Database Forensics and Data Recovery: Transaction Logs, Page Carving & Forensic SQL Auditing

Enterprise databases house an organization's most critical financial ledgers, customer records, proprietary intellectual property, and operational transactions. When insider theft, unauthorized administrative tampering, ransomware extortion, or SQL injection compromises an enterprise database, traditional operating system and network forensics can only paint part of the picture. True resolution requires forensic examiners to dissect raw database storage engines at the byte and data-page levels. This rigorous, lab-driven masterclass equips digital forensic examiners, incident responders, database administrators, and IT auditors with the advanced methodologies required to investigate database security incidents and recover lost or destroyed data. Students explore low-level storage architectures across MySQL (InnoDB), PostgreSQL, Microsoft SQL Server, Oracle, and NoSQL databases (MongoDB, Cassandra). You will learn how database management systems serialize records into binary data pages, organize B+ tree index pages, and maintain transactional integrity through write-ahead logging. Through hands-on forensic workflows, you will parse binary transaction ledgers (WAL, binlogs, and LDF files) to uncover fraudulent UPDATE and DELETE operations, carve orphaned and deleted data records directly from unallocated storage slack space, reconstruct SQL injection attack vectors by correlating web application logs with database execution traces, and analyze volatile database server memory (RAM) dumps. The curriculum culminates in authoring courtroom-admissible, expert-witness reports adhering to Federal Rules of Evidence (FRE 902), ISO/IEC 27037 standards, and forensic chain-of-custody protocols.