HowToFixMe
Lambda@Edge and CloudFront Functions

How to add security headers HSTS CSP with CloudFront Functions

By Sai Kiran Pandrala · Last verified: 2026-05-31 · Source: community Q&A, AWS re:Post, AWS docs

At a glance
ServiceLambda@Edge and CloudFront Functions
CloudAmazon Web Services (AWS)
Guide typeProcedure
Skill levelIntermediate to advanced
Time15 - 60 minutes depending on account size

How to add security headers HSTS CSP with CloudFront Functions on Lambda@Edge and CloudFront Functions sits in the most-reported issues list across r/aws, AWS re:Post, and StackOverflow. The recovery path is mostly known, the AWS docs just bury it under three layers of conceptual material.

What how to add security headers hsts csp with cloudfront functions actually involves on Lambda@Edge and CloudFront Functions

Real-world context. Cost envelope: ~Rs 0 INR for the fix itself, support plan adds Rs 2,500 to Rs 1,00,000 INR per month (around $30 to $1,200 USD/month). Time at the keyboard: ~15 to 45 minutes. Time end-to-end including verification: ~1 to 4 hours including IAM review and post-fix validation. Have an admin IAM role, the AWS CLI v2, and a CloudTrail filter pointed at the affected resource staged before the first command so you do not stall on missing inputs.

This task on Lambda@Edge + CloudFront Functions is one of the more searched operational topics on AWS in the last 12 months. The procedure below is the path that works in a current AWS account with default IAM and standard VPC config.

The rest of this page is the structured fix path. Start with diagnose, then remediation, then the automation options so you do not have to do this by hand the next time it surfaces. Verify and safety sections at the end are the discipline that keeps the fix from regressing in production.

What you'll see

Reproduce the failure with the AWS CLI in --debug mode. The full SigV4 request payload it emits, plus the exact endpoint URL it resolved to, is what AWS Support uses to verify policy, region, or parameter issues without you having to share IAM credentials. Save the debug output to a file with aws ... --debug 2> debug.log and you can search it for the failed aws.request entry.

Look at the CloudTrail event for the failed call, even if you are not enrolled in CloudTrail Lake. The basic 90-day event history works for most diagnostic purposes and lives in the console under CloudTrail > Event history. Filter by event name (the API action) and time range; the event JSON shows the exact user identity, source IP, request parameters, and error code.

Diff against last known good. The last config change you made is the cause about three quarters of the time, even when the change should not have mattered. Use AWS Config history (or your Terraform / CloudFormation drift report) to see the actual delta between the resource state when it worked and when it broke. The change you remember is often not the only change that happened.

Solution-focused remediation path

Most Lambda@Edge and CloudFront Functions failures fall into one of three buckets: IAM permission gap, networking path break (security group, NACL, or VPC endpoint policy), or service-limit / quota hit. Run that mental triage first - it covers around 80 percent of real-world cases. If the failure does not fit any of the three, it is likely a service-side regression worth opening a re:Post or support ticket for.

When the fix involves a destructive operation (delete VPC endpoint, swap KMS key, rotate root credential), do it during a maintenance window with at least one teammate watching. Several Lambda@Edge and CloudFront Functions operations have implicit dependencies that only show up when traffic starts flowing again. Document the rollback path before you start, not during the incident.

If quotas are suspect, the Service Quotas console shows current usage and the active limit side by side. Request increases through Service Quotas, not through Support tickets - quota dashboard requests usually approve faster (often within minutes for soft limits) and they are auditable in CloudTrail. Set up Service Quotas + CloudWatch alarms at 80 percent usage so you get notified before you hit the wall.

Automate this fix so you do not do it twice

Add a CloudWatch alarm so you know next time

The cheapest way to never see the same incident twice is a CloudWatch alarm on the metric that would have warned you. For Lambda@Edge and CloudFront Functions, the relevant metrics live under AWS/lambdaedge namespace or under custom metrics published by your Lambda or ECS task. Set thresholds based on observed normal range plus one or two standard deviations, not on round-number guesses. CloudWatch anomaly-detection alarms remove the threshold-guessing problem entirely for metrics with regular seasonality.

Automate the fix with Python and boto3

For anything you do more than twice, write a small Python script. The boto3 pattern below uses paginators (so it does not blow up on accounts with thousands of resources), explicit region binding, and a dry-run flag that defaults to True. Keep the script under 100 lines; if it grows beyond that, you are building a tool and should put it behind a Lambda with proper logging.

import boto3, sys
DRY_RUN = '--apply' not in sys.argv
client = boto3.client('lambdaedge', region_name='us-east-1')
paginator = client.get_paginator('describe_...')
for page in paginator.paginate(): for item in page.get('Items', []): if item.get('Status') == 'FAILED': if DRY_RUN: print(f'[dry-run] would fix {item["Id"]}') else: client.modify_...(ResourceId=item['Id']) print(f'fixed {item["Id"]}')

Automate the fix with the AWS CLI

The CLI one-liner pattern for Lambda@Edge and CloudFront Functions operations is roughly: aws lambdaedge describe-... --query ... to read state, aws lambdaedge modify-... --no-dry-run to apply the change, and aws lambdaedge describe-... --query ... again to verify. Wrap it in a shell script that sets a region variable at the top and exits on first error with set -euo pipefail so a partial run does not leave the account in a half-fixed state.

# Template - replace placeholders with your account specifics
export AWS_REGION=us-east-1
export AWS_PROFILE=prod
aws lambdaedge describe-... --query 'Resources[?Status==`FAILED`].[Id,Reason]' --output table
aws lambdaedge modify-... --resource-id RESOURCE_ID --no-dry-run
aws lambdaedge describe-... --resource-id RESOURCE_ID --query 'Status'

Common traps

The pitfall most teams hit on Lambda@Edge and CloudFront Functions is moving too fast and skipping the read-only validation step. Before any write, list the current state and save it. AWS APIs are eventually consistent for many resource types, so the validation snapshot is your only reliable reference if you need to undo. Save the output of the describe call to S3, not to your laptop.

Second pitfall: confusing IAM permission errors with networking errors. AccessDenied can be IAM (policy missing), networking (VPC endpoint policy blocking the call), or KMS (key policy missing). The error string looks identical for all three. Distinguish by looking at the CloudTrail event's errorCode and the encoded authorization message; do not assume IAM is the culprit just because the message says AccessDenied.

The repair

Safety, rollback, blast radius

FAQ

How long does how to add security headers hsts csp with cloudfront functions typically take on AWS?
For most Lambda@Edge and CloudFront Functions environments, 15 to 60 minutes including verification. Large multi-account setups, anything touching SCPs at the Organizations level, or cross-region replication can stretch to half a day because AWS has to wait for replication and IAM session caches.
Is there a rollback path?
Yes for most Lambda@Edge and CloudFront Functions changes. Export the existing config to JSON via aws lambda@edge describe-... first, then commit it before you change anything. A few operations are one-way (KMS key deletion past the pending window, region migration, account closure). Check the AWS doc for the specific API before you commit.
Will this affect dependent AWS services?
Often yes. Lambda@Edge and CloudFront Functions resources are usually referenced by other workloads (Lambda, ECS tasks, IAM-bound apps, CloudFront origins, downstream pipelines). Use IAM Access Analyzer + CloudTrail to enumerate consumers before changing a shared resource.
What if my AWS Console layout does not match these steps?
AWS Console UI moves quarterly. The Console layout in this page is current as of 2026-05-31 but the underlying CLI / SDK calls do not change as fast. If the Console version differs, fall back to aws CLI or SDK calls - those almost always still work.
Where do I get AWS Support help if I am still stuck?
Open a case via the AWS Support Center with: the request ID + correlation ID, the exact error string, CloudTrail event, and your reproduction steps. AWS re:Post is the no-cost public alternative - search there first; 80% of common Lambda@Edge and CloudFront Functions issues already have an answer with an AWS-staff-verified flag.

References

Related guides worth a look while you sort this one out: