ikala-cloud.aws-waf-solution 1.0.57
Cloudfront,ALB and API Gateway with Automated WAF
License: Apache-2.0
Requires Python: >=3.6

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:warning: This branch support cdk version 1 only, check [here](https://github.com/iKala-Cloud/aws-waf-solution) if you use cdk version 2.

# AWS WAF Solution

This CDK Construct modify and rebuild from [Cloudfront with Automated WAF](https://github.com/awslabs/aws-cloudfront-extensions/tree/main/templates/aws-cloudfront-waf).

The solution use CDK construct to automatically deploy a set of AWS WAF rules design to filter common web-based attacks.Users can select from preconfigured protective features that define the rules included in an AWS WAF web access control list (web ACL). After the solution deploys, AWS WAF begins inspecting web requests to the user’s existing Amazon CloudFront distributions、Application Load Balancers、API Gateway, and blocks them when applicable.

## What is difference

* The project is CDK Construct which is handy to integrate into your existing CDK project.
* Support count mode for testing WAF rule, see [API.md](https://github.com/iKala-Cloud/aws-waf-solution/blob/main/API.md#countmodeoptional-).
* Support Application Load Balancers and API Gateway (The origin repository doesn't support ALB any more in next release, see [issue](https://github.com/awslabs/aws-cloudfront-extensions/issues/164) )
* AWS Shield Advance is optional (The origin repository enforce to enable it)

## Construct Props

Ref [API Reference](API.md)

## CloudFront Usage

```python
const envUSEast1 = {
  region: 'us-east-1',
  account: process.env.CDK_DEFAULT_ACCOUNT,
};

const stackTest1 = new cdk.Stack(app, 'TestStackAutomatedWafForCloudFront', { env: envUSEast1 });

new AutomatedWaf(stackTest1, 'AutomatedWaf', {
  waf2Scope: Waf2ScopeOption.CLOUDFRONT,
  resourceNamingPrefix: 'CloudFront_ApiGW',
  errorThreshold: 55,
  requestThreshold: 300,
  blockPeriod: 60,
  logLevel: LogLevel.DEBUG,
});
```

Notice the WAF region must be `us-east-1` for CloudFront.

After deploying, it need to do two things on AWS Management Console.

***1. Attach Cloudfront to WAF.***

Click `add AWS Resources`

![CloudFront-3](https://user-images.githubusercontent.com/7465652/136758293-bd1b7d86-2775-456f-a176-ff508fb91fd1.jpg)

Select existing CloudFront Distribution.

![CloudFront-4](https://user-images.githubusercontent.com/7465652/136758304-582141ab-6bb7-4aa5-b236-4b656ef53e1f.jpg)

***2. Set S3 bucket on CloudFront standand logging***

Find S3 bucket name on CloudFormation output

![CloudFront-1](https://user-images.githubusercontent.com/7465652/136758257-9dd42b8d-163e-4775-aba4-da33358d9497.jpg)

Set CloudFront standard logging on CloudFront Settings

![CloudFront-2](https://user-images.githubusercontent.com/7465652/136758273-95ae32c3-091a-4bef-a9de-57406ceee3b6.jpg)

:warning: Log Prefix must be `AWSLogs/`

## Application Load Balancers Usage

```python
const env = {
  region: process.env.CDK_DEFAULT_REGION,
  account: process.env.CDK_DEFAULT_ACCOUNT,
};

const stackTest2 = new cdk.Stack(app, 'TestStackAutomatedWafForALB', { env });

const albArn = `arn:aws:elasticloadbalancing:${cdk.Aws.REGION}:${cdk.Aws.ACCOUNT_ID}:loadbalancer/app/ApiNe-Alb16-2VIC9075YQEZ/db92cdc88d2e7c9d`;

new AutomatedWaf(stackTest2, 'AutomatedWaf', {
  waf2Scope: Waf2ScopeOption.REGIONAL,
  associatedResourceArn: albArn,
  resourceNamingPrefix: 'Alb_Api',
  errorThreshold: 50,
  requestThreshold: 300,
  blockPeriod: 60,
  logLevel: LogLevel.DEBUG,
});
```

After deploying, follow these steps on AWS Management Console. See below:

Find S3 bucket name on CloudFormation output

![CloudFront-1](https://user-images.githubusercontent.com/7465652/136758257-9dd42b8d-163e-4775-aba4-da33358d9497.jpg)

Click `Edit Attributes` on Basic Configuration of Load Balancers

![ALB-1](https://user-images.githubusercontent.com/7465652/136764403-4a02a436-c799-4cb4-85b9-c221696a1f9e.jpg)

Enable Access logs and input S3 bucket

![ALB-2](https://user-images.githubusercontent.com/7465652/136764407-985d48ed-323c-4aad-b210-72ae09648845.jpg)

## API Gateway Usage

```python
const env = {
  region: process.env.CDK_DEFAULT_REGION,
  account: process.env.CDK_DEFAULT_ACCOUNT,
};

const stackTest3 = new cdk.Stack(app, 'TestStackAutomatedWafForApiGW', { env });

/**
 * Ref Stage arn in https://docs.aws.amazon.com/apigateway/latest/developerguide/arn-format-reference.html
 */
const restApiArn = `arn:aws:apigateway:${cdk.Aws.REGION}::/restapis/0j90w09yf9/stages/prod`;

new AutomatedWaf(stackTest3, 'AutomatedWaf', {
  waf2Scope: Waf2ScopeOption.REGIONAL,
  associatedResourceArn: restApiArn,
  resourceNamingPrefix: 'ApiGW',
  errorThreshold: 50,
  requestThreshold: 300,
  blockPeriod: 60,
  logLevel: LogLevel.DEBUG,
});
```

## Troubleshooting

If deployment error, the cloudFormation Error event like this

```
Received response status [FAILED] from custom resource. Message returned: 'HttpFloodLambdaLogParser' (RequestId: b4e08ea2-fe0a-46f8-98aa-6f96d4558579)
```

If any custom resource deploy error like above, delete the stack and redeploy it that will pass.