5 Security Risks in AI-Generated Code (And How to Catch Them)

AI coding assistants like Claude, ChatGPT, and Copilot have become indispensable for modern developers. You can scaffold an entire feature in minutes, fix bugs in seconds, and ship faster than ever before. But there's a catch: AI models don't have access to your environment, they can't see your .env files, and they're optimized to produce code that looks correct — not code that is secure.

After analyzing thousands of AI-generated codebases, we've identified five security risks that show up again and again. If you're shipping vibe-coded apps, you need to know these.

1. Hardcoded API Keys and Secrets

This is the most common critical vulnerability we see, and it's almost always introduced by AI assistants. When you ask an AI to write an API integration, it often produces working code with a placeholder key — then forgets to remind you to move it to an environment variable.

The result looks something like this:

// AI-generated code
const stripe = new Stripe("sk_live_9xKmN2pQr8vT...");
const openai = new OpenAI({ apiKey: "sk-proj-xK9mN2p..." });

If this code gets committed to a public repo — or even a private one that later gets compromised — attackers have full access to your Stripe account or OpenAI credits within minutes. There are bots that scan GitHub commits in real time for exactly this pattern.

The fix: Always use environment variables. VibeGuard's secret scanner detects hardcoded API keys, tokens, and passwords using pattern matching across 40+ secret formats, flagging them as CRITICAL before you commit.

2. SQL Injection via Template Literals

SQL injection is a decades-old vulnerability, yet AI assistants re-introduce it constantly because template literals are the "natural" way to build strings in JavaScript. When an AI generates database queries, it often reaches for the most readable syntax — which is also the most dangerous.

// What AI generates
const query = `SELECT * FROM users WHERE email = '${userEmail}'`;
const result = await db.query(query);

// What an attacker sends as userEmail:
// ' OR '1'='1'; DROP TABLE users; --

A single unsanitized input can expose your entire database or destroy it entirely. This vulnerability is especially common in AI-generated code because the model has seen millions of examples of template literal string interpolation and defaults to it.

The fix: Always use parameterized queries. VibeGuard's security scanner detects SQL injection patterns in template literals and flags them with concrete fix suggestions, so you know exactly which query to fix and how.

3. Hallucinated API Calls

This one is unique to AI-generated code. Language models are trained on billions of lines of code, but they sometimes generate method calls that don't actually exist. These hallucinations look completely plausible — they follow the naming conventions of real APIs and fit the surrounding code perfectly. But they throw a TypeError at runtime.

Common examples we see in the wild:

// None of these methods exist
const flat = myArray.flatten();           // Should be .flat()
const data = await fetch.get("/api/users"); // Should be fetch("/api/users")
const done = promise.done(callback);       // Should be .then()
response.sendStatus(200, { data });        // Wrong signature

These bugs won't be caught by TypeScript in many cases, and they definitely won't surface in code review unless someone happens to know the API intimately. They only blow up in production.

The fix: VibeGuard's hallucination detector cross-references method calls against a database of real JavaScript/TypeScript APIs and flags calls to non-existent methods, incorrect argument signatures, and deprecated patterns before they reach your users.

4. Missing Error Handling on Async/Await

AI assistants are optimized to write the happy path. When generating async code, they frequently omit error handling — especially in utility functions and API routes where a thrown error will crash the entire process or return a 500 with a stack trace exposed to users.

// AI-generated — no error handling
async function createUser(data) {
  const user = await db.users.create(data);
  const email = await sendWelcomeEmail(user.email);
  return user;
}

// What happens when the DB is down?
// Unhandled promise rejection crashes the server.
// Stack trace includes database connection string.

Unhandled async errors are a security issue, not just a reliability issue. Stack traces can expose file paths, database schemas, and internal architecture to anyone who triggers an error response.

The fix: Wrap async operations in try/catch and never expose raw error messages to clients. VibeGuard's error handling analyzer finds every async function without proper error boundaries and flags them by severity, so you can systematically fix them before they cause incidents.

5. console.log Leaking Sensitive Data in Production

During development, AI assistants sprinkle console.log statements everywhere to make debugging easier. This is genuinely helpful while you're building. The problem is that these logs almost always end up in production, where they can leak sensitive data to anyone with access to your server logs.

// AI added these for "debugging"
console.log("User data:", user);          // Logs PII to stdout
console.log("Payment result:", charge);   // Logs card data
console.log("Auth token:", token);        // Logs session tokens
console.log("DB query result:", results); // Logs raw database rows

Most cloud platforms (Vercel, Railway, Render) aggregate these logs and may store them for days or weeks. If your logging system is misconfigured or if an attacker gains access to your logs, they have access to everything that was ever printed.

The fix: Remove console.log from production code and use a proper logging library with structured log levels. VibeGuard's production code analyzer scans for console.log calls that contain sensitive variable names and flags them, making it easy to audit and clean up before deployment.

The Bottom Line

Vibe coding is here to stay — the productivity gains are too significant to ignore. But shipping AI-generated code without a security review is like deploying without tests: it works until it doesn't, and then it really doesn't.

VibeGuard was built specifically for the vibe-coding era. It catches all five of these patterns automatically, in seconds, before you deploy. Run your first scan free — no account required.