Abstract
Modern operating systems and applications demand robust diagnostic solutions for debugging and troubleshooting runtime issues. Memory dumps, snapshots of the system's volatile memory state, provide invaluable insights into application behavior, crashes, and anomalies. However, traditional memory dumping methods often prove cumbersome and inefficient, creating massive dump files that capture the entire contents of the system's RAM. These large files can create storage bottlenecks, impede analysis, and potentially contain sensitive data from unrelated processes. This project introduces a novel memory dump collection and analysis tool designed to address these challenges. Our tool focuses on targeted memory acquisition, allowing users to collect memory dumps based exclusively on specific application or process IDs. This refined approach significantly reduces the size of the resulting dump files, enhancing storage efficiency, streamlining analysis efforts, and minimizing the exposure of sensitive data. Furthermore, to ensure the confidentiality and integrity of the collected memory dumps, the tool integrates the Fernet encryption module. Fernet, a symmetric encryption algorithm, provides robust protection for the dump files during transfer and storage, safeguarding them against unauthorized access or modification. Our project offers distinct advantages over traditional memory analysis tools. By focusing on specific processes, it minimizes resource consumption, reduces the complexity of analysis, and promotes privacy. The integration of encryption further strengthens the security posture of sensitive memory data. This work has the potential to optimize memory diagnostics procedures, benefiting developers, system administrators, and security analysts alike. By providing targeted, encrypted memory dumps, our tool empowers effective debugging, troubleshooting, and forensic investigations within complex software environments.