NeuroSploitv2 – AI-Powered Pentesting Tool With Claude, GPT, and Gemini models to Detect vulnerabilities

NeuroSploitv2 is an AI-powered penetration testing framework designed to automate key aspects of offensive security operations using advanced language models. This framework is available on GitHub and integrates with several large language model (LLM) providers, such as Claude, GPT, Gemini, and Ollama, to facilitate specialized vulnerability analysis and exploitation strategies.

NeuroSploitv2 features a modular architecture with specialized AI agent roles tailored for specific security tasks. These roles include:

Bug bounty hunters for web application vulnerability discovery Red team operators for simulated attack campaigns Malware analysts for threat analysis Blue team specialists for defensive operations

Each agent operates with tailored parameters and tool access controls, enabling controlled and ethical security operations. The framework employs advanced methods to reduce false outputs, which is crucial when using LLMs for security tasks.

Feature Description

Multi-LLM Support Integrates Claude, GPT, Gemini, and Ollama with flexible provider selection

AI Agent Roles Pre-configured personas including Red Team, Bug Bounty Hunter, Malware Analyst, Blue Team, and OWASP/CWE Experts

Hallucination Mitigation Implements grounding, self-reflection, and consistency checks to reduce LLM errors

Granular LLM Profiles Customizable temperature, token limits, context levels, and caching per agent

Tool Integration Supports Nmap, Metasploit, Subfinder, Nuclei, SQLMap, Burpsuite, and Hydra

Safety Guardrails Keyword filtering, content validation, and ethical adherence controls

Interactive Mode Conversational CLI interface for direct agent control and execution

Structured Reporting JSON campaign results and HTML reports for workflow integration

Markdown Prompts Dynamic prompt templates for context-aware agent instructions

Extensibility Custom agent roles and tools easily added via JSON configuration

NeuroSploitv2 allows users to integrate external security tools such as Nmap, Metasploit, Subfinder, Nuclei, and SQLMap through a straightforward JSON configuration. Granular LLM profiles enable security teams to customize parameters such as temperature settings, token limits, context levels, and caching behavior for each agent role.

The framework generates structured JSON results and human-readable HTML reports, facilitating integration into existing security workflows. It is designed with operational flexibility, allowing organizations to execute automated scans via command-line interfaces or engage in interactive mode for conversational testing.

As an open-source MIT-licensed project, NeuroSploitv2 represents a significant development in AI-augmented offensive security. However, it is important to note that LLM-generated penetration testing requires careful validation and experienced oversight. The framework is intended to augment human expertise with ethical considerations and operational security integrated into its core architecture.

Continuous development includes regular updates to agent capabilities and tool integrations, positioning NeuroSploitv2 as an evolving solution for contemporary penetration testing challenges.

Based on reporting by Cyber Security News.