecting your apps or services from threat actors. ![]()
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