NeuralForge is built with a security-first mindset:

• 100% Local Execution: No code ever leaves your machine
• Zero Telemetry: No usage data collection
• Sandboxed Models: AI models run in restricted environments
• Verified Adapters: Cryptographic signatures for community content
• Open Source: Full code transparency for security audits

We provide security updates for the following versions:

DO NOT create public GitHub issues for security vulnerabilities!

Instead, please report them via:

1. Email: security@neuralforge.dev
2. Encrypted Email: Use our PGP key (see below)
3. GitHub Security Advisories: Private reporting

Please provide:

• Description of the vulnerability
• Steps to reproduce
• Potential impact assessment
• Suggested fix (if any)
• Your contact information

• Initial Response: Within 24 hours
• Status Update: Within 72 hours
• Fix Timeline: Based on severity (see below)
• Public Disclosure: Coordinated after fix

All AI models run in restricted environments:

// Models cannot:
- Access file system (except model directory)
- Make network connections
- Execute system commands
- Access environment variables
- Read process memory
- Spawn new processes

Community adapters undergo verification:

# Signature verification
neuralforge verify-adapter my-adapter.lora

# Checks performed:
✓ Cryptographic signature valid
✓ No malicious patterns detected
✓ Size within limits
✓ Structure validated
✓ Sandbox test passed

All user inputs are sanitized:

public class InputSanitizer {
    // Prevent injection attacks
    - SQL injection prevention
    - Command injection blocking
    - Path traversal protection
    - XXE attack prevention
    - SSRF protection
}

Internal IPC uses secure channels:

IPC Security:
├── Named pipes (not network sockets)
├── Process isolation
├── Message authentication
├── No external network access
└── Encrypted sensitive data

1. Keep Updated

# Check for security updates
neuralforge --check-updates

# Update to latest version
neuralforge --update

2. Verify Downloads

# Verify installer checksum
sha256sum neuralforge-installer.exe
# Compare with official checksum

3. Adapter Safety

# Only install verified adapters
neuralforge install-adapter --verified-only

# Check adapter source
neuralforge info adapter-name

4. Workspace Isolation

# Use separate workspaces for sensitive projects
neuralforge --workspace ~/secure-project

1. Secure Coding

// Always validate inputs
public void processCode(String code) {
    validateInput(code);  // Never skip!
    sanitizeCode(code);
    // ... process
}

2. Dependency Management

# Regular dependency audits
npm audit
./gradlew dependencyCheckAnalyze

# Update vulnerable dependencies immediately
npm audit fix

3. Secrets Management

NEVER commit:
├── API keys
├── Passwords
├── Private keys
├── Personal data
└── Proprietary code

4. Testing Security

# Run security tests
npm run test:security
./gradlew securityTest

# Penetration testing
npm run pentest

graph TD
    A[User Input] -->|Sanitized| B[Editor]
    B -->|IPC| C[Backend]
    C -->|Sandboxed| D[AI Models]
    
    E[Adapter] -->|Verified| C
    F[File System] -->|Restricted Access| C
    G[Network] -->|Blocked| D
    
    H[Attacker] -.->|Blocked| A
    H -.->|Blocked| E
    H -.->|Blocked| G

1. Process Isolation

   • Editor process (Electron)
   • Backend process (Java)
   • Model inference (Sandboxed)

2. File System Restrictions

Allowed Paths:
├── ~/workspace (read/write)
├── ~/.neuralforge/config (read/write)
├── ~/.neuralforge/adapters (read only)
└── /app/models (read only)

Blocked Paths:
├── System directories
├── Other user directories
├── Network mounts
└── Sensitive locations

3. Network Isolation

Network Access:
├── Editor → Backend: Local IPC only
├── Backend → Models: In-process only
├── Models → External: BLOCKED
└── Adapter Download: Verified HTTPS only

1. Electron Security

   • Based on Chromium (inherits its vulnerabilities)
   • Mitigation: Regular Electron updates

2. Java Dependencies

   • Third-party libraries may have vulnerabilities
   • Mitigation: Automated dependency scanning

3. Model Security

   • Models could theoretically memorize training data
   • Mitigation: Only train on public, licensed code

• Physical access to machine
• Compromised operating system
• Malicious user with legitimate access
• Side-channel attacks (timing, power)
• Advanced persistent threats (APTs)

• All dependencies updated
• Security scan passed
• No sensitive data in code
• Sandbox tests passed
• Input validation complete
• Error messages sanitized
• Logs don't leak information
• Cryptographic signatures updated

• No proprietary code used
• No hardcoded secrets
• Dataset properly licensed
• Verification signature included
• Size under 100MB limit
• Documentation included
• No personal data exposed
• Security scan passed

• Frequency: Quarterly
• Scope: Full codebase
• Tools: OWASP dependency check, SonarQube, CodeQL

• Frequency: Annually
• Scope: Critical components
• Reports: Published publicly

Coming soon! We plan to launch a bug bounty program for security researchers.

• Email: security@neuralforge.dev
• PGP Key: Download
• Response Time: 24 hours for critical issues

1234 5678 90AB CDEF 1234 5678 90AB CDEF 1234 5678

We thank the following security researchers for responsibly disclosing vulnerabilities:

• OWASP Top 10
• CWE/SANS Top 25
• Secure Coding Guidelines

• Static Analysis: SonarQube, CodeQL
• Dependency Scanning: OWASP Dependency Check
• Runtime Protection: Java Security Manager
• Sandboxing: System.SecurityManager + Custom Policies

We believe in responsible disclosure and will:

1. Work with researchers to understand issues
2. Provide credit (unless anonymity requested)
3. Fix vulnerabilities promptly
4. Coordinate disclosure timing
5. Never pursue legal action against good-faith researchers

We consider security research authorized if you:

• Make good faith effort to avoid harm
• Only test against your own instances
• Don't access others' data
• Report findings promptly
• Give us reasonable time to fix

We won't pursue legal action if these guidelines are followed.

This security policy may be updated. Major changes will be announced via:

• GitHub releases
• Discord announcement
• Security mailing list

Last Updated: October 2024

Security is everyone's responsibility. Thank you for helping keep NeuralForge safe for all users.