[hellopppp]

~ 大规模中国数据收集泄露——总计500亿条+记录（2026年）~


https://imgur.com/tWfjGM0

目标：多个高价值中国平台及政府关联数据库


收集概述：
这是一个高端策划的超级收藏，汇集了有史以来最大规模的中国消费者、公民和物流数据集。


包含的数据集：

- 145亿拼多客户记录与购物历史（892 GB）
- 100亿 JD.com 中国用户数据库（600 GB）
- 81.5亿条中国电商购物历史（600 GB）
- 45亿客户记录（YTO Express Group + ZTO Express + S.F. Holding Logistics）（39 TB）
- 12亿警察数据库记录（12 TB）
- 9.6亿上海国家警察（SHGA）公民数据（多档）
- 9.6亿通用公民数据库（890 GB）
- 食品配送订单庞大数据集（400 GB）总
容量：压缩后~8–9 TB（单个档案范围为400 GB至3.9 TB）

[font]关于The Collection：
这不是单一的泄露——而是重叠且互补的中国数据集的强大聚合。
它们涵盖：
- 数亿真实身份
- 详细的电商购买历史（团购、闪购、乡村与城市）
- 物流与配送模式（地址、电话号码、发货量）
- 食品配送行为
- 警方和公民登记级别信息（尤其是上海相关）






会议时间：05d381f0905ae4faeefaacdb53dbced8e0a395bbfbc56854703929b00bba015b04

#ChinaDataLeak #MegaCollection #Pinduoduo #JDcom #ExpressLogistics #PoliceData #DataForSale[/font]

[font]该死的样本！[/font]

[IPAddress]

Appreciate the information provided here.

[xijinping_77]

~ MASSIVE CHINESE DATA COLLECTION LEAK – 50 BILLION+ RECORDS TOTAL (2026) ~


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:

- 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

Fantastic