This investigation repository includes comprehensive security features to protect the creator's identity and keep findings sealed until authorized release.

1. ❌ NEVER commit with your real name or email
2. ❌ NEVER access the repository from work/school networks
3. ❌ NEVER link this repository to personal GitHub accounts
4. ❌ NEVER share investigation details on personal social media
5. ❌ NEVER meet contacts without security precautions
6. ❌ NEVER use personal devices for investigation work
7. ❌ NEVER store unencrypted investigation data
8. ❌ NEVER discuss investigation on monitored channels

1. ✅ ALWAYS use VPN or Tor when working on the investigation
2. ✅ ALWAYS use the anonymous git configuration provided
3. ✅ ALWAYS review all commits for identifying information before pushing
4. ✅ ALWAYS keep investigation files encrypted at rest
5. ✅ ALWAYS use secure, ephemeral messaging for communications
6. ✅ ALWAYS have emergency backup plans and contacts
7. ✅ ALWAYS maintain separation from personal accounts
8. ✅ ALWAYS rotate anonymous identifiers regularly

The system generates a safe git configuration. Use it:

# Generate safe git config
python3 identity_protection.py

# This creates: data/secure/safe_git_config.txt
# Apply it to your git config

Example safe configuration:

[user]
    name = Anonymous Investigator
    email = anonymous@investigation.local

ALL investigation data is automatically sealed until release:

• Findings sealed immediately upon discovery
• Evidence encrypted with integrity checks
• Connections protected until authorized disclosure
• Criminal activity tracking kept confidential

Data can ONLY be released when ALL of these criteria are met:

1. ✅ Investigation ≥ 95% complete
2. ✅ Evidence verified
3. ✅ Legal review completed
4. ✅ Safety assessment passed
5. ✅ Creator consent obtained

Different sensitivity levels are disclosed at different completion thresholds:

Items are categorized by sensitivity:

• Level 1 (Low): Can disclose at 50% completion
• Level 2 (Medium-Low): Can disclose at 75% completion
• Level 3 (Medium): Can disclose at 90% completion
• Level 4 (High): Can disclose at 95% completion
• Level 5 (Critical): Only at 100% completion

The system tracks potential criminal activities:

1. Trafficking
2. Financial Crime
3. Conspiracy
4. Obstruction of Justice
5. Corruption
6. Organized Crime
7. Money Laundering
8. Fraud
9. Sexual Exploitation
10. Witness Tampering
11. Evidence Destruction
12. Other

• Severity Levels: 1-5 (5 being most severe)
• Confidence Scores: 0.0-1.0
• Entity Involvement: Track who is involved
• Evidence Linking: Connect to supporting evidence
• Pattern Analysis: Identify recurring patterns
• Status Tracking: Monitor investigation progress

The system identifies and tracks secret organizations:

• Secret societies
• Criminal organizations
• Networks
• Cells
• Fronts

• Membership rosters
• Activity linking
• Network analysis
• Hierarchy mapping
• Communication patterns

• Anonymous identifiers (ANON_XXXXXX)
• PII sanitization
• Safe git configuration
• Anonymous contributions
• Secure work environment
• 10+ security recommendations

• Fernet/AES-128 encryption
• 5 security levels (PUBLIC to TOP_SECRET)
• Access control and logging
• Integrity verification (SHA-256)
• Secure storage

• Investigation sealing
• Release authorization
• Progressive disclosure
• Safety assessment
• Multi-criteria checks

from identity_protection import CreatorIdentityProtection

protection = CreatorIdentityProtection()

# Get safe attribution for commits
attribution = protection.get_safe_attribution()
print(f"Name: {attribution['name']}")
print(f"Email: {attribution['email']}")

# Sanitize any metadata
metadata = {'name': 'Real Name', 'project': 'Investigation'}
safe_metadata = protection.sanitize_metadata(metadata)
# {'name': '[REDACTED]', 'project': 'Investigation'}

from security_system import CriminalActivityTracker

tracker = CriminalActivityTracker()

# Record criminal activity
activity_id = tracker.add_activity(
    activity_type='trafficking',
    description='Suspected trafficking network',
    entities_involved=['Entity A', 'Entity B'],
    evidence_ids=['EV001', 'EV002'],
    severity=5,  # 1-5
    confidence=0.8  # 0.0-1.0
)

# Analyze patterns
analysis = tracker.analyze_patterns()
print(f"Total activities: {analysis['total_activities']}")
print(f"High severity: {analysis['high_severity']}")

from release_control import InvestigationReleaseManager

manager = InvestigationReleaseManager()

# Seal data
manager.seal_data('FINDING_001', {'data': 'sensitive'}, 'finding')

# Update progress
manager.update_completion(0.50)  # 50% complete

# Try to release (will be denied if not ready)
data = manager.release_item('FINDING_001', authorized=True)
# Returns None if not authorized to release

# When ready (95%+ complete, all criteria met)
manager.update_completion(0.95)
manager.release_criteria['evidence_verified'] = True
manager.release_criteria['legal_review'] = True
manager.release_criteria['safety_assessment'] = True
manager.release_criteria['creator_consent'] = True

# Authorize release
manager.authorize_release('ANON_CREATOR_ID', 'full')

# Now can release
data = manager.release_item('FINDING_001', authorized=True)

Before releasing ANY investigation data:

• Investigation ≥ 95% complete
• All evidence verified and sourced
• Legal review completed by counsel
• Safety assessment passed
• Creator identity fully protected
• No active threats to creator
• Secure communication channels established
• Backup copies secured off-site
• Emergency contacts notified
• Legal representation confirmed
• Creator explicitly consents to release

1. Immediately stop all investigation work
2. Secure all investigation files (encrypt, backup)
3. Contact legal representation
4. Contact emergency contacts
5. Do not attempt to continue investigation
6. Seek professional security advice

1. Remain calm - do not panic
2. Do not confirm or deny anything
3. Contact legal representation immediately
4. Secure all data - ensure everything is encrypted
5. Follow legal advice only

Maintain a list of:

• Legal representation (lawyer familiar with whistleblower protection)
• Trusted security professionals
• Journalists (for dead man's switch)
• Law enforcement contacts (if appropriate)

Run the comprehensive security test suite:

python3 test_security.py

This tests:

• Creator identity protection
• Anonymous contributions
• Data anonymization
• Release control
• Progressive disclosure
• Safe git configuration
• Secure work environment
• Safety assessment

1. Tails OS: Live operating system for maximum anonymity
2. Tor Browser: Anonymous web browsing
3. VPN: Commercial VPN service (not free ones)
4. Signal: Encrypted messaging
5. VeraCrypt: Full disk encryption
6. KeePassXC: Password manager
7. OnionShare: Secure file sharing

1. Compartmentalization: Keep investigation completely separate
2. Defense in Depth: Multiple layers of security
3. Operational Security: Consistent security practices
4. Need to Know: Limit who knows about investigation
5. Document Everything: But keep it secure
6. Regular Audits: Review security practices regularly

For security concerns or questions:

• Do NOT use personal email
• Do NOT use monitored channels
• Use secure, anonymous communication only
• Consider using whistleblower platforms

This investigation repository is for lawful investigative purposes only. Users are responsible for:

• Complying with all applicable laws
• Protecting their own safety and security
• Verifying all information before publication
• Consulting legal counsel before public disclosure
• Understanding potential risks and consequences

⚠️ YOUR SAFETY COMES FIRST

If at any point you feel unsafe or threatened:

1. Stop the investigation
2. Secure all data
3. Seek professional help
4. Do not take unnecessary risks

🛡️ STAY ANONYMOUS, STAY SAFE, UNCOVER THE TRUTH

This security guide is updated regularly. Last update: 2026-02-14