# Invoke-IR/PowerForensics

PowerForensics provides an all in one platform for live disk forensic analysis

Repository: https://github.com/Invoke-IR/PowerForensics
Canonical: https://ross.abutalabs.com/products/powerforensics
Language: C#
License: MIT
License Family: permissive
Last push: 2023-11-16T10:31:37+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4197, "days_push": 1021, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1442, forks 280 (observed 2026-08-28T04:04:44.776008+00:00)

## What it is
PowerForensics is a PowerShell module built on a C# class library that provides an all-in-one framework for live disk forensic analysis. It supports NTFS and FAT file systems, with work begun on Ext and HFS+ support.

## Use cases
- perform live disk forensic analysis on Windows systems
- parse NTFS and FAT file system artifacts
- support incident response investigations with PowerShell cmdlets
- extract file system metadata during forensic triage
- build custom forensic tooling on a public C# API

## When to choose
- you need scriptable disk forensics on Windows via PowerShell
- you are doing live incident response and want to avoid imaging the drive first
- you want an extensible forensic framework with a public API

## When to avoid
- you need cross-platform forensics on Linux or macOS
- you need support for Ext4 or HFS+ file systems today
- you need actively developed tooling with frequent updates

## Facets
- artifact type: framework
- maturity: maintenance
- function: security, cli, file-system, developer-tools
- domain: security, windows
- platform: windows, dotnet
- tags: digital-forensics, incident-response, dfir, disk-forensics, ntfs, fat, powershell-module, forensics, command-line

## Member repositories
- Invoke-IR/PowerForensics (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:44.776008+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 2026-08-30T04:36:23.194566+00:00, confidence not recorded.
  - readme: https://github.com/Invoke-IR/PowerForensics (fetched 2026-08-28T04:04:44.776008+00:00, sha 22bfca647e8e)
- Data as of 2026-08-30T08:39:29.467469+00:00.