Skip to main content Inicio Creadores oyi77 1ai-skills detecting-aws-guardduty-findings-automation
detecting-aws-guardduty-findings-automation Use when automating AWS GuardDuty threat detection findings processing using EventBridge and Lambda to enable real-time incident response, automatic quarantine of compromised resources, and security notification workflows.
Ir a la instalación Skills Marketplace Descubre y explora habilidades de IA creadas por la comunidad.
Ocupaciones relacionadas SOC
Basado en la clasificación ocupacional SOC
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Mostrar detalles del prompt Un comando directo omite el prompt de revisión. Revisa el origen antes de ejecutarlo.
npx skills add https://github.com/oyi77/1ai-skills --skill detecting-aws-guardduty-findings-automationEl comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.
¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.
Descargar Zip Descargando... name detecting-aws-guardduty-findings-automation description Use when automating AWS GuardDuty threat detection findings processing using EventBridge and Lambda to enable real-time incident response, automatic quarantine of compromised resources, and security notification workflows. domain cybersecurity subdomain cloud-security tags ["aws","guardduty","eventbridge","lambda","threat-detection","automation","incident-response","siem"] version 1.0 author oyi77 license Apache-2.0 nist_csf ["PR.IR-01","ID.AM-08","GV.SC-06","DE.CM-01"]
Detecting AWS GuardDuty Findings Automation
Overview
Amazon GuardDuty is a threat detection service that continuously monitors AWS accounts for malicious activity and unauthorized behavior. By integrating GuardDuty with Amazon EventBridge and AWS Lambda, security teams achieve automated, real-time responses to threats, reducing mean time to response (MTTR) from hours to seconds. GuardDuty analyzes VPC Flow Logs, CloudTrail management and data events, DNS logs, EKS audit logs, and S3 data events.
When to Use
Trigger phrases:
"detecting aws guardduty findings automation"
"Automate AWS GuardDuty threat detection findings processing using EventBridge an"
When investigating security incidents that require detecting aws guardduty findings automation
When building detection rules or threat hunting queries for this domain
When SOC analysts need structured procedures for this analysis type
When validating security monitoring coverage for related attack techniques
Prerequisites
AWS account with GuardDuty enabled
IAM roles for Lambda execution
EventBridge configured for GuardDuty events
SNS topic for security notifications
Security Hub integration (recommended)
Enable GuardDuty
aws guardduty create-detector --enable --finding-publishing-frequency FIFTEEN_MINUTES
aws guardduty update-detector \
--detector-id DETECTOR_ID \
--data-sources '{
"S3Logs": {"Enable": true},
"Kubernetes": {"AuditLogs": {"Enable": true}},
"MalwareProtection": {"ScanEc2InstanceWithFindings": {"EbsVolumes": true}},
"RuntimeMonitoring": {"Enable": true}
}'
EventBridge Rule Configuration
This section covers eventbridge rule configuration for detecting aws guardduty findings automation.
Ensure all prerequisites are met before proceeding
Follow the documented workflow steps in sequence
Record results and any anomalies encountered during this phase
Rule for high-severity findings
{
"source" : [ "aws.guardduty" ]
,
"detail-type"
:
[
"GuardDuty Finding"
]
,
"detail"
:
{
"severity"
:
[
{
"numeric"
:
[
">="
,
7.0
]
}
]
}
}
Create EventBridge rule via CLI aws events put-rule \
--name "guardduty-high-severity" \
--event-pattern '{
"source": ["aws.guardduty"],
"detail-type": ["GuardDuty Finding"],
"detail": {
"severity": [{"numeric": [">=", 7.0]}]
}
}'
aws events put-targets \
--rule "guardduty-high-severity" \
--targets "Id" ="lambda-handler" ,"Arn" ="arn:aws:lambda:us-east-1:123456789012:function:guardduty-response"
Lambda Automated Response Functions This section covers lambda automated response functions for detecting aws guardduty findings automation.
Ensure all prerequisites are met before proceeding
Follow the documented workflow steps in sequence
Record results and any anomalies encountered during this phase
EC2 Instance Isolation import boto3
import json
import os
ec2 = boto3.client('ec2' )
sns = boto3.client('sns' )
QUARANTINE_SG = os.environ.get('QUARANTINE_SECURITY_GROUP' )
SNS_TOPIC = os.environ.get('SNS_TOPIC_ARN' )
def lambda_handler (event, context ):
finding = event['detail' ]
finding_type = finding['type' ]
severity = finding['severity' ]
account_id = finding['accountId' ]
region = finding['region' ]
resource = finding.get('resource' , {})
resource_type = resource.get('resourceType' , '' )
if resource_type == 'Instance' :
instance_id = resource['instanceDetails' ]['instanceId' ]
instance_tags = {t['key' ]: t['value' ]
for t in resource['instanceDetails' ].get('tags' , [])}
if instance_tags.get('SecurityStatus' ) == 'Quarantined' :
return {'statusCode' : 200 , 'body' : 'Already quarantined' }
instance = ec2.describe_instances(InstanceIds=[instance_id])
current_sgs = [sg['GroupId' ] for sg in
instance['Reservations' ][0 ]['Instances' ][0 ]['SecurityGroups' ]]
ec2.create_tags(
Resources=[instance_id],
Tags=[
{'Key' : 'SecurityStatus' , 'Value' : 'Quarantined' },
{'Key' : 'GuardDutyFinding' , 'Value' : finding_type},
{'Key' : 'OriginalSecurityGroups' , 'Value' : ',' .join(current_sgs)},
{'Key' : 'QuarantineTime' , 'Value' : finding['updatedAt' ]}
]
)
if QUARANTINE_SG:
ec2.modify_instance_attribute(
InstanceId=instance_id,
Groups=[QUARANTINE_SG]
)
volumes = ec2.describe_volumes(
Filters=[{'Name' : 'attachment.instance-id' , 'Values' : [instance_id]}]
)
for vol in volumes['Volumes' ]:
ec2.create_snapshot(
VolumeId=vol['VolumeId' ],
Description=f'GuardDuty forensic snapshot - {finding_type} ' ,
TagSpecifications=[{
'ResourceType' : 'snapshot' ,
'Tags' : [
{'Key' : 'Purpose' , 'Value' : 'ForensicCapture' },
{'Key' : 'SourceInstance' , 'Value' : instance_id},
{'Key' : 'FindingType' , 'Value' : finding_type}
]
}]
)
sns.publish(
TopicArn=SNS_TOPIC,
Subject=f'[GuardDuty] {finding_type} - Instance {instance_id} Quarantined' ,
Message=json.dumps({
'action' : 'instance_quarantined' ,
'instance_id' : instance_id,
'finding_type' : finding_type,
'severity' : severity,
'account' : account_id,
'region' : region,
'original_security_groups' : current_sgs,
'description' : finding.get('description' , '' )
}, indent=2 )
)
return {
'statusCode' : 200 ,
'body' : f'Instance {instance_id} quarantined and snapshots created'
}
return {'statusCode' : 200 , 'body' : 'Non-EC2 finding processed' }
IAM Credential Compromise Response import boto3
import json
import os
iam = boto3.client('iam' )
sns = boto3.client('sns' )
SNS_TOPIC = os.environ.get('SNS_TOPIC_ARN' )
def lambda_handler (event, context ):
finding = event['detail' ]
finding_type = finding['type' ]
if 'IAMUser' not in finding_type and 'UnauthorizedAccess' not in finding_type:
return {'statusCode' : 200 , 'body' : 'Not an IAM finding' }
resource = finding.get('resource' , {})
access_key_details = resource.get('accessKeyDetails' , {})
user_name = access_key_details.get('userName' , '' )
access_key_id = access_key_details.get('accessKeyId' , '' )
if not user_name:
return {'statusCode' : 200 , 'body' : 'No user identified' }
actions_taken = []
if access_key_id and access_key_id != 'GeneratedFindingAccessKeyId' :
try :
iam.update_access_key(
UserName=user_name,
AccessKeyId=access_key_id,
Status='Inactive'
)
actions_taken.append(f'Deactivated access key {access_key_id} ' )
except Exception as e:
actions_taken.append(f'Failed to deactivate key: {str (e)} ' )
deny_policy = {
"Version" : "2012-10-17" ,
"Statement" : [{
"Effect" : "Deny" ,
"Action" : "*" ,
"Resource" : "*"
}]
}
try :
iam.put_user_policy(
UserName=user_name,
PolicyName='GuardDuty-DenyAll-Quarantine' ,
PolicyDocument=json.dumps(deny_policy)
)
actions_taken.append(f'Applied deny-all policy to {user_name} ' )
except Exception as e:
actions_taken.append(f'Failed to apply deny policy: {str (e)} ' )
sns.publish(
TopicArn=SNS_TOPIC,
Subject=f'[GuardDuty] IAM Compromise - {user_name} ' ,
Message=json.dumps({
'finding_type' : finding_type,
'user' : user_name,
'access_key' : access_key_id,
'actions_taken' : actions_taken,
'severity' : finding['severity' ]
}, indent=2 )
)
return {'statusCode' : 200 , 'body' : json.dumps(actions_taken)}
Terraform Deployment resource "aws_guardduty_detector" "main" {
enable = true
finding_publishing_frequency = "FIFTEEN_MINUTES"
datasources {
s3_logs { enable = true }
kubernetes { audit_logs { enable = true } }
malware_protection {
scan_ec2_instance_with_findings {
ebs_volumes { enable = true }
}
}
}
}
resource "aws_cloudwatch_event_rule" "guardduty_high" {
name = "guardduty-high-severity"
description = "GuardDuty high severity findings"
event_pattern = jsonencode({
source = ["aws.guardduty"]
detail-type = ["GuardDuty Finding"]
detail = {
severity = [{ numeric = [">=", 7.0] }]
}
})
}
resource "aws_cloudwatch_event_target" "lambda" {
rule = aws_cloudwatch_event_rule.guardduty_high.name
arn = aws_lambda_function.guardduty_response.arn
}
Finding Categories Category Severity Range Examples Backdoor 5.0 - 8.0 Backdoor:EC2/C&CActivity CryptoCurrency 5.0 - 8.0 CryptoCurrency:EC2/BitcoinTool Trojan 5.0 - 8.0 Trojan:EC2/BlackholeTraffic UnauthorizedAccess 5.0 - 8.0 UnauthorizedAccess:IAMUser/ConsoleLogin Recon 2.0 - 5.0 Recon:EC2/PortProbeUnprotected Persistence 5.0 - 8.0 Persistence:IAMUser/AnomalousBehavior
Multi-Account Setup
aws guardduty enable-organization-admin-account \
--admin-account-id 111111111111
aws guardduty update-organization-configuration \
--detector-id DETECTOR_ID \
--auto-enable
When NOT to Use
You need to perform the attack to test detection (use performing-* skills)
Task is about analyzing past incidents (use analyzing-* skills)
You need to implement detection rules (use implementing-* skills)
Task is about threat hunting proactively (use hunting-* skills)
You don't have access to logs or monitoring data
Task requires incident response (use IR skills)
Red Flags
Performing actions without explicit written authorization from the asset owner
Testing against production systems without a defined scope and rules of engagement
Modifying cloud IAM policies or security groups without approval
Exposing cloud credentials or secrets in logs or reports
Running scans that generate excessive API calls and trigger billing alerts
Verification
All steps executed successfully against a test environment before production use
Output documented with screenshots or logs demonstrating expected behavior
Cloud resource changes reverted or documented as intentional
IAM policies reviewed for least-privilege compliance after testing
No residual test resources left running (cost and security check)
References
Process
Analyze the task requirements
Apply domain expertise
Verify output quality
Anti-Rationalization Table Rationalization Reality "We are too small to be targeted" Automated attacks target everyone. Size does not matter. "Security slows us down" A breach slows you down 100x more. Build security in from the start. "We will fix it after launch" Vulnerabilities in production are exploited within hours. Fix before deploy.
