2 مستودعات
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
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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.
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.