Lack of data validation - Responses
Need
Implementation of robust data validation for response data
Context
- Usage of Scala for functional and object-oriented programming in the JVM environment
- Usage of play.api.mvc for handling HTTP requests and responses in Play Framework
Description
Non compliant code
import play.api.mvc._
object Application extends Controller {
def sendResponse = Action { request =>
val data = request.body.asFormUrlEncoded
val response = data.get("response").head
Ok(response)
}
def receiveResponse = Action { request =>
val data = request.body.asFormUrlEncoded
val previousResponse = data.get("previousResponse").head
Ok(s"Received response: $previousResponse")
}
}
The above Scala code snippet is a simple representation of a Play Framework backend application with two endpoints: sendResponse
and receiveResponse
.
The sendResponse
endpoint is accepting a POST request and extracting the response
parameter from the request body. This response
is then directly sent back to the client without any data validation.
The receiveResponse
endpoint is also accepting a POST request, but this time it's extracting the previousResponse
parameter from the request body. This previousResponse
is supposed to be the response received from the sendResponse
endpoint. However, again there is no data validation performed here.
This code is vulnerable because it blindly trusts the data it receives from the client. If a malicious user modifies the response
data in the sendResponse
endpoint or the previousResponse
data in the receiveResponse
endpoint to contain invalid or harmful data, the application will accept it without any checks, potentially leading to serious security issues.
Steps
- Implement data validation on the response data before using it in subsequent requests.
- Validate the response data against expected formats, data types, and constraints.
- Use appropriate validation techniques such as regular expressions, type checking, or custom validation logic.
- Handle validation errors gracefully and provide meaningful error messages to the user.
- Consider using a validation library or framework to simplify the validation process.
- Ensure that the validation is performed on both the server-side and client-side to provide a robust defense against malicious data.
- Regularly review and update the validation logic to adapt to changing requirements and potential new vulnerabilities.
Compliant code
import play.api.mvc._
import play.api.data._
import play.api.data.Forms._
object Application extends Controller {
case class ResponseData(response: String)
val responseForm: Form[ResponseData] = Form(
mapping(
"response" -> nonEmptyText
)(ResponseData.apply)(ResponseData.unapply)
)
def sendResponse = Action { implicit request =>
val errorFunction = { formWithErrors: Form[ResponseData] =>
BadRequest("Invalid data")
}
val successFunction = { data: ResponseData =>
Ok(data.response)
}
responseForm.bindFromRequest.fold(errorFunction, successFunction)
}
def receiveResponse = Action { implicit request =>
val errorFunction = { formWithErrors: Form[ResponseData] =>
BadRequest("Invalid data")
}
val successFunction = { data: ResponseData =>
Ok(s"Received response: ${data.response}")
}
responseForm.bindFromRequest.fold(errorFunction, successFunction)
}
}
The updated code includes data validation for the response data. The Play framework's form handling capabilities are used to define a form that maps to a case class ResponseData
. This form includes a single field, response
, which is validated as non-empty text.
The sendResponse
and receiveResponse
methods are updated to use this form. The form data is bound from the request, and the result is either a valid ResponseData
object or a form with errors.
If the form has errors (i.e., the response data is invalid), the errorFunction
is called, which returns a BadRequest
response with a message of "Invalid data".
If the form is valid, the successFunction
is called, which returns an Ok
response with the response data.
This approach ensures that invalid response data is not used in subsequent requests, providing a robust defense against malicious data.