SECURITY TESTING FOR AI WRAPPER APPS

AI wrapper apps are the hottest category for indie hackers – ChatGPT clones, AI writing tools, image generators, and LLM-powered utilities. Built fast with Cursor and Bolt, these apps often ship with exposed API keys, no rate limiting on expensive inference endpoints, and user inputs passed directly to LLM APIs without sanitization.

Scan your ai wrapper apps for vulnerabilities

Why security matters for ai wrapper apps

AI Wrapper Apps handle sensitive data and business-critical operations. A single vulnerability can lead to data breaches, financial loss, and damaged reputation. VibeEval automatically tests for the most common security issues specific to ai wrapper apps.

Top vulnerabilities in ai wrapper apps

LLM API Key Exposure

OpenAI, Anthropic, or Replicate API keys hardcoded in frontend JavaScript or committed to public repos, letting anyone drain your credits.

SSRF via Model Endpoints

User-supplied URLs passed to AI model endpoints without validation, allowing attackers to access internal services or cloud metadata endpoints.

Prompt Injection

User input concatenated directly into system prompts, allowing attackers to override instructions, extract system prompts, or access sensitive data.

Missing Usage Limits

AI inference endpoints without per-user rate limiting or spending caps, letting a single user rack up thousands in API costs.

Insecure Output Rendering

AI model outputs rendered as HTML without sanitization, allowing indirect prompt injection to produce XSS payloads that execute in the browser.

User Data in Request Logs

Sensitive user inputs logged in plain text through LLM API request logging, creating a searchable database of private conversations.

How VibeEval secures ai wrapper apps

Three steps to find and fix security issues in your ai wrapper apps.

VibeEval scans for exposed LLM API keys in frontend code, API responses, and configuration files that could drain your credits

Our scanner tests AI inference endpoints for missing rate limiting and usage caps that let users abuse expensive API calls

Get AI-specific findings covering prompt injection, SSRF, output sanitization, and API key management

Frequently asked questions

How does VibeEval test AI wrapper apps?

VibeEval checks for exposed API keys, SSRF in model endpoints, missing rate limiting on inference, prompt injection vectors, and insecure output rendering.

Can VibeEval detect exposed OpenAI or Anthropic keys?

Yes. VibeEval scans for API keys from all major AI providers in frontend code, API responses, and exposed configuration files.

Does VibeEval test for prompt injection?

VibeEval tests input handling patterns vulnerable to prompt injection, including direct concatenation and missing input sanitization before LLM calls.

What is the biggest risk for AI wrapper apps?

Exposed API keys. Unlike other credential types, LLM API keys provide direct financial value – attackers can immediately use them to run inference at your expense.

Should I scan my AI app before launch?

Yes. AI apps are high-value targets because exposed API keys provide immediate financial value to attackers. Scan before your first user signs up.

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Test your ai wrapper apps before launch

Start testing your ai wrapper apps for security vulnerabilities with VibeEval.