Summary

NeuroSploitv2 is an advanced, AI-powered penetration testing framework designed to automate and augment offensive security operations. It leverages large language models (LLMs) to provide specialized agent roles that analyze targets, identify vulnerabilities, and plan exploitation strategies, benefiting security professionals by streamlining complex tasks and enhancing operational efficiency.

How It Works

The framework employs modular AI agents, each tailored for specific security tasks (e.g., Red Team, Bug Bounty Hunter), powered by LLMs. It offers flexible integration with multiple LLM providers (Gemini, Claude, GPT, Ollama, LM Studio) via configurable profiles, supporting dynamic Markdown prompts. NeuroSploitv2 incorporates hallucination mitigation strategies and guardrails, alongside extensible tooling and tool-chaining capabilities for complex workflows.

Quick Start & Requirements

Installation involves cloning the repository, creating a Python virtual environment, and installing dependencies via pip install -r requirements.txt. Key requirements include configuring LLM API keys (Anthropic, OpenAI, Gemini) as environment variables and optionally setting up local LLM servers (Ollama, LM Studio). Paths to external security tools (Nmap, Metasploit, etc.) must be correctly specified in config.json.

Highlighted Details

• Modular Agent Roles: Specialized AI personas for distinct security functions.
• Flexible LLM Integration: Supports major LLM providers with granular profile configuration.
• Hallucination Mitigation: Implements grounding, self-reflection, and consistency checks.
• Extensible Tooling: Seamless integration with common security tools like Nmap, Nuclei, and Metasploit.
• Structured Reporting: Generates detailed JSON and user-friendly HTML reports.
• Built-in Reconnaissance & Lateral Movement Modules.

Maintenance & Community

The project welcomes contributions via forks, issues, and pull requests. Specific community channels (Discord, Slack) or a roadmap are not detailed in the provided README.

Licensing & Compatibility

Licensed under the MIT License, which is generally permissive for commercial use and integration into closed-source projects.

Limitations & Caveats

Setup requires careful configuration of API keys and external tool paths. The effectiveness of AI-driven tasks is contingent on the underlying LLM's capabilities and prompt design. No specific limitations, known bugs, or deprecation notices were detailed in the README.