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:
Disabling JavaScript in the browser
Modifying the HTML form
Using a tool like Burp Suite to intercept and modify requests
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:
Add item to cart (price: $99.99)
Open DevTools and modify the price in the cart data
Change price to $0.01
Submit order
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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