# lasting-yang/frida_hook_libart

Frida hook some jni functions

Repository: https://github.com/lasting-yang/frida_hook_libart
Canonical: https://ross.abutalabs.com/products/frida_hook_libart
Language: JavaScript
License: MIT
License Family: permissive
Last push: 2025-10-22T06:04:52+00:00

## Health v2 (maintenance only)
Score: 54/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 48, release rhythm 35, longevity 100
- inputs: {"age_days": 3026, "days_push": 315, "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 1713, forks 527 (observed 2026-08-28T04:05:25.916826+00:00)

## What it is
A collection of Frida hook scripts for intercepting Android ART JNI functions, most notably RegisterNatives. It reveals native method registrations including class names, signatures, and native library offsets.

## Use cases
- hook JNI functions in an Android app with Frida
- trace RegisterNatives calls to map Java methods to native implementations
- find which .so library and offset implements a JNI method
- reverse engineer native Android libraries
- analyze obfuscated Android apps that register natives dynamically

## When to choose
- you are reverse engineering an Android app's native code with Frida
- you need to enumerate dynamically registered JNI methods and their native offsets
- you want ready-made hook scripts for ART internals

## When to avoid
- you need a general-purpose Frida framework rather than JNI-specific scripts
- you are not working with Android/ART
- you need a GUI-based dynamic analysis tool

## Facets
- artifact type: library
- maturity: active
- function: reverse-engineering, security, developer-tools
- domain: security, reverse-engineering, android-tools, developer-tools
- platform: cli, python
- tags: frida, jni, hooking, android-reversing, native-libraries, javascript, android

## Member repositories
- lasting-yang/frida_hook_libart (main) score 54

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:25.916826+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 2026-08-30T03:34:43.382814+00:00, confidence not recorded.
  - readme: https://github.com/lasting-yang/frida_hook_libart (fetched 2026-08-28T04:05:25.916826+00:00, sha 81260d8be8f2)
- Data as of 2026-08-30T08:39:29.467469+00:00.