7 hours ago
(This post was last modified: 7 hours ago by duckbabe224.)
~ MASSIVE CHINESE DATA COLLECTION LEAK – 50 BILLION+ RECORDS TOTAL (2026) ~
![[Image: tWfjGM0.jpeg]](https://bf.st/img/27d81cbde4dc5d9db1a9947e78cd2664af1d7c75/68747470733a2f2f692e696d6775722e636f6d2f7457666a474d302e6a706567)
https://imgur.com/tWfjGM0
Target: Multiple high-value Chinese platforms & government-linked databases
Collection Overview:
This is a premium curated mega-collection of some of the largest Chinese consumer, citizen, and logistics datasets ever assembled in one place.
Included datasets:
https://imgur.com/tWfjGM0
Target: Multiple high-value Chinese platforms & government-linked databases
Collection Overview:
This is a premium curated mega-collection of some of the largest Chinese consumer, citizen, and logistics datasets ever assembled in one place.
Included datasets:
Quote:- 14.5 Billion Pinduoduo customer records & shopping history (892 GB)
- 10 Billion JD.com Chinese user database (600 GB)
- 8.15 Billion pieces of Chinese e-commerce shopping history (600 GB)
- 4.5 Billion customer records (YTO Express Group + ZTO Express + S.F. Holding logistics) (3.9 TB)
- 1.2 Billion Police Database records (1.2 TB)
- 960 Million Shanghai National Police (SHGA) citizens data (multiple files)
- 960 Million general Citizens Database (890 GB)
- Food Delivery Orders massive dataset (400 GB)
Total Size: ~8–9 TB compressed (individual archives range from 400 GB to 3.9 TB)
About The Collection:
This is not a single breach – it's a powerful aggregation of overlapping and complementary Chinese datasets.
Together they cover:
- Hundreds of millions of real identities
- Detailed e-commerce purchase histories (group buys, flash sales, rural & urban)
- Logistics & delivery patterns (addresses, phone numbers, shipment volumes)
- Food delivery behavior
- Police & citizen registry-level information (especially Shanghai-focused)
Session: 05d381f0905ae4faeefaacdb53dbced8e0a395bbfbc56854703929b00bba015b04
#ChinaDataLeak #MegaCollection #Pinduoduo #JDcom #ExpressLogistics #PoliceData #DataForSale
