BugForge - Daily - Cheesy Does it

3 min read

Daily - Cheesy Does it

Vulnerabilities Covered

Business Logic Flaw

Summary

After creating an account and placing a normal pizza order, the checkout request was intercepted to analyze how pricing data is handled by the backend. The POST /order request was found to trust client-supplied unit and total prices, allowing these values to be modified to zero before submission. The server accepted the manipulated request and processed the order at $0, confirming a business logic flaw caused by missing server-side price validation.

Reference

1

Account Creation

Create a new user account and log in to the application.

2

Place a Pizza Order

Browse the menu and place a pizza order using the standard checkout process.

3

Intercept the Order Request

Intercept the checkout request and observe the POST /order request sent to the backend.

Notice that the request includes client-controlled pricing fields, such as:

  • Unit price
  • Total price

Request to place order

4

Modify Pricing Parameters

Modify the intercepted request by changing the pricing values:

  • Set the unit price of the pizza to 0
  • Set the total order price to 0

Request to place order

5

Submit the Modified Request

Forward the modified POST /order request to the server.

6

Verify the Outcome

Confirm that the order is successfully processed and accepted with a total cost of $0, demonstrating that the backend trusts client-supplied pricing data.

Flag

Impact
  • Ability to purchase items for free by manipulating client-side pricing
  • Direct financial loss and revenue manipulation
  • Undermines trust in the checkout and billing process
Vulnerability Classification
  • OWASP Top 10: Insecure Design
  • Vulnerability Type: Business Logic Flaw (Client-Side Price Manipulation)
  • CWE: CWE-602 - Client-Side Enforcement of Server-Side Security
Root Cause

The backend trusts client-supplied pricing values (unit price and total) instead of calculating and validating prices server-side using authoritative product data.

Remediation
  • Recalculate all pricing server-side based on trusted product and pricing sources
  • Ignore or strictly validate any client-supplied price fields
  • Implement order integrity checks before payment processing
  • Add monitoring and alerting for abnormal pricing or zero-value orders
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