# stuxnet999/MemLabs

Educational, CTF-styled labs for individuals interested in Memory Forensics

Repository: https://github.com/stuxnet999/MemLabs
Canonical: https://ross.abutalabs.com/products/memlabs
Language: Shell
License: MIT
License Family: permissive
Topics: forensics, dfir, memory-forensics, windows, ctf, ctf-challenges, digital-forensics, security, cybersecurity
Last push: 2021-03-08T15:54:40+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2568, "days_push": 2004, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1888, forks 230 (observed 2026-08-28T04:05:49.347127+00:00)

## What it is
MemLabs is an educational set of CTF-styled challenges for learning memory forensics, providing Windows memory dumps across six labs of increasing difficulty. It is designed to help students, security researchers, and CTF players practice analyzing memory images using tools like the Volatility Framework.

## Use cases
- learn memory forensics from scratch
- practice analyzing Windows memory dumps
- train for CTF forensics challenges
- teach DFIR fundamentals to students
- get hands-on experience with the Volatility Framework
- build digital forensics skills through guided labs

## When to choose
- you want a structured, beginner-friendly introduction to memory forensics
- you prefer learning security through CTF-style challenges with flags
- you need ready-made Windows memory images for practicing Volatility
- you are an instructor looking for lab material to teach DFIR

## When to avoid
- you need production forensics tooling rather than practice material
- you want labs covering operating systems other than Windows
- you require advanced or frequently updated challenges - the labs are introductory and the last release was in 2021
- you need a solution without downloading large memory dump files

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: security, developer-tools
- domain: security, education, tutorials
- platform: windows, cross-platform
- tags: memory-forensics, ctf, dfir, volatility, digital-forensics, capture-the-flag, windows-memory-dumps, hands-on-labs, security-training, linux

## Member repositories
- stuxnet999/MemLabs (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:49.347127+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 2026-08-30T03:13:31.014025+00:00, confidence not recorded.
  - readme: https://github.com/stuxnet999/MemLabs (fetched 2026-08-28T04:05:49.347127+00:00, sha e6da115b4589)
- Data as of 2026-08-30T08:39:29.467469+00:00.