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Waf

AWSOfficialPublished by AWS

  • Skill
  • Tool integration
  • Security
  • Apache-2.0
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From the author

Configures AWS WAF to filter web traffic: creating web access control lists (web ACLs) on CloudFront, Application Load Balancers, API Gateway, and AppSync; AWS Managed Rules tuned in Count mode; rate-based rules for HTTP floods; IP set and geographic match rules; Bot Control (Common and Targeted); turning bot labels into a confidence signal; stripping spoofed inbound x-amzn-waf-* headers; recovering the real client IP behind a CDN; Fraud Control (account takeover and account creation fraud prevention); and logging and request sampling. Use when the user wants to protect a web application or API from common exploits, bots, credential stuffing, fake-account creation, or HTTP floods at the application layer (layer 7). Routes to the right per-task procedure in references. Do NOT use for L3/L4 DDoS protection (shieldadvanced skill), multi-account WAF rollout (firewallmanager skill), CloudFront configuration (cloudfront skill), or Route 53 health checks or records (route53 skill).
— the description by AWS

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill acts as a central router for configuring AWS WAF to secure web applications and APIs. It provides structured procedures for creating web ACLs, managing rule sets, implementing bot and fraud control, and configuring logging. The skill emphasizes a secure-by-design approach, requiring logging to be enabled before tuning and enforcing strict header-stripping to prevent spoofing. It covers the full lifecycle of WAF management, from initial setup and association with resources like CloudFront and ALB to advanced mitigation strategies for volumetric abuse and credential stuffing.

What it does

  • Creates and associates web ACLs with CloudFront, ALB, API Gateway, and AppSync.
  • Configures AWS Managed Rules, rate-based rules, and custom IP or geographic match rules.
  • Implements Bot Control and Fraud Control to prevent account takeover and fake-account creation.
  • Provides workflows for logging, request sampling, and tuning rules in Count mode.
  • Enforces security best practices like header stripping and least-privilege IAM.
  • Routes users to specific, self-contained procedures for complex WAF tasks.

When to use it

  • When you need to protect a web application or API from layer 7 exploits and HTTP floods.
  • When implementing bot detection or fraud prevention for login and signup endpoints.
  • When you need to tune managed rules to reduce false positives without blocking legitimate traffic.
  • When you need to recover the real client IP or secure forwarded headers behind a CDN.
  • When you need to manage AI and LLM crawler traffic.

Advantages

  • Reduces risk of misconfiguration by enforcing a logical, step-by-step tuning workflow.
  • Prevents accidental blocking of legitimate traffic through mandatory Count-mode tuning.
  • Ensures security consistency by mandating header-stripping when forwarding signals.
  • Provides clear guidance on WCU budget management and rule group selection.
  • Centralizes complex WAF procedures into a single, reliable reference source.

Usage examples

“How do I set up AWS WAF to block HTTP floods on my Application Load Balancer?”
The agent will guide you through creating a regional web ACL, associating it with your ALB, and configuring a rate-based rule to throttle requests based on IP or session token.
“I am seeing false positives from the Core Rule Set. How do I fix this?”
The agent will instruct you to check your WAF logs to identify the specific rule ID triggering the block, then use the RuleActionOverrides feature to set that specific rule to Count mode.
“How can I protect my login page from credential stuffing?”
The agent will guide you through enabling Fraud Control (Account Takeover Prevention) and configuring the necessary logging and signal-forwarding rules.
“I need to allow traffic only from specific countries. What is the procedure?”
The agent will provide the steps to create a geographic match rule and configure the web ACL's default action to block traffic outside of your allowed list.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/aws/waf/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip waf.zip -d .agents/skills

Documentation by AWS

AWS WAF

Overview

Domain expertise for configuring AWS WAF, the web application firewall that filters HTTP and HTTPS traffic to CloudFront distributions, Application Load Balancers, API Gateway REST APIs, and AppSync GraphQL APIs. Covers web ACL creation and association, AWS Managed Rules, rate-based rules, match rules (IP set and geographic), Bot Control and the signal-forwarding workflows built on top of it, Fraud Control for logins and signups, AI and LLM crawler management, and the logging that every tuning workflow depends on.

This skill is a router. Each customer task maps to a procedure file under references/. Read the matching reference in full before acting, then follow its constraints and steps. The reference files are self-contained: each carries its own decision tables, constraints, procedure, and troubleshooting.

Execute commands using the AWS MCP server when connected (sandboxed execution, audit logging, observability). Fall back to the AWS CLI otherwise. A web ACL's scope is fixed at creation: a CloudFront web ACL must be created in us-east-1 with CLOUDFRONT scope, while a regional web ACL (Application Load Balancer, API Gateway, AppSync) is created in the resource's Region with REGIONAL scope.

Which WAF task do you need?

GoalReference
Create a web ACL and attach it to a resourcecreating a web ACL and associating it with a resource
Set up logging and sampling before tuning anythingsetting up logging and request sampling
Add AWS Managed Rules and tune false positivesadding managed rules and tuning with count mode
Throttle HTTP floods and brute forceadding rate-based rules
Allow or block by IP range or countryusing ip sets and geographic match rules
Detect and control bots (the on-ramp)protecting against bots with bot control
Collapse bot labels into one confidence signalturning bot control labels into a confidence signal
Forward all signals to the origin with one ruleforwarding signals with dynamic label interpolation
Decide what the app does with the forwarded signaladaptive mitigation playbook for forwarded signals
Stop attackers from spoofing forwarded headersstripping inbound waf headers before trusting them
Recover the real client IP behind a CDNrecovering the real client ip behind a cdn
Protect logins and signups from fraudprotecting logins and signups with fraud control
See and manage AI and LLM crawler trafficseeing and managing ai crawler traffic

Routing notes

  • Logging comes before tuning. Every Count-mode tuning workflow assumes logging and request sampling are on. If the customer has not set up logging, run that reference first; otherwise Count-mode tuning has nothing to read.

  • Web ACL scope is fixed at creation. A CloudFront web ACL is CLOUDFRONT scope in us-east-1; a regional resource needs a REGIONAL web ACL in its own Region. Scope cannot be changed later, so the creating reference settles it before anything is built.

  • Bot Control is a chain, not one task. Protecting against bots is the on-ramp (turn on, choose Common vs Targeted, observe). Turning labels into a confidence signal, forwarding that signal, and deciding what the application does with it are three separate references that build on it in that order. The header-stripping reference is the mandatory safety companion whenever a signal is forwarded to the origin.

  • Common vs Targeted is not a soft choice. Common only catches self-identifying bots and known-bad IPs. For login, checkout, or any high-value endpoint facing evasive bots, Targeted with the application integration SDK is required. The bots reference pushes Targeted for real bot threats rather than presenting it as optional.

  • Rate limiting vs Fraud Control. Rate-based rules blunt volumetric HTTP floods. Credential stuffing and fake-account creation are account-based abuse that rate limiting misses; those go to the Fraud Control reference (ATP and ACFP), not the rate-based reference.

  • Forwarded headers need the strip rule. Any time the customer forwards a signal or the client IP to the origin in x-amzn-waf-* headers, the inbound-header-stripping reference is required to prevent spoofing. The confidence-signal, interpolation, and client-IP references all point at it.

  • What lives in other skills. L3/L4 DDoS protection and Shield cost-protection credits are the shieldadvanced skill. Multi-account WAF rollout is the firewallmanager skill. CloudFront and Application Load Balancer configuration are their own skills. This skill builds the WAF rules; it does not configure the resources it protects.

Security Considerations

AWS WAF is itself a security control, so misconfiguration directly weakens an application's defenses. Apply these across every reference:

  • Least-privilege IAM. You MUST grant only the specific wafv2: actions a task needs (for example wafv2:CreateWebACL, wafv2:GetWebACL, wafv2:UpdateWebACL, wafv2:AssociateWebACL, wafv2:PutLoggingConfiguration) rather than wafv2:* or the AWSWAFFullAccess managed policy.

  • Ephemeral credentials. You MUST use IAM roles with temporary credentials (such as an EC2 instance profile, SSO session, or aws sts assume-role) rather than long-lived IAM user access keys when running these WAF CLI commands.

  • Monitor configuration changes. You SHOULD enable AWS CloudTrail on wafv2 management events and set CloudWatch alarms on critical web ACL configuration changes (such as DeleteWebACL and UpdateWebACL rule removals) and on the web ACL's BlockedRequests and CountedRequests metrics, so rule changes and sudden spikes in blocked or counted traffic are detected.

  • Misconfiguration opens access. A web ACL that is created but never associated, or one whose default action is left at Allow with no enforcing rules, filters nothing. You MUST confirm the web ACL is associated and that its posture matches the intended default (block vs allow) before reporting setup complete.

  • Protect log destinations. Logs can capture credentials and session data. You MUST redact sensitive fields (such as the authorization header and cookie) and MUST enable encryption at rest on the log destination (CloudWatch Logs, Amazon S3, or Amazon Data Firehose).

  • Header-spoofing risk. Any x-amzn-waf-* signal forwarded to the origin can be forged inbound. You MUST add the inbound-header-stripping rule whenever a signal or client IP is forwarded (see stripping-inbound-waf-headers-before-trusting-them).

Additional Resources

Files

references/setting-up-logging-and-request-sampling.md

Setting Up Logging and Request Sampling

Overview

Domain expertise for getting AWS WAF logging and request sampling working before any rule is enabled, so Count-mode tuning has data to read. Covers the destination choice (Amazon CloudWatch Logs, Amazon S3, or Amazon Data Firehose) and its traps (the aws-waf-logs- naming prefix, the CloudFront-logs-in-us-east-1 rule), redacting sensitive fields, and confirming logs flow before rules go on.

Does not cover the rules themselves; those are separate references. This reference is the prerequisite the tuning workflows assume.

Execute commands using the AWS MCP server when connected (sandboxed execution, audit logging, observability). Fall back to the AWS CLI otherwise.

Table of Contents

  • Overview

  • Workflow

  • Decision: logging destination

  • Naming and Region constraints

  • Redact sensitive fields

  • Confirm logs are flowing before enabling rules

  • Troubleshooting

  • Procedure

  • Security Considerations

  • Additional Resources

Workflow

To set up logging and sampling end to end, follow the procedure exactly. See the Procedure section below.

The procedure covers:

  • Choosing a logging destination and meeting its naming and Region constraints

  • Redacting sensitive fields before logging is enabled

  • Enabling logging on the web ACL and confirming logs flow

  • Confirming request sampling is on

Decision: logging destination

DestinationBest forLatency
CloudWatch LogsReal-time analysis with Logs Insights and dashboardsSeconds
Amazon S3Long-term retention and Athena queriesMinutes
Amazon Data FirehoseStreaming to a SIEM or OpenSearchSeconds

Constraints:

  • You SHOULD match the destination to the customer's need: CloudWatch Logs for real-time review, S3 for retention and query, Firehose for streaming to a SIEM

Naming and Region constraints

The destination has naming and Region traps that cause logs to silently never arrive.

Constraints:

  • You MUST give the log destination a name carrying the aws-waf-logs- prefix; without it, logs fail silently

  • You MUST send a CloudFront web ACL's logs to a destination in us-east-1

  • You SHOULD confirm the destination's resource policy allows AWS WAF log delivery before enabling

  • You MUST include aws:SourceArn and aws:SourceAccount condition keys in the log destination's resource policy to restrict delivery to the specific web ACL and account and prevent confused-deputy attacks

  • You MUST enable encryption at rest on the log destination (CloudWatch Logs, Amazon S3, or Amazon Data Firehose, ideally with a customer-managed KMS key), since the logs can capture sensitive fields

  • You MUST ensure the log destination accepts delivery only over encrypted channels: CloudWatch Logs delivery uses HTTPS, the S3 bucket policy MUST enforce aws:SecureTransport, and Firehose MUST use HTTPS

Redact sensitive fields

Logging full requests can capture credentials and session cookies in plain text.

Constraints:

  • You MUST redact sensitive fields such as the authorization header and cookie before enabling logging, so secrets are not written to the destination

  • You SHOULD confirm with the customer which fields carry sensitive data for their application

Confirm logs are flowing before enabling rules

Customers assume logging works, enable rules, and find the destination was misconfigured and captured nothing during the tuning window.

Constraints:

  • You MUST confirm logs are arriving at the destination before any rule is enabled

  • You SHOULD confirm request sampling is on (it is part of the web ACL visibility config) so sampled requests are available for tuning

Troubleshooting

No logs arrive at the destination

The destination name is missing the aws-waf-logs- prefix, or its resource policy does not allow AWS WAF delivery. Fix the name or policy (Naming and Region constraints).

A CloudFront web ACL produces no logs

The destination is not in us-east-1. Create a destination there (Naming and Region constraints).

Sensitive fields appear in logs

No redaction is configured. Add redacted fields for authorization and cookie (Redact sensitive fields).

Procedure

Overview

This procedure chooses a logging destination, applies redaction, enables logging on the web ACL, and confirms logs flow, then surfaces the console link.

Parameters
  • web_acl_arn (required): The ARN of the web ACL to log.

  • scope (required): CLOUDFRONT or REGIONAL.

  • destination_arn (required): The ARN of the log destination, its name carrying the aws-waf-logs- prefix.

  • redacted_fields (required): The fields to redact (for example authorization, cookie).

Constraints for parameter acquisition:

  • You MUST ask for all required parameters upfront in a single prompt

  • You MUST confirm a CloudFront web ACL's destination is in us-east-1

Steps
1. Verify dependencies

Constraints:

  • You MUST confirm credentials with aws sts get-caller-identity

  • You MUST confirm the destination name carries the aws-waf-logs- prefix

  • You MUST verify or enable encryption at rest on the log destination before enabling logging, since WAF logs can capture credentials and session data. Use the mechanism for the destination type:

    # CloudWatch Logs: attach a KMS key to the log group
    aws logs associate-kms-key --log-group-name {log_group_name} --kms-key-id {kms_key_arn} --region {region}
    # Amazon S3: confirm default SSE (SSE-S3 or SSE-KMS) is set on the bucket
    aws s3api get-bucket-encryption --bucket {bucket_name}
    # Amazon Data Firehose: confirm server-side encryption is enabled on the stream
    aws firehose describe-delivery-stream --delivery-stream-name {stream_name} --region {region}
2. Enable logging with redaction

Constraints:

  • You MUST put the logging configuration with the redacted fields, passing the whole --logging-configuration as one JSON string (mixing CLI shorthand with inline JSON fails to parse, and LogDestinationConfigs is a list):

    aws wafv2 put-logging-configuration \
      --logging-configuration '{"ResourceArn":"{web_acl_arn}","LogDestinationConfigs":["{destination_arn}"],"RedactedFields":[{"SingleHeader":{"Name":"authorization"}},{"SingleHeader":{"Name":"cookie"}}]}' \
      --region {region}
3. Confirm logs are flowing

Constraints:

  • You MUST confirm log records are arriving at the destination before any rule is enabled

  • You MUST confirm SampledRequestsEnabled is true on the web ACL visibility config

Constraints:

  • You MUST present the web ACL console link and tell the customer to open the Logging and metrics tab to confirm logging is enabled:

    https://us-east-1.console.aws.amazon.com/wafv2/homev2/web-acls?region={region}
Example
Example input
{
  "web_acl_arn": "arn:aws:wafv2:us-east-1:111122223333:regional/webacl/example-webacl/abc",
  "scope": "REGIONAL",
  "destination_arn": "arn:aws:logs:us-east-1:111122223333:log-group:aws-waf-logs-example",
  "redacted_fields": ["authorization", "cookie"]
}
Example output
Enabled logging for web ACL example-webacl to aws-waf-logs-example, redacting authorization and cookie.
Confirmed log records are arriving and request sampling is on.
Logging is ready — Count-mode tuning now has data to read.
Open the web ACL Logging and metrics tab to confirm:
https://us-east-1.console.aws.amazon.com/wafv2/homev2/web-acls?region=us-east-1
Troubleshooting
No logs arrive

The destination name lacks the aws-waf-logs- prefix or its policy blocks delivery (Step 1).

A CloudFront web ACL produces nothing

The destination is not in us-east-1 (Step 1).

Security Considerations

This procedure modifies a security control, so misconfiguration directly weakens the application's defenses.

  • Least-privilege IAM. You MUST grant only the specific wafv2: actions a task needs (for example wafv2:GetWebACL and wafv2:UpdateWebACL) rather than wafv2:* or the AWSWAFFullAccess managed policy.

  • Ephemeral credentials. You MUST use IAM roles with temporary credentials (such as an EC2 instance profile, SSO session, or aws sts assume-role) rather than long-lived IAM user access keys when running these WAF CLI commands.

  • Monitor configuration changes. You SHOULD enable AWS CloudTrail on wafv2 management events and set CloudWatch alarms on critical web ACL configuration changes (such as DeleteWebACL and UpdateWebACL rule removals) and on the web ACL's BlockedRequests and CountedRequests metrics, so rule changes and sudden spikes in blocked or counted traffic are detected.

  • Protect log destinations. Logs can capture credentials and session data. You MUST redact sensitive fields (such as the authorization header and cookie) and MUST enable encryption at rest on the log destination (CloudWatch Logs, Amazon S3, or Amazon Data Firehose).

Additional Resources

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an MCP server

Security

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Attribution and licence

Published by
AWS
Publisher
AWS (Official)
Source
aws/agent-toolkit-for-aws · skills/specialized-skills/networking-and-content-delivery-skills/waf · commit 0a218f8
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • NOTICE (added by AutoGineer from NOTICE)
  • ATTRIBUTION.md (written by AutoGineer)
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