Need

Enforce rate limiting to control the frequency of user interactions, including password change requests

Context

Description

# --- Post creation ---
from django.http import HttpResponse
from django.views import View

class MyView(View):
    def post(self, request, *args, **kwargs):
        # Process the request
        return HttpResponse('Hello, World!')...

**Post creation:** In the above code snippet, we have a simple Django view that processes POST requests. The `post` method is a built-in method in Django that handles POST requests to the server. Here, any client can send unlimited POST requests to this view without any restriction. This can lead to several issues such as Denial of Service (DoS) attacks where an attacker could potentially send a large number of requests to the server, causing it to become overwhelmed and unresponsive to other users. Another issue could be resource exhaustion. Each request takes up server resources to process. Without a limit, an attacker could send enough requests to use up all available server resources, causing legitimate requests to fail or be slow. This is a clear example of the vulnerability "Improper control of interaction frequency". The system does not limit the amount of requests (rate limit) that a user can post to the server in a short period of time. **Password change:** This Python code is using the Django framework to handle password change requests for a user. The `change_password` function is invoked when a POST request is made to the server. This function takes in the user's request, creates a `PasswordChangeForm` with the user's data, and then checks if the form is valid. If the form is valid, the password is saved and the session auth hash is updated. The vulnerability in this code is that it does not limit the number of password change requests that can be made in a day. This means that an attacker could potentially make unlimited password change requests, which could lead to a denial of service (DoS) attack or could be used as part of a brute force attack to guess the user's password.

# --- Post creation ---
from django.http import HttpResponse
from django.views import View
from django_ratelimit.decorators import ratelimit

class MyView(View):
    @ratelimit(key='ip', rate='10/m', block=True)
    def post(self, request, *args, **kwargs):...

**Post creation:** The above code uses the Django Ratelimit library to implement rate limiting on the `post` method of `MyView`. The `@ratelimit` decorator is used to specify the rate limiting rules. The `key` argument is set to `'ip'`, which means the rate limiting will be based on the IP address of the incoming request. This means that each unique IP address will be treated as a unique user. The `rate` argument is set to `'10/m'`, which means that a maximum of 10 requests are allowed per minute from each unique IP address. The `block` argument is set to `True`, which means that if a user exceeds the rate limit, their request will be blocked and they will receive a 429 'Too Many Requests' response. This way, the system controls the frequency of requests from a single user, mitigating the vulnerability of improper control of interaction frequency. **Password change:** The updated code now includes a check for the number of password changes made by the user in the last 24 hours before allowing another password change. This is done by querying a new `PasswordChangeHistory` model, which stores the history of password changes for each user. If the number of password changes in the last 24 hours is 3 or more, the password change is not allowed and an error message is returned to the user. If the number of password changes is less than 3, the password change is allowed and a new entry is added to the `PasswordChangeHistory` model. The `PasswordChangeHistory` model should be defined in your `models.py` file and should include fields for the user (a foreign key to the `User` model), and the timestamp of the password change. This solution ensures that users cannot change their password more than a certain number of times in a 24 hour period, helping to prevent attacks that rely on rapidly changing passwords.

References