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Background for this topic.
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.
Allegedly pilfered database has source code, private keys, staff info, T-Mobile VM logs, more A miscreant claims to have broken into Capgemini and leaked a large amount of sensitive data stolen from the technology services giant – including source code, credentials, and T-Mobile's virtual machine logs.…
Cyber Researcher Reported Findings to Virtual Care Provider; Data Now SecuredAn AI-powered virtual care provider's unsecured database allegedly exposed thousands of sensitive mental health and substance abuse treatment records between patients and their counselors on the internet - where they were available to anyone, said the security researcher who discovered the trove.
AI SPERA announced today that its IP address intelligence engine, Criminal IP, has integrated with IPLocation.io. Learn more from Criminal IP about how this brings additional insights to Criminal IP's threat intelligence database. [...]