Claude Code Security

Claude Code Security Scanner

Using Claude Code for development? Ensure your AI-assisted code follows security best practices.

Our automated security scanner analyzes your Claude Code application for vulnerabilities, misconfigurations, and exposed secrets. Get a comprehensive security report in minutes, not days.

Claude Code Security Considerations

Claude Code makes development fast, but AI-generated code often skips security best practices:

  • !AI-generated code needs security review
  • !Context window may contain sensitive data
  • !Generated code may not follow all security practices
  • !Integration code needs careful validation

Where Security Breaks in Claude Code Apps

Built on Supabase (Postgres + RLS), Claude Code applications share a recognizable fingerprint — which means attackers and automated scanners find them the same way every time. Based on real vulnerability patterns in Claude Code deployments, the breakdown is 0 critical-impact issues, 2 high-impact, and 3 medium-or-lower.

HIGH

Unintentional Vulnerabilities

Even safety-focused AI can generate code with security flaws.

Fix: Review all generated code. Run security scans before deployment.

HIGH

Sensitive Data in Prompts

Pasting code with secrets into prompts exposes them to processing.

Fix: Never paste real credentials. Use placeholders in prompts.

LOW

Overly Cautious Refusals

May refuse legitimate security testing code.

Fix: Rephrase requests. Explain legitimate security testing context.

MEDIUM

Outdated Security Practices

Knowledge cutoff means newer vulnerabilities may not be known.

Fix: Verify security advice against current best practices.

MEDIUM

Context Window Exposure

Long conversations may accumulate sensitive information.

Fix: Start fresh sessions for new projects. Don't accumulate secrets.

What We Check

Secret Detection

Find exposed credentials in generated code.

Code Security

Analyze code for security vulnerabilities.

Database Access

Check database queries and access patterns.

Auth Patterns

Review authentication implementations.

What You'll Get

Security audit report
Secrets detection
Code analysis
Database security check
Auth review
Fix guidance
Markdown export
Re-scan option

Why Claude Code Apps Need Security Scanning

Claude Code by Anthropic helps developers write code with AI assistance. While Claude is designed with safety in mind, the code it generates still needs human review for security issues.

Like any AI tool, Claude Code works best when you review its suggestions and ensure they follow your security requirements. VAS helps verify your deployed application is secure.

How Claude Code Security Scanning Works

1

Submit Your URL

Enter your Claude Code application URL. Our scanner automatically detects your tech stack and configures the appropriate security checks for Claude Code.

2

Automated Analysis

We scan for exposed secrets, security headers, authentication issues, database misconfigurations, and Claude Code-specific vulnerabilities. The scan typically completes in 15-20 minutes.

3

Get Actionable Results

Receive a detailed report with prioritized vulnerabilities, severity ratings, and step-by-step remediation guidance with code examples specific to Claude Code.

Common Questions About Claude Code Security

What vulnerabilities are most common in Claude Code apps?

The top finding classes in Claude Code apps: unintentional vulnerabilities; sensitive data in prompts; overly cautious refusals.

What does a VAS scan of a Claude Code app check?

The scan probes your deployed app for the specific findings above: secret detection, code security, database access, auth patterns. It actually attempts each vulnerability class (not just header inspection) and reports results with severity + fix for each.

Is running a scan safe for production?

Yes. The scanner uses read-only probes against public endpoints — no data modification, no destructive tests. Scans typically finish in 15–20 minutes and will not impact application availability.

Remediation Playbook for Claude Code

Priority-ordered fixes for the specific findings we see in Claude Code apps. Critical items close data-exposure gaps; high items prevent compromise; medium items reduce attack surface. Applies to apps using Supabase (Postgres + RLS) — the dominant Claude Code stack.

1. Unintentional Vulnerabilities

Why it matters: Even safety-focused AI can generate code with security flaws.

How to close it: Review all generated code. Run security scans before deployment.

2. Sensitive Data in Prompts

Why it matters: Pasting code with secrets into prompts exposes them to processing.

How to close it: Never paste real credentials. Use placeholders in prompts.

3. Overly Cautious Refusals

Why it matters: May refuse legitimate security testing code.

How to close it: Rephrase requests. Explain legitimate security testing context.

4. Outdated Security Practices

Why it matters: Knowledge cutoff means newer vulnerabilities may not be known.

How to close it: Verify security advice against current best practices.

5. Context Window Exposure

Why it matters: Long conversations may accumulate sensitive information.

How to close it: Start fresh sessions for new projects. Don't accumulate secrets.

Verify the fixes stuck

Run a VAS scan after applying each fix to confirm the gap is actually closed. "I applied the fix" is not evidence — the fix may have been partial, reverted, or not deployed. Re-scanning gives you proof, and a record for compliance if you ever need it.

Secure Your Claude Code App

Don't let vulnerabilities compromise your hard work. Security issues in Claude Code applications can lead to data breaches, unauthorized access, and damaged user trust. The average data breach costs startups between $120,000 and $1.24 million.

Run a Starter Scan in minutes — just $9. Scan before you launch and deploy with confidence knowing your application meets security best practices.

Get Starter Scan