Amazon Q Developer Security Scanner
Building with Amazon Q Developer? Make sure AI-generated code doesn't expose AWS credentials or create insecure IAM configurations.
Enter your deployed app's URL. Review the findings, take the suggested fixes to your coding tool, and retest after making changes.
First scan free: issue counts and one finding revealed in detail. No card required.
VS Code Extension Vulnerability Discovered
A security vulnerability was found in the Amazon Q Developer VS Code extension. Applications built during the affected period should be reviewed.
Top 4 Security Issues in Amazon Q Developer Apps
Hardcoded AWS Credentials
Amazon Q may generate code containing AWS access keys instead of using IAM roles or environment variables.
Overly Permissive IAM Policies
AI-generated IAM policies may use wildcard (*) permissions, granting far more access than needed.
Public S3 Buckets
Generated infrastructure code may create S3 buckets with public access enabled.
Unauthenticated Lambda Endpoints
API Gateway and Lambda configurations may not include proper authentication.
Where Security Breaks in Amazon Q Developer Apps
Built on Postgres, Amazon Q Developer applications share a recognizable fingerprint, which means attackers and automated scanners find them the same way every time. Based on real vulnerability patterns in Amazon Q Developer deployments, the breakdown is 0 critical-impact issues, 2 high-impact, and 2 medium-or-lower.
Hardcoded AWS Credentials
Amazon Q may generate code containing AWS access keys instead of using IAM roles or environment variables.
Fix: Move all secrets server-side (environment variables, serverless functions). Rotate any keys previously in frontend code. Audit bundles for leftover credentials before each deploy.
Overly Permissive IAM Policies
AI-generated IAM policies may use wildcard (*) permissions, granting far more access than needed.
Fix: Scan your deployed application with a security tool that understands this stack. Address the specific findings — generic best practices don't catch platform-specific misconfigurations.
Public S3 Buckets
Generated infrastructure code may create S3 buckets with public access enabled.
Fix: Scan your deployed application with a security tool that understands this stack. Address the specific findings — generic best practices don't catch platform-specific misconfigurations.
Unauthenticated Lambda Endpoints
API Gateway and Lambda configurations may not include proper authentication.
Fix: Enforce email verification, minimum password requirements, and rate limiting on auth endpoints. Test auth flows as unauthenticated and cross-user to verify access controls.
What We Check
AWS Credential Scan
Scans for hardcoded AWS access keys and session tokens in application code.
IAM Policy Review
Analyzes generated IAM policies for overly permissive configurations.
Infrastructure Security
Checks S3 bucket policies, Lambda auth settings, and resource configurations.
Security Headers
Verifies HTTP security headers and API Gateway configuration.
What You'll Get
Why Amazon Q Developer Apps Need Security Scanning
Amazon Q Developer generates code with deep awareness of AWS services. This means the AI generates infrastructure code and IAM policies where security mistakes have outsized impact.
A hardcoded AWS credential or overly permissive IAM policy can give attackers access to your entire cloud infrastructure. vas scans for exposed credentials and misconfigured resources.
How Amazon Q Developer Security Scanning Works
Submit Your URL
Enter your Amazon Q application URL. Our scanner automatically detects your tech stack and configures the appropriate security checks for Amazon Q Developer.
Automated Analysis
We check the reachable app for exposed secrets, browser protections, authentication issues and database access problems. A standard scan typically takes a few minutes; blocked requests or incomplete coverage are reported.
Get Actionable Results
Receive a detailed report with prioritized vulnerabilities, severity ratings, and step-by-step remediation guidance with code examples specific to Amazon Q Developer.
Common Questions About Amazon Q Developer Security
What does a VAS scan of a Amazon Q Developer app check?
VAS checks the deployed pages, scripts and endpoints it can reach for issues including aws credential scan, iam policy review, infrastructure security, security headers. The report records findings and coverage limits; it does not certify the whole app as secure.
What will I receive in the report?
Findings include severity, supporting evidence and remediation guidance. Your first scan is free, with issue counts and one finding revealed in detail. Paid report access unlocks every finding. Use Export for AI to bring available findings into your coding tool, review the proposed changes and retest.
Can a scan verify every permission and private workflow?
No. Coverage depends on reachable pages, discovered endpoints and enabled checks. Configure a test login for supported authenticated checks. Review source code and business-specific permissions separately. Zero findings does not prove an app is secure.
Does VAS change my code or database policies?
VAS provides recommendations, not automatic fixes. Adapt any suggested policy or code change to your data model, test that permitted users still have access and that other users do not, then rescan. Read checks alone cannot confirm insert, update or delete permissions.
What should I know before scanning a production app?
Only scan apps you own or have permission to test. Scan requests can trigger firewall rules, logs and rate limits. Review enabled checks, and use staging or dedicated test accounts for sensitive workflows. Active tests, where enabled, need separate care because they can make changes.
Remediation Playbook for Amazon Q Developer
Priority-ordered fixes for the specific findings we see in Amazon Q Developer apps. Critical items close data-exposure gaps; high items prevent compromise; medium items reduce attack surface. Applies to apps using Postgres, the dominant Amazon Q Developer stack.
1. Hardcoded AWS Credentials
Why it matters: Amazon Q may generate code containing AWS access keys instead of using IAM roles or environment variables.
How to close it: Move all secrets server-side (environment variables, serverless functions). Rotate any keys previously in frontend code. Audit bundles for leftover credentials before each deploy.
2. Overly Permissive IAM Policies
Why it matters: AI-generated IAM policies may use wildcard (*) permissions, granting far more access than needed.
How to close it: Scan your deployed application with a security tool that understands this stack. Address the specific findings — generic best practices don't catch platform-specific misconfigurations.
3. Public S3 Buckets
Why it matters: Generated infrastructure code may create S3 buckets with public access enabled.
How to close it: Scan your deployed application with a security tool that understands this stack. Address the specific findings — generic best practices don't catch platform-specific misconfigurations.
4. Unauthenticated Lambda Endpoints
Why it matters: API Gateway and Lambda configurations may not include proper authentication.
How to close it: Enforce email verification, minimum password requirements, and rate limiting on auth endpoints. Test auth flows as unauthenticated and cross-user to verify access controls.
Verify the fixes stuck
Rescan after deploying a fix to check whether the original finding still appears. Compare the evidence and coverage with the previous report. For permissions and private workflows, also repeat the relevant tests with authorized and unauthorized test users.
Check your Amazon Q Developer app
Find observable security issues in your deployed app, review the evidence and take the next steps with your coding tool.
Start with a free scan. See issue counts and one finding in detail, then decide whether you need full report access.
More on Amazon Q Developer Security
Every angle of Amazon Q security, from the specific findings we detect to step-by-step fixes.
Amazon Q Developer Security Risks
Specific risks we find in Amazon Q apps, with real-world examples.
Amazon Q Developer Security Issues
Issues grouped by severity with detection and fix steps.
Amazon Q Developer Best Practices
Remediation playbook derived from Amazon Q's actual failure modes.
Amazon Q Developer Security Checklist
Pre-launch checklist covering every finding class for Amazon Q.
How to Secure Amazon Q Developer Apps
Step-by-step hardening guide for Amazon Q deployments.