Saturday, December 2, 2023

66 Million Users Personal Data Exposed From Unprotected MongoDB Database

Newly discovered unprotected MongoDB database exposed around 66 Million users records with different chapters and collection of data that looks similar as LinkedIn profiles scraped data.

One of the widely used methods to gather data from the Internet is called web scraping or data scraping. The term refers to the use of a variety of methods for collecting data from the Internet using software that simulates user browsing behavior.

A third party database that exposed this huge record due to lack of authentication in MongoDB and the owner of the database is not identified.

The leaked database contains a person’s full name, personal or professional email, person’s location details, skills, employment history – presumably, all taken from their LinkedIn profile.

Due to the needs of availability of the data we share, store and transmit sensitive data across computer systems is always a problem in terms of security.

This unprotected database could be accessed without authentication that leads to access by one in public even cybercriminals.

There are 3 databases was discovered in different IP’s and the single database alone contain around 48 million records.

Researchers confirm that the exposed data was one of the parts of a previously discovered database of  120 million exposed data.

According to Hacken, What’s interesting is that all these databases did not contain any sensitive personal data such as credit card details or passwords but they did contain a lot of private information like an individual’s professional background, name, phone number, email address, address, and even their IP.

Also all the part of data was uploaded into HaveIBeenPwnd system, where  you can check whether your profile has been scrapped.

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BALAJI is an Ex-Security Researcher (Threat Research Labs) at Comodo Cybersecurity. Editor-in-Chief & Co-Founder - Cyber Security News & GBHackers On Security.

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