LovelyMem is a visual memory forensics tool designed for quick and efficient digital investigations. It targets forensic analysts and CTF players, simplifying complex memory analysis tasks by integrating multiple powerful tools into a unified, user-friendly interface.

How It Works

LovelyMem leverages MemProcFS for efficient memory acquisition and Volatility 2/3 for in-depth analysis. It provides a graphical interface for configuring these tools, orchestrating custom analysis workflows, and generating reports. The integration aims to streamline the forensic process, offering faster acquisition and analysis compared to standalone tools.

Quick Start & Requirements

• Install: python launcher.py
• Prerequisites: MemProcFS, Volatility 2, Volatility 3, Python 3.10, Python 2.7, GIMP, and other specified tools. Paths must be configured in base_config.yaml or via the GUI.
• Resources: Requires downloading and configuring the paths to the integrated tools.
• Links: Video demonstration: https://www.bilibili.com/video/BV1z912YpECB

Highlighted Details

• Integrates MemProcFS, Volatility 2, and Volatility 3.
• Features a report editor and AI assistant for analysis.
• Supports custom task orchestration and plugin development.
• Offers a graphical interface for configuration.

Maintenance & Community

The project was initially commercial but has been open-sourced. The developer expresses commitment to continued maintenance and welcomes community contributions. A QQ group (668600249) is available for community interaction.

Licensing & Compatibility

The README does not explicitly state a license. Given the project's history and open-sourcing decision, users should verify licensing for commercial or closed-source integration.

Limitations & Caveats

The tool is primarily focused on Windows memory forensics and may not support other operating systems. The setup requires manual configuration of tool paths, which can be complex. The AI assistant's capabilities and integration details are not fully elaborated.