# HACKE-RC/awesome-reversing

A collection of resources to learn Reverse Engineering from start!

Repository: https://github.com/HACKE-RC/awesome-reversing
Canonical: https://ross.abutalabs.com/products/hacke-rc-awesome-reversing
License Family: other
Last push: 2025-03-18T15:55:13+00:00

## Health v2 (maintenance only)
Score: 37/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 12, release rhythm 35, longevity 95
- inputs: {"age_days": 1341, "days_push": 533, "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 1492, forks 109 (observed 2026-08-28T04:04:52.521055+00:00)

## What it is
A curated awesome-list of resources for learning reverse engineering from beginner to advanced, covering assembly, OS internals, deobfuscation, anti-analysis, and symbolic execution. It includes a learning roadmap, tutorials, books, blogs, and hands-on projects.

## Use cases
- learn reverse engineering from scratch
- find x86-64 assembly tutorials
- study windows and linux internals
- get a reverse engineering roadmap
- learn deobfuscation and anti-analysis techniques
- find resources for malware analysis and ctf challenges

## When to choose
- you want a structured path into reverse engineering
- you need curated links to assembly and OS internals material
- you are preparing for security research or CTF reversing challenges

## When to avoid
- you need an actual reverse engineering tool rather than learning material
- you want interactive courses rather than a link collection

## Facets
- artifact type: learning-resource
- maturity: active
- function: reverse-engineering, documentation
- domain: reverse-engineering, security, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, assembly, malware-analysis, ctf, binary-analysis, roadmap

## Member repositories
- HACKE-RC/awesome-reversing (main) score 37

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:52.521055+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 2026-08-30T04:33:28.073146+00:00, confidence not recorded.
  - readme: https://github.com/HACKE-RC/awesome-reversing (fetched 2026-08-28T04:04:52.521055+00:00, sha ecde0973a1cb)
- Data as of 2026-08-30T08:39:29.467469+00:00.