DumpsterDiver is a data analysis tool designed to identify hardcoded secrets and sensitive information within large datasets. The tool searches for various types of credentials including AWS Access Keys, Azure Share Keys, SSH keys, and passwords that may be inadvertently embedded in files or code repositories. The tool utilizes Shannon Entropy calculations to detect private keys and implements customizable search rules that allow users to define specific conditions for reporting findings. It can process compressed archives such as zip and tar.gz files, automatically unpacking them for analysis. DumpsterDiver includes functionality to examine git logs for historical secret exposure and supports advanced search capabilities through user-defined rules. The tool can identify patterns such as files containing specific numbers of email addresses or other data types based on configured parameters. The system is designed to be fully customizable, allowing security professionals to adapt search criteria to their specific organizational needs and compliance requirements. It processes various file formats and can handle large volumes of data efficiently during secret detection operations.