Improper Model Validation

Improper Model Validation occurs when an ASP.NET application fails to properly validate user input against the model validation framework, or doesn't use the validation framework at all. This allows attackers to submit malicious or unexpected data that bypasses validation rules, leading to data corruption, privilege escalation, business logic bypass, and data injection attacks.

The vulnerability is specific to ASP.NET's model binding and validation system. Developers often bypass or misconfigure the framework, trusting client-side validation or assuming certain data will always be valid.


Real-World Attack Scenarios

Scenario 1: Bypassing Required Field Validation

An application has a registration form with client-side validation for required fields:

public class UserRegistration {
    [Required(ErrorMessage = "Email is required")]
    [EmailAddress(ErrorMessage = "Invalid email")]
    public string Email { get; set; }
    
    [Required(ErrorMessage = "Password is required")]
    [MinLength(8)]
    public string Password { get; set; }
}

The vulnerability:

A developer implements validation only on the client-side (HTML5 required attributes), trusting the browser to enforce it:

<form>
    <input type="email" name="Email" required>
    <input type="password" name="Password" required minlength="8">
    <button type="submit">Register</button>
</form>

The attack:

An attacker bypasses client-side validation by:

  1. Disabling JavaScript in the browser

  2. Modifying the HTML form

  3. Using a tool like Burp Suite to intercept and modify requests

  4. Sending a POST request with empty fields

Since server-side validation is missing, the application accepts empty values and creates an invalid account.

Result:

  • Invalid user accounts in the database

  • NULL values in email field

  • Broken authentication logic

  • Data corruption

Finding it: Test registration/form endpoints with empty fields. Disable JavaScript and submit forms. Use Burp Suite to intercept requests and remove field values. Check if the server accepts invalid data.

Exploit:


Scenario 2: Type Mismatch and Data Type Bypass

An application expects an integer for a product quantity:

The vulnerability:

The application doesn't properly validate the type or range:

The attack:

An attacker submits a non-integer or out-of-range value:

Or uses a negative number:

Result:

  • Database accepts invalid quantity

  • Integer overflow/underflow occurs

  • Customer gets negative quantity (refund instead of purchase)

  • Order system breaks

Finding it: Test numeric fields with non-numeric values. Submit negative numbers. Submit extremely large numbers. Submit decimal values where integers expected. Check if validation occurs server-side.

Exploit:


Scenario 3: Privilege Escalation via Role Assignment

An admin dashboard allows creating user accounts and assigning roles:

The vulnerability:

The Role field has no validation. An attacker can assign themselves admin role during registration:

Or modify an existing user's role:

Result:

  • Attacker becomes admin

  • Full access to all user accounts

  • Can delete users, modify data, view sensitive information

  • Complete system compromise

Finding it: Look for role/permission fields. Test if you can assign yourself higher privileges. Intercept requests and add role parameters. Check if authorization checks exist server-side.

Exploit:


Scenario 4: Price Manipulation in E-Commerce

An e-commerce site allows customers to submit orders with prices:

The vulnerability:

The application accepts the price from the client without validating it against the database:

The attack:

An attacker modifies prices before submitting the order:

  1. Add item to cart (price: $99.99)

  2. Open DevTools and modify the price in the cart data

  3. Change price to $0.01

  4. Submit order

  5. Charged only $0.01 instead of $99.99

Or send modified order:

Result:

  • Massive revenue loss

  • Attacker receives products for free or pennies

  • Financial fraud

  • Company loses money on every transaction

Finding it: Intercept checkout requests. Modify prices before submission. Check if prices validated against database. See if client-side prices are trusted.

Exploit:


Scenario 5: SQL Injection via Inadequate Validation

An application searches products by category without proper validation:

While ASP.NET Linq protects against typical SQL injection, inadequate validation can allow other attacks:

Or LDAP injection if category is used in LDAP queries:

Finding it: Test input fields with special characters. Try SQL injection payloads. Test LDAP injection if applicable. Check if validation framework is used.


Scenario 6: Email Validation Bypass

An application requires unique email addresses:

The vulnerability:

The application has no server-side validation of email uniqueness. It only checks the [EmailAddress] attribute format:

The attack:

An attacker registers with the same email multiple times:

Request twice with same email → creates duplicate accounts

Result:

  • Duplicate user records

  • Email-based lookups break

  • Password reset tokens work for multiple accounts

  • Authentication vulnerabilities

Finding it: Register with the same email twice. Check if duplicates are allowed. Test validation messages. See if database constraints exist.


Scenario 7: Date Validation Bypass

An application accepts date input:

The vulnerability:

No validation of date logic (e.g., start date must be before end date, event must be in future):

The attack:

Submit invalid date combinations:

(End date before start date)

Or create events in the past:

Result:

  • Invalid events in the system

  • Broken reporting and analytics

  • Business logic failures


Mitigation Strategies

Always validate server-side Never trust client-side validation alone:

Use data annotations properly

Implement custom validation

Validate against database

Whitelist valid values

Check authorization on server

Use validation frameworks

  • Fluent Validation

  • Data Annotations

  • Custom validation attributes

  • Third-party validators

Validate on every layer

  • Client-side: UX improvement

  • API/Server-side: Security boundary

  • Database: Data integrity (constraints)


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