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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/adding-managed-rules-and-tuning-with-count-mode.md

Adding Managed Rules and Tuning with Count Mode

Overview

Domain expertise for adding AWS Managed Rules rule groups to a web ACL and rolling them out without blocking legitimate traffic. Covers matching rule groups to the workload, the web ACL capacity unit (WCU) budget (the basic price covers up to 1,500 WCUs; a web ACL holds a hard maximum of 5,000), the Count-mode-first tuning path, and reading the triggering rule from logs to override just that rule rather than the whole group.

Does not cover rate-based rules, match rules, bot, or fraud rule groups; those are separate references. Logging must already be set up (see the logging reference).

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: which managed rule groups

  • WCU budget: 1,500 priced tier, 5,000 hard maximum

  • Count mode first

  • Override one rule, not the whole group

  • Troubleshooting

  • Procedure

  • Security Considerations

  • Additional Resources

Workflow

To add managed rules and tune them end to end, follow the procedure exactly. See the Procedure section below.

The procedure covers:

  • Selecting managed rule groups that match the workload, within the WCU budget

  • Adding them in Count mode with logging and metrics on

  • Reviewing which legitimate requests would have been blocked

  • Overriding the offending rules and switching the rest to Block

Decision: which managed rule groups

WorkloadRule group
Broad coverage (OWASP Top 10)Core Rule Set (CRS)
Known exploit patternsKnown Bad Inputs
Database-backed applicationSQL database rule group
Reputation filteringAmazon IP reputation list, Anonymous IP list

Constraints:

  • You MUST match rule groups to the workload using the published rule group list, rather than enabling all of them or none

  • You SHOULD start from a small baseline (Core Rule Set plus one or two targeted groups) and add more only as needed

WCU budget: 1,500 priced tier, 5,000 hard maximum

Each managed rule group consumes WCUs against the web ACL's capacity. The basic web ACL price covers up to 1,500 WCUs; beyond that, usage is billed on a tiered model that AWS WAF adjusts automatically. The hard maximum for a web ACL is 5,000 WCUs. The Core Rule Set alone is 700, so a second large group moves into the priced tier quickly.

Constraints:

  • You MUST track WCU usage as rule groups are added, naming the real numbers: the basic price covers up to 1,500 WCUs and the web ACL maximum is 5,000 WCUs

  • You SHOULD account for the Core Rule Set's 700 WCUs before adding a second large group such as Known Bad Inputs or the Anonymous IP list

  • You MUST NOT describe 1,500 as a ceiling or limit; it is the point where tiered pricing begins, not a cap. Crossing 1,500 increases cost but does not block traffic or rule additions

  • You SHOULD note the 5,000 WCU maximum is fixed and not raisable; when a web ACL approaches it, trim or consolidate rules rather than expecting a quota increase

Count mode first

Adding a managed group straight in Block mode can take down legitimate traffic, because the predefined rules match patterns the application uses normally.

Constraints:

  • You MUST add managed rule groups in Count mode first, which records matches without changing how requests are handled

  • You MUST switch to Block only after the customer reviews the Count-mode matches

Override one rule, not the whole group

When a false positive appears, customers often disable the whole rule group and lose its protection. The fix is to override only the offending rule.

Constraints:

  • You MUST identify the triggering rule from the logs and override just that rule to Count using RuleActionOverrides, rather than disabling the group

  • You MUST set the group's OverrideAction to None when using individual RuleActionOverrides; setting OverrideAction to Count overrides the whole group and the individual overrides have no effect

  • You SHOULD note that a rule overridden to Count still adds its labels, so a downstream label-match rule can still act on it

Troubleshooting

Legitimate traffic is blocked after enabling a group

A managed rule is a false positive for this application. Find it in the logs and override just that rule to Count (Override one rule, not the whole group).

The web ACL hit the 5,000 WCU maximum

The combined rule groups exceed the 5,000 WCU hard maximum, which is not raisable. Trim or consolidate rules (WCU budget: 1,500 priced tier, 5,000 hard maximum). Note: crossing 1,500 WCUs does not cause this error; it only moves the web ACL into tiered pricing.

Individual rule overrides have no effect

OverrideAction is set to Count for the whole group, which cancels individual overrides. Set OverrideAction to None (Override one rule, not the whole group).

Procedure

Overview

This procedure adds managed rule groups in Count mode within the WCU budget, tunes false positives, and switches to Block, then surfaces the console link.

Parameters
  • web_acl_name, web_acl_id, scope (required): Identify the web ACL.

  • rule_groups (required): The managed rule groups to add, matched to the workload.

Constraints for parameter acquisition:

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

  • You MUST confirm logging is already enabled before adding rules in Count mode

Steps
1. Verify dependencies

Constraints:

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

  • You MUST confirm logging and request sampling are on (see the logging reference)

2. Add managed rule groups in Count mode

Constraints:

  • You MUST add each rule group with OverrideAction set to Count initially, tracking WCU usage (the basic price covers up to 1,500 WCUs; the web ACL maximum is 5,000)

  • You MUST fetch the current LockToken with get-web-acl immediately before each update-web-acl and pass the full rule set, since --rules is a complete replacement

  • You MUST preserve the web ACL's existing DefaultAction from the get-web-acl response and pass it back as {default_action}; do not assume Allow={}, since that would silently open all unmatched traffic on a web ACL whose default action is Block:

    aws wafv2 get-web-acl --name {web_acl_name} --scope {scope} --id {web_acl_id} --region {region}
    aws wafv2 update-web-acl --name {web_acl_name} --scope {scope} --id {web_acl_id} \
      --lock-token {lock_token} --default-action {default_action} \
      --rules '[{"Name":"AWS-CRS","Priority":1,"Statement":{"ManagedRuleGroupStatement":{"VendorName":"AWS","Name":"AWSManagedRulesCommonRuleSet"}},"OverrideAction":{"Count":{}},"VisibilityConfig":{"SampledRequestsEnabled":true,"CloudWatchMetricsEnabled":true,"MetricName":"AWS-CRS"}}]' \
      --visibility-config SampledRequestsEnabled=true,CloudWatchMetricsEnabled=true,MetricName={web_acl_name} \
      --region {region}
3. Review and tune

Constraints:

  • You MUST review the Count-mode matches in the logs and sampled requests over a representative period

  • You MUST override only the rules that produce false positives, using RuleActionOverrides with the group's OverrideAction set to None

Constraints:

  • You MUST switch the tuned groups to enforce by setting OverrideAction to None and let the group's own actions apply

  • You MUST present the web ACL console link and tell the customer to open it and confirm the rules and their actions:

    https://us-east-1.console.aws.amazon.com/wafv2/homev2/web-acls?region={region}
Example
Example input
{
  "web_acl_name": "example-webacl",
  "web_acl_id": "abc",
  "scope": "REGIONAL",
  "rule_groups": ["AWSManagedRulesCommonRuleSet", "AWSManagedRulesKnownBadInputsRuleSet"]
}
Example output
Added Core Rule Set (700 WCU) and Known Bad Inputs (200 WCU) in Count mode — 900 WCUs used (within the 1,500 base-price tier; web ACL max is 5,000).
Reviewed matches, overrode CrossSiteScripting_BODY to Count for the API path false positive.
Switched the rest to Block.
Open the web ACL and confirm the rules and actions:
https://us-east-1.console.aws.amazon.com/wafv2/homev2/web-acls?region=us-east-1
Troubleshooting
Legitimate traffic blocked

Find the offending rule in the logs and override just it to Count (Step 3).

Capacity maximum hit

The groups exceed the 5,000 WCU maximum (not 1,500, which is only a pricing threshold). Trim or consolidate rules (Step 2).

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.

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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