# RPISEC/Malware

Course materials for Malware Analysis by RPISEC

Repository: https://github.com/RPISEC/Malware
Canonical: https://ross.abutalabs.com/products/malware
License Family: other
Last push: 2022-08-26T22:56:18+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3890, "days_push": 1468, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4059, forks 799 (observed 2026-08-28T04:08:33.985557+00:00)

## What it is
Course materials for RPISEC's university-level Malware Analysis course (CSCI 4976), built around the Practical Malware Analysis book. It includes lectures, labs, and real-world malware samples (password-protected) for learning static and dynamic analysis.

## Use cases
- learn malware analysis from scratch
- practice reverse engineering on real malware samples
- self-study static and dynamic malware analysis
- find hands-on labs for a security course
- learn anti-analysis techniques

## When to choose
- you want a structured, university-style malware analysis curriculum
- you prefer hands-on labs with real samples
- you're a beginner with some assembly and C background

## When to avoid
- you need production security tooling rather than educational material
- you can't safely handle live malware samples in an isolated environment
- you need actively updated content for the latest malware techniques

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: reverse-engineering, security, developer-tools
- domain: security, reverse-engineering, tutorials, education
- platform: cross-platform, windows
- tags: malware-analysis, course-materials, university-course, static-analysis, dynamic-analysis, x86-assembly

## Member repositories
- RPISEC/Malware (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:33.985557+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 2026-08-29T18:23:36.203859+00:00, confidence not recorded.
  - readme: https://github.com/RPISEC/Malware (fetched 2026-08-28T04:08:33.985557+00:00, sha 70fe37b6d9b0)
- Data as of 2026-08-30T08:39:29.467469+00:00.