Models for Penetration Testing

Explore how models can be used for penetration testing and security analysis.

Models

CySec Known Exploit Analyzer: A neural network model designed to detect and assess known cybersecurity exploits in network traffic. It provides real-time threat detection and analysis.
Penetration Testing Automation AI: A specialized AI model for automating penetration testing tasks, offering executable commands and configurations optimized for Linux.

Pentest Software

PentestGPT: An AI-powered penetration testing assistant that simplifies scanning, exploiting, and analyzing web applications, networks, and cloud environments.
PentestGPT GitHub: The open-source repository for PentestGPT, providing tools for advanced penetration testing with AI integration.
AISA Scanner: An autonomous AI security agent that maps CVEs to exploits, generates enterprise-grade reports, and supports offline use.
PentestAI-ML: A machine learning-based tool for automating penetration testing and exploitation, mapping CVEs to Metasploit payloads.
Pentest Muse CLI: A command-line tool for penetration testers, offering brainstorming, payload generation, and task automation.