# michalmalik/osx-re-101

A collection of resources for OSX/iOS reverse engineering.

Repository: https://github.com/michalmalik/osx-re-101
Canonical: https://ross.abutalabs.com/products/osx-re-101
License Family: other
Last push: 2019-12-19T17:32:48+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": 4069, "days_push": 2449, "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 1729, forks 242 (observed 2026-08-28T04:05:28.512628+00:00)

## What it is
A curated collection of links, papers, and references for reverse engineering macOS and iOS binaries, covering the Mach-O file format, system calls, malware analysis, and anti-debugging techniques. It is a reading list rather than a tool, aimed at security researchers learning Apple platform internals.

## Use cases
- learn macOS reverse engineering from scratch
- find Mach-O file format documentation
- study iOS malware analysis techniques
- research macOS anti-debugging and obfuscation methods
- find resources on crafting macOS rootkits
- compare ELF and Mach-O binary formats
- prepare for Apple platform security research

## When to choose
- you need a curated starting point for OSX/iOS reverse engineering
- you are researching Mach-O internals or Apple binary protection
- you want papers and talks on macOS malware and rootkits

## When to avoid
- you need an actual reverse engineering tool rather than a link collection
- you target Windows or Linux binaries instead of Apple platforms
- you need actively maintained, up-to-date content (last updated around 2019)

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: reverse-engineering, security, developer-tools
- domain: security, reverse-engineering, apple-ecosystem, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, mach-o, malware-analysis, resource-collection, curated-links, macos, ios

## Member repositories
- michalmalik/osx-re-101 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:28.512628+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 2026-08-30T03:31:57.401256+00:00, confidence not recorded.
  - readme: https://github.com/michalmalik/osx-re-101 (fetched 2026-08-28T04:05:28.512628+00:00, sha fdfc2730f443)
- Data as of 2026-08-30T08:39:29.467469+00:00.