What is API fuzzing and why is it important?

API fuzzing is a testing technique that involves sending invalid or unexpected data to an API to find bugs, crashes, and security holes that traditional tests often miss.

Where can I find the results of the fuzzing tests?

The skill automatically generates comprehensive reports, including failure analysis and performance benchmarks, in the {baseDir}/test-reports/ directory.

What tools does this skill require?

The skill utilizes standard file tools (Read, Write, Edit) and requires a bash environment capable of running commands with the 'test:fuzz-*' prefix.

How do I trigger the API Fuzzer skill in Claude Code?

You can trigger the skill by using natural language phrases such as 'fuzz the API', 'run fuzzing tests', or 'discover edge cases' during your Claude Code session.

Can this skill be used for security audits?

Yes, it is specifically designed to detect patterns in failures and identify potential security vulnerabilities, making it a valuable asset for security-focused development.

API Fuzzer

Name: API Fuzzer
Author: BbgnsurfTech

byBbgnsurfTech

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Seguridad y Pruebas

Automates API fuzzing to identify security vulnerabilities, edge cases, and potential system crashes through specialized testing patterns.

Acerca de

The API Fuzzer skill empowers Claude to perform automated, high-intensity testing on API endpoints by injecting unexpected, malformed, or random data. It helps developers uncover hidden bugs, memory leaks, and security flaws that standard unit tests might miss by systematically exploring the input space. By leveraging bash-based fuzzing tools and structured reporting, this skill provides a comprehensive analysis of API robustness, offering detailed insights into failure patterns and performance bottlenecks, making it an essential tool for teams prioritizing security and reliability in their backend services.

Características Principales

Configuration-driven environment setup and validation
1 GitHub stars
Comprehensive test reporting and failure analysis
Performance benchmarking and resource utilization monitoring
Integration with bash-based fuzzing frameworks
Automated edge case and vulnerability discovery

Casos de Uso

Strengthening API security by identifying potential injection or overflow vulnerabilities
Discovering unhandled edge cases in complex request schemas and data models
Stress testing endpoints to ensure stability before production deployment

Acerca de

Características Principales

Configuration-driven environment setup and validation
1 GitHub stars
Comprehensive test reporting and failure analysis
Performance benchmarking and resource utilization monitoring
Integration with bash-based fuzzing frameworks
Automated edge case and vulnerability discovery

Casos de Uso

Strengthening API security by identifying potential injection or overflow vulnerabilities
Discovering unhandled edge cases in complex request schemas and data models
Stress testing endpoints to ensure stability before production deployment