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🔍 3 Million Databases Later: Mapping Internet Exposure with Netlas

A data-driven investigation of 3.2 million internet-facing databases — MySQL, MongoDB, PostgreSQL, MSSQL, Oracle, and Elasticsearch — revealing how exposed they really are, which controls fail most often, and where the global weak spots hide.

What you’ll learn in 20 minutes:
🧩 How Netlas scans were used to get millions of database banners and metadata worldwide.
⚙️ The pipeline behind the study — from raw banners to per-service risk scoring and global aggregation.
📊 Who’s most exposed: MySQL leads with 2.53 M instances, MongoDB still leaks metadata, PostgreSQL flunks TLS at scale.
🪜 Practical remediation steps — per-service hardening tips and global trends that shape today’s attack surface.

For security engineers, analysts, and anyone mapping the exposed-data landscape — this is a rare, quantified look at how misconfiguration still fuels risk in 2025, written by a cool researcher in collaboration with Netlas.

👉 Read the full research: https://netlas.io/blog/exposed_databases/
netlas.io I Analysed Over 3 Million Exposed Databases Using Netlas - Netlas Blog Analysing 3.2M exposed databases with Netlas to reveal global risks, failed controls, and exposure trends across major DB systems
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