security-review-owasp-denial-of-service

Identify denial-of-service weaknesses in application request handling and resource controls.

Updated Mar 26, 2026
One-click install
npx skills add https://github.com/sjinks/ai-owasp-skillset --skill security-review-owasp-denial-of-service
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: security-review-owasp-denial-of-service
Source: https://github.com/sjinks/ai-owasp-skillset/tree/main/.github/skills/security-review-owasp-denial-of-service
Command: npx skills add https://github.com/sjinks/ai-owasp-skillset --skill security-review-owasp-denial-of-service

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps reviewers identify ways applications can be forced into resource exhaustion, slowdowns, or outages through attacker-controlled requests, expensive processing, or brittle dependencies.

Core Features & Use Cases

  • Reviews rate limiting, request sizing, timeout policy, and concurrency ceilings for exposed paths.
  • Checks graceful degradation, backpressure, retries, and failover behavior under saturation.
  • Useful when assessing APIs, background workers, session handling, file processing, and distributed services for denial-of-service exposure.

Quick Start

Use the security-review-owasp-denial-of-service skill to review this endpoint or workflow for resource exhaustion, missing timeouts, and weak rate controls.

Frequently Asked Questions about security-review-owasp-denial-of-service

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I review my API for denial-of-service and resource exhaustion risks?

Review your API for denial-of-service risks by evaluating request handling, concurrency ceilings, timeout policies, and rate limiting on exposed paths. Check that resource bounds and early rejection controls are in place to prevent saturation and slowdowns.

What is graceful degradation and how does it prevent application outages during saturation?

Graceful degradation prevents application outages by ensuring systems shed load or reduce functionality under saturation. It involves assessing backpressure, retries, and failover behavior so that attacker-controlled requests or brittle dependencies do not force resource exhaustion.

How do I check if my application has effective rate limiting and timeout controls?

Check rate limiting and timeout controls by reviewing request sizing, concurrency ceilings, and timeout policies across exposed paths. Verify that early rejection mechanisms and saturation controls are actively configured rather than relying on unverified assumptions.

Can I use this approach to assess background workers and file processing for DoS exposure?

Yes, you can assess background workers, file processing, session handling, and distributed services for denial-of-service exposure. The review checks resource bounds, failover behavior, and concurrency controls to identify slowdowns or outages from expensive processing.

What is the best way to identify missing concurrency ceilings and weak saturation controls?

The best way to identify missing concurrency ceilings is through evidence-based assessment of request handling and saturation controls. Review failover behavior, backpressure, and early rejection mechanisms to find weak rate controls before an outage occurs.

Why does my application slow down under heavy request loads despite having basic rate limits?

Your application slows down under heavy loads if basic rate limits lack proper concurrency ceilings, timeout policies, and graceful degradation. Brittle dependencies and missing early rejection controls allow expensive processing to exhaust resources and cause saturation.