HIGH rate limiting bypassazure

Rate Limiting Bypass on Azure

Azure-Specific Remediation

Implementing effective rate limiting in Azure requires a multi-layered approach using Azure's native services and features. Here are specific remediation strategies for Azure environments.

Azure API Management Rate Limiting

Configure granular rate limiting policies in Azure API Management:

 

Related CWEs: resourceConsumption

CWE IDNameSeverity
CWE-400Uncontrolled Resource Consumption HIGH
CWE-770Allocation of Resources Without Limits MEDIUM
CWE-799Improper Control of Interaction Frequency MEDIUM
CWE-835Infinite Loop HIGH
CWE-1050Excessive Platform Resource Consumption MEDIUM

Frequently Asked Questions

How does Azure's distributed architecture make rate limiting bypass more challenging?
Azure's global distribution means requests can be routed through different data centers and regions. Without proper distributed rate limiting using services like Azure Cache for Redis or Cosmos DB, attackers can exploit this by sending requests from different geographic locations, bypassing regional rate limits. Implementing centralized rate limiting with consistent counters across all instances is essential.
Can middleBrick detect rate limiting bypass vulnerabilities in Azure Functions?
Yes, middleBrick's black-box scanning can identify rate limiting bypass vulnerabilities in Azure Functions by testing concurrency limits, examining function app settings, and checking for missing rate limiting policies. The scanner tests multiple requests simultaneously to identify if the default concurrency settings (which allow multiple parallel executions) can be exploited to bypass rate limits.