# PatrikH0lop/malware_showcase

Understand the nature of malicious software with practical examples in Python.

Repository: https://github.com/PatrikH0lop/malware_showcase
Canonical: https://ross.abutalabs.com/products/malware_showcase
Language: Python
License: MIT
License Family: permissive
Last push: 2023-12-19T20:55:48+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": 2587, "days_push": 988, "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 2282, forks 398 (observed 2026-08-28T04:06:33.848562+00:00)

## What it is
An educational repository demonstrating how different types of malware (file infectors, trojans, worms, spyware, ransomware) work through simple, explained Python examples. It is intended purely for learning about malicious software behavior.

## Use cases
- learn how malware works with practical examples
- understand file infection techniques
- study how a keylogger is implemented
- see a simple ransomware example in Python
- educational resource for security courses
- understand trojan and worm behavior

## When to choose
- you want hands-on, explained examples of malware concepts in Python
- you are teaching or learning cybersecurity fundamentals
- you need simple reference implementations of malware categories

## When to avoid
- you need production-grade security tooling or antivirus capabilities
- you want real-world malware samples or advanced evasion techniques
- you need a maintained tool - the project sees infrequent updates

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: security, developer-tools, documentation
- domain: security, education, tutorials
- platform: python, cross-platform
- tags: malware-analysis, educational-examples, keylogger, ransomware, trojan, worm, file-infector, reverse-engineering

## Member repositories
- PatrikH0lop/malware_showcase (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:33.848562+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 2026-08-30T02:41:19.291527+00:00, confidence not recorded.
  - readme: https://github.com/PatrikH0lop/malware_showcase (fetched 2026-08-28T04:06:33.848562+00:00, sha 359a9e51bfe6)
- Data as of 2026-08-30T08:39:29.467469+00:00.