NeuroSploit v2 is an advanced AI-powered penetration testing framework designed to automate and enhance offensive security operations.
Leveraging cutting-edge large language model (LLM) technology, the framework brings automation to vulnerability assessment, threat simulation, and security analysis workflows.
NeuroSploit v2 represents a significant evolution in how organizations approach penetration testing by combining artificial intelligence with established security methodologies.
The framework enables security professionals to execute specialized AI agents tailored for specific tasks, from red team simulations to malware analysis, all while maintaining ethical and operational security standards.
Flexible LLM Architecture
One of the standout features of NeuroSploit v2 is its support for multiple LLM providers. Users can configure the framework to work with Gemini, Claude, GPT (OpenAI), or Ollama, depending on their infrastructure requirements and preferences.
This flexibility ensures organizations can integrate the tool into their existing security ecosystems without vendor lock-in concerns.
Each LLM profile can be independently customized with specific parameters including model selection, temperature settings, token limits, and context levels.
The framework implements sophisticated hallucination mitigation strategies to ensure reliable AI-generated security assessments.
| Feature | Description |
|---|---|
| Modular Agent Roles | Red Team, Blue Team, Bug Bounty Hunter, Malware Analyst, OWASP Expert, CWE Expert, Pentest Generalist, Replay Attack Specialist, Exploit Expert |
| Multi-Provider LLM | Supports Gemini, Claude, GPT-4, and Ollama with flexible model selection |
| LLM Profiles | Custom settings per agent: temperature, max tokens, input/output limits, caching, context level |
| Markdown Prompt Templates | Dynamic prompts with context-aware instructions for agent behavior guidance |
| Hallucination Mitigation | Implements grounding, self-reflection, and consistency checks |
| Content Guardrails | Keyword filtering, length validation, ethical compliance checks |
| Tool Integration | Nmap, Metasploit, Subfinder, Nuclei, Burp Suite, SQLMap, Hydra, and custom tools |
| JSON & HTML Reports | Structured campaign results and human-readable HTML reports |
| Interactive CLI | Command-line execution and conversational interaction modes |
| Token Management | Input/output limits, response caching, context optimization |
| Search Context Levels | Low, medium, high context injection for enhanced analysis |
| PDF Support | Direct PDF processing capabilities for select LLM providers |
Built-in guardrails including keyword filtering, length validation, and ethical content checks work together to reduce false positives and maintain output quality.
These safety mechanisms are particularly important in penetration testing, where inaccurate recommendations could compromise testing effectiveness.
NeuroSploit v2 comes pre-configured with nine specialized agent personas, including bug bounty hunters, red team operators, malware analysts, and OWASP experts.
Each agent role has distinct capabilities and tool access, allowing security teams to delegate specific assessment tasks appropriately.
The modular design enables organizations to create custom agent roles aligned with their unique testing requirements.
The framework is open-source and available on GitHub under the MIT license, enabling community contributions and customizations.
Installation requires Python, essential dependencies, and appropriate API key configuration for LLM providers.
Security teams interested in AI-assisted penetration testing now have a robust, configurable platform ready for deployment in their testing environments.
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