What problem does it solve?
Web applications behind cloud load balancers face SQL injection, XSS, credential stuffing, and bot attacks, and misconfigured WAFs either let attacks through or block legitimate users with false positives. This Skill provides a validated workflow for deploying, tuning, and verifying cloud WAF rules so protection actually works.
Core Features & Use Cases
- Managed Rule Deployment: Configure AWS Managed Rules (Common, SQLi, Known Bad Inputs) in Count mode before switching to Block enforcement.
- Rate Limiting & Bot Defense: Create rate-based rules scoped to login endpoints, geo-blocking, and IP reputation lists to stop brute force and credential stuffing.
- False Positive Tuning: Enable WAF logging to S3, analyze blocks with Athena queries, and apply targeted rule exclusions like SizeRestrictions_BODY for upload endpoints.
- Use Case: An e-commerce API under credential stuffing attack gets a 100-requests-per-5-minutes rate rule on /api/auth/login, Bot Control evaluation, and a verified block-mode Web ACL within two weeks.
Quick Start
Ask the AI to create an AWS WAF Web ACL with managed OWASP rule sets in Count mode and a rate-limiting rule protecting your login endpoint.