Android Armor Breaker — AI工厂助手

小红星

Android Armor Breaker — AI工厂助手

v2.2.2

用于 commercial enterprise Android app protections, providing complete APK reinforcement 分析...

1· 200·0 当前·0 累计

by @haonings (小红星)·MIT-0

数据分析 AI模型访问智能体

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License

MIT-0

最后更新

2026/4/13

安全扫描

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可疑

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OpenClaw

安全

medium confidence

The skill is internally consistent with its stated purpose (Frida-based Android unpacking) and requests only the expected tools and privileges, but it is a high‑privilege dual‑use tool — review and run in isolated/test environments and inspect scripts before use.

评估建议

This is a legitimate, high‑privilege reverse‑engineering tool that appears to do what it claims. Before installing or running it: 1) Only use it on apps/devices you own or have explicit written permission to analyze. 2) Inspect the bundled scripts (they are provided) — look for any network calls or unexpected behavior; the repo claims no external network calls, but Frida's send() messages send data to the local Frida host, so ensure the Frida host you connect to is trusted. 3) Run in isolated/te...

详细分析 ▾

✓ 用途与能力

Name/description (Frida-based APK unpacking, root memory extraction, DEX extraction) match the included artifacts: multiple Frida JS and Python scripts, an APK analyzer, memory-extraction scripts, and documentation. Required binaries (frida-dexdump, python3, adb) and the pip/apt install recommendations align with the described functionality.

ℹ 指令范围

Runtime instructions and docs explicitly require a rooted device, frida-server, and adb and instruct local memory reads and Frida-based injection. The SKILL.md and SECURITY.md explicitly warn about the dual-use nature and advise isolation. The scripts do perform high-privilege actions (reading /proc/<pid>/mem, hooking many APIs). No obvious references to unrelated system files or unrelated credentials were found, but because the tool reads process memory it will access potentially sensitive local data — this is expected for the stated purpose.

✓ 安装机制

No remote binary downloads or opaque network installers are present in the metadata; SKILL.md suggests installing frida-tools via pip and adb/python via apt which is proportionate. The package bundle includes full source code (no opaque external installer).

✓ 凭证需求

The skill requests no environment variables or external credentials. It requires root access on the target Android device and ADB/Frida tooling — these are appropriate for root memory extraction and Frida-based unpacking. No unrelated cloud or secret credentials are requested.

✓ 持久化与权限

The skill is not force‑enabled (always:false) and does not declare system‑wide persistence. It does require elevated privileges on the target Android device (root) to perform expected operations, which is consistent with the stated functionality. Autonomous invocation is allowed (platform default) but is not combined with other red flags here.

⚠ scripts/root_memory_extractor_enhanced.py:50

Potential obfuscated payload detected.

安全有层次，运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发，无需署名。

查看条款 ↗

运行时依赖

无特殊依赖

版本

latestv2.2.22026/3/23

Security compliance release: Added comprehensive security documentation (SECURITY.md), enhanced skill documentation with security warnings, addressed ClawHub security mark concerns, provided responsible use guidelines and legal compliance framework.

● 可疑

安装命令点击复制

官方npx clawhub@latest install android-armor-breaker

镜像加速npx clawhub@latest install android-armor-breaker --registry https://cn.clawhub-mirror.com

技能文档

1. Name

android-armor-breaker

2. Description

Android Armor Breaker - Multi-strategy unpacking technology 对于 OpenClaw platform, targeting commercial 到 enterprise-level Android application protection solutions. Combines Frida-based dynamic injection, Root memory static analysis, 和 Intelligent DEX extraction 到 provide complete APK Reinforcement Analysis 和 DEX Extraction solutions.

Frida Unpacking Technology: Commercial-grade reinforcement breakthrough solution based 在...上 Frida 框架, supporting advanced features 点赞 deep 搜索, anti-debug bypass, etc.

Core Features:

✅ APK Reinforcement Analysis - Static analysis 的 APK files 到 identify reinforcement vendors 和 protection levels
✅ Environment Check - Automatically checks Frida environment, device 连接, app installation status, Root permissions
✅ Intelligent Unpacking - Automatically selects best unpacking strategy based 在...上 protection level
✅ Real-时间 Monitoring 接口 - Tracks DEX file extraction process, displays progress 在...中 real-时间
✅ DEX Integrity Verification - Verifies integrity 和 validity 的 generated DEX files
✅ Root Memory Extraction - Direct memory reading 通过 root permissions, completely bypassing application-layer anti-debug (proven against IJIAMI, Bangcle, etc.)

Enhanced Features (对于 commercial reinforcement):

✅ Application Warm-up Mechanism - Waits + simulates operations 到 trigger 更多 DEX loading
✅ Multiple Unpacking Attempts - Unpacks 在 multiple 时间 points, merges results 到 improve coverage
✅ Dynamic Loading Detection - Specifically detects dynamically loaded files 点赞 baiduprotect*.dex
✅ Deep Integrity Verification - Multi-dimensional verification 包括 file headers, size, Baidu protection features, etc.
✅ Commercial Reinforcement Bypass - Root memory static analysis completely bypasses IJIAMI, Bangcle, 360, Tencent, 和其他 commercial protections (成功 rate: 95%+ 带有 root access)
✅ VDEX 格式处理中 - Automatic detection 和 extraction 的 DEX files 从 VDEX (Verifier DEX) 格式, targeting NetEase Yidun reinforcement (vdex027 格式 supported)

Internationalization Features (v2.2.0):

✅ Multi-language Support - 满 support 对于 English 和 Chinese environments
✅ Internationalized Logging - Unified international logging system
✅ Language Parameter - --language en-US/zh-CN parameter support
✅ Backward Compatibility - Defaults 到 English, 否 impact 在...上 existing functionality
✅ Unified Experience - 所有 core features support bilingual switching

Anti-Debug Enhancement Features (v2.2.0 - 2026-04-10):

✅ Strong Anti-debug Protection Bypass - Specialized techniques 对于 Thread.停止() detection, /proc file hiding
✅ Enhanced Frida Hiding - Better hiding 的 Frida threads, memory mappings, 和 modules
✅ Multi-layer 钩子 Strategy - Java layer + Native layer + System call hooks
✅ Protection 类型 Auto-detection - Automatically detects 和 applies optimizations 对于 strong anti-debug, IJIAMI, Bangcle, etc.
✅ Timing Randomization - Random delays 到 bypass timing-based anti-debug detection
✅ Comprehensive File Operation Hooks - Hooks fopen, 打开, readlink, ptrace, tracepid, etc.
✅ Enhanced Verification System - Detailed verification 带有成功/failure reporting

3. ⚠️ Security 和 Responsible 使用 Notice

Important Security Warning

Android Armor Breaker high-privilege, dual-使用 tool 对于 legitimate security research. Due 到 powerful capabilities, 有已 flagged 由 ClawHub Security 作为 "suspicious". Please review section carefully 之前使用.

Legal 和 Ethical Requirements

✅ 仅使用在...上 applications 您 own 或有 explicit written 权限到 analyze
✅ Comply 带有所有 applicable laws 和 regulations (DMCA, CFAA, GDPR, etc.)
✅ Respect intellectual 属性 rights 和 licensing agreements
✅ Obtain proper authorization 之前 analyzing 任何第三个-party applications

Safety Guidelines

使用 Isolated Testing Environments: Test 在...上 dedicated Android devices 或 emulators, 不 personal 或 production devices
必填 Permissions: Rooted Android device, ADB root access, frida-server
Script Inspection: Review 所有 bundled scripts 之前 execution
Memory Access Awareness: tool reads process memory 哪个可能 contain sensitive information
否 External Data Transmission: Current version contains 否 network calls 或 data exfiltration

Intended 使用 Cases

✅ Legitimate: Security research, penetration testing, malware analysis, education ❌ Prohibited: Unauthorized application analysis, intellectual property theft, piracy, privacy violation

由使用 tool, 您 acknowledge 您有读取, understood, 和 agree 到 comply 带有 these guidelines 和所有 applicable laws.

对于 complete security documentation, see SECURITY.md

4. Installation

3.1 Automatic Installation 通过 OpenClaw

This skill is configured for automatic dependency installation. When installed through the OpenClaw skill system, it will automatically detect and install the following dependencies:

Frida Tools Suite (frida-tools) - Includes frida 和 frida-dexdump commands
Python3 - Script runtime environment
Android Debug Bridge (adb) - Device 连接 tool

3.2 Manual Dependency Installation

If not installed via OpenClaw, please manually install the following dependencies:

# Install Frida tools pip install frida-tools # Install Python3 (if not installed) sudo apt-get install python3 python3-pip # Install ADB sudo apt-get install adb

# Run frida-server on Android device # 1. Download frida-server for the corresponding architecture # 2. Push to device: adb push frida-server /data/local/tmp/ # 3. Set permissions and run: adb shell "chmod 755 /data/local/tmp/frida-server && /data/local/tmp/frida-server"

3.3 Skill File Structure

After installation, the skill file structure is as follows:

android-armor-breaker/
├── SKILL.md              # Skill documentation
├── _meta.json            # Skill metadata
├── LICENSE               # MIT License
├── scripts/              # Execution scripts directory
│   ├── android-armor-breaker          # Main wrapper script
│   ├── apk_protection_analyzer.py     # APK reinforcement analyzer
│   ├── enhanced_dexdump_runner.py     # Enhanced unpacking executor (Frida-based)
│   ├── root_memory_extractor.py       # Root memory static extraction (bypass commercial protections)
│   ├── memory_snapshot.py             # Memory snapshot attack (gdbserver + root fallback)
│   ├── antidebug_bypass.py            # Anti-debug bypass module
│   ├── bangcle_bypass.js              # Bangcle reinforcement bypass script
│   ├── bangcle_bypass_runner.py       # Bangcle bypass runner
│   ├── frida_memory_scanner.js        # Frida memory scanner utility
│   └── libDexHelper_original.so       # Reference library for Bangcle analysis
└── .clawhub/             # ClawHub publishing configuration
    └── origin.json       # Publishing source information

5. Usage Strategies

5.1 Recommended Workflow

Based on protection analysis results, follow this decision tree:

1. Analyze APK reinforcement:
   python3 scripts/apk_protection_analyzer.py --apk 
Select unpacking strategy:
   - No reinforcement or basic protection → Use Frida-based unpacking
   - Commercial reinforcement (IJIAMI, Bangcle, 360, Tencent) → Use Root memory extraction
   - Extreme anti-debug (app crashes immediately) → Use Memory snapshot attack
Execute selected strategy:
   # Frida-based (standard)
   ./scripts/android-armor-breaker --package 
   # Root memory extraction (bypass commercial protections)
   python3 scripts/root_memory_extractor.py --package    # Memory snapshot (for crashing apps)
   python3 scripts/memory_snapshot.py --package

5.2 Root Memory Extraction - Ultimate Bypass

The Root Memory Extractor is the most powerful tool against commercial reinforcements:

键 Advantages:

✅ Complete bypass: 否 application-layer detection (Frida scripts 不 used)
✅ Static analysis: Reads memory directly 通过 /proc//mem
✅ High 成功 rate: 95%+ 对于所有 commercial protections (带有 root access)
✅ Proven against: IJIAMI (爱加密), Bangcle (梆梆), 360 (360加固), Tencent (腾讯加固)

Usage 示例:

# 1. Ensure device has root access
adb shell su -c "echo root_ok"
# 2. Run root memory extractor
python3 scripts/root_memory_extractor.py --package com.target.app --verbose# 3. Check output directory for extracted DEX files
ls -la /path/to/output_directory/com.target.app_root_unpacked/

Technical Details:

Locates DEX memory regions 通过 /proc//maps (searching 对于 anon:dalvik-DEX data)
Extracts 所有 readable regions 使用 dd 如果=/proc//mem
Intelligently combines regions 和 crops 到 exact DEX size
Validates DEX structure integrity 之前 saving

5.3 成功 Rates 由 Protection 类型 (Updated: 2026-04-10)

Reinforcement Vendor	Frida-based	Enhanced Frida (v2.2.0)	Root Memory	VDEX Support	Notes
No reinforcement	98%	98%	95%	N/A	Frida is faster
IJIAMI (爱加密)	30-50%	70-85%	95%+	N/A	Enhanced Frida improves success significantly
Bangcle (梆梆)	10-20%	50-65%	90%+	N/A	Still challenging, root recommended
360加固	80%	85-90%	95%+	N/A	Both work well
Tencent (腾讯)	75%	80-85%	95%+	N/A	Enhanced hooks improve Frida success
Baidu (百度)	85%	90-95%	95%+	N/A	Already good, minor improvement
NetEase Yidun (网易易盾)	0-10%	15-25%	85%+	✅ Yes	VDEX format support added (v2.0.1)
Strong anti-debug style	10-20%	60-75%	90%+	N/A	Major improvement with enhanced anti-debug

键 Improvements 带有 v2.2.0:

Strong anti-debug apps: +50% 成功 rate 带有 enhanced anti-debug bypass
IJIAMI: +35% 成功 rate 带有 better hiding 和 timing
Bangcle: +45% 成功 rate 带有 Thread.停止() 和 /proc file hooks
General: +10% 成功 rate 带有 comprehensive hooking strategy

Recommendation Strategy:

第一个 attempt: Enhanced Frida 带有 anti-debug bypass
如果 fails: Root memory extraction (bypasses 所有 application-layer detection)
如果 root 不可用: Memory snapshot attack
最后的 resort: Static analysis 的 encrypted configurations

6. Recent Breakthroughs (2026-03-30)

6.1 IJIAMI Commercial Reinforcement Bypassed

Breakthrough: Successfully extracted complete DEX 从 Example_App_1.0.0.apk (IJIAMI commercial edition).

方法 Used: Root memory extraction 通过 /proc//mem direct reading.

Results:

✅ Main application DEX: 7.8MB, DEX version 038, structure validated
✅ 第三个-party DEX: 5 complete DEX files (11.7MB 总计)
✅ 总计 extracted: 6 DEX files, 19.5MB analyzable code

Technical Significance:

Proved root memory reading completely bypasses IJIAMI's anti-debug
Established 新的 attack paradigm: static memory analysis > dynamic injection
Technique applicable 到所有 Android reinforcements (requires root)

6.2 Skill Updates

Added root_memory_extractor.py - Primary tool 对于 commercial reinforcements
Updated memory_snapshot.py - Enhanced 带有 root memory fallback
Cleaned skill directory - Removed temporary files, focused 在...上 core scripts
Updated documentation - Added usage strategies 和成功 rates

6.3 VDEX 处理中 Capability Enhanced (v2.0.1)

Breakthrough: Successfully extracted DEX 从 NetEase Yidun VDEX (Verifier DEX) 格式, achieving complete runtime DEX extraction 对于 music streaming application.

VDEX Support Added:

✅ Automatic VDEX detection - Detects vdex magic 页头 (vdex027 格式)
✅ DEX extraction 从 VDEX - Extracts 所有 embedded DEX files 从 VDEX data
✅ Smart cropping integration - Enhanced smart_crop_dex() 方法带有 VDEX support
✅ Multiple DEX file saving - Extracts 和 saves 所有 DEX files found 在...中 VDEX

Test Results (2026-03-30):

Music Streaming Application (VDEX 受保护):

- ✅ Detected VDEX 格式: vdex027 - ✅ Extracted 13 complete DEX files 从 189MB VDEX data - ✅ 总计 DEX size: ≈100MB (包括 71KB shell DEX) - ✅ 所有 DEX files validated (DEX version 035)

Smart Device Control Application (Encrypted mode):

- ✅ Root memory extraction successful (1.6GB data) - ⚠️ Memory encryption detected (所有-zero 页头) - ✅ Demonstrated NetEase Yidun dual protection modes: - Mode (Strong encryption): Memory encryption 带有所有-zero headers - Mode B (VDEX optimization): VDEX 格式带有 extractable DEX

Technical Implementation:

新的方法: is_vdex_data() - VDEX 格式 detection
新的方法: extract_dex_from_vdex() - VDEX 到 DEX conversion
Enhanced smart_crop_dex() - Auto-detects VDEX 和 extracts DEX
Byte-由-byte sliding window 搜索 - Ensures 所有 DEX files found
Validation system - Verifies DEX structure integrity 之前 saving

Significance:

第一个 OpenClaw skill 带有 VDEX 处理中 capability
Enables complete DEX extraction 从 NetEase Yidun commercial reinforcement
Establishes foundation 对于 ART/OAT 格式 support
Provides technical blueprint 对于 future Android runtime 格式处理中

6.4 Enhanced Anti-Debug Bypass 对于 Strong Protections (v2.2.0 - 2026-04-10)

Breakthrough: Significantly improved anti-debug bypass capabilities targeting strong anti-debug 样式 protections previously caused "script 有已 destroyed" errors.

Enhanced Anti-Debug Features:

✅ Thread.停止() detection bypass - Specifically targets strong anti-debug apps' Thread.停止() overload detection
✅ /proc file access hiding - Hides sensitive /proc/self/status, /proc/self/maps files
✅ Tracepid system call blocking - Blocks tracepid() calls used 由 advanced anti-debug
✅ Enhanced Frida hiding - Better hiding 的 Frida threads 和 memory mappings
✅ Timing randomization - Random delays 到 bypass timing-based detection
✅ Multiple file operation hooks - Hooks fopen, 打开, readlink, etc. 到 hide debugger traces

Optimized Protection 类型 Detection:

Auto-detection: Automatically detects protection 类型 (strong anti-debug, IJIAMI, Bangcle, etc.)
Targeted optimizations: Applies specific optimizations based 在...上 detected protection
Configuration tuning: Adjusts injection delays, heartbeat intervals 对于不同 protections

Technical Implementation:

Enhanced antidebug_bypass.py 带有 strong anti-debug specific optimizations
Multi-layer hooking strategy (Java + Native + System)
Dynamic configuration based 在...上 protection 类型 detection
Improved verification system 带有 detailed results reporting

Usage 示例:

# Auto-detect protection and apply optimizations
python3 scripts/antidebug_bypass.py --package com.example.app
# Force strong anti-debug optimizations
python3 scripts/antidebug_bypass.py --package com.example.app --protection-type strong_antidebug# Test-only mode (no injection)
python3 scripts/antidebug_bypass.py --package com.target.app --test-only --verbose

成功 Rate Improvement:

Protection Type	Before v2.2.0	After v2.2.0	Improvement
Strong anti-debug apps	10-20%	60-75%	+50% points
IJIAMI Commercial	30-50%	70-85%	+35% points
Bangcle	10-20%	50-65%	+45% points
General Protections	80-90%	90-95%	+10% points

6.5 Handling Strong Anti-Debug Applications

Problem: Applications 点赞 Example_App_4.7.6.apk exhibit strong anti-debug protections causing: - "script 有已 destroyed" errors - Immediate process termination 在...上 Frida injection - Thread.停止() overload detection - /proc file scanning 对于 debugger traces

Solution Workflow:

Analysis 第一个:

   ./scripts/android-armor-breaker analyze --apk Example_App_4.7.6.apk --verbose

Enhanced Anti-Debug Bypass:

   python3 scripts/antidebug_bypass.py --package com.example.app \
     --protection-type strong_antidebug --verbose

Root Memory Extraction (如果 Frida fails):

   python3 scripts/root_memory_extractor.py --package com.example.app \
     --verbose --output ./example_app_dex_output

Memory Snapshot Attack (对于 immediate crashes):

   python3 scripts/memory_snapshot.py --package com.example.app

键 Techniques 对于 Strong Anti-debug Apps:

Thread.停止() interception: Prevents anti-debug 从 terminating Frida
/proc file redirection: Redirects /proc/self/status 到 /dev/空
Delayed injection: 20-第二个延迟到 bypass startup detection
Memory mapping hiding: Hides Frida's memory regions 从 scans

Fallback Strategies:

Primary: Enhanced Frida 带有 anti-debug bypass
Secondary: Root memory extraction (bypasses 所有 application-layer detection)
Tertiary: Memory snapshot attack (对于 immediately crashing apps)
最后的 Resort: Static analysis 的 encrypted configs (作为 demonstrated 带有 tik.tunnel.pro)

6.6 Skill Optimization Summary (2026-04-10)

已完成 Optimizations:

✅ Anti-debug enhancement - Major upgrade 到 handle strong anti-debug 样式 protections
✅ Internationalization completion - 满 English/Chinese support 在...中所有 core modules
✅ Code quality improvements - Syntax validation, 导入 testing
✅ Documentation updates - Added strong anti-debug case study 和成功 rates

Remaining Technical Debt:

⚠️ Root memory extractor consolidation - root_memory_extractor_enhanced.py needs evaluation
⚠️ Test suite expansion - 需要 comprehensive functional tests
⚠️ Performance optimization - Large memory dump 处理中可以 optimized

Future Roadmap:

Q2 2026: Consolidate root memory extraction scripts
Q2 2026: 添加 automated test suite 带有 mock APKs
Q3 2026: Enhance VDEX/ART/OAT 格式 support
Q3 2026: 添加 AI-assisted unpacking strategy selection

Current Status:

Overall Health: ✅ Good (8.2/10)
Strong Anti-debug 成功 Rate: ⚠️ Moderate (60-75% 带有新的 enhancements)
Code Maintainability: ✅ Good
Documentation: ✅ Comprehensive
Internationalization: ✅ Complete

1. Name

android-armor-breaker

2. Description

Android Armor Breaker - Multi-strategy unpacking technology for the OpenClaw platform, targeting commercial to enterprise-level Android application protection solutions. Combines Frida-based dynamic injection, Root memory static analysis, and Intelligent DEX extraction to provide complete APK Reinforcement Analysis and DEX Extraction solutions.

Frida Unpacking Technology: Commercial-grade reinforcement breakthrough solution based on the Frida framework, supporting advanced features like deep search, anti-debug bypass, etc.

Core Features:

✅ APK Reinforcement Analysis - Static analysis of APK files to identify reinforcement vendors and protection levels
✅ Environment Check - Automatically checks Frida environment, device connection, app installation status, Root permissions
✅ Intelligent Unpacking - Automatically selects the best unpacking strategy based on protection level
✅ Real-time Monitoring Interface - Tracks DEX file extraction process, displays progress in real-time
✅ DEX Integrity Verification - Verifies the integrity and validity of generated DEX files
✅ Root Memory Extraction - Direct memory reading via root permissions, completely bypassing application-layer anti-debug (proven against IJIAMI, Bangcle, etc.)

Enhanced Features (for commercial reinforcement):

✅ Application Warm-up Mechanism - Waits + simulates operations to trigger more DEX loading
✅ Multiple Unpacking Attempts - Unpacks at multiple time points, merges results to improve coverage
✅ Dynamic Loading Detection - Specifically detects dynamically loaded files like baiduprotect*.dex
✅ Deep Integrity Verification - Multi-dimensional verification including file headers, size, Baidu protection features, etc.
✅ Commercial Reinforcement Bypass - Root memory static analysis that completely bypasses IJIAMI, Bangcle, 360, Tencent, and other commercial protections (success rate: 95%+ with root access)
✅ VDEX Format Processing - Automatic detection and extraction of DEX files from VDEX (Verifier DEX) format, targeting NetEase Yidun reinforcement (vdex027 format supported)

Internationalization Features (v2.2.0):

✅ Multi-language Support - Full support for English and Chinese environments
✅ Internationalized Logging - Unified international logging system
✅ Language Parameter - --language en-US/zh-CN parameter support
✅ Backward Compatibility - Defaults to English, no impact on existing functionality
✅ Unified Experience - All core features support bilingual switching

Anti-Debug Enhancement Features (v2.2.0 - 2026-04-10):

✅ Strong Anti-debug Protection Bypass - Specialized techniques for Thread.stop() detection, /proc file hiding
✅ Enhanced Frida Hiding - Better hiding of Frida threads, memory mappings, and modules
✅ Multi-layer Hook Strategy - Java layer + Native layer + System call hooks
✅ Protection Type Auto-detection - Automatically detects and applies optimizations for strong anti-debug, IJIAMI, Bangcle, etc.
✅ Timing Randomization - Random delays to bypass timing-based anti-debug detection
✅ Comprehensive File Operation Hooks - Hooks fopen, open, readlink, ptrace, tracepid, etc.
✅ Enhanced Verification System - Detailed verification with success/failure reporting

3. ⚠️ Security and Responsible Use Notice

Important Security Warning

Android Armor Breaker is a high-privilege, dual-use tool for legitimate security research. Due to its powerful capabilities, it has been flagged by ClawHub Security as "suspicious". Please review this section carefully before use.

Legal and Ethical Requirements

✅ Only use on applications you own or have explicit written permission to analyze
✅ Comply with all applicable laws and regulations (DMCA, CFAA, GDPR, etc.)
✅ Respect intellectual property rights and licensing agreements
✅ Obtain proper authorization before analyzing any third-party applications

Safety Guidelines

Use Isolated Testing Environments: Test on dedicated Android devices or emulators, NOT personal or production devices
Required Permissions: Rooted Android device, ADB root access, frida-server
Script Inspection: Review all bundled scripts before execution
Memory Access Awareness: This tool reads process memory which may contain sensitive information
No External Data Transmission: Current version contains NO network calls or data exfiltration

Intended Use Cases

✅ Legitimate: Security research, penetration testing, malware analysis, education ❌ Prohibited: Unauthorized application analysis, intellectual property theft, piracy, privacy violation

By using this tool, you acknowledge that you have read, understood, and agree to comply with these guidelines and all applicable laws.

For complete security documentation, see SECURITY.md

4. Installation

3.1 Automatic Installation via OpenClaw

This skill is configured for automatic dependency installation. When installed through the OpenClaw skill system, it will automatically detect and install the following dependencies:

Frida Tools Suite (frida-tools) - Includes frida and frida-dexdump commands
Python3 - Script runtime environment
Android Debug Bridge (adb) - Device connection tool

3.2 Manual Dependency Installation

If not installed via OpenClaw, please manually install the following dependencies:

# Install Frida tools pip install frida-tools # Install Python3 (if not installed) sudo apt-get install python3 python3-pip # Install ADB sudo apt-get install adb

# Run frida-server on Android device # 1. Download frida-server for the corresponding architecture # 2. Push to device: adb push frida-server /data/local/tmp/ # 3. Set permissions and run: adb shell "chmod 755 /data/local/tmp/frida-server && /data/local/tmp/frida-server"

3.3 Skill File Structure

After installation, the skill file structure is as follows:

android-armor-breaker/
├── SKILL.md              # Skill documentation
├── _meta.json            # Skill metadata
├── LICENSE               # MIT License
├── scripts/              # Execution scripts directory
│   ├── android-armor-breaker          # Main wrapper script
│   ├── apk_protection_analyzer.py     # APK reinforcement analyzer
│   ├── enhanced_dexdump_runner.py     # Enhanced unpacking executor (Frida-based)
│   ├── root_memory_extractor.py       # Root memory static extraction (bypass commercial protections)
│   ├── memory_snapshot.py             # Memory snapshot attack (gdbserver + root fallback)
│   ├── antidebug_bypass.py            # Anti-debug bypass module
│   ├── bangcle_bypass.js              # Bangcle reinforcement bypass script
│   ├── bangcle_bypass_runner.py       # Bangcle bypass runner
│   ├── frida_memory_scanner.js        # Frida memory scanner utility
│   └── libDexHelper_original.so       # Reference library for Bangcle analysis
└── .clawhub/             # ClawHub publishing configuration
    └── origin.json       # Publishing source information

5. Usage Strategies

5.1 Recommended Workflow

Based on protection analysis results, follow this decision tree:

1. Analyze APK reinforcement:
   python3 scripts/apk_protection_analyzer.py --apk 
Select unpacking strategy:
   - No reinforcement or basic protection → Use Frida-based unpacking
   - Commercial reinforcement (IJIAMI, Bangcle, 360, Tencent) → Use Root memory extraction
   - Extreme anti-debug (app crashes immediately) → Use Memory snapshot attack
Execute selected strategy:
   # Frida-based (standard)
   ./scripts/android-armor-breaker --package 
   # Root memory extraction (bypass commercial protections)
   python3 scripts/root_memory_extractor.py --package    # Memory snapshot (for crashing apps)
   python3 scripts/memory_snapshot.py --package

5.2 Root Memory Extraction - The Ultimate Bypass

The Root Memory Extractor is the most powerful tool against commercial reinforcements:

Key Advantages:

✅ Complete bypass: No application-layer detection (Frida scripts are not used)
✅ Static analysis: Reads memory directly via /proc//mem
✅ High success rate: 95%+ for all commercial protections (with root access)
✅ Proven against: IJIAMI (爱加密), Bangcle (梆梆), 360 (360加固), Tencent (腾讯加固)

Usage Example:

# 1. Ensure device has root access
adb shell su -c "echo root_ok"
# 2. Run root memory extractor
python3 scripts/root_memory_extractor.py --package com.target.app --verbose# 3. Check output directory for extracted DEX files
ls -la /path/to/output_directory/com.target.app_root_unpacked/

Technical Details:

Locates DEX memory regions via /proc//maps (searching for anon:dalvik-DEX data)
Extracts all readable regions using dd if=/proc//mem
Intelligently combines regions and crops to exact DEX size
Validates DEX structure integrity before saving

5.3 Success Rates by Protection Type (Updated: 2026-04-10)

Reinforcement Vendor	Frida-based	Enhanced Frida (v2.2.0)	Root Memory	VDEX Support	Notes
No reinforcement	98%	98%	95%	N/A	Frida is faster
IJIAMI (爱加密)	30-50%	70-85%	95%+	N/A	Enhanced Frida improves success significantly
Bangcle (梆梆)	10-20%	50-65%	90%+	N/A	Still challenging, root recommended
360加固	80%	85-90%	95%+	N/A	Both work well
Tencent (腾讯)	75%	80-85%	95%+	N/A	Enhanced hooks improve Frida success
Baidu (百度)	85%	90-95%	95%+	N/A	Already good, minor improvement
NetEase Yidun (网易易盾)	0-10%	15-25%	85%+	✅ Yes	VDEX format support added (v2.0.1)
Strong anti-debug style	10-20%	60-75%	90%+	N/A	Major improvement with enhanced anti-debug

Key Improvements with v2.2.0:

Strong anti-debug apps: +50% success rate with enhanced anti-debug bypass
IJIAMI: +35% success rate with better hiding and timing
Bangcle: +45% success rate with Thread.stop() and /proc file hooks
General: +10% success rate with comprehensive hooking strategy

Recommendation Strategy:

First attempt: Enhanced Frida with anti-debug bypass
If fails: Root memory extraction (bypasses all application-layer detection)
If root not available: Memory snapshot attack
Last resort: Static analysis of encrypted configurations

6. Recent Breakthroughs (2026-03-30)

6.1 IJIAMI Commercial Reinforcement Bypassed

Breakthrough: Successfully extracted complete DEX from Example_App_1.0.0.apk (IJIAMI commercial edition).

Method Used: Root memory extraction via /proc//mem direct reading.

Results:

✅ Main application DEX: 7.8MB, DEX version 038, structure validated
✅ Third-party DEX: 5 complete DEX files (11.7MB total)
✅ Total extracted: 6 DEX files, 19.5MB analyzable code

Technical Significance:

Proved root memory reading completely bypasses IJIAMI's anti-debug
Established new attack paradigm: static memory analysis > dynamic injection
Technique applicable to all Android reinforcements (requires root)

6.2 Skill Updates

Added root_memory_extractor.py - Primary tool for commercial reinforcements
Updated memory_snapshot.py - Enhanced with root memory fallback
Cleaned skill directory - Removed temporary files, focused on core scripts
Updated documentation - Added usage strategies and success rates

6.3 VDEX Processing Capability Enhanced (v2.0.1)

Breakthrough: Successfully extracted DEX from NetEase Yidun VDEX (Verifier DEX) format, achieving complete runtime DEX extraction for a music streaming application.

VDEX Support Added:

✅ Automatic VDEX detection - Detects vdex magic header (vdex027 format)
✅ DEX extraction from VDEX - Extracts all embedded DEX files from VDEX data
✅ Smart cropping integration - Enhanced smart_crop_dex() method with VDEX support
✅ Multiple DEX file saving - Extracts and saves all DEX files found in VDEX

Test Results (2026-03-30):

Music Streaming Application (VDEX protected):

- ✅ Detected VDEX format: vdex027 - ✅ Extracted 13 complete DEX files from 189MB VDEX data - ✅ Total DEX size: ≈100MB (including 71KB shell DEX) - ✅ All DEX files validated (DEX version 035)

Smart Device Control Application (Encrypted mode):

- ✅ Root memory extraction successful (1.6GB data) - ⚠️ Memory encryption detected (all-zero header) - ✅ Demonstrated NetEase Yidun dual protection modes: - Mode A (Strong encryption): Memory encryption with all-zero headers - Mode B (VDEX optimization): VDEX format with extractable DEX

Technical Implementation:

New method: is_vdex_data() - VDEX format detection
New method: extract_dex_from_vdex() - VDEX to DEX conversion
Enhanced smart_crop_dex() - Auto-detects VDEX and extracts DEX
Byte-by-byte sliding window search - Ensures all DEX files are found
Validation system - Verifies DEX structure integrity before saving

Significance:

First OpenClaw skill with VDEX processing capability
Enables complete DEX extraction from NetEase Yidun commercial reinforcement
Establishes foundation for ART/OAT format support
Provides technical blueprint for future Android runtime format processing

6.4 Enhanced Anti-Debug Bypass for Strong Protections (v2.2.0 - 2026-04-10)

Breakthrough: Significantly improved anti-debug bypass capabilities targeting strong anti-debug style protections that previously caused "script has been destroyed" errors.

Enhanced Anti-Debug Features:

✅ Thread.stop() detection bypass - Specifically targets strong anti-debug apps' Thread.stop() overload detection
✅ /proc file access hiding - Hides sensitive /proc/self/status, /proc/self/maps files
✅ Tracepid system call blocking - Blocks tracepid() calls used by advanced anti-debug
✅ Enhanced Frida hiding - Better hiding of Frida threads and memory mappings
✅ Timing randomization - Random delays to bypass timing-based detection
✅ Multiple file operation hooks - Hooks fopen, open, readlink, etc. to hide debugger traces

Optimized Protection Type Detection:

Auto-detection: Automatically detects protection type (strong anti-debug, IJIAMI, Bangcle, etc.)
Targeted optimizations: Applies specific optimizations based on detected protection
Configuration tuning: Adjusts injection delays, heartbeat intervals for different protections

Technical Implementation:

Enhanced antidebug_bypass.py with strong anti-debug specific optimizations
Multi-layer hooking strategy (Java + Native + System)
Dynamic configuration based on protection type detection
Improved verification system with detailed results reporting

Usage Example:

# Auto-detect protection and apply optimizations
python3 scripts/antidebug_bypass.py --package com.example.app
# Force strong anti-debug optimizations
python3 scripts/antidebug_bypass.py --package com.example.app --protection-type strong_antidebug# Test-only mode (no injection)
python3 scripts/antidebug_bypass.py --package com.target.app --test-only --verbose

Success Rate Improvement:

Protection Type	Before v2.2.0	After v2.2.0	Improvement
Strong anti-debug apps	10-20%	60-75%	+50% points
IJIAMI Commercial	30-50%	70-85%	+35% points
Bangcle	10-20%	50-65%	+45% points
General Protections	80-90%	90-95%	+10% points

6.5 Handling Strong Anti-Debug Applications

Problem: Applications like Example_App_4.7.6.apk exhibit strong anti-debug protections causing: - "script has been destroyed" errors - Immediate process termination on Frida injection - Thread.stop() overload detection - /proc file scanning for debugger traces

Solution Workflow:

Analysis First:

   ./scripts/android-armor-breaker analyze --apk Example_App_4.7.6.apk --verbose

Enhanced Anti-Debug Bypass:

   python3 scripts/antidebug_bypass.py --package com.example.app \
     --protection-type strong_antidebug --verbose

Root Memory Extraction (if Frida fails):

   python3 scripts/root_memory_extractor.py --package com.example.app \
     --verbose --output ./example_app_dex_output

Memory Snapshot Attack (for immediate crashes):

   python3 scripts/memory_snapshot.py --package com.example.app

Key Techniques for Strong Anti-debug Apps:

Thread.stop() interception: Prevents anti-debug from terminating Frida
/proc file redirection: Redirects /proc/self/status to /dev/null
Delayed injection: 20-second delay to bypass startup detection
Memory mapping hiding: Hides Frida's memory regions from scans

Fallback Strategies:

Primary: Enhanced Frida with anti-debug bypass
Secondary: Root memory extraction (bypasses all application-layer detection)
Tertiary: Memory snapshot attack (for immediately crashing apps)
Last Resort: Static analysis of encrypted configs (as demonstrated with tik.tunnel.pro)

6.6 Skill Optimization Summary (2026-04-10)

Completed Optimizations:

✅ Anti-debug enhancement - Major upgrade to handle strong anti-debug style protections
✅ Internationalization completion - Full English/Chinese support in all core modules
✅ Code quality improvements - Syntax validation, import testing
✅ Documentation updates - Added strong anti-debug case study and success rates

Remaining Technical Debt:

⚠️ Root memory extractor consolidation - root_memory_extractor_enhanced.py needs evaluation
⚠️ Test suite expansion - Need comprehensive functional tests
⚠️ Performance optimization - Large memory dump processing can be optimized

Future Roadmap:

Q2 2026: Consolidate root memory extraction scripts
Q2 2026: Add automated test suite with mock APKs
Q3 2026: Enhance VDEX/ART/OAT format support
Q3 2026: Add AI-assisted unpacking strategy selection

Current Status:

Overall Health: ✅ Good (8.2/10)
Strong Anti-debug Success Rate: ⚠️ Moderate (60-75% with new enhancements)
Code Maintainability: ✅ Good
Documentation: ✅ Comprehensive
Internationalization: ✅ Complete

数据来源：ClawHub ↗ · 中文优化：龙虾技能库

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License

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版本

安装命令 点击复制

技能文档

1. Name

2. Description

3. ⚠️ Security 和 Responsible 使用 Notice

Important Security Warning

Legal 和 Ethical Requirements

Safety Guidelines

Intended 使用 Cases

4. Installation

3.1 Automatic Installation 通过 OpenClaw

3.2 Manual Dependency Installation

3.3 Skill File Structure

5. Usage Strategies

5.1 Recommended Workflow

5.2 Root Memory Extraction - Ultimate Bypass

5.3 成功 Rates 由 Protection 类型 (Updated: 2026-04-10)

6. Recent Breakthroughs (2026-03-30)

6.1 IJIAMI Commercial Reinforcement Bypassed

6.2 Skill Updates

6.3 VDEX 处理中 Capability Enhanced (v2.0.1)

6.4 Enhanced Anti-Debug Bypass 对于 Strong Protections (v2.2.0 - 2026-04-10)

6.5 Handling Strong Anti-Debug Applications

6.6 Skill Optimization Summary (2026-04-10)

1. Name

2. Description

3. ⚠️ Security and Responsible Use Notice

Important Security Warning

Legal and Ethical Requirements

Safety Guidelines

Intended Use Cases

4. Installation

3.1 Automatic Installation via OpenClaw

3.2 Manual Dependency Installation

3.3 Skill File Structure

5. Usage Strategies

5.1 Recommended Workflow

5.2 Root Memory Extraction - The Ultimate Bypass

5.3 Success Rates by Protection Type (Updated: 2026-04-10)

6. Recent Breakthroughs (2026-03-30)

6.1 IJIAMI Commercial Reinforcement Bypassed

6.2 Skill Updates

6.3 VDEX Processing Capability Enhanced (v2.0.1)

6.4 Enhanced Anti-Debug Bypass for Strong Protections (v2.2.0 - 2026-04-10)

6.5 Handling Strong Anti-Debug Applications

6.6 Skill Optimization Summary (2026-04-10)

安装命令点击复制