# Velocidex/WinPmem

The multi-platform memory acquisition tool.

Repository: https://github.com/Velocidex/WinPmem
Canonical: https://ross.abutalabs.com/products/winpmem
Language: C
License: Apache-2.0
License Family: permissive
Last push: 2025-10-14T14:13:22+00:00

## Health v2 (maintenance only)
Score: 44/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 47, release rhythm 8, longevity 100
- inputs: {"age_days": 2665, "days_push": 323, "days_rel": 649, "gap_med": null, "n_releases_24m": 1}
- flags: prerelease_only
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1034, forks 151 (observed 2026-08-28T04:03:18.652281+00:00)

## What it is
WinPmem is an open-source Windows physical memory acquisition tool with a signed kernel driver and standalone imager executables. It dumps raw memory images using multiple independent reading methods that can bypass kernel-mode rootkits.

## Use cases
- dump physical memory from a Windows machine for forensic analysis
- acquire a RAM image during incident response
- capture live memory even when rootkits are present
- write a raw memory image to a file from the command line
- read live physical memory from Python for analysis on the running system

## When to choose
- you need a self-contained, dependency-free memory imager for Windows incident response
- you want open-source, signed memory acquisition supporting Win7-Win10 x86 and x64
- you need multiple acquisition methods to defeat anti-forensic rootkits

## When to avoid
- you need AFF4-format images (the AFF4 imager is not yet updated)
- you need memory acquisition on Linux or macOS (use Linpmem or other tools)
- you need to acquire memory from systems newer than the supported Windows versions

## Facets
- artifact type: cli-tool
- maturity: active
- function: security
- domain: security, windows
- platform: windows, cli
- tags: memory-acquisition, incident-response, digital-forensics, memory-dump, kernel-driver, forensics

## Member repositories
- Velocidex/WinPmem (main) score 44

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:18.652281+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:06:31.064175+00:00, confidence not recorded.
  - readme: https://github.com/Velocidex/WinPmem (fetched 2026-08-28T04:03:18.652281+00:00, sha bc8399d350a3)
- Data as of 2026-08-30T08:39:29.467469+00:00.