Improper control of interaction frequency
Need
Enforce rate limiting to control the frequency of user interactions, including password change requests
Context
• Usage of C# for developing robust and efficient software applications
• Usage of Microsoft.AspNetCore.Mvc for building web applications with ASP.NET Core
• Usage of Microsoft.AspNetCore.Identity for managing user authentication and authorization in ASP.NET Core applications
• Usage of System.Threading.Tasks for asynchronous programming in .NET
Description
1. Non compliant code
# --- Data endpoint ---
using Microsoft.AspNetCore.Mvc;
using System.Threading.Tasks;
namespace VulnerableApp.Controllers
{
[Route("api/[controller]")]
[ApiController]...**Data endpoint:** The above code represents an API endpoint in an ASP.NET Core application that accepts POST requests at the route `api/data`. The `Post` method takes a string value from the request body and processes it asynchronously. The vulnerability here is that there is no control over the frequency of interaction with this endpoint. This means that a user could potentially make an unlimited number of requests to this endpoint in a short period of time. This can lead to a Denial of Service (DoS) attack where the server is overwhelmed with requests, causing it to slow down or crash. In addition, if the `ProcessData` method involves resource-intensive operations such as database writes, the lack of rate limiting could lead to resource exhaustion, further degrading the performance of the server or even causing data loss or corruption. The system is vulnerable to automated attacks as well because bots can be programmed to make rapid, repeated requests to the endpoint. This vulnerability is often exploited in brute-force attacks, where an attacker attempts to guess a value (such as a password) by trying all possible combinations. Without rate limiting, such an attack could be carried out very quickly. **Password change:** The above code is an example of a weak credential policy vulnerability due to unlimited password change requests. The `ChangePassword` method in the `UserController` class is responsible for changing the user's password. It first finds the user by ID using the `FindByIdAsync` method of the `_userManager` object. If the user is not found, it returns a `NotFound` response. If the user is found, it proceeds to change the password using the `ChangePasswordAsync` method of the `_userManager` object. The vulnerability lies in the fact that there is no limit to the number of times a password can be changed in a given time period. This can be exploited by an attacker to flood the system with password change requests, potentially causing a denial of service (DoS) attack. Additionally, if an attacker gains access to a user's account, they can continually change the password, effectively locking out the legitimate user.
2. Steps
• Implement rate limiting to restrict the number of requests a user can make within a certain time frame.
• Use a middleware or filter to intercept incoming requests and check if the user has exceeded the allowed limit.
• Track the number of requests made by each user and the timestamp of the last request.
• If the user has exceeded the limit, return an appropriate error response (e.g., HTTP 429 Too Many Requests).
• Consider using a sliding window algorithm or token bucket algorithm to implement the rate limiting logic.
• Configure the rate limit values (e.g., maximum number of requests and time frame) based on your application's requirements.
• Test the rate limiting implementation to ensure it effectively restricts the frequency of user interactions.
• Implement a password change limit policy.
• Add a configuration setting to specify the maximum number of password changes allowed per day.
• Track the number of password change requests made by a user within a day.
• Check the number of password change requests made by a user before allowing a password change.
• If the user has reached the maximum number of password changes, reject the password change request.
• Consider implementing additional security measures such as account lockout after multiple failed password change attempts.
3. Secure code example
# --- Data endpoint ---
using Microsoft.AspNetCore.Mvc;
using System.Threading.Tasks;
using AspNetCoreRateLimit;
using Microsoft.Extensions.Options;
namespace VulnerableApp.Controllers
{...**Data endpoint:** The updated code now includes rate limiting to restrict the number of requests a user can make within a certain time frame. This is achieved by using the `AspNetCoreRateLimit` library, which provides middleware for rate limiting based on IP address or client ID. In the `DataController` constructor, we inject `IClientPolicyStore`, which is used to check if a client has exceeded their rate limit. In the `Post` method, we first check if the client has exceeded their rate limit by calling `_clientPolicyStore.IsClientRateLimited("client-id")`. If the client has exceeded their limit, we return an HTTP 429 (Too Many Requests) response. The `EnableRateLimiting` attribute is added to the `Post` method to enable rate limiting for this endpoint. The rate limit values (e.g., maximum number of requests and time frame) can be configured in the application's configuration file. This implementation uses a sliding window algorithm to track the number of requests made by each client and the timestamp of the last request. If a client exceeds their limit, subsequent requests will be denied until enough time has passed for the request count to fall below the limit. This rate limiting implementation should be tested to ensure it effectively restricts the frequency of user interactions. **Password change:** The updated code now includes a password change limit policy. This policy is enforced by tracking the number of password change requests made by each user within a day. The `UserController` now takes an additional `IConfiguration` parameter in its constructor, which is used to access configuration settings. A new configuration setting, `MaxPasswordChangesPerDay`, is used to specify the maximum number of password changes allowed per day. A `Dictionary<string, int>` named `_passwordChangeTracker` is used to track the number of password change requests made by each user. The user's ID is used as the key, and the value is the number of password change requests made by the user. Before a password change is allowed, the code checks if the user has already reached the maximum number of password changes for the day. If the user has reached the limit, the password change request is rejected and a "Bad Request" response is returned with a message indicating that the user has reached the maximum number of password changes allowed for the day. If the password change is successful, the code increments the password change count for the user in the `_passwordChangeTracker` dictionary. If the user is not already in the dictionary, they are added with a count of 1. This approach helps to mitigate the risk of attacks that attempt to change a user's password multiple times in a short period.
References
• 108. Improper control of interaction frequency