Fresh breach, September 2026. Complete user master database, never circulated. 1.6 GB compressed / ~10 GB uncompressed (JSONL + SQL).
Headers: USER_ID, EMAIL, PHONE, NAME, NRIC, COUNTRY, GENDER, DOB, PREGNANCY_STATUS, PREGNANCY_WEEK, EDD, DELIVERY_HOSPITAL, BABY_NAME, BABY_DOB, BABY_GENDER, FAMILY_SIZE, HOUSE_HOLD_INCOME, HOUSE_TYPE, HOUSE_OWN_OR_RENT, SES, ADDRESS_LIST
Field coverage:
PHONE - 16,190,429 Lines (74.83%)
EMAIL - 18,903,593 Lines (87.37%)
NAME - 15,208,496 Lines (70.29%)
ADDRESS (street/floor/unit) - 4,488,671 Lines (20.75%)
NRIC (Singapore national ID) - 117,922 Lines
PREGNANCY_STATUS = currently pregnant - 157,052 Lines
SES wealth tier - 333,000+ Lines
List of countries included in the package:
Indonesia (印尼) - 15.2M Lines
Singapore (新加坡) - 4.6M Lines
Malaysia (马来西亚) - 552k Lines
Others - 1.1M Lines
---
## Pregnant users subset — 157,052 Lines
157,052 users are currently pregnant. Each record includes exact gestation week, expected delivery date (EDD), and registered delivery hospital.
First trimester - 29,715 Lines
Second trimester - 8,526 Lines
Third trimester - 7,560 Lines
List of delivery hospitals included in the package:
KK Women's and Children's Hospital - 85,001 Lines
Thomson Medical Centre - 51,478 Lines
National University Hospital - 31,374 Lines
Mount Alvernia Hospital - 29,106 Lines
These are not just hospital names — this is the hospital where each woman is registered to deliver her baby, combined with her phone number, home address, and how many weeks along she is. This subset enables hospital billing fraud, premium baby product scams, and targeted insurance sales — a demographic actively exploited in Southeast Asia. Combined with home address, you know which addresses have a heavily pregnant woman home alone during the day.
---
## NRIC subset — 117,922 Lines
The NRIC is Singapore's lifelong unique national identifier, linked across passports, bank accounts, CPF accounts, and medical records. With NRIC + phone + full name, one can impersonate the individual when calling government hotlines, applying for financial products, or requesting SIM card re-registration.
---
## SES wealth tier subset — 333,000+ Lines
The platform's internal FAMILY enrichment layer — originally sourced from third-party data vendors — contains socioeconomic tier scores, housing type, and ownership status for every user who completed the family profile. This is income and net worth classification, not self-reported preferences.
SES wealth tier breakdown (monthly household income):
Tier A — Premium (SGD 10,000+/month) - 63k Lines
Tier B — Upper-Middle (SGD 6,000-10,000) - 109k Lines
Tier C — Middle (SGD 3,000-6,000) - 145k Lines
Tier D — Lower-Middle (below SGD 3,000) - 16k Lines
Housing type included in the package:
HDB (Singapore public housing) - 256k Lines
Private Condominium - 46k Lines
Landed Property (detached/semi-detached houses — the highest-value property class in SG) - 18k Lines
Executive Condominium - 16k Lines
Rental - 6k Lines
This enables precision wealth targeting: Tier A users with Landed property are high-net-worth fraud targets (bank impersonation, investment scams, luxury goods fraud). Combined with NRIC and home address, this constitutes a complete profile for financial identity theft. Tier D users represent a different attack surface — employment fraud, loan scams, government subsidy impersonation. Rental-tier users are prime targets for landlord impersonation attacks, increasingly common in Singapore's property market.
Cross-referencing SES tier with pregnancy status isolates premium-tier expectant mothers — the single most valuable demographic combination in this package.
---
## Home address subset — 4,488,671 Lines
Full home addresses down to street, floor, and unit number. Example: `Block 530C Pasir Ris Drive 1 #07-386`
---
## Children's profiles
Infant names, dates of birth, gender — linked to the mother's full contact record.
---
## Bonus: internal CDP vendor tables
User stitching, phone mapping, and email binding tables included. The value lies not in the data itself, but in what they expose: the platform's internal data architecture and third-party vendor relationships.
---
## Market reference
Contact: TG @ahswd1 / [email protected]
Price is 50000$ not negotiable.
**XMR OR BTC ONLY.**
**ONLY BREACHFORUMS ESCROW ACCEPTED.**
**example:https://qu.ax/x/JKIp4.zip
Headers: USER_ID, EMAIL, PHONE, NAME, NRIC, COUNTRY, GENDER, DOB, PREGNANCY_STATUS, PREGNANCY_WEEK, EDD, DELIVERY_HOSPITAL, BABY_NAME, BABY_DOB, BABY_GENDER, FAMILY_SIZE, HOUSE_HOLD_INCOME, HOUSE_TYPE, HOUSE_OWN_OR_RENT, SES, ADDRESS_LIST
Field coverage:
PHONE - 16,190,429 Lines (74.83%)
EMAIL - 18,903,593 Lines (87.37%)
NAME - 15,208,496 Lines (70.29%)
ADDRESS (street/floor/unit) - 4,488,671 Lines (20.75%)
NRIC (Singapore national ID) - 117,922 Lines
PREGNANCY_STATUS = currently pregnant - 157,052 Lines
SES wealth tier - 333,000+ Lines
List of countries included in the package:
Indonesia (印尼) - 15.2M Lines
Singapore (新加坡) - 4.6M Lines
Malaysia (马来西亚) - 552k Lines
Others - 1.1M Lines
---
## Pregnant users subset — 157,052 Lines
157,052 users are currently pregnant. Each record includes exact gestation week, expected delivery date (EDD), and registered delivery hospital.
First trimester - 29,715 Lines
Second trimester - 8,526 Lines
Third trimester - 7,560 Lines
List of delivery hospitals included in the package:
KK Women's and Children's Hospital - 85,001 Lines
Thomson Medical Centre - 51,478 Lines
National University Hospital - 31,374 Lines
Mount Alvernia Hospital - 29,106 Lines
These are not just hospital names — this is the hospital where each woman is registered to deliver her baby, combined with her phone number, home address, and how many weeks along she is. This subset enables hospital billing fraud, premium baby product scams, and targeted insurance sales — a demographic actively exploited in Southeast Asia. Combined with home address, you know which addresses have a heavily pregnant woman home alone during the day.
---
## NRIC subset — 117,922 Lines
The NRIC is Singapore's lifelong unique national identifier, linked across passports, bank accounts, CPF accounts, and medical records. With NRIC + phone + full name, one can impersonate the individual when calling government hotlines, applying for financial products, or requesting SIM card re-registration.
---
## SES wealth tier subset — 333,000+ Lines
The platform's internal FAMILY enrichment layer — originally sourced from third-party data vendors — contains socioeconomic tier scores, housing type, and ownership status for every user who completed the family profile. This is income and net worth classification, not self-reported preferences.
SES wealth tier breakdown (monthly household income):
Tier A — Premium (SGD 10,000+/month) - 63k Lines
Tier B — Upper-Middle (SGD 6,000-10,000) - 109k Lines
Tier C — Middle (SGD 3,000-6,000) - 145k Lines
Tier D — Lower-Middle (below SGD 3,000) - 16k Lines
Housing type included in the package:
HDB (Singapore public housing) - 256k Lines
Private Condominium - 46k Lines
Landed Property (detached/semi-detached houses — the highest-value property class in SG) - 18k Lines
Executive Condominium - 16k Lines
Rental - 6k Lines
This enables precision wealth targeting: Tier A users with Landed property are high-net-worth fraud targets (bank impersonation, investment scams, luxury goods fraud). Combined with NRIC and home address, this constitutes a complete profile for financial identity theft. Tier D users represent a different attack surface — employment fraud, loan scams, government subsidy impersonation. Rental-tier users are prime targets for landlord impersonation attacks, increasingly common in Singapore's property market.
Cross-referencing SES tier with pregnancy status isolates premium-tier expectant mothers — the single most valuable demographic combination in this package.
---
## Home address subset — 4,488,671 Lines
Full home addresses down to street, floor, and unit number. Example: `Block 530C Pasir Ris Drive 1 #07-386`
---
## Children's profiles
Infant names, dates of birth, gender — linked to the mother's full contact record.
---
## Bonus: internal CDP vendor tables
User stitching, phone mapping, and email binding tables included. The value lies not in the data itself, but in what they expose: the platform's internal data architecture and third-party vendor relationships.
---
## Market reference
Contact: TG @ahswd1 / [email protected]
Price is 50000$ not negotiable.
**XMR OR BTC ONLY.**
**ONLY BREACHFORUMS ESCROW ACCEPTED.**
**example:https://qu.ax/x/JKIp4.zip
