Brazilian Citizens data base 223 Millions of lines. 2021
by - Thursday, January 1, 1970 at 12:00 AM
awesome
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muito obrigado meu amigo
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Does this database have emails?
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(March 20, 2022, 02:31 PM)HaxonGhost Wrote:
(March 18, 2022, 02:39 PM)NetSec⭐️⭐️⭐️⭐️⭐️ Wrote: Hello, good morning. This is a brazillian data-base with 223 Millions of lines.
Format: txt
fields: CPF|Nome Completo|Sexo / Genero|Data de Nascimento
translate: CPF = SSN, FULL Name, Genre, Birthday date.
Size: 2GB compressed and 13GB Uncompressed

Samples: 


14815757674|Ademar Pacheco Ribeiro Filho|M - Masculino|20/11/1998
14815757755|Kaynan Satiro|M - Masculino|01/03/1992
14815757836|Josephina Dias Cescon|F - Feminino|11/11/1925
14815758484|Joao Vitor Dias Santos|M - Masculino|06/12/2004
14815758646|Beatriz Ferreira Candido|F - Feminino|14/06/1998
14815758727|Marlon Vitor Bento Goncalves|M - Masculino|09/12/1990
14815758808|Tito Elias Berne|M - Masculino|22/05/1940
14815759618|Thais Vasconcelos Silva|F - Feminino|26/12/2005
14815759707|Luiz Fernando de Faria Correa|M - Masculino|13/05/1992
14815759880|Sebastiao Pereira Viana|M - Masculino|14/08/1961
14815760624|Sidney Alves Duarte|M - Masculino|18/08/1999
14815760705|Ernesto Bittencourt Rettich|M - Masculino|27/07/1992
14815760896|Jose Marcos Gomes da Silva|M - Masculino|07/07/1970
14815761000|Alcides Vitorino Coelho|M - Masculino|21/09/1931
14815761272|Edmundo Almeida Leal|M - Masculino|30/05/1958
14815761353|Maria da Conceicao Pereira Machado|F - Feminino|28/04/1947
14815761434|Maria do Carmo Oliveira Silva|F - Feminino|11/10/1940
14815761515|Erivaldo de Almeida Cabral|M - Masculino|16/08/1953
14815761604|Mario Lopes de Siqueira|M - Masculino|01/06/1919



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Brazil population according to google is under 216M, where these remaining 7M came from?  :Dh

lmao
that really makes me laugh


Thanks for sharing!
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Obrigado!
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Excellent!!!!!!!
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Very good
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ty dude
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THANKS
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This is only 1st part of this leak do you have 2nd one ? if yes i want to purchase
here below information have this is main data :

Basic: Name, SSN, sex, DoB, names of parents
Civil status (single, married, etc)
Family ties: Details of immediate (cat. 1) & extended (cat. 2) family
E-mail
Telephone: Area code, number, operator, plan, type of line, date of installation
Address: Full address, including longitude & latitude
Household: SSN of the head of the house, number of members, household income, full address
Level of Education
Students: Uni, course, dates of entry & graduation
Occupation: Role & worker's ID
Employer: Operating name, tax ID, type of contract, date of admission, salary, hours p/week
Salary: Value, type (hourly, monthly, etc), hours p/week
Income: Total monthly income, social class, tax bracket
Social Class: A1, A2, B1, B2, C1, C2, D, E
Buying power: Level (high, medium, low), income, salary
State aid/Benefits: Value, Status (Active/Inactive/Blocked), names & number of dependents, SSN
Voter Registration
Social identifiers: tax numbers, national health IDs, SSNs, worker IDs, etc
Inland Revenue/Taxman registrations
Credit Score: Credit activity, Risk score, Level of risk
Debtors: Name, Type of debtor, Status, Type of debt, Value, Went to court?
Bounced cheques
Data precision: Percentage
Analytical model: Predicted chance of the consumer buying products or services
Photo ID
LinkedIn: ID & URL
Business: Businesses owned, number & percentage of shares held
Public Workers: Descriptions of roles held, net income, type of contract
Consultants: Status, Speciality, Worker's ID
Death: Date of death, age, date of registration, name & address of registry office
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