Course 22 - Digital Forensics: RAM Extraction Fundamentals | Episode 2: Benchmarking Tools and Using MoonSols DumpIt

In this lesson, you’ll learn about:Why Benchmarking RAM Extraction Tools MattersHow benchmarking supports defensible tool selection in forensic investigations.Using measurable metrics to justify decisions during reports or court testimony.Understanding that different systems and environments can affect tool behavior.Key Benchmarking CriteriaRAM Footprint: Measuring how much memory the tool consumes while running and how much evidence it overwrites.Extraction Speed: Evaluating how fast a full memory dump can be completed, especially when using high-speed media like USB 3.0 drives.Execution Context: Distinguishing between kernel-mode and user-mode tools, with kernel-mode execution preferred for bypassing OS-level protections such as anti-debugging and anti-dumping mechanisms.MoonSols DumpIt: Technical EvaluationWhy DumpIt is favored for live response and incident handling.Its portable design, allowing execution directly from removable media without installation.An exceptionally small memory footprint (under 1 MB), minimizing evidentiary impact.Proven efficiency, capable of dumping large memory sizes (e.g., ~9 GB) in a matter of minutes.Automatic output as a raw memory image, simplifying downstream analysis and tool compatibility.Live Benchmarking and VerificationObserving DumpIt in real time using Task Manager to confirm actual memory usage.Correlating observed performance with documented benchmarks.Recognizing the significance of the final success confirmation and proper storage of the raw memory image for triage and analysis.By the end of this episode, you’ll be able to benchmark RAM acquisition tools systematically, understand why DumpIt is often chosen as a primary option, and confidently explain your tool selection based on measurable, repeatable criteria rather than preference alone.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cybercode_academy