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celsolisboa.edu.br

Aug 7, 2026

53,422
Records
2
Files
Aug 7, 2026
Added

Data breach from Centro Universitário Celso Lisboa, a Brazilian higher education institution based in Rio de Janeiro. The archive contains two files: student records (aluno.csv) and employee/staff records (funcionario.csv). Student data includes full names, CPF (Brazilian tax ID), RG (national ID), PIS numbers, hashed passwords (MD5), dates of birth, addresses, contact information, enrollment details, and academic status. Employee data includes full names, CPF, RG, hashed passwords (MD5), job titles, admission dates, addresses, and personnel details.

Data found in this dataset

EmailAddressCityGenderssnfullNamephonedobzipaddress2

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Source files

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celsolisboauniversity__aluno.csv
23 columns51,201 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source columnMapped fieldConfidenceLLM assessment
1ssnhigh[1] header 'rg_aluno' — Brazilian RG national ID number, format matches RG pattern
2ssnhigh[2] header 'cpf_aluno' — Brazilian CPF tax ID, 11-digit numbers matching CPF format
5fullNamehigh[5] header 'nome_aluno' (student name), values are full names in all caps
6genderhigh[6] header 'sexo_aluno' (student sex), values are M/F
9passwordhigh[9] header 'senha_aluno' (student password), values are 32-char MD5 hashes
10phonemedium[10] header 'com_fax_aluno' (work/commercial fax), values are phone numbers like 2125851521
13fullNamehigh[13] header 'nome_mae_aluno' (mother's name), values are full names — PII of associated person
14fullNamehigh[14] header 'nome_pai_aluno' (father's name), values are full names — PII of associated person
25emailhigh[25] header 'res_email_aluno' (residential email), values contain email addresses with @ signs
30dobhigh[30] header 'nascimento_aluno' (birth date), values are YYYY-MM-DD birth dates
44zipmedium[44] header 'com_end_cep_aluno' (commercial address postal code), values are 8-digit Brazilian CEP postal codes
49phonehigh[49] header 'res_celular_aluno' (residential mobile), values are Brazilian mobile numbers
50ziphigh[50] header 'res_end_cep_aluno' (residential CEP), values are 8-digit Brazilian postal codes
55phonehigh[55] header 'com_telefone_aluno' (commercial telephone), values are phone numbers
59phonehigh[59] header 'res_telefone_aluno' (residential telephone), values are phone numbers
66address2medium[66] header 'com_end_bairro_aluno' (commercial address neighborhood/district), values like BENFICA
67cityhigh[67] header 'com_end_cidade_aluno' (commercial address city), values are RIO DE JANEIRO
68address2medium[68] header 'com_end_numero_aluno' (commercial address number), values are street numbers like 321, 416
73address2medium[73] header 'res_end_bairro_aluno' (residential neighborhood), values are district names like CACHAMBI, BENFICA
74cityhigh[74] header 'res_end_cidade_aluno' (residential city), values are RIO DE JANEIRO
98address1high[98] header 'com_end_logradouro_aluno' (commercial street address), values are street names like RUA ANA NERI
100address1high[100] header 'res_end_logradouro_aluno' (residential street address), values are full street names
103emailmedium[103] header 'email_institucional_aluno' (institutional email), mostly NULL in sample but is an email field

Notes: 106 columns total from Brazilian university student records (aluno.csv). Key PII includes CPF (Brazilian tax ID) and RG (national ID) mapped as ssn, MD5-hashed passwords, full names including parents' names, DOB, residential and commercial addresses, phones, and emails. Several address sub-fields (neighborhood, street number) mapped to address2 as they are address components. Columns for enrollment codes, course IDs, academic status flags, timestamps, and internal counters are skipped.

celsolisboauniversity__funcionario.csv
18 columns2,221 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source columnMapped fieldConfidenceLLM assessment
1ssnhigh[1] 'rg_funcionario' — RG is the Brazilian national identity document number, a government-issued personal ID
2ssnhigh[2] 'cpf_funcionario' — CPF is the Brazilian individual taxpayer registry number, equivalent to SSN
4genderhigh[4] 'sexo_funcionario' — values are 'M'/'F', Brazilian Portuguese for sex/gender
5fullNamehigh[5] 'nome_funcionario' — full names in all caps, e.g. 'MAURO SANTORO', 'VICTORIA PALMEIRA PINTO'
8passwordhigh[8] 'senha_funcionario' — 'senha' means password in Portuguese; values are 32-char hex strings (MD5 hashes)
15fullNamemedium[15] 'nome_mae_funcionario' — mother's name; a named individual's PII even if mostly blank in sample
17fullNamemedium[17] 'nome_pai_funcionario' — father's name; a named individual's PII
22emailhigh[22] 'res_email_funcionario' — residential/personal email; values contain @celsolisboa.edu.br addresses
29dobhigh[29] 'nascimento_funcionario' — 'nascimento' means birth in Portuguese; values are YYYY-MM-DD dates of birth
40phonemedium[40] 'res_celular_funcionario' — 'celular' means mobile phone; values include numeric strings like '77251905', '86211784'
47ziphigh[47] 'res_end_cep_funcionario' — 'CEP' is the Brazilian postal code; values are 8-digit codes like '22240006'
56phonehigh[56] 'res_telefone_funcionario' — residential telephone; values include '555-666-0606', '21998023474'
58phonemedium[58] 'res_telefone2_funcionario' — second residential telephone number field
67fullNamemedium[67] 'nome_conjugue_funcionario' — spouse's name; a named individual's PII
68phonemedium[68] 'res_telefone3_funcionario' — third residential telephone number field
70cityhigh[70] 'res_end_cidade_funcionario' — 'cidade' means city; values are 'RIO DE JANEIRO'
72address1high[72] 'res_end_numero_funcionario' — residential address street number; part of physical address
73address2high[73] 'res_end_bairro_funcionario' — 'bairro' means neighborhood/district; secondary address component

Notes: 86 columns total from funcionario.csv (employee records). Brazilian-specific IDs: CPF (taxpayer ID) and RG (national ID) both mapped to ssn as closest equivalent. 'senha' = hashed password (MD5). Admission date (admissao_data) and RG issue date are employment/document dates, not DOB — skipped. Many cpainel_* columns are internal access-control flags — skipped. Mother/father/spouse name fields mapped as fullName since they contain named individuals' PII.