VolDiff
A Python script that uses Volatility to analyze malware memory footprints by comparing Windows memory images before and after infection.
What is VolDiff?
VolDiff is a Python script that automates malware memory footprint analysis using the Volatility framework. It compares Windows memory images captured before and after malware execution to identify system changes and malicious activity, providing detailed reports for forensic investigations.
Digital forensics analysts, incident responders, and malware researchers who need to analyze Windows memory images for signs of infection and understand malware behavior.
Developers choose VolDiff because it automates complex Volatility plugin execution, simplifies comparative memory analysis, and integrates with tools like REMnux, making memory forensics more efficient and accessible.
Overview
VolDiff: Malware Memory Footprint Analysis based on Volatility
Use Cases
Best For
- Analyzing malware memory footprints on Windows 7 systems
- Automating Volatility plugin execution for memory forensics
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