NeuroSploit/QUICKSTART.md

NeuroSploitv2 - Quick Start Guide

🚀 Fast Track Setup (5 minutes)

YouTube Video: https://youtu.be/SQq1TVwlrxQ

1. Install Dependencies

pip install -r requirements.txt

2. Set Up API Keys (Choose One)

Option A: Using Gemini (Free Tier Available)

export GEMINI_API_KEY="your_gemini_api_key_here"

Get your key at: https://makersuite.google.com/app/apikey

Option B: Using LM Studio (Fully Local, No API Key)

# Download and install LM Studio from: https://lmstudio.ai/
# Start LM Studio and load a model
# Start the local server on port 1234

# Update config/config.json:
{
  "llm": {
    "default_profile": "lmstudio_default"
  }
}

Option C: Using Ollama (Fully Local, No API Key)

# Install Ollama: https://ollama.ai/
ollama pull llama3:8b
ollama serve

# Update config/config.json:
{
  "llm": {
    "default_profile": "ollama_llama3_default"
  }
}

3. Test Installation

# List available agents
python neurosploit.py --list-agents

# List available LLM profiles
python neurosploit.py --list-profiles

---

📝 Basic Usage Examples

Example 1: OSINT Reconnaissance

python neurosploit.py \
  --agent-role bug_bounty_hunter \
  --input "Perform OSINT reconnaissance on example.com"

What it does:

• Uses OSINT Collector to gather public information
• Resolves IP addresses
• Detects web technologies
• Generates email patterns
• Identifies potential social media accounts

Example 2: Subdomain Enumeration

python neurosploit.py \
  --agent-role pentest_generalist \
  --input "Find all subdomains for example.com"

What it does:

• Queries Certificate Transparency logs
• Brute-forces common subdomain names
• Validates discovered subdomains via DNS

Example 3: DNS Enumeration

python neurosploit.py \
  --agent-role pentest_generalist \
  --input "Enumerate all DNS records for example.com"

What it does:

• Discovers A records (IPv4)
• Discovers AAAA records (IPv6)
• Finds MX records (mail servers)
• Identifies NS records (name servers)
• Extracts TXT records

Example 4: Interactive Mode

python neurosploit.py -i

Commands available:

> list_roles
> run_agent pentest_generalist "scan example.com"
> config
> exit

---

🧪 Testing the New Features

Test 1: OSINT Collector

python3 << 'EOF'
from tools.recon.osint_collector import OSINTCollector

collector = OSINTCollector({})
results = collector.collect("google.com")

print("IP Addresses:", results['ip_addresses'])
print("Technologies:", results['technologies'])
print("Email Patterns:", results['email_patterns'][:3])
print("Social Media:", results['social_media'])
EOF

Expected Output:

IP Addresses: ['142.250.xxx.xxx', ...]
Technologies: {'server': 'gws', 'status_code': 200, ...}
Email Patterns: ['info@google.com', 'contact@google.com', ...]
Social Media: {'twitter': 'https://twitter.com/google', ...}

Test 2: Subdomain Finder

python3 << 'EOF'
from tools.recon.subdomain_finder import SubdomainFinder

finder = SubdomainFinder({})
subdomains = finder.find("github.com")

print(f"Found {len(subdomains)} subdomains")
print("First 5:", subdomains[:5])
EOF

Expected Output:

Found 15+ subdomains
First 5: ['api.github.com', 'www.github.com', 'gist.github.com', ...]

Test 3: DNS Enumerator

python3 << 'EOF'
from tools.recon.dns_enumerator import DNSEnumerator

enumerator = DNSEnumerator({})
records = enumerator.enumerate("github.com")

print("A Records:", records['records']['A'])
print("MX Records:", records['records']['MX'])
print("NS Records:", records['records']['NS'])
EOF

Test 4: LM Studio Integration

# 1. Start LM Studio server
# 2. Load a model (e.g., Llama 3, Mistral, Phi-3)
# 3. Start the server

# 4. Test connection
curl http://localhost:1234/v1/models

# 5. Run NeuroSploit with LM Studio
python neurosploit.py \
  --llm-profile lmstudio_default \
  --agent-role pentest_generalist \
  --input "Explain the OWASP Top 10"

---

🔧 Testing Tool Chaining

Create a test script to see tool chaining in action:

python neurosploit.py -i

Then enter:

run_agent pentest_generalist "Perform complete reconnaissance: DNS enumeration, subdomain discovery, and OSINT collection for example.com"

The AI will automatically chain multiple tools:

1. DNS Enumerator → finds DNS records
2. Subdomain Finder → discovers subdomains
3. OSINT Collector → gathers intelligence

All results are combined and analyzed by the AI.

---

📊 View Results

JSON Results

ls -lt results/
cat results/campaign_*.json | jq '.'

HTML Reports

ls -lt reports/
open reports/report_*.html  # macOS
xdg-open reports/report_*.html  # Linux

---

🛠️ Troubleshooting

Issue: "No module named 'anthropic'"

pip install anthropic openai google-generativeai requests

Issue: LM Studio Connection Error

# Verify LM Studio server is running
curl http://localhost:1234/v1/models

# Check logs in LM Studio console
# Ensure model is loaded and server is started

Issue: "Tool not found"

Edit config/config.json and update tool paths:

{
  "tools": {
    "nmap": "/usr/bin/nmap",
    "metasploit": "/usr/bin/msfconsole"
  }
}

Issue: DNS Enumeration Shows Limited Results

# Install nslookup
# macOS: Already included
# Linux: sudo apt-get install dnsutils

---

🎯 Advanced Examples

Custom Agent Workflow

# 1. Web Application Pentest
python neurosploit.py \
  --agent-role owasp_expert \
  --input "Analyze https://testphp.vulnweb.com for OWASP Top 10 vulnerabilities"

# 2. Network Reconnaissance
python neurosploit.py \
  --agent-role red_team_agent \
  --input "Plan a network penetration test for 192.168.1.0/24"

# 3. Malware Analysis
python neurosploit.py \
  --agent-role malware_analyst \
  --input "Analyze this malware sample: /path/to/sample.exe"

Using Different LLM Profiles

# High-quality reasoning with Claude
python neurosploit.py \
  --llm-profile claude_opus_default \
  --agent-role exploit_expert \
  --input "Generate an exploitation strategy for CVE-2024-XXXX"

# Fast local processing with Ollama
python neurosploit.py \
  --llm-profile ollama_llama3_default \
  --agent-role bug_bounty_hunter \
  --input "Quick scan of example.com"

---

📚 Next Steps

1. Read the Full Documentation: Check README.md
2. Explore Agent Prompts: Look at prompts/md_library/
3. Review Improvements: Read IMPROVEMENTS.md
4. Customize Config: Edit config/config.json
5. Create Custom Agents: Use custom_agents/example_agent.py as template

---

🔐 Important Security Notes

1. Always get authorization before testing systems
2. Use in isolated environments for learning
3. Never test production systems without permission
4. Review all AI-generated commands before execution
5. Keep API keys secure (use environment variables)

---

💡 Pro Tips

1. Interactive Mode is Fastest: Use -i for quick iterations
2. Tool Chaining Saves Time: Let AI orchestrate multiple tools
3. Local LLMs are Free: Use LM Studio or Ollama for unlimited usage
4. Results are Logged: Check results/ and reports/ directories
5. Custom Prompts: Modify prompts/md_library/ for specialized behavior

---

Happy Pentesting! 🎯

For more help: python neurosploit.py --help