security-review-construction

Security Review Skill for Construction Systems

This skill ensures all construction software systems follow security best practices, protecting sensitive project data, financial information, and business intelligence.

When to Activate

• Building ERP/BIM system integrations
• Creating construction dashboards
• Handling cost/financial data
• Building document management systems
• Creating APIs for field data collection
• Integrating with external platforms (Procore, PlanGrid, etc.)
• Working with subcontractor/vendor data
• Processing payment applications

Construction-Specific Security Concerns

1. Financial Data Protection

# CRITICAL: Construction financial data security

# ❌ NEVER Do This
project_budget = 15000000  # Hardcoded in source
margin_percentage = 0.18   # Business-sensitive info in code

# ✅ ALWAYS Do This
import os
from cryptography.fernet import Fernet

# Load from secure configuration
project_config = load_secure_config(os.environ['PROJECT_CONFIG_PATH'])

# Encrypt sensitive data at rest
def encrypt_financial_data(data: dict) -> bytes:
    key = os.environ.get('ENCRYPTION_KEY')
    f = Fernet(key)
    return f.encrypt(json.dumps(data).encode())

Financial Data Checklist

• [ ] Cost estimates encrypted at rest
• [ ] Margin/markup data not exposed in logs
• [ ] Payment information tokenized
• [ ] Historical pricing protected from competitors
• [ ] Bid amounts secured until opening

2. BIM/CAD Data Security

# BIM data often contains proprietary design information

# ❌ NEVER store BIM directly in public cloud without encryption
s3.upload_file('model.ifc', bucket='public-bucket')

# ✅ ALWAYS encrypt and control access
def upload_bim_secure(file_path: str, project_id: str):
    # Encrypt file
    encrypted_path = encrypt_file(file_path)

    # Generate pre-signed URL with expiration
    presigned_url = s3.generate_presigned_url(
        'get_object',
        Params={
            'Bucket': 'secure-bim-bucket',
            'Key': f'{project_id}/{os.path.basename(file_path)}'
        },
        ExpiresIn=3600  # 1 hour expiration
    )

    # Log access
    audit_log.info(f"BIM access granted: {project_id}")

    return presigned_url

BIM/CAD Checklist

• [ ] IFC/RVT files encrypted at rest
• [ ] Access logged for audit trail
• [ ] Time-limited download links
• [ ] Version control with access tracking
• [ ] No design data in error messages

3. Subcontractor/Vendor Data

# Subcontractor data includes business-sensitive information

class SubcontractorDataHandler:
    """Secure handling of subcontractor data"""

    # Fields that require encryption
    SENSITIVE_FIELDS = [
        'insurance_policy_number',
        'bank_account',
        'tax_id',
        'bonding_capacity',
        'historical_pricing'
    ]

    def store_subcontractor(self, data: dict) -> str:
        # Encrypt sensitive fields
        for field in self.SENSITIVE_FIELDS:
            if field in data:
                data[field] = self.encrypt(data[field])

        # Store with audit trail
        sub_id = self.db.insert(data)
        self.audit.log(f"Subcontractor created: {sub_id}")

        return sub_id

    def get_subcontractor(self, sub_id: str, requester_id: str) -> dict:
        # Check authorization
        if not self.can_access(requester_id, sub_id):
            raise PermissionError("Unauthorized access to subcontractor data")

        # Log access
        self.audit.log(f"Subcontractor accessed: {sub_id} by {requester_id}")

        # Return with decrypted sensitive fields (only to authorized users)
        return self.decrypt_sensitive_fields(self.db.get(sub_id))

Vendor Data Checklist

• [ ] Insurance/bonding information encrypted
• [ ] Bank details protected (PCI compliance)
• [ ] Tax IDs masked in UI (show last 4 digits only)
• [ ] Pricing history access-controlled
• [ ] Certificate expiration notifications secure

4. Field Data Collection Security

# Mobile/field data collection must be secure

from datetime import datetime, timedelta
import hashlib

class FieldDataCollector:
    """Secure field data collection"""

    def validate_photo_submission(self, photo_data: dict) -> bool:
        # Verify GPS timestamp is recent (within 24 hours)
        photo_time = datetime.fromisoformat(photo_data['timestamp'])
        if datetime.now() - photo_time > timedelta(hours=24):
            raise ValueError("Photo timestamp too old - possible replay attack")

        # Verify file hash matches
        file_hash = hashlib.sha256(photo_data['content']).hexdigest()
        if file_hash != photo_data['declared_hash']:
            raise ValueError("File integrity check failed")

        # Validate GPS coordinates are within project boundary
        if not self.is_within_project_bounds(
            photo_data['lat'],
            photo_data['lon'],
            photo_data['project_id']
        ):
            self.audit.warn(f"Photo from outside project bounds: {photo_data}")

        return True

    def submit_daily_report(self, report: dict, user_id: str) -> str:
        # Verify user is assigned to project
        if not self.is_assigned_to_project(user_id, report['project_id']):
            raise PermissionError("User not assigned to this project")

        # Sign report with user credentials
        report['signature'] = self.sign_report(report, user_id)
        report['submitted_at'] = datetime.now().isoformat()

        return self.db.insert(report)

Field Data Checklist

• [ ] GPS data validated for reasonableness
• [ ] Photo timestamps verified
• [ ] File integrity checks (hashing)
• [ ] User authentication for submissions
• [ ] Offline data sync secured

5. CWICR Database Security

# CWICR contains proprietary cost data

class CWICRAccessControl:
    """Access control for CWICR database"""

    TIERS = {
        'basic': ['public_rates', 'standard_descriptions'],
        'professional': ['regional_rates', 'productivity_factors'],
        'enterprise': ['custom_rates', 'historical_data', 'analytics']
    }

    def search(self, query: str, user_id: str) -> list:
        # Get user tier
        tier = self.get_user_tier(user_id)

        # Limit results based on tier
        allowed_fields = self.TIERS[tier]

        # Execute search with field restrictions
        results = self.vector_search(
            query=query,
            fields=allowed_fields,
            limit=self.get_tier_limit(tier)
        )

        # Log search for analytics
        self.audit.log(f"CWICR search: {user_id}, query='{query[:50]}...'")

        return results

    def export_data(self, user_id: str, format: str) -> bytes:
        # Enterprise only
        if self.get_user_tier(user_id) != 'enterprise':
            raise PermissionError("Export requires enterprise tier")

        # Watermark exported data
        data = self.get_exportable_data(user_id)
        watermarked = self.add_watermark(data, user_id)

        return watermarked

CWICR Checklist

• [ ] Tiered access control implemented
• [ ] API rate limiting per user/tier
• [ ] Data exports watermarked
• [ ] Bulk download restrictions
• [ ] Competitor access monitoring

6. Integration Security (Procore, PlanGrid, etc.)

# Secure OAuth integration with construction platforms

class ConstructionPlatformIntegration:
    """Secure integration with external platforms"""

    def __init__(self, platform: str):
        self.platform = platform
        # Load credentials from secure vault
        self.credentials = self.vault.get(f'{platform}_oauth')

    def authenticate(self) -> str:
        # Use OAuth 2.0 with PKCE
        code_verifier = secrets.token_urlsafe(32)
        code_challenge = base64.urlsafe_b64encode(
            hashlib.sha256(code_verifier.encode()).digest()
        ).decode().rstrip('=')

        # Never store tokens in code or logs
        token = self.oauth_flow(code_verifier, code_ch