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Databases store and organize data electronically, enabling efficient retrieval and management. They often hold sensitive information such as user credentials, financial records, or personal details, making them prime targets for attackers. Common database types include relational databases using structured query language (SQL) and NoSQL databases designed for unstructured data.

Security risks include SQL injection attacks that exploit improper input handling to manipulate or extract data, and misconfigured access controls that allow unauthorized users to view or alter information. Protecting databases involves strict authentication, role-based access controls, encryption of data at rest and in transit, and timely application of security patches to database software. Monitoring query logs and access patterns helps detect suspicious activity that could indicate compromise or insider threats.

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24 Billion Records Left Open Online: Passwords, Emails, and Everything Else Exposed database with 24 Billion records revealed stolen credentials from infostealers, Telegram channels, and breach collections, risking account takeovers. Cybernews researchers found an exposed Elasticsearch cluster on June 12th containing 24 billion records and more than 8.3 terabytes of data. They triple-checked the numbers. […]

Investigators Found Months of Unchecked Database Scraping ActivitySouth Korea's privacy regulator fined Coupang a record 624.7 billion won after concluding that weak authentication controls, insider access abuse, evidence destruction and unauthorized data collection contributed to the exposure of personal information belonging to 33.7 million people.