# meirwah/awesome-incident-response

A curated list of tools for incident response

Repository: https://github.com/meirwah/awesome-incident-response
Canonical: https://ross.abutalabs.com/products/awesome-incident-response
License: Apache-2.0
License Family: permissive
Topics: incident-response, security, cybersecurity, dfir, awesome-list, awesome, list, incident-response-tooling
Last push: 2026-07-15T10:58:26+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 92, release rhythm 35, longevity 100
- inputs: {"age_days": 3949, "days_push": 49, "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 9353, forks 1736 (observed 2026-08-28T04:10:30.795575+00:00)

## What it is
A curated awesome-list of tools and resources for security incident response and digital forensics (DFIR). It organizes links across categories like evidence collection, memory analysis, log analysis, adversary emulation, and playbooks.

## Use cases
- find tools for incident response
- build a DFIR toolkit
- learn digital forensics and incident response
- find memory forensics tools
- find evidence collection tools for Windows and Linux
- prepare an incident response playbook

## When to choose
- you need a vetted directory of DFIR tools rather than a single tool
- you are a security analyst assembling an incident response capability
- you want to discover tools across many DFIR categories in one place

## When to avoid
- you need an actual incident response tool rather than a list of links
- you expect runnable software or documentation from this repo itself
- you need a step-by-step incident response methodology rather than tool discovery

## Facets
- artifact type: learning-resource
- maturity: active
- function: security, developer-tools
- domain: security, awesome-lists, penetration-testing
- platform: cross-platform
- tags: incident-response, dfir, curated-list, forensics, cybersecurity

## Member repositories
- meirwah/awesome-incident-response (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:30.795575+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 2026-08-29T17:22:26.644123+00:00, confidence not recorded.
  - readme: https://github.com/meirwah/awesome-incident-response (fetched 2026-08-28T04:10:30.795575+00:00, sha c930729b5b94)
- Data as of 2026-08-30T08:39:29.467469+00:00.