Bureau van Dijk Database - Leaked, Download!
by - Thursday, January 1, 1970 at 12:00 AM
Hello BreachForums Community,
Today I have uploaded the Bureau van Dijk Database for you to download, thanks for reading and enjoy!



In approximately July 2021, the publisher of business information specializing in "private company data" Bureau van Dijk suffered a data breach. The breach included Full names, Email addresses, Phone numbers, Physical addresses, Dates of birth, Job Titles, Unified Social Credit Codes, CNPJ IDs, TIN IDs, SIREN Numbers, SIRECT Numbers, European VAT Numbers, Tax Numbers, Patent Numbers, Patent names, Company names, Website Descriptions and Website Domains. There is 484 Million lines of data, and 27 Million unique email addresses.

Click here to see a sample of each file included.

I would like to warn users this leak is over 426.82GB uncompressed and 48.59GB compressed.

Compromised data: Full names, Email addresses, Phone numbers, Physical addresses, Dates of birth, Unified Social Credit Codes, CNPJ IDs, TIN IDs, Job Titles, SIREN Numbers, SIRECT Numbers, European VAT Numbers, Tax Numbers, Patent Numbers, Patent names, Company names, Website Descriptions, Website Domains
The .7z File's MD5 Hash is 8CFF9563C69ECDEB109EBD29640C1DAA. In total, there are 484305582 records. The file is 426.82GB uncompressed and 48.59GB compressed.
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Finally my man.

Thank you for this. <3

Much appreciate.

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Same as this one? I think I have it from you when RF was on. Thanks!

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Слава кокаїні! Героїні слава!
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fuck not credits
:pomlove: Thank you @FederalAgentBrad for the VIP Rank and Thank you @tty for the GOD Rank.
Thank you @nan9e for the gift >.<
:pomlove:
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(April 19, 2022, 03:16 PM)codmus Wrote: fuck not credits


congratulations on your first post, wow
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(April 19, 2022, 03:07 PM)nimrud Wrote: Same as this one? I think I have it from you when RF was on. Thanks!



yes, that one

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convert it to csv or excel
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thnx for sharing
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Good boy,good work~~~
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Thanks for the share!
Quick question: how do you all index and search huge leaks such as this one? I've got a python script to search for strings in json files but unfortunately it's quite slow for files over 10gb.
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