# mikesiko/PracticalMalwareAnalysis-Labs

Binaries for the book Practical Malware Analysis

Repository: https://github.com/mikesiko/PracticalMalwareAnalysis-Labs
Canonical: https://ross.abutalabs.com/products/practicalmalwareanalysis-labs
License Family: other
Last push: 2022-06-14T16:37:01+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3416, "days_push": 1541, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1545, forks 389 (observed 2026-08-28T04:05:01.540150+00:00)

## What it is
A collection of malicious lab binaries accompanying the book 'Practical Malware Analysis'. The samples are designed as hands-on reverse-engineering exercises targeting Windows XP, with some rebuilt for Windows 7.

## Use cases
- practice malware reverse engineering from the Practical Malware Analysis book
- get sample binaries for learning static and dynamic malware analysis
- set up a malware analysis training lab
- find realistic malicious samples for IDA or x64dbg practice
- teach a malware analysis course with matching exercises

## When to choose
- you are following the Practical Malware Analysis book and need its lab files
- you want curated, book-aligned samples for learning reverse engineering in an isolated VM

## When to avoid
- you need production malware detection tooling rather than training samples
- you cannot provide a safe isolated analysis environment
- you need samples for modern Windows versions, since most labs target Windows XP

## Facets
- artifact type: dataset
- maturity: stable
- function: security, reverse-engineering
- domain: security, reverse-engineering, education
- platform: windows
- tags: malware-analysis, lab-binaries, book-exercises, reverse-engineering-practice

## Member repositories
- mikesiko/PracticalMalwareAnalysis-Labs (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:01.540150+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 2026-08-30T04:30:35.979319+00:00, confidence not recorded.
  - readme: https://github.com/mikesiko/PracticalMalwareAnalysis-Labs (fetched 2026-08-28T04:05:01.540150+00:00, sha a6cd4a28dad6)
- Data as of 2026-08-30T08:39:29.467469+00:00.