Business Logic Vulnerabilities

Business logic vulnerabilities exploit flaws in the design and implementation of application workflows. These vulnerabilities are often unique to each application and require intelligent testing.

What are Business Logic Flaws?

Unlike technical vulnerabilities (SQL injection, XSS), business logic flaws abuse legitimate functionality in unintended ways. They typically:

Cannot be detected by automated scanners (but AIPTx’s AI can!)
Require understanding of application context
Exploit assumptions in application design
Have high business impact

Common Categories

Price Manipulation

Negative Quantities

Submitting negative item quantities for refunds

Price Override

Modifying prices in client-side requests

Currency Confusion

Exploiting currency conversion logic

Discount Abuse

Stacking or manipulating discounts

Example: Price Manipulation

{
  "title": "Price Manipulation in Cart API",
  "severity": "critical",
  "endpoint": "POST /api/cart/add",
  "description": "Client-submitted price accepted without validation",
  "poc": {
    "original_request": {
      "product_id": "123",
      "quantity": 1,
      "price": 99.99
    },
    "exploit_request": {
      "product_id": "123",
      "quantity": 1,
      "price": 0.01
    },
    "result": "$99.99 item purchased for $0.01"
  }
}

Race Conditions

Types Detected

Type	Description	Example
TOCTOU	Time-of-check to time-of-use	Balance check vs debit
Double Spending	Same resource used twice	Coupon reuse
Concurrent Updates	Parallel modifications	Simultaneous withdrawals

Testing Methodology

AIPTx tests race conditions by:

Identifying vulnerable operations (balance transfers, inventory updates)
Sending concurrent requests with precise timing
Analyzing state inconsistencies
Validating exploitation

Example: Double Spending

{
  "title": "Race Condition in Coupon Redemption",
  "severity": "high",
  "endpoint": "POST /api/cart/apply-coupon",
  "description": "Single-use coupon can be applied multiple times via race condition",
  "poc": {
    "coupon": "SAVE50",
    "expected_uses": 1,
    "concurrent_requests": 10,
    "successful_applications": 8,
    "total_discount": "$400 instead of $50"
  }
}

Workflow Bypass

Authentication Workflow

Step	Bypass Test
1. Login	Skip to step 2
2. MFA	Skip to step 3
3. Dashboard	Access directly

Example: MFA Bypass

{
  "title": "MFA Workflow Bypass",
  "severity": "critical",
  "description": "MFA step can be skipped by accessing endpoints directly",
  "poc": {
    "normal_flow": "Login → MFA → Dashboard",
    "bypass": "Login → Dashboard (skip MFA)",
    "vulnerable_endpoint": "GET /api/user/dashboard",
    "result": "Full account access without MFA"
  }
}

Multi-Step Process Bypass

Testing e-commerce checkout:

normal_flow:
  1: Add to cart
  2: Enter shipping
  3: Enter payment
  4: Review order
  5: Confirm purchase

bypass_tests:
  - skip_step_3: "Skip payment, proceed to confirmation"
  - reorder_steps: "Submit order before payment"
  - modify_between_steps: "Change price after review"

Limit Bypass

Types

Rate limit bypass
Quantity limit bypass
Time-based restriction bypass
Geographic restriction bypass

Example: Rate Limit Bypass

{
  "title": "Rate Limit Bypass via Header Manipulation",
  "severity": "medium",
  "endpoint": "POST /api/password-reset",
  "description": "Rate limiting bypassed by modifying X-Forwarded-For header",
  "poc": {
    "normal_limit": "5 requests per minute",
    "bypass": "X-Forwarded-For: random-ip-each-request",
    "result": "Unlimited password reset attempts"
  }
}

Inventory Manipulation

Testing Scenarios

scenarios:
  - name: "Negative inventory"
    test: "Order quantity exceeding stock"
    expect: "Rejection"

  - name: "Concurrent orders"
    test: "Multiple orders for last item"
    expect: "Only one succeeds"

  - name: "Cart reservation"
    test: "Items held in cart indefinitely"
    expect: "Timeout and release"

Feature Abuse

Common Abuse Patterns

Feature	Abuse	Impact
Referral program	Self-referral	Financial loss
Free trial	Unlimited trials	Revenue loss
Promo codes	Code enumeration	Unauthorized discounts
File upload	Storage abuse	Resource exhaustion

Example: Referral Abuse

{
  "title": "Self-Referral Abuse",
  "severity": "medium",
  "description": "Users can refer themselves using different emails",
  "poc": {
    "referrer": "[email protected]",
    "referee": "[email protected]",
    "bonus_earned": "$10",
    "validation_bypass": "Plus addressing not blocked"
  }
}

Data Validation Flaws

Insufficient Validation

{
  "title": "Insufficient Input Validation",
  "severity": "high",
  "endpoint": "POST /api/transfer",
  "description": "Transfer amount not properly validated",
  "tests": [
    {"amount": -100, "result": "Reverse transfer succeeded"},
    {"amount": "100.999", "result": "Rounding error exploited"},
    {"amount": 999999999, "result": "Integer overflow"}
  ]
}

AI-Powered Detection

AIPTx uses AI to detect business logic flaws by:

Understanding Context - Analyzing application purpose and workflows
Identifying Assumptions - Finding implicit business rules
Generating Test Cases - Creating context-aware tests
Validating Results - Confirming exploitability

AI Detection Examples

Context: E-commerce checkout
AI Analysis: "Discount calculated client-side, not re-validated on server"
Test: Modify discount percentage in request
Result: 100% discount applied successfully

Remediation Guidelines

Server-Side Validation

// Always calculate prices server-side
async function processOrder(cart, userId) {
  // Fetch actual prices from database
  const items = await Promise.all(
    cart.items.map(async (item) => {
      const product = await Product.findById(item.productId);
      return {
        ...item,
        price: product.price, // Server-side price
        total: product.price * item.quantity
      };
    })
  );

  // Calculate totals server-side
  const subtotal = items.reduce((sum, i) => sum + i.total, 0);
  const discount = await calculateDiscount(userId, subtotal);

  return { items, subtotal, discount, total: subtotal - discount };
}

Race Condition Prevention

// Use database transactions with locking
async function redeemCoupon(couponCode, userId) {
  return await db.transaction(async (trx) => {
    // Lock the coupon row
    const coupon = await trx('coupons')
      .where('code', couponCode)
      .forUpdate()
      .first();

    if (!coupon || coupon.used) {
      throw new Error('Invalid or used coupon');
    }

    // Mark as used atomically
    await trx('coupons')
      .where('id', coupon.id)
      .update({ used: true, used_by: userId });

    return coupon.discount;
  });
}

Workflow Enforcement

// Track workflow state
const workflowMiddleware = (requiredStep) => {
  return (req, res, next) => {
    const currentStep = req.session.checkoutStep;

    if (currentStep < requiredStep) {
      return res.status(400).json({
        error: 'Please complete previous steps first'
      });
    }

    next();
  };
};

// Usage
app.post('/api/checkout/payment', workflowMiddleware(2), handlePayment);
app.post('/api/checkout/confirm', workflowMiddleware(3), handleConfirm);

Getting Started

Usage

Vulnerability Coverage

Integrations

Reports & Compliance

Advanced

Business Logic Vulnerabilities

Business Logic Vulnerabilities

What are Business Logic Flaws?

Common Categories

Price Manipulation

Negative Quantities

Price Override

Currency Confusion

Discount Abuse

Example: Price Manipulation

Race Conditions

Types Detected

Testing Methodology

Example: Double Spending

Workflow Bypass

Authentication Workflow

Example: MFA Bypass

Multi-Step Process Bypass

Limit Bypass

Types

Example: Rate Limit Bypass

Inventory Manipulation

Testing Scenarios

Feature Abuse

Common Abuse Patterns

Example: Referral Abuse

Data Validation Flaws

Insufficient Validation

AI-Powered Detection

AI Detection Examples

Remediation Guidelines

​Business Logic Vulnerabilities

​What are Business Logic Flaws?

​Common Categories

​Price Manipulation

Negative Quantities

Price Override

Currency Confusion

Discount Abuse

​Example: Price Manipulation

​Race Conditions

​Types Detected

​Testing Methodology

​Example: Double Spending

​Workflow Bypass

​Authentication Workflow

​Example: MFA Bypass

​Multi-Step Process Bypass

​Limit Bypass

​Types

​Example: Rate Limit Bypass

​Inventory Manipulation

​Testing Scenarios

​Feature Abuse

​Common Abuse Patterns

​Example: Referral Abuse

​Data Validation Flaws

​Insufficient Validation

​AI-Powered Detection

​AI Detection Examples

​Remediation Guidelines

Business Logic Vulnerabilities

What are Business Logic Flaws?

Common Categories

Price Manipulation

Example: Price Manipulation

Race Conditions

Types Detected

Testing Methodology

Example: Double Spending

Workflow Bypass

Authentication Workflow

Example: MFA Bypass

Multi-Step Process Bypass

Limit Bypass

Types

Example: Rate Limit Bypass

Inventory Manipulation

Testing Scenarios

Feature Abuse

Common Abuse Patterns

Example: Referral Abuse

Data Validation Flaws

Insufficient Validation

AI-Powered Detection

AI Detection Examples

Remediation Guidelines