awesome-repositories.com
Blog
MCP
awesome-repositories.com

Descubre los mejores repositorios open-source con nuestra búsqueda potenciada por IA.

ExplorarBúsquedas curadasAlternativas open-sourceSoftware autohospedableBlogMapa del sitio
ProyectoServidor MCPAcerca deCómo clasificamosPrensa
Aviso legalPrivacidadTérminos
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 repositorios

Awesome GitHub RepositoriesAI-Driven Penetration Testing

Application of large language models to automate the execution and decision-making process of penetration tests.

Distinct from Model Red-Teaming: Focuses on using AI to conduct tests on targets, rather than testing the AI model itself

Explore 2 awesome GitHub repositories matching security & cryptography · AI-Driven Penetration Testing. Refine with filters or upvote what's useful.

Awesome AI-Driven Penetration Testing GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • funnywolf/viperAvatar de FunnyWolf

    FunnyWolf/Viper

    4,964Ver en GitHub↗

    Viper is a command and control infrastructure manager and post-exploitation framework designed for adversary attack simulation and security assessment. It functions as an orchestrator for penetration testing, combining a system for managing compromised hosts across multiple operating systems with tools for security workflow automation. The platform is distinguished by its use of large language model agents to coordinate red team tasks, automate data processing, and provide intelligent decision support. It includes a network pivot visualizer that uses directional graphs to map relationships an

    Employs LLM agents to automate penetration testing tasks and provide intelligent decision support.

    agentaicobalt-strike
    Ver en GitHub↗4,964
  • hahwul/dalfoxAvatar de hahwul

    hahwul/dalfox

    4,846Ver en GitHub↗

    Dalfox is an automated web application security tool specifically designed for discovering and verifying cross-site scripting vulnerabilities. It functions as an XSS vulnerability scanner that analyzes HTTP parameters and DOM structures to identify reflected, stored, and blind injection points. The project distinguishes itself by providing a Model Context Protocol server and a REST API, allowing artificial intelligence agents and remote interfaces to trigger and manage security scans programmatically. It utilizes a payload mutation engine and fingerprinting strategies to execute WAF evasion t

    Integrates AI agents with security tools via the Model Context Protocol to automate the scan triggering process.

    Gobugbountybugbounty-toolcicd-pipeline
    Ver en GitHub↗4,846
  1. Home
  2. Security & Cryptography
  3. AI-Driven Penetration Testing