Need

Implementation of robust data validation and sanitization mechanisms

Context

• Usage of C# for building robust and scalable applications
• Usage of System for accessing and manipulating system-level resources and functionalities
• Usage of System.Collections.Generic for working with generic collections in .NET
• Usage of System.Linq for querying and manipulating data in C#
• Usage of System.Threading.Tasks for asynchronous programming in .NET
• Usage of Microsoft.AspNetCore.Mvc for building web applications with ASP.NET Core

Description

Non compliant code

        using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;
using Microsoft.AspNetCore.Mvc;

namespace VulnerableApp.Controllers
{
    [Route("api/[controller]")]
    public class DataController : Controller
    {
        // POST api/data
        [HttpPost]
        public void Post([FromBody]string value)
        {
            //No validation on the input
        }
    }
}
        
        

In the above code, we have a DataController with a Post method that accepts a string value from the request body. The string value is directly used without any form of validation. This is a security vulnerability as it allows for a variety of attacks such as SQL Injection, Cross-Site Scripting (XSS), etc.

Moreover, the application does not have any control over the size of the fields that can be sent to the server. This can potentially lead to Buffer Overflow attacks where an attacker sends data of a size that the application cannot handle, thereby causing it to crash or execute arbitrary code.

The lack of input validation and control over the size of the input makes the application vulnerable to a wide range of attacks.

Steps

• Implement server-side data validation to ensure that only valid and expected data is accepted.
• Use input validation techniques such as whitelisting, blacklisting, or regular expressions to validate the data.
• Implement size restrictions on the input fields to prevent potential buffer overflow or denial of service attacks.
• Consider using a validation library or framework provided by the ASP.NET Core ecosystem to simplify the validation process.
• Handle validation errors gracefully and provide meaningful error messages to the client.
• Regularly update and patch the application to ensure that any known vulnerabilities in the validation mechanisms are addressed.

Compliant code

        using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;
using Microsoft.AspNetCore.Mvc;
using System.ComponentModel.DataAnnotations;

namespace VulnerableApp.Controllers
{
    [Route("api/[controller]")]
    public class DataController : Controller
    {
        // POST api/data
        [HttpPost]
        public IActionResult Post([FromBody]InputModel value)
        {
            if (!ModelState.IsValid)
            {
                return BadRequest(ModelState);
            }

            // Process the input
            // ...

            return Ok();
        }
    }

    public class InputModel
    {
        [Required]
        [StringLength(100, ErrorMessage = "The {0} value cannot exceed {1} characters. ")]
        public string Value { get; set; }
    }
}
        
        

The updated code now includes server-side data validation to ensure that only valid and expected data is accepted.

The InputModel class is introduced to represent the data that the client sends to the server. This class has a Value property that is decorated with the [Required] and [StringLength] attributes. The [Required] attribute ensures that the client provides a value for this property, while the [StringLength] attribute restricts the length of the value to a maximum of 100 characters to prevent potential buffer overflow or denial of service attacks.

In the Post method, the ModelState.IsValid property is checked to determine whether the received data is valid according to the defined validation rules. If the data is not valid, the method returns a BadRequest response that includes the validation errors. This way, the application handles validation errors gracefully and provides meaningful error messages to the client.

By implementing these changes, the application now has a robust server-side data validation mechanism that helps to mitigate the risks associated with the lack of data validation. It is also recommended to regularly update and patch the application to ensure that any known vulnerabilities in the validation mechanisms are addressed.

References

• 186. Lack of data validation - Web Service