# michalmalik/linux-re-101

A collection of resources for linux reverse engineering

Repository: https://github.com/michalmalik/linux-re-101
Canonical: https://ross.abutalabs.com/products/linux-re-101
License Family: other
Last push: 2022-06-02T17:39:32+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": 4259, "days_push": 1553, "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 2079, forks 366 (observed 2026-08-28T04:06:11.546349+00:00)

## What it is
A curated collection of links, papers, and references for Linux reverse engineering, covering ELF binaries, syscalls, assembly, and anti-debugging techniques. It is a reading list rather than a tool, aimed at people learning binary analysis on Linux.

## Use cases
- learn linux reverse engineering
- find resources on ELF binary format
- study linux syscall internals
- get started with binary analysis on linux
- read papers on linux malware analysis
- find x86 and ARM assembly tutorials
- learn anti-debugging techniques on linux

## When to choose
- you want a curated starting point for learning Linux binary reverse engineering
- you need quick reference links for ELF, syscalls, and ABI documentation
- you are building a study path for Linux malware or binary analysis

## When to avoid
- you need an actual reverse engineering tool like a disassembler or debugger
- you want actively maintained tooling rather than a link collection
- you need resources for Windows or macOS reverse engineering specifically

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: reverse-engineering, developer-tools, documentation
- domain: security, reverse-engineering, operating-systems, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, elf-binaries, binary-analysis, assembly, malware-analysis, resource-collection, curated-links, linux

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

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:11.546349+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 2026-08-30T02:56:04.480818+00:00, confidence not recorded.
  - readme: https://github.com/michalmalik/linux-re-101 (fetched 2026-08-28T04:06:11.546349+00:00, sha 9e51ebb5b266)
- Data as of 2026-08-30T08:39:29.467469+00:00.