NeuroSploit

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NeuroSploit is an AI-powered penetration testing framework that automates offensive security operations. It leverages large language models to identify and exploit vulnerabilities, running scans in isolated Kali Linux containers.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is NeuroSploit?

NeuroSploit v3 is an advanced, AI-powered penetration testing framework designed to automate and augment various aspects of offensive security operations. It leverages large language models (LLMs) like Claude, GPT, and Gemini to identify and exploit vulnerabilities across 100 types. The platform features autonomous agents with a 3-stream parallel pentest architecture, per-scan isolated Kali Linux containers, and an anti-hallucination pipeline for validation. It includes an exploit chain engine, WAF detection and bypass, and a modern React web interface with real-time monitoring and a sandbox dashboard. NeuroSploit aims to streamline security assessments for technical users.

Best used for

Ideal for developers and security professionals who need to automate complex penetration tests, identify a wide range of vulnerabilities, and generate detailed security reports. Especially valuable for those requiring isolated testing environments and advanced AI-driven exploit chaining capabilities.

Common actions

automate penetration testing

identify vulnerabilities

exploit security flaws

conduct security assessments

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Capabilities

Key features

AI-driven autonomous agents
100 vulnerability types
Isolated Kali Linux containers
Anti-hallucination pipeline
Exploit chain engine
WAF detection & bypass
Real-time monitoring dashboard

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What large language models does NeuroSploit support?

NeuroSploit supports multiple LLM providers, including Claude, GPT, Gemini, Ollama, LMStudio, and OpenRouter. This multi-provider LLM routing allows users flexibility in choosing their preferred AI model for penetration testing operations and vulnerability analysis.

How does NeuroSploit ensure the accuracy of its findings?

NeuroSploit employs an anti-hallucination pipeline that includes negative controls, proof-of-execution checks, and confidence scoring. A validation judge acts as the sole authority for approving findings, significantly reducing false positives and enhancing report reliability.

Can NeuroSploit detect and bypass Web Application Firewalls (WAFs)?

Yes, NeuroSploit includes WAF detection capabilities for 16 different WAF signatures. It also integrates 12 bypass techniques, allowing the autonomous agent to adapt its strategy and continue testing even when WAFs are present.

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