HowToFixMe
Amazon Inspector

Inspector code scanning for repositories CodeGuru integration

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

At a glance
ServiceAmazon Inspector
CloudAmazon Web Services (AWS)
Guide typeProcedure
Skill levelIntermediate to advanced
Time15 - 60 minutes depending on account size

If you hit Inspector code scanning for repositories CodeGuru integration on Amazon Inspector in production, the steps below are the path most teams take in 2026. None of them require opening a support case unless your environment has a paid-tier dependency that AWS owns.

What inspector code scanning for repositories codeguru integration actually involves on Amazon Inspector

Real-world context. Budget honestly for ~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), because the cheap path looks tempting until a part shows up wrong. You will burn ~15 to 45 minutes hands-on and roughly ~1 to 4 hours including IAM review and post-fix validation once verification is done. Before you touch anything, line up an admin IAM role, the AWS CLI v2, and a CloudTrail filter pointed at the affected resource — those three are what saves you when the first attempt does not stick.

This task on Amazon Inspector 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.

Spot the symptom

Run aws sts get-caller-identity first. About one in five 'why does this not work' tickets are actually 'I am in the wrong account' or 'my session expired and the SDK is using stale creds'. The 5-second sanity check costs nothing and saves real time when the answer is that simple.

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.

Solution-focused remediation path

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.

If the issue points at IAM, do not start by adding * to a policy. Use IAM Access Analyzer (Policy Generator) against the failed action to see the minimum scope. Adding * is the fastest way to fail your next AWS Well-Architected security review, and it usually does not even fix the issue because the explicit deny is often coming from a higher level (SCP, RCP, or permission boundary), not a missing allow.

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 Amazon Inspector operations have implicit dependencies that only show up when traffic starts flowing again. Document the rollback path before you start, not during the incident.

Automate this fix so you do not do it twice

Automate the fix with the AWS CLI

The CLI one-liner pattern for Amazon Inspector operations is roughly: aws inspector describe-... --query ... to read state, aws inspector modify-... --no-dry-run to apply the change, and aws inspector 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 inspector describe-... --query 'Resources[?Status==`FAILED`].[Id,Reason]' --output table
aws inspector modify-... --resource-id RESOURCE_ID --no-dry-run
aws inspector describe-... --resource-id RESOURCE_ID --query 'Status'

Wire the fix into EventBridge for self-healing

If the failure mode is recurring, automate the remediation instead of the diagnosis. EventBridge Scheduler or rules that watch CloudWatch Events for the specific error code can invoke a Lambda that runs the same fix you would run by hand. The Lambda must be idempotent (re-running it on already-healthy resources must be a no-op) and must emit a CloudWatch metric so you can track how often the auto-fix fires. A spike in auto-fix invocations is itself a signal worth alerting on.

# EventBridge rule pattern (JSON)
{ "source": ["aws.inspector"], "detail-type": ["AWS API Call via CloudTrail"], "detail": { "errorCode": ["AccessDenied", "ThrottlingException"] }
}

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('inspector', 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"]}')

Pitfalls

The pitfall most teams hit on Amazon Inspector 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.

Full fix path

Safety, rollback, blast radius

FAQ

How long does inspector code scanning for repositories codeguru integration typically take on AWS?
For most Amazon Inspector 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 Amazon Inspector changes. Export the existing config to JSON via aws inspector 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. Amazon Inspector 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 Amazon Inspector issues already have an answer with an AWS-staff-verified flag.

References

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