# randorisec/MobileHackingCheatSheet

Basics on commands/tools/info on how to assess the security of mobile applications

Repository: https://github.com/randorisec/MobileHackingCheatSheet
Canonical: https://ross.abutalabs.com/products/mobilehackingcheatsheet
License Family: other
Last push: 2026-03-19T14:16:09+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 73, release rhythm 8, longevity 100
- inputs: {"age_days": 2396, "days_push": 167, "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 1683, forks 262 (observed 2026-08-28T04:05:21.806709+00:00)

## What it is
A cheat sheet summarizing commands, tools, and techniques for assessing the security of Android and iOS mobile applications. It is available as markdown and PDF versions and references OWASP mobile security testing resources.

## Use cases
- learn mobile app penetration testing commands
- android security assessment reference
- ios app security testing cheat sheet
- adb commands for app testing
- prepare for mobile security audit
- owasp mobile testing guide companion

## When to choose
- you need a quick reference of mobile pentesting tools and commands
- you are assessing Android or iOS app security
- you want a curated starting point linked to OWASP MASTG/MASVS

## When to avoid
- you need a runnable tool rather than documentation
- you need comprehensive step-by-step training material
- you need automated mobile security scanning

## Facets
- artifact type: learning-resource
- maturity: active
- function: penetration-testing, security, developer-tools
- domain: security, penetration-testing, mobile-development, android-tools, tutorials
- platform: cross-platform
- tags: cheatsheet, mobile-security, android, ios, pentesting, reference-guide, owasp

## Member repositories
- randorisec/MobileHackingCheatSheet (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:21.806709+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 2026-08-30T03:41:20.335102+00:00, confidence not recorded.
  - readme: https://github.com/randorisec/MobileHackingCheatSheet (fetched 2026-08-28T04:05:21.806709+00:00, sha 37f6d31a7d66)
- Data as of 2026-08-30T08:39:29.467469+00:00.