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Fix Business Logic Errors in Hug

Business logic vulnerabilities in Hug-based APIs arise when developers trust client-provided state or bypass server-side verification of critical workflows. In Hug, the ease of parameter mapping often leads to IDOR or parameter tampering if the developer fails to implement a server-side source of truth. As a researcher, you must ensure that state transitions, pricing, and authorization checks are hard-coded to backend logic rather than relying on incoming request variables.

The Vulnerable Pattern

import hug

INSECURE: Trusting the client to define the price and quantity without server-side lookup

@hug.post(‘/purchase’) def purchase_item(item_id: int, price: float, quantity: int): total = price * quantity # Logic to charge the user follows… return {‘status’: ‘success’, ‘charged’: total, ‘item_id’: item_id}

The Secure Implementation

The vulnerable code allows 'Parameter Tampering'. An attacker can intercept the request and modify the 'price' field to 0.01, bypassing the intended business logic. The secure version removes the 'price' parameter from the user input entirely. Instead, it uses the 'item_id' to look up the authoritative price from a secure backend database. This ensures that the business invariant (the price of the item) cannot be manipulated by the end-user.

import hug
from my_database import get_item_by_id

SECURE: Fetching the source of truth from the database based on a validated ID

@hug.post(‘/purchase’) def purchase_item(item_id: int, quantity: int): item = get_item_by_id(item_id) if not item: return {‘error’: ‘Invalid item’}, 400

# Enforce server-side pricing
actual_price = item['price']
total = actual_price * quantity

# Logic to charge the user follows...
return {'status': 'success', 'charged': total}</code></pre>
System Alert • ID: 1154
Target: Hug API
Potential Vulnerability

Your Hug API might be exposed to Business Logic Errors

74% of Hug apps fail this check. Hackers use automated scanners to find this specific flaw. Check your codebase before they do.

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Verified by Ghost Labs Security Team

This content is continuously validated by our automated security engine and reviewed by our research team. Ghost Labs analyzes over 500+ vulnerability patterns across 40+ frameworks to provide up-to-date remediation strategies.