Sunday, February 9, 2025
HomeComputer Security66 Million Users Personal Data Exposed From Unprotected MongoDB Database

66 Million Users Personal Data Exposed From Unprotected MongoDB Database

Published on

SIEM as a Service

Follow Us on Google News

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.

You can follow us on Linkedin, Twitter, Facebook for daily Cybersecurity updates also you can take the Best Cybersecurity courses online to keep your self-updated.

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

Latest articles

UK Pressures Apple to Create Global Backdoor To Spy on Encrypted iCloud Access

United Kingdom has reportedly ordered Apple to create a backdoor allowing access to all...

Autonomous LLMs Reshaping Pen Testing: Real-World AD Breaches and the Future of Cybersecurity

Large Language Models (LLMs) are transforming penetration testing (pen testing), leveraging their advanced reasoning...

Securing GAI-Driven Semantic Communications: A Novel Defense Against Backdoor Attacks

Semantic communication systems, powered by Generative AI (GAI), are transforming the way information is...

Cybercriminals Target IIS Servers to Spread BadIIS Malware

A recent wave of cyberattacks has revealed the exploitation of Microsoft Internet Information Services...

Supply Chain Attack Prevention

Free Webinar - Supply Chain Attack Prevention

Recent attacks like Polyfill[.]io show how compromised third-party components become backdoors for hackers. PCI DSS 4.0’s Requirement 6.4.3 mandates stricter browser script controls, while Requirement 12.8 focuses on securing third-party providers.

Join Vivekanand Gopalan (VP of Products – Indusface) and Phani Deepak Akella (VP of Marketing – Indusface) as they break down these compliance requirements and share strategies to protect your applications from supply chain attacks.

Discussion points

Meeting PCI DSS 4.0 mandates.
Blocking malicious components and unauthorized JavaScript execution.
PIdentifying attack surfaces from third-party dependencies.
Preventing man-in-the-browser attacks with proactive monitoring.

More like this

UK Pressures Apple to Create Global Backdoor To Spy on Encrypted iCloud Access

United Kingdom has reportedly ordered Apple to create a backdoor allowing access to all...

Autonomous LLMs Reshaping Pen Testing: Real-World AD Breaches and the Future of Cybersecurity

Large Language Models (LLMs) are transforming penetration testing (pen testing), leveraging their advanced reasoning...

Securing GAI-Driven Semantic Communications: A Novel Defense Against Backdoor Attacks

Semantic communication systems, powered by Generative AI (GAI), are transforming the way information is...