Lack of data validation - Python

Lack of data validation - Python

Need

Implementation of robust data validation mechanisms

Context

  • Usage of Python 3 for writing and executing Python code
  • Usage of Django for building web applications in Python

Description

Non compliant code

        from django.http import HttpResponse
from django.views import View
from .models import User

class UpdateUserView(View):
    def post(self, request, *args, **kwargs):
        user_id = request.POST.get('user_id')
        new_email = request.POST.get('new_email')

        user = User.objects.get(id=user_id)
        user.email = new_email
        user.save()

        return HttpResponse('User updated successfully.')
        
        

In the code above, we have a Django view that updates a user's email based on the user_id and new_email POST parameters. The user_id is taken directly from the POST data without any validation checks. This can lead to potential issues if the user_id is not a valid integer as expected, but instead is composed of only letters or contains special characters.

The new_email field is also directly updated without any validation, which can lead to invalid email addresses being stored in the database.

This lack of data validation opens up the application to multiple types of vulnerabilities such as SQL Injection, data corruption, and more. It's crucial to always validate and sanitize data coming from the user to ensure it's in the expected format and safe to use in our application.

Steps

  • Add data validation for the 'user_id' and 'new_email' fields before using them.
  • Check if the 'user_id' is a valid integer and if 'new_email' is a valid email address.
  • Handle the case where the 'User.objects.get(id=user_id)' query does not find a user with the given 'user_id'.
  • Use Django's form validation or create a custom validation function to ensure the data is valid before using it.
  • Consider using Django's built-in User model which includes data validation.

Compliant code

        from django.http import HttpResponse, JsonResponse
from django.views import View
from django.core.exceptions import ValidationError
from django.core.validators import validate_email
from .models import User

class UpdateUserView(View):
    def post(self, request, *args, **kwargs):
        user_id = request.POST.get('user_id')
        new_email = request.POST.get('new_email')

        # Validate user_id
        if not user_id.isdigit():
            return JsonResponse({'error': 'Invalid user_id.'}, status=400)

        # Validate new_email
        try:
            validate_email(new_email)
        except ValidationError:
            return JsonResponse({'error': 'Invalid email address.'}, status=400)

        # Get user and update email
        try:
            user = User.objects.get(id=user_id)
            user.email = new_email
            user.save()
        except User.DoesNotExist:
            return JsonResponse({'error': 'User not found.'}, status=404)

        return HttpResponse('User updated successfully.')
        
        

The updated code now includes data validation for both the 'user_id' and 'new_email' fields.

Firstly, it checks if the 'user_id' is a valid integer by using the isdigit() method. If 'user_id' is not a valid integer, it returns a JSON response with an error message and a 400 status code.

Secondly, it validates the 'new_email' field to check if it's a valid email address. This is done using Django's built-in validate_email function. If the email is not valid, it returns a JSON response with an error message and a 400 status code.

Finally, the code attempts to get the user with the given 'user_id' and update their email. If no user with the given 'user_id' is found, it returns a JSON response with an error message and a 404 status code.

This way, the code ensures that only valid data is used and provides appropriate error messages when invalid data is provided.

References