Volatility 3

Volatility 3 is the reference open-source memory forensics framework for analyzing RAM captures to uncover hidden processes, injected code, network connections, and malware artifacts on compromised systems.

Digital Forensics open-source memory-forensics incident-response malware-analysis

Overview

Volatility 3 is a free and open-source memory forensics framework maintained by the Volatility Foundation. It analyzes memory dumps (RAM captures) from Windows, Linux, and macOS systems to reconstruct system state at the time of capture, exposing running processes, loaded kernel modules, open network connections, registry hives, cached credentials, and injected code. Volatility 3 is a complete rewrite of the original Volatility 2 with a Python 3 codebase, automatic symbol table resolution, and a plugin-based architecture. It is a standard tool in incident response, malware analysis, and digital forensics workflows, and it integrates with acquisition tools such as WinPmem, LiME, and AVML for live memory capture.

Primary Use Cases

✔ Analyzing memory dumps from compromised Windows, Linux, or macOS systems to identify hidden processes, injected code, and active malware during incident response.

✔ Reconstructing attacker activity by extracting running processes, network connections, loaded kernel modules, and command-line history from a captured memory image.

✔ Recovering credentials, registry hives, and cached artifacts from memory that are not available on disk, supporting both IR and malware analysis investigations.

Frequently Asked Questions

Yes. Volatility 3 is released under the Volatility Software License (VSL), which allows free use for personal, academic, and internal business purposes. It is maintained by the Volatility Foundation, a non-profit organization.

Volatility 3 is a complete rewrite of Volatility 2 in Python 3 with a new plugin architecture, automatic symbol table resolution, and a unified codebase for Windows, Linux, and macOS. It removes the dependency on manually supplied profiles and improves performance and extensibility. Volatility 2 is legacy and no longer actively maintained.

As of September 2026, Volatility 3 is at version 2.26.x, with ongoing improvements to Windows symbol handling, Linux and macOS support, and new plugins for cloud and container forensics. The project follows a rolling release model on GitHub.

Common acquisition tools include WinPmem and DumpIt for Windows, LiME for Linux, and AVML for Linux on cloud instances. On macOS, osxpmem or the built-in memory capture features can be used. Once captured, the raw memory image can be analyzed directly with Volatility 3 plugins such as windows.pslist, linux.pslist, or mac.pslist.

Yes. Recent Volatility 3 releases have added plugins and workflows for analyzing memory images from containers and cloud virtual machines. This includes support for common cloud providers' snapshot formats and container runtimes, enabling memory forensics in modern cloud-native environments.

Metadata

Official Website Visit Website

Category Info

Digital Forensics covers tools used to acquire, preserve, and analyze digital evidence from endpoints, memory, disks, and network traffic in support of incident response, investigations, and legal proceedings.

Added On

September 16, 2026

Last Updated

September 16, 2026