AI Coding Security Risk: Stripe API Leak Case

Real Story: When AI Writes the Code… and a Security Bug Costs Thousands 💻💸​

Recently, a term has become very popular among developers: Vibe Coding 🤖
The idea behind it is simple.
Instead of writing every line of code manually, developers rely heavily on AI tools to generate code.
At first, it sounds amazing.
You simply describe a problem, and the AI generates a working solution within seconds.

But as you’ll see in this real story 👇
Relying completely on AI-generated code can lead to serious security issues.

What Happened to the Founder of Glossa? 🚨​

A developer named Anton Karbanovich runs a company called Glossa.
He decided to build the company website using the Vibe Coding approach, meaning he relied heavily on AI tools to generate much of the site’s code.
The problem started when the website was connected to the payment platform Stripe to receive customer payments 💳
Unfortunately, a critical security mistake occurred in the way the Stripe API keys were handled.

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The Problem Started with Stripe API Keys 🔑​

Payment platforms like Stripe use something called API Keys so a website can communicate with the payment system.
These keys are essentially like the key to a bank vault.
If someone gains access to them, they could perform financial transactions through the account.
In this case, an attacker managed to access the API keys and used them to trigger repeated payment transactions.

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The Attack Happened Quickly ⚠️​

The attacker began creating payment transactions worth $500 each.
Within a short time:

• 175 payment transactions were executed
• Each transaction was $500
• The money was withdrawn before the website owner noticed

But the biggest issue was something else.
Even fraudulent payments still generate transaction fees.
As a result, the website owner lost around $2,500 in Stripe transaction fees alone 💸

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Why Did This Security Problem Happen? 🤔​

The developer later explained that the issue wasn’t directly caused by AI.
Instead, the real reasons were:

• Over-reliance on AI-generated code
• Lack of proper security review
• Poor handling of API keys

In simple terms:
AI can write code… but security must always be reviewed by the developer.

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Example of a Dangerous Coding Mistake ⚡​

Sometimes developers accidentally place API keys directly inside the source code.
For example:

const stripe = require("stripe")("sk_test_123456789");

If this code gets published in places like:

• GitHub repositories
• Frontend JavaScript code
• Public project files

Anyone could easily copy the key and use it.

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The Correct Way to Store API Keys 🔐​

A safer approach is storing sensitive keys in environment variables.
Example:

const stripe = require("stripe")(process.env.STRIPE_SECRET_KEY);

And inside the .env file:

STRIPE_SECRET_KEY=sk_live_xxxxxxxxx

This way, the API key does not appear directly in the public code.

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Important Tips to Secure Payment Systems 🛡️​

If your website uses Stripe or any payment API, you should follow these security practices:

1. Never store API keys directly in code​

Always use environment variables.

2. Enable webhook validation​

This ensures requests actually come from Stripe.

3. Use rate limiting​

Prevents repeated automated payment attempts.

4. Monitor financial transactions regularly​

Especially when launching a new system.

5. Rotate API keys periodically​

Changing keys regularly reduces long-term risks.

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Is Vibe Coding a Bad Idea? 🤖​

The answer is no.
Artificial Intelligence has become an extremely powerful tool in modern software development.
The real problem appears when:

• Developers rely on AI completely
• Code is not reviewed
• Security testing is ignored

In other words:
AI can help you write code faster… but security responsibility still belongs to the developer.

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The Key Lesson for Developers and Pentesters 🧠​

This story highlights a very important truth in cybersecurity and web development:
Not every piece of code that works is secure.
That’s why Code Security Review has become a critical step in every serious project.
Especially for systems that handle:

• Online payments
• Financial accounts
• User data

Ignoring security reviews can turn a small coding mistake into a very expensive problem.