Major DeepSeek Database Leak Discovered By SBComputter

 

DeepSeek Database Leak: A Critical Security Vulnerability

Introduction

A major security vulnerability in DeepSeek’s database was discovered by SBComputer, exposing millions of records, including sensitive data. This discovery, made on January 28, 2025, highlights a critical flaw in data protection that left confidential information publicly accessible.

 

Live Proof of Concept (POC) demonstrating unauthorized access to DeepSeek's exposed database.

 

Uncovering the Vulnerability

During a routine cybersecurity audit, SBComputer identified an exposed ClickHouse database belonging to DeepSeek. The database contained over a million lines of sensitive data, including:

  • AI chat logs & user interactions
  • Internal API keys
  • Backend configurations
  • Other confidential system files

Proof of Concept (POC) Demonstration

After discovering the vulnerability, SBComputer reported it to the DeepSeek Team. Following their internal validation, the team patched the vulnerability on January 29, 2025. After receiving official permission, SBComputer disclosed the issue publicly through a live Proof of Concept (POC) on YouTube on January 30, 2025.


Technical Breakdown of the Issue

  • The ClickHouse database was publicly exposed without authentication or firewall restrictions.
  • Simple queries allowed access to highly sensitive data that should have been encrypted.
  • No rate limiting or security checks prevented unauthorized bulk data access.

DeepSeek database security breach exposing sensitive user data – discovered by SBComputer.

 

Exposed Ports

During the analysis, the following ports were found to be accessible:

Impact of the Leak

This security flaw had the potential to expose:

  • ✅ User privacy violations
  • ✅ Unauthorized API access, leading to misuse or fraud
  • ✅ Intellectual property leakage
  • ✅ Potential legal and compliance issues for DeepSeek

Why This Matters

The discovery raises critical concerns about AI companies’ responsibility in handling user data securely. As AI models are integrated into sensitive applications, data security should be a top priority for companies handling large-scale user-generated content.

Final Thoughts

This incident is a wake-up call for AI and tech companies to prioritize security from the beginning. If sensitive databases are left exposed, it questions security practices even among major AI firms.

For cybersecurity professionals and researchers: Always audit and report vulnerabilities responsibly.
For users: Stay informed and demand transparency from AI service providers regarding data protection.

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Hashtags:

#CyberSecurity #DataLeak #DeepSeek #AIsecurity #SBComputer

 

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