Experts found an unsecured 16TB database containing 4.3B professional records

Security Affairs

December 14, 2025 at 8:56 AM

Overview

A significant security oversight was uncovered when researchers found an unsecured 16TB MongoDB database that exposed approximately 4.3 billion professional records. This database primarily contained LinkedIn-style data, which could be exploited for large-scale AI-driven social engineering attacks. The discovery was made by Bob Diachenko and nexos.ai on November 23, 2025, and the database was secured only after the researchers alerted its owner. This incident underscores the risks associated with unsecured databases, as the exposed data could facilitate identity theft and phishing schemes targeting professionals. Organizations need to ensure better security measures for their data to prevent such breaches in the future.

Key Takeaways

Affected Systems: Unsecured MongoDB database, professional records, LinkedIn-style data
Action Required: Database secured after researcher notification; organizations should implement strict access controls and regular security audits.
Timeline: Disclosed on November 23, 2025

Original Article Summary

An open 16TB database exposed 4.3B professional records. It was unsecured and only closed after researchers alerted the owner. A 16TB unsecured MongoDB database exposed about 4.3 billion professional records, mainly LinkedIn-style data, enabling large-scale AI-driven social-engineering attacks. The researcher Bob Diachenko and nexos.ai discovered the unsecured DB on November 23, 2025, and it was […]

Impact

Unsecured MongoDB database, professional records, LinkedIn-style data

Exploitation Status

No active exploitation has been reported at this time. However, organizations should still apply patches promptly as proof-of-concept code may exist.

Timeline

Disclosed on November 23, 2025

Remediation

Database secured after researcher notification; organizations should implement strict access controls and regular security audits.

Additional Information

This threat intelligence is aggregated from trusted cybersecurity sources. For the most up-to-date information, technical details, and official vendor guidance, please refer to the original article linked below.

Related Topics: This incident relates to Phishing, Data Breach, LinkedIn, and 1 more.

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