An open-source memory forensics tool built on Volatility for differential analysis and data reduction in malware investigations.
DAMM is an open-source memory forensics tool built on top of Volatility. It is designed to speed up malware investigations by providing differential analysis capabilities, data reduction, and codified expert knowledge. The tool allows analysts to compare memory snapshots, filter results, and store findings in SQLite databases for efficient triage.
Digital forensics analysts, incident responders, and security researchers who need to analyze memory dumps for malware activity and investigate system compromises.
Developers choose DAMM for its powerful differencing engine, which highlights changes between memory states, and its integrated filtering and warning system that reduces manual effort. It extends Volatility with practical features tailored for real-world malware investigations.
Differential Analysis of Malware in Memory
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Combines ~30 Volatility plugins into ~20 streamlined ones, reducing command overhead and simplifying analysis workflows, as seen in the 'processes' plugin merging pslist, psxview, and others.
Stores plugin results in SQLite databases for cached analysis, enabling instant queries without reprocessing memory images, which speeds up repeated investigations.
Compares two memory snapshots to highlight new or changed objects with customizable unique identifiers, essential for identifying malware-induced changes in before/after infection scenarios.
Flags suspicious behaviors like hidden processes or executions from temp directories, codifying expert knowledge from sources like the Volatility cheat sheet to accelerate triage.
Marked as v1.0 Beta, indicating potential instability, incomplete features, and lack of long-term support or guarantees, which could affect production use.
Relies entirely on the Volatility framework, requiring proper installation, profile setup, and Python environment management, making initial configuration cumbersome for non-experts.
With a command-line interface offering numerous options and the need to understand Volatility concepts, it has a higher barrier to entry compared to more user-friendly forensic tools.