Cloud [NEW 2025] LuxuryEscapes.com – ENTERPRISE SQLi BREACH
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Site: LuxuryEscapes.com
86 Tables | TDE + ML Fraud + Sharding
> FULL SCHEMA DUMPED – 4 SHARDS – 86 TABLES – ZERO DATA LEAKED (yet)
────────────────────────────────────────
DATABASES:
├─ luxury_escapes_auth_shard_01
├─ luxury_escapes_booking_shard_01 ← TARGET
├─ luxury_escapes_analytics_shard_01
└─ information_schema
TABLES (86 total, not all shown):
├─ users, user_profiles, user_addresses
├─ encrypted_passports (TDE varbinary)
├─ encrypted_credit_cards
├─ booking_passengers (passport_number_enc)
├─ payment_transactions (card_last4, fraud_score)
├─ ml_fraud_predictions (AI fraud v3)
├─ trip_pricing_2025_01..03 (partitioned)
├─ gdpr_consents, ccpa_optouts
├─ loyalty_points, promo_usage
└─ cdc_booking_events (event sourcing)
────────────────────────────────────────
SAMPLE COLUMNS (encrypted_passports):
┌─────────────────────┬──────────────────┐
│ Column │ Type │
├─────────────────────┼──────────────────┤
│ passenger_id │ bigint unsigned │
│ passport_number_enc │ varbinary(256) │
│ passport_expiry_enc │ varbinary(256) │
│ iv │ binary(16) │
│ auth_tag │ binary(16) │
│ key_version │ int │
└─────────────────────┴──────────────────┘
SAMPLE COLUMNS (ml_fraud_predictions):
┌─────────────────┬──────────────────┐
│ Column │ Type │
├─────────────────┼──────────────────┤
│ fraud_score │ decimal(5,4) │
│ is_fraud │ boolean │
│ features_vector │ json │
│ confidence │ decimal(5,4) │
│ rule_hits │ json │
└─────────────────┴──────────────────┘
────────────────────────────────────────
WHAT YOU GET:
→ 62K+ elite users
→ Credit card last4 + expiry + fraud_score
→ Full trip history
→ IP + device
→ Loyalty points
→ GDPR consent logs
────────────────────────────────────────
CNTCT ON SESSION: 05f461c78b5e0c600750856dc9735b03bc5792812cc75310893bdaac082585934a
86 Tables | TDE + ML Fraud + Sharding
> FULL SCHEMA DUMPED – 4 SHARDS – 86 TABLES – ZERO DATA LEAKED (yet)
────────────────────────────────────────
DATABASES:
├─ luxury_escapes_auth_shard_01
├─ luxury_escapes_booking_shard_01 ← TARGET
├─ luxury_escapes_analytics_shard_01
└─ information_schema
TABLES (86 total, not all shown):
├─ users, user_profiles, user_addresses
├─ encrypted_passports (TDE varbinary)
├─ encrypted_credit_cards
├─ booking_passengers (passport_number_enc)
├─ payment_transactions (card_last4, fraud_score)
├─ ml_fraud_predictions (AI fraud v3)
├─ trip_pricing_2025_01..03 (partitioned)
├─ gdpr_consents, ccpa_optouts
├─ loyalty_points, promo_usage
└─ cdc_booking_events (event sourcing)
────────────────────────────────────────
SAMPLE COLUMNS (encrypted_passports):
┌─────────────────────┬──────────────────┐
│ Column │ Type │
├─────────────────────┼──────────────────┤
│ passenger_id │ bigint unsigned │
│ passport_number_enc │ varbinary(256) │
│ passport_expiry_enc │ varbinary(256) │
│ iv │ binary(16) │
│ auth_tag │ binary(16) │
│ key_version │ int │
└─────────────────────┴──────────────────┘
SAMPLE COLUMNS (ml_fraud_predictions):
┌─────────────────┬──────────────────┐
│ Column │ Type │
├─────────────────┼──────────────────┤
│ fraud_score │ decimal(5,4) │
│ is_fraud │ boolean │
│ features_vector │ json │
│ confidence │ decimal(5,4) │
│ rule_hits │ json │
└─────────────────┴──────────────────┘
────────────────────────────────────────
WHAT YOU GET:
→ 62K+ elite users
→ Credit card last4 + expiry + fraud_score
→ Full trip history
→ IP + device
→ Loyalty points
→ GDPR consent logs
────────────────────────────────────────
CNTCT ON SESSION: 05f461c78b5e0c600750856dc9735b03bc5792812cc75310893bdaac082585934a
