3 repositorios
Using a set of predefined test cases to validate the presence of security vulnerabilities.
Distinct from Inline Pattern Test Cases: Different from inline reproducers or parametrized tests; it is a methodology for validating vulnerabilities via test cases.
Explore 3 awesome GitHub repositories matching testing & quality assurance · Test-Case-Driven Vulnerability Validation. Refine with filters or upvote what's useful.
HowToHunt is a bug bounty hunting knowledge base and a structured guide for web application penetration testing. It provides a research methodology for organizing security testing procedures and validating application behaviors against known vulnerability patterns. The project features a curated library of security flaws and reconnaissance techniques. It organizes security testing into modular playbooks, checklists, and categorical vulnerability mappings to align specific exploitation techniques with target weaknesses. The repository covers a systematic sequence of information gathering task
Uses a test-case-driven process to confirm security flaws by matching application behavior against vulnerability patterns.
jwt_tool is a security testing toolkit designed for analyzing, tampering with, and auditing JSON Web Tokens to identify cryptographic vulnerabilities and implementation flaws. It serves as a comprehensive suite for security auditing and vulnerability scanning, providing a debugging interface to inspect token headers and payloads. The project distinguishes itself through specialized capabilities for token forgery and secret cracking. It includes a token generator that signs custom tokens using RSA, ECDSA, and symmetric algorithms, and a brute force tool that uses high-speed dictionary attacks
Executes a sequence of predefined test cases against target URLs to detect known token misconfigurations.
js-assessment es un framework de evaluación técnica de JavaScript y evaluador de calidad de código. Proporciona un entorno basado en pruebas para evaluar habilidades de programación al requerir que los candidatos implementen lógica que resuelva un conjunto de casos de prueba fallidos. El sistema incluye un entorno de prueba de API mock que simula fuentes de datos externas cargando archivos JSON locales mediante solicitudes de red. Esto permite la validación de cómo el código maneja los datos de la API durante el proceso de evaluación. El framework cubre la verificación de la calidad del código mediante scripts de linting automatizados y la evaluación de habilidades técnicas mediante un proceso de validación basado en scripts. Organiza los desafíos en ejercicios modulares donde cada caso de prueba valida una pieza específica de lógica.
Evaluates technical skill by requiring the implementation of logic to resolve a predefined set of failing test cases.