Skill v1.0.1
currentAutomated scan100/100+3 new
name: securing-aws-lambda-execution-roles description: '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.
' domain: cybersecurity subdomain: cloud-security tags:
- cloud-security
- aws
- lambda
- iam
- least-privilege
- execution-roles
version: '1.0' author: mahipal license: Apache-2.0 nist_csf:
- PR.IR-01
- ID.AM-08
- GV.SC-06
- DE.CM-01
mitre_attack:
- T1078.004
- T1530
- T1537
- T1580
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 rolesaws lambda list-functions \--query 'Functions[*].[FunctionName,Role]' --output table# For each function, analyze attached policiesfor func in $(aws lambda list-functions --query 'Functions[*].FunctionName' --output text); dorole_arn=$(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 policiesfor policy in $(aws iam list-role-policies --role-name "$role_name" --query 'PolicyNames' --output text); doecho " Inline: $policy"aws iam get-role-policy --role-name "$role_name" --policy-name "$policy" \--query 'PolicyDocument' --output jsondonedone
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 roleaws 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 policyaws 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 DynamoDBcat > 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 policyaws iam create-policy \--policy-name lambda-my-function-policy \--policy-document file://lambda-scoped-policy.json# Create execution role with scoped trust policycat > 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"}}}]}EOFaws iam create-role \--role-name lambda-my-function-role \--assume-role-policy-document file://lambda-trust-policy.jsonaws 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 capabilitiescat > 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 boundaryaws iam create-policy \--policy-name lambda-permission-boundary \--policy-document file://lambda-permission-boundary.jsonaws 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 policyaws accessanalyzer validate-policy \--policy-document file://lambda-scoped-policy.json \--policy-type IDENTITY_POLICY \--query 'findings[*].[findingType,issueCode,learnMoreLink]' --output table# Check for unused accessaws 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 effectivenessaws 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 AdministratorAccesscat > 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"}}}]}EOFaws 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: 123456789012Review Date: 2026-02-23Functions Audited: 34ROLE 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 validationPERMISSION BOUNDARY STATUS:Functions with boundary applied: 14 / 34Functions without boundary: 20 / 34POLICY VALIDATION RESULTS:Policies with security warnings: 4Policies with errors: 0Policies with suggestions: 12