Agent skill
securing-aws-lambda-execution-roles
Securing AWS Lambda execution roles by implementing least-privilege IAM policies, applying permission boundaries, restricting resource-based policies, using IAM Access Analyzer to validate permissions, and enforcing role scoping through SCPs.
Install this agent skill to your Project
npx add-skill https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/securing-aws-lambda-execution-roles
SKILL.md
Securing AWS Lambda Execution Roles
When to Use
- When deploying new Lambda functions and defining their IAM execution roles
- When remediating overly permissive Lambda roles discovered during security audits
- When implementing least-privilege access patterns for serverless architectures
- When building reusable IAM templates for Lambda functions across teams
- When Security Hub or Prowler reports Lambda functions with excessive permissions
Do not use for securing Lambda function invocation (use resource-based policies and API Gateway authorizers), for Lambda code security (use SAST tools), or for Lambda network security (use VPC configuration and security groups).
Prerequisites
- IAM permissions for policy creation, role modification, and Access Analyzer operations
- AWS IAM Access Analyzer enabled in the account
- CloudTrail data events enabled for Lambda to capture actual API usage
- Existing Lambda functions to audit and scope permissions for
- Understanding of each function's required AWS service interactions
Workflow
Step 1: Audit Current Lambda Execution Role Permissions
Enumerate all Lambda functions and their associated IAM roles to identify over-privileged functions.
# List all Lambda functions with their execution roles
aws lambda list-functions \
--query 'Functions[*].[FunctionName,Role]' --output table
# For each function, analyze attached policies
for func in $(aws lambda list-functions --query 'Functions[*].FunctionName' --output text); do
role_arn=$(aws lambda get-function-configuration --function-name "$func" --query 'Role' --output text)
role_name=$(echo "$role_arn" | awk -F'/' '{print $NF}')
echo "=== $func -> $role_name ==="
# Check for AWS managed policies (often too broad)
aws iam list-attached-role-policies --role-name "$role_name" \
--query 'AttachedPolicies[*].[PolicyName,PolicyArn]' --output table
# Check inline policies
for policy in $(aws iam list-role-policies --role-name "$role_name" --query 'PolicyNames' --output text); do
echo " Inline: $policy"
aws iam get-role-policy --role-name "$role_name" --policy-name "$policy" \
--query 'PolicyDocument' --output json
done
done
Step 2: Analyze Actual API Usage with CloudTrail
Use CloudTrail and IAM Access Analyzer to determine which API actions the function actually uses.
# Query CloudTrail for actual API calls made by a Lambda execution role
aws cloudtrail lookup-events \
--lookup-attributes AttributeKey=Username,AttributeValue=LAMBDA_ROLE_NAME \
--start-time 2026-01-23T00:00:00Z \
--end-time 2026-02-23T00:00:00Z \
--query 'Events[*].[EventTime,EventName,EventSource]' \
--output table | sort -k2 | uniq -f1
# Use IAM Access Analyzer policy generation (based on CloudTrail activity)
aws accessanalyzer start-policy-generation \
--policy-generation-details '{
"principalArn": "arn:aws:iam::ACCOUNT:role/lambda-execution-role",
"cloudTrailDetails": {
"trailArn": "arn:aws:cloudtrail:us-east-1:ACCOUNT:trail/management-trail",
"startTime": "2026-01-23T00:00:00Z",
"endTime": "2026-02-23T00:00:00Z"
}
}'
# Check the generated policy
aws accessanalyzer get-generated-policy \
--job-id JOB_ID \
--query 'generatedPolicyResult.generatedPolicies[*].policy'
Step 3: Create Least-Privilege Execution Policies
Build scoped IAM policies that grant only the specific actions and resources each function needs.
# Example: Scoped policy for a function that reads from S3 and writes to DynamoDB
cat > lambda-scoped-policy.json << 'EOF'
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "ReadInputBucket",
"Effect": "Allow",
"Action": [
"s3:GetObject",
"s3:ListBucket"
],
"Resource": [
"arn:aws:s3:::input-data-bucket",
"arn:aws:s3:::input-data-bucket/*"
]
},
{
"Sid": "WriteDynamoDB",
"Effect": "Allow",
"Action": [
"dynamodb:PutItem",
"dynamodb:UpdateItem",
"dynamodb:BatchWriteItem"
],
"Resource": "arn:aws:dynamodb:us-east-1:ACCOUNT:table/results-table"
},
{
"Sid": "CloudWatchLogs",
"Effect": "Allow",
"Action": [
"logs:CreateLogGroup",
"logs:CreateLogStream",
"logs:PutLogEvents"
],
"Resource": "arn:aws:logs:us-east-1:ACCOUNT:log-group:/aws/lambda/my-function:*"
}
]
}
EOF
# Create the policy
aws iam create-policy \
--policy-name lambda-my-function-policy \
--policy-document file://lambda-scoped-policy.json
# Create execution role with scoped trust policy
cat > lambda-trust-policy.json << 'EOF'
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Principal": {"Service": "lambda.amazonaws.com"},
"Action": "sts:AssumeRole",
"Condition": {
"StringEquals": {
"aws:SourceAccount": "ACCOUNT_ID"
}
}
}]
}
EOF
aws iam create-role \
--role-name lambda-my-function-role \
--assume-role-policy-document file://lambda-trust-policy.json
aws iam attach-role-policy \
--role-name lambda-my-function-role \
--policy-arn arn:aws:iam::ACCOUNT:policy/lambda-my-function-policy
Step 4: Apply Permission Boundaries
Implement permission boundaries to set maximum permissions for Lambda execution roles.
# Create a permission boundary that caps Lambda role capabilities
cat > lambda-permission-boundary.json << 'EOF'
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "AllowedServices",
"Effect": "Allow",
"Action": [
"s3:GetObject", "s3:PutObject", "s3:ListBucket",
"dynamodb:GetItem", "dynamodb:PutItem", "dynamodb:Query", "dynamodb:UpdateItem",
"sqs:SendMessage", "sqs:ReceiveMessage", "sqs:DeleteMessage",
"sns:Publish",
"secretsmanager:GetSecretValue",
"kms:Decrypt", "kms:GenerateDataKey",
"logs:CreateLogGroup", "logs:CreateLogStream", "logs:PutLogEvents",
"xray:PutTraceSegments", "xray:PutTelemetryRecords"
],
"Resource": "*"
},
{
"Sid": "DenyPrivilegeEscalation",
"Effect": "Deny",
"Action": [
"iam:CreateUser", "iam:CreateRole", "iam:CreatePolicy",
"iam:AttachRolePolicy", "iam:AttachUserPolicy",
"iam:PutRolePolicy", "iam:PutUserPolicy",
"iam:CreateAccessKey", "iam:PassRole",
"lambda:CreateFunction", "lambda:UpdateFunctionConfiguration",
"sts:AssumeRole"
],
"Resource": "*"
}
]
}
EOF
# Create and apply the boundary
aws iam create-policy \
--policy-name lambda-permission-boundary \
--policy-document file://lambda-permission-boundary.json
aws iam put-role-permissions-boundary \
--role-name lambda-my-function-role \
--permissions-boundary arn:aws:iam::ACCOUNT:policy/lambda-permission-boundary
Step 5: Validate Policies with IAM Access Analyzer
Use Access Analyzer to validate policies for security best practices.
# Validate the scoped policy
aws accessanalyzer validate-policy \
--policy-document file://lambda-scoped-policy.json \
--policy-type IDENTITY_POLICY \
--query 'findings[*].[findingType,issueCode,learnMoreLink]' --output table
# Check for unused access
aws accessanalyzer check-no-new-access \
--new-policy-document file://lambda-scoped-policy.json \
--existing-policy-document file://old-broad-policy.json \
--policy-type IDENTITY_POLICY
# Verify the permission boundary effectiveness
aws iam simulate-principal-policy \
--policy-source-arn arn:aws:iam::ACCOUNT:role/lambda-my-function-role \
--action-names iam:CreateUser iam:PassRole s3:GetObject dynamodb:PutItem \
--query 'EvaluationResults[*].[EvalActionName,EvalDecision]' --output table
Step 6: Enforce Role Standards with SCPs
Apply Service Control Policies to prevent Lambda functions from using overly broad roles.
# SCP to deny Lambda functions using AdministratorAccess
cat > scp-deny-lambda-admin.json << 'EOF'
{
"Version": "2012-10-17",
"Statement": [{
"Sid": "DenyLambdaAdminRole",
"Effect": "Deny",
"Action": "lambda:CreateFunction",
"Resource": "*",
"Condition": {
"ForAnyValue:StringLike": {
"lambda:FunctionArn": "*"
},
"ArnLike": {
"iam:PassedToService": "lambda.amazonaws.com"
}
}
},
{
"Sid": "RequirePermissionBoundary",
"Effect": "Deny",
"Action": [
"iam:CreateRole",
"iam:AttachRolePolicy",
"iam:PutRolePolicy"
],
"Resource": "arn:aws:iam::*:role/lambda-*",
"Condition": {
"StringNotEquals": {
"iam:PermissionsBoundary": "arn:aws:iam::*:policy/lambda-permission-boundary"
}
}
}]
}
EOF
aws organizations create-policy \
--name "lambda-role-guardrails" \
--type SERVICE_CONTROL_POLICY \
--content file://scp-deny-lambda-admin.json
Key Concepts
| Term | Definition |
|---|---|
| Execution Role | IAM role assumed by Lambda during function execution that defines all AWS API actions the function can perform |
| Least Privilege | Security principle of granting only the minimum permissions required for a function to perform its intended operations |
| Permission Boundary | IAM policy that sets the maximum permissions an execution role can have, even if identity policies grant broader access |
| IAM Access Analyzer | AWS service that generates least-privilege policies based on actual CloudTrail usage and validates policies for security issues |
| Resource-Scoped Policy | IAM policy that specifies exact resource ARNs rather than wildcards, limiting access to only the specific resources needed |
| Confused Deputy Prevention | Adding aws:SourceAccount or aws:SourceArn conditions to trust policies to prevent cross-account role assumption attacks |
Tools & Systems
- IAM Access Analyzer: Generates least-privilege policies from CloudTrail data and validates policy security
- IAM Policy Simulator: Tests effective permissions for a role against specific API actions before deployment
- CloudTrail: Audit log of all API calls used to determine actual function permission usage
- Prowler: Security tool with Lambda-specific checks for role permissions and configuration
- Checkov: Infrastructure-as-code scanner that validates Lambda IAM policies in CloudFormation/Terraform
Common Scenarios
Scenario: Reducing a Lambda Function from AdministratorAccess to Least Privilege
Context: A security audit finds 12 Lambda functions using a shared execution role with AdministratorAccess. The team needs to scope each function to minimum required permissions without breaking production.
Approach:
- Enable CloudTrail data events for Lambda to capture actual API usage per function
- Wait 30 days to collect a representative sample of API calls
- Use IAM Access Analyzer policy generation for each function's role usage
- Create individual scoped policies for each function based on actual API usage
- Apply permission boundaries to cap maximum permissions
- Deploy scoped roles to staging and run integration tests
- Roll out to production with canary deployment and rollback plan
- Validate with IAM Policy Simulator before removing the old broad role
Pitfalls: Some Lambda functions may have infrequent code paths that only trigger monthly (batch jobs, error handlers). A 30-day observation window may miss rare API calls. Review the function code alongside CloudTrail data to identify all potential API calls. Use Access Analyzer's policy validation rather than relying solely on generated policies.
Output Format
Lambda Execution Role Security Report
========================================
Account: 123456789012
Review Date: 2026-02-23
Functions Audited: 34
ROLE PERMISSION SUMMARY:
Functions with AdministratorAccess: 3 (CRITICAL)
Functions with PowerUserAccess: 5 (HIGH)
Functions with wildcard actions: 12 (MEDIUM)
Functions with scoped policies: 14 (OK)
REMEDIATION PROGRESS:
[x] payment-processor: Scoped to DynamoDB + S3 + KMS (3 actions)
[x] order-notification: Scoped to SNS + SES (2 actions)
[ ] data-pipeline: Generating policy from 30-day CloudTrail data
[ ] image-resizer: Awaiting staging validation
PERMISSION BOUNDARY STATUS:
Functions with boundary applied: 14 / 34
Functions without boundary: 20 / 34
POLICY VALIDATION RESULTS:
Policies with security warnings: 4
Policies with errors: 0
Policies with suggestions: 12
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
mapping-mitre-attack-techniques
Maps observed adversary behaviors, security alerts, and detection rules to MITRE ATT&CK techniques and sub-techniques to quantify detection coverage and guide control prioritization. Use when building an ATT&CK-based coverage heatmap, tagging SIEM alerts with technique IDs, aligning security controls to adversary playbooks, or reporting threat exposure to executives. Activates for requests involving ATT&CK Navigator, Sigma rules, MITRE D3FEND, or coverage gap analysis.
hunting-for-spearphishing-indicators
Hunt for spearphishing campaign indicators across email logs, endpoint telemetry, and network data to detect targeted email attacks.
analyzing-malicious-url-with-urlscan
URLScan.io is a free service for scanning and analyzing suspicious URLs. It captures screenshots, DOM content, HTTP transactions, JavaScript behavior, and network connections of web pages in an isolat
implementing-zero-standing-privilege-with-cyberark
Deploy CyberArk Secure Cloud Access to eliminate standing privileges in hybrid and multi-cloud environments using just-in-time access with time, entitlement, and approval controls.
implementing-pam-for-database-access
Deploy privileged access management for database systems including Oracle, SQL Server, PostgreSQL, and MySQL. Covers session proxy configuration, credential vaulting, query auditing, dynamic credentia
detecting-t1003-credential-dumping-with-edr
Detect OS credential dumping techniques targeting LSASS memory, SAM database, NTDS.dit, and cached credentials using EDR telemetry, Sysmon process access monitoring, and Windows security event correlation.
Didn't find tool you were looking for?