This page follows the OWASP Top 10 and MITRE CWE Top 25. Both are standard lists of common web security risks. Severity scores use CVSS v3, from NIST's vulnerability database.
Platform-aware security audit for apps built with Claude Code. What it covers, what it typically finds, and how to run one in 30 seconds.
A Claude Code security audit covers four dimensions. We check the same four on every app, no matter how it was built. For Claude Code apps, Security and Monitoring are where most of the real findings show up.
Every AI coding tool has its own habits — how it writes middleware, handles imports, and sets up error handling. Our scanner learns Claude Code's specific patterns. That means faster, more accurate scans.
None of these are flaws in Claude Code. They are steps every app needs after the code is written — rate limits, monitoring, and dependency checks. Read our full Claude Code security audit guide for the full walkthrough.
Based on scans run through launchreadycode.com across AI-built apps as of June 2026:
From scans run on launchreadycode.com, as of June 2026:
Paste your live URL at launchreadycode.com. No code access. No signup. You get a Launch Readiness Score out of 100, plus your top findings. Takes about 30 seconds.
The Launch Readiness Audit Report lists every finding with a severity score, file references, and exact fixes. A security engineer checks it before you get it, within 48 hours.
Three things to check before your Claude Code app goes live:
# 1. Check for CVEs in your dependencies npm audit --audit-level=high # or pip-audit # for Python projects # 2. Check rate limiting on your auth routes # Send 20 rapid requests to /api/login or /api/signup # A 429 response means rate limiting is working # Repeated 200/401 responses mean it is not # 3. Verify error tracking is wired up # Trigger a deliberate error in production # If you don't receive an alert — monitoring is not configured
npm audit and fix every high or critical bug before launch. Turn on automated dependency scanning (Dependabot or Snyk).This list covers the six most common serious findings we see. A free LRC scan checks all six, plus 40+ more, across reliability, performance, and monitoring.
URL-based scan. No code access. No signup. Free Launch Readiness Score in 30 seconds — security, reliability, performance, monitoring.
Scan my Claude Code app — freeNo. Claude Code is a capable, well-regarded tool. The gaps show up for a simple reason. Rate limits, dependency updates, and monitoring depend on how and where you deploy the app. No code generator can guess those details. These are standard steps every app needs, no matter how it was built.
All six issues together take under two hours to fix. Dependency updates take 20–30 min. Rate limiting takes 20 min. Error tracking takes 10 min. HTTP headers take 10 min. CSRF middleware takes 10 min. An environment variable check takes 20 min. The scan tells you exactly what to fix. Our Code Care DFY Technical Setup ($1,999 setup fee + $2,999/mo) does all of it for you.
No. The LRC scanner is URL-based — it tests what is publicly exposed from your live app, which is where real attackers start. No GitHub access, no source code, no deployment credentials required.
The four dimensions we check are the same. What differs is the platform-specific checks — each AI tool has its own habits for routes, dependencies, and error handling. See also: Lovable security audit · Windsurf security audit.
Sources: OWASP Top 10 2021; CWE Top 25 2024; CVSS v3 specification; NVD CVE database. This page provides general security guidance, not a certification or guarantee. Claude Code is a product of Anthropic.
Claude Code writes code across many files at once. Traditional scanners read that code. LRC looks at the live, deployed app instead — the same way an attacker would.
| Tool type | What it checks | What it misses | Best for |
|---|---|---|---|
| SAST (Semgrep, SonarQube) | Code patterns, injection risks, insecure functions | Runtime behavior, deploy config, live endpoint exposure | Teams with repo access and CI/CD pipelines |
| Dependency (Snyk, npm audit) | Known CVEs in lockfile packages | Your own code, config gaps, live security headers | Any project with a lockfile |
| DAST (Burp Suite, OWASP ZAP) | Live app behavior, authentication flaws, XSS/SQLi | AI-platform-specific gaps, reliability, monitoring state | Security engineers running formal pentests |
| Launch Ready Code | Live URL: security + reliability + performance + monitoring. Platform-aware (detects Claude Code, Cursor, Copilot and 8 more AI tools). | Internal code patterns that require repo access | Founders shipping Claude Code projects who need results in under 2 minutes |
For Claude Code projects: code scanners check what's in the code. LRC checks what the live app exposes. Both help — but LRC runs in 90 seconds with no setup, so it's a good first pass before launch. See how LRC compares as a security auditing tool for the full breakdown.
Compliance Wing
Security fixed. Now check your compliance.
EU AI Act enforcement is now live — fines up to €15M or 3% of global turnover for undisclosed AI systems. GDPR, SOC 2 foundations, and ISO 27001 foundations are separate obligations your security scan does not cover. One additional scan, 60 checks, 3 minutes. $799 — credited toward full implementation if you need it.
Run Compliance Score — $799 → 7-day money-back · No code access requiredAnswers to what founders and engineers ask us most.
What should I review before deploying a Claude Code app?
Review for missing rate limiting on API endpoints, confirm error tracking is configured (not just console logging), and run a dependency audit for known CVEs — the three patterns we find most often in Claude Code-built apps. All are standard infrastructure and dependency-management steps outside what any code generator configures automatically.
Is Claude Code safe for production use?
Claude Code produces high-quality, functional code. The patterns we find most often in Claude Code-built apps: missing rate limiting on API endpoints, no error tracking configured, and dependencies that haven't been audited for known CVEs. These are standard infrastructure steps that fall outside the scope of any code generator, and all are fixable once identified.
How do I secure an app I built with Claude Code?
Add rate limiting to your API endpoints, especially auth and payment routes, configure real error tracking instead of relying on console logs you won't see in production, and run a dependency audit to catch known CVEs in your package tree. A free URL-based scan checks all three on your live app without needing source access.
What security issues do apps built with Claude Code have?
Missing rate limiting on API endpoints is the most common finding, followed by absent error tracking (issues go unnoticed until a user reports them) and unaudited dependencies carrying known CVEs. These are infrastructure and dependency-management gaps, not flaws in the code Claude Code generates.
Claude Code app security checklist
Checklist: (1) rate limiting on all API endpoints, especially auth/payment/AI routes, (2) error tracking configured and verified to actually fire in production, (3) dependencies scanned for known CVEs, (4) HTTP security headers set, (5) uptime monitoring with alerts configured before launch, not after an outage.
What does Claude Code not do for security?
Claude Code does not add rate limiting to API endpoints, does not configure error tracking, and does not audit your dependency tree for known CVEs. These are standard infrastructure and dependency-management steps that sit outside what any AI coding tool configures automatically — they need to be added explicitly.
Security audit for Claude Code apps
A Claude Code security audit covers four dimensions: (1) security — API key exposure, rate limiting, dependency CVEs, HTTP headers, (2) reliability — error handling and graceful degradation, (3) performance, and (4) monitoring — whether error tracking and uptime alerts actually exist. Free URL-based scan, no code access needed.