# microsoft/avml

AVML - Acquire Volatile Memory for Linux

Repository: https://github.com/microsoft/avml
Canonical: https://ross.abutalabs.com/products/avml
Language: Rust
License: MIT
License Family: permissive
Topics: rust, memory-forensics, linux-security
Last push: 2026-08-19T16:09:14+00:00

## Health v2 (maintenance only)
Score: 92/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 80, longevity 100
- inputs: {"age_days": 2645, "days_push": 14, "days_rel": 56, "gap_med": 57.5, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1118, forks 96 (observed 2026-08-28T04:03:39.077004+00:00)

## What it is
AVML is a portable X86_64 userland volatile memory acquisition tool for Linux, written in Rust and distributed as a static binary. It captures memory images without prior knowledge of the target distribution or kernel, and can upload them to Azure Blob Storage or via HTTP PUT.

## Use cases
- acquire volatile memory from a linux host for forensic analysis
- capture a memory dump without compiling kernel modules on the target
- upload memory images to azure blob storage during incident response
- convert between LiME, AVML, and raw memory image formats
- stream a memory snapshot directly to remote storage
- collect compressed memory images to minimize transfer size

## When to choose
- you need a static, dependency-free memory acquisition binary for diverse Linux distributions
- you want to upload memory captures to cloud storage like Azure Blob Store
- you need LiME-compatible output without on-target compilation or kernel fingerprinting

## When to avoid
- the target kernel has kernel_lockdown enabled
- you need memory acquisition on non-x86_64 architectures
- you need a GUI-based forensic suite rather than a CLI acquisition tool

## Facets
- artifact type: cli-tool
- maturity: active
- function: security, cli
- domain: security, operating-systems
- platform: cli
- tags: memory-forensics, memory-acquisition, incident-response, dfir, rust, azure-blob-storage, lime-format, forensics, linux

## Member repositories
- microsoft/avml (main) score 92

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:39.077004+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 2026-08-30T06:41:49.567747+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/avml (fetched 2026-08-28T04:03:39.077004+00:00, sha 40369e4a9594)
  - registry_crates: https://crates.io/api/v1/crates/avml (fetched 2026-08-29T12:45:19.973485+00:00, sha 35bfc7f0e610)
- Data as of 2026-08-30T08:39:29.467469+00:00.