# alvin-tosh/Malware-Exhibit

🚀🚀 This is a 🎇🔥 REAL WORLD🔥 🎇 Malware Collection I have  Compiled & analysed by researchers🔥 to understand more about Malware threats😈, analysis and mitigation🧐.

Repository: https://github.com/alvin-tosh/Malware-Exhibit
Canonical: https://ross.abutalabs.com/products/malware-exhibit
Language: Assembly
License: MIT
License Family: permissive
Topics: cryptography, cybersecurity, encryption-decryption, ethical-hacking, infosec, keylogger, malware-analysis, malware-research, ransomware, stealer-windows, threat-hunting, threat-intelligence, trojan, virus, malware, notpetya-malware, petya, spyware, wannacry-ransomware, apt
Last push: 2024-01-12T06:43:27+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1553, "days_push": 964, "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 1181, forks 196 (observed 2026-08-28T04:03:54.169312+00:00)

## What it is
A curated collection of real-world malware samples compiled and analyzed by researchers for studying malware threats, analysis techniques, and mitigation. It covers families such as WannaCry, NotPetya, ransomware, keyloggers, trojans, and spyware.

## Use cases
- study real-world malware samples for security research
- learn malware analysis and reverse engineering
- build threat intelligence knowledge from known malware families
- train SOC analysts on ransomware and APT behavior
- test detection and mitigation strategies against known malware
- research historical outbreaks like WannaCry and NotPetya

## When to choose
- you need a curated set of real malware samples for educational or research purposes
- you are studying malware families, analysis workflows, or mitigation techniques
- you want reference material for threat hunting and threat intelligence work

## When to avoid
- you need a defensive security tool rather than sample material
- you want a safe sandboxed malware analysis platform with automated tooling
- you cannot handle live malware safely - these are real, dangerous samples

## Facets
- artifact type: dataset
- maturity: active
- function: security, reverse-engineering, developer-tools
- domain: security, reverse-engineering, penetration-testing
- platform: windows, cross-platform
- tags: malware-samples, malware-analysis, threat-intelligence, ransomware, keylogger, trojan, spyware, educational, linux

## Member repositories
- alvin-tosh/Malware-Exhibit (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:54.169312+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 2026-08-30T06:25:01.033149+00:00, confidence not recorded.
  - readme: https://github.com/alvin-tosh/Malware-Exhibit (fetched 2026-08-28T04:03:54.169312+00:00, sha 5d28c1d6d3c3)
- Data as of 2026-08-30T08:39:29.467469+00:00.
