NaviDuck is a CLI browser designed with security in mind. This document outlines security considerations, vulnerability reporting, and best practices for secure usage.

DO NOT create public GitHub issues for security vulnerabilities.

Instead, please report security issues to: dapower@mailfence.com

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

• Initial response: Within 48 hours
• Update timeline: Within 7 days
• Fix implementation: Depends on severity (1-30 days)

• HTTPS enforcement where possible
• Certificate verification enabled by default
• Tor support for anonymous browsing (optional)
• Proxy configuration through environment variables

• Local storage in ~/.naviduck_data.json (plain text)
• No cloud sync or remote data storage
• History/bookmarks stored locally only
• Automatic clearing options available

• No built-in authentication for websites
• Cookies stored by requests session (in memory)
• Session-based - no persistent login storage

# User data stored in:
~/.naviduck_data.json  # History, bookmarks
~/.naviduck_config.json # Configuration

Risk: These files are not encrypted. Anyone with file access can read your browsing history.

• NaviDuck runs with the same permissions as your user account
• Downloaded content is not isolated
• Script execution from web content is parsed but not executed

• Regex-based parsing may miss malicious content
• No content security policy (CSP) enforcement
• Limited protection against XSS in displayed content

• User-Agent is visible to websites
• No built-in VPN or encryption beyond HTTPS
• Tor integration requires separate Tor installation

1. Use Tor for sensitive browsing:

# In NaviDuck
tor start

2. Regularly clear history:

# In settings menu
settings → Clear history

3. Keep Python updated:

python --version  # Ensure 3.8+

4. Use separate user accounts for different browsing contexts

1. Input validation:

# Always validate URLs
def validate_url(url):
    if not url.startswith(('http://', 'https://')):
        raise ValueError("Invalid URL scheme")

2. Escape user input in regex patterns:

# Use re.escape for dynamic patterns
pattern = re.escape(user_input) + r'\s+'

3. Limit resource usage:

# Set timeouts for network requests
response = self.session.get(url, timeout=10)

# Run security linter
pip install bandit
bandit -r naviduck.py

# Check dependencies
pip install safety
safety check

• Test URL validation
• Verify Tor integration
• Check file permission settings
• Test memory usage limits
• Verify error handling doesn't leak info

1. Trusted execution environment (user's machine)
2. No multi-user isolation needed
3. Network is potentially hostile
4. Filesystem is relatively safe

1. Monitor CVE databases and Python security announcements
2. Assess impact on NaviDuck
3. Patch vulnerabilities promptly
4. Notify users of security updates

• GitHub Releases: Security patches
• Git Tags: Versioned releases
• README.md: Security notices

• Tor integration for anonymous browsing
• HTTPS enforcement preference
• Input sanitization for URLs
• Timeout handling for network requests
• Memory limits on page loading

• Encrypted local storage (AES-256)
• Content Security Policy simulation
• Malicious URL database integration
• Certificate pinning for critical sites
• Privacy-enhanced user agent rotation

NaviDuck must not be used for:

• Unauthorized access to computer systems
• Harassment or stalking
• Illegal content distribution
• Denial of service attacks
• Data scraping without permission

Users are responsible for:

• Complying with local laws
• Respecting website terms of service
• Obtaining necessary permissions
• Protecting others' privacy

• All data stays on user's machine
• No international data transfers
• Compliance with local privacy laws (GDPR, CCPA, etc.)

• No encryption beyond standard HTTPS
• Tor usage may be restricted in some jurisdictions

# Check these areas regularly:
1. Network request handling ✓
2. File I/O operations ✓  
3. User input validation ✓
4. Memory management ✓
5. Error handling ✓
6. Dependency security ✓

• Currently: Self-audited
• Planned: Community security review
• Future: Professional audit for v2.0+

• Primary: DAPOWER99 (GitHub)
• Email: dapower@mailfence.com
• Response Time: 24-48 hours for critical issues

1. Email security report
2. GitHub security advisory (private)
3. Public disclosure after fix

This document is updated when:

• New vulnerabilities are discovered
• Security features are added
• Best practices change
• At least once per quarter

Last Updated: 2024 Security Version: 1.0 Next Review: Q1 2025

Remember: Security is a shared responsibility. If you see something, say something. Report security concerns promptly and help keep NaviDuck safe for everyone. 🛡️