# DERE-ad2001/Frida-Labs

The repo contains a series of challenges for learning Frida for Android Exploitation.

Repository: https://github.com/DERE-ad2001/Frida-Labs
Canonical: https://ross.abutalabs.com/products/frida-labs
License: MIT
License Family: permissive
Topics: android-security, ctf, ctf-challenges, ctf-solutions, frida, hacking, jadx, reverse-engineering, security
Last push: 2026-02-22T09:46:36+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 68, release rhythm 35, longevity 72
- inputs: {"age_days": 1010, "days_push": 192, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1315, forks 180 (observed 2026-08-28T04:04:20.706820+00:00)

## What it is
A series of hands-on Android challenges designed to teach Frida dynamic instrumentation from basics to intermediate usage. Each challenge ships with an APK and a solution, covering method hooking, native hooking, and instruction patching.

## Use cases
- learn frida for android exploitation
- practice hooking android methods with frida
- beginner frida tutorials with challenges
- learn native function hooking on android
- practice reverse engineering android apps
- find ctf-style android challenges with solutions

## When to choose
- you are completely new to Frida and want a structured learning path
- you want hands-on APKs with provided solutions
- you want to practice Frida APIs from basic hooking to native patching

## When to avoid
- you need advanced or hardcore CTF-level exploitation challenges
- you need production tooling rather than learning exercises
- you target iOS or non-Android platforms

## Facets
- artifact type: learning-resource
- maturity: active
- function: reverse-engineering, security, developer-tools
- domain: security, android-tools, tutorials, education
- platform: cross-platform
- tags: frida, android-exploitation, ctf-challenges, hooking, dynamic-instrumentation, mobile-security, learning-by-doing, android

## Member repositories
- DERE-ad2001/Frida-Labs (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:20.706820+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 2026-08-30T04:48:39.967154+00:00, confidence not recorded.
  - readme: https://github.com/DERE-ad2001/Frida-Labs (fetched 2026-08-28T04:04:20.706820+00:00, sha 791848236d30)
- Data as of 2026-08-30T08:39:29.467469+00:00.