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Hackers sell data of 130M Chinese hotel guests on dark web for 8 Bitcoin

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Re: Hackers sell data of 130M Chinese hotel guests on dark web for 8 Bitcoin

#31
post #21

Folks, please remember to PURGE GIT COMMIT HISTORY of the file. It does no good to simply remove a password if it's there in plain (historical) sight. https://help.github.com/articles/removing-sensitive-data-fro...

And obviously rotate the exposed credentials - because even if it was only public for "a while" it could have been viewed by many users.

Plus it could've been archived by another website or a private scraping tool which looks for exactly these sorts of exposures.

Removing it from the git history is almost irrelevant and just stops future people who find it from sniffing around. The crucial part is rotating the credentials and ensuring the credentials aren't used anywhere else.

The second step should be reviewing all logs to ensure no unauthorized logins occurred before the credentials were changed (even if the exposure was only exploitable for a few seconds).

Re: Hackers sell data of 130M Chinese hotel guests on dark web for 8 Bitcoin

#32
post #8

> The company's developers accidentally uploaded the entire database to Github Wait, from what I've heard, the programmer just uploaded a configuration file that contains the password of the database? And oh boy, he's not the only one, Maybe GitHub can do something about it. To the topic: This is the exact reason why I don't support any sort of system that log users personal information without user's control. Becaus…

> he's not the only one.

Too true: https://github.com/search?q=spring.datasource.password%3D123...

Re: Hackers sell data of 130M Chinese hotel guests on dark web for 8 Bitcoin

#33
post #12

Ignoring the moral/ethics concerns, how would a potential buyer know that the data is legit (if it even exists at all?). Give me a couple of days and I'll create a fake -but real looking- set of records with millions of false customers (it would be made real enough by using public information)... If you tell me that they'll provide an extract as "proof", I'll answer: it's easy to cook-up a realistic small sample, jus…

For this particular example, the buyer can simply look himself up in the dataset. LOL. This dataset is the database of the largest hotel brand of China.

I am pretty sure there are entries about me in the database (I am Chinese). It's damn embarrassing, people know me can know who I slept with if he pay 8 bitcoin now. Now I hope the price of bitcoins goes up.

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