# zhengmin1989/iOS_ICE_AND_FIRE

iOS冰与火之歌

Repository: https://github.com/zhengmin1989/iOS_ICE_AND_FIRE
Canonical: https://ross.abutalabs.com/products/ios_ice_and_fire
Language: Objective-C
License Family: other
Last push: 2018-02-17T02:45:39+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": 3872, "days_push": 3119, "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 1082, forks 285 (observed 2026-08-28T04:03:31.031453+00:00)

## What it is
A Chinese-language article series ('iOS Ice and Fire Song') covering iOS security research, from userland sandbox escapes to kernel exploitation. The repository hosts the series index and companion materials for topics like Objective-C pwn, arm64 ROP, app hooking, XPC sandbox bypass, and UAF kernel exploits.

## Use cases
- learn iOS kernel exploitation techniques
- study iOS sandbox escape methods
- understand arm64 ROP chains on iOS
- learn how to hook apps on non-jailbroken iOS
- study the PEGASUS trident local privilege escalation
- learn iOS 9 app decryption (dumping decrypted binaries)

## When to choose
- you are studying iOS/OS X security research and exploit development
- you want historical case studies of iOS sandbox escapes and kernel bugs
- you read Chinese and want a structured intro to userland-to-kernel iOS exploitation

## When to avoid
- you need up-to-date techniques for modern iOS versions
- you need maintained code or tooling rather than articles
- you require an English-language resource

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: security, reverse-engineering, penetration-testing
- domain: security, apple-ecosystem, tutorials, reverse-engineering
- platform: -
- tags: ios-security, kernel-exploitation, sandbox-escape, arm64-rop, objective-c, security-research, tutorial-series, ios, macos

## Member repositories
- zhengmin1989/iOS_ICE_AND_FIRE (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:31.031453+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 2026-08-30T06:51:18.198294+00:00, confidence not recorded.
  - readme: https://github.com/zhengmin1989/iOS_ICE_AND_FIRE (fetched 2026-08-28T04:03:31.031453+00:00, sha d5fa61b81512)
- Data as of 2026-08-30T08:39:29.467469+00:00.