Wan-Young Chung

149 papers C 7Misc 1Journal 93Unranked 43
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Access
Heonjong Yoo, Wan-Young Chung
2026 J jnl
IEEE J. Biomed. Health Informatics
Hika Barki Dalju, Ngoc-Dau Mai, Wan-Young Chung
2025 J jnl
IEEE Access
Saqi Hussain Kalan, Boon Giin Lee, Wan-Young Chung
2025 J jnl
Eng. Appl. Artif. Intell.
Lionel Nkenyereye, Boon Giin Lee, Wan-Young Chung
2025 J jnl
IEEE Internet Things J.
Lionel Nkenyereye, Chellakannu Rajkumar, Boon Giin Lee, Wan-Young Chung
2025 J jnl
Int. J. Hum. Comput. Interact.
Linjing Sun, Boon-Giin Lee, Wan-Young Chung
2025 J jnl
J. Cloud Comput.
Lionel Nkenyereye, Boon-Giin Lee, Wan-Young Chung
2025 J jnl
IEEE Commun. Lett.
Kaleem Ullah, Maaz Salman, Javad Bolboli, Wan-Young Chung
2025 J jnl
Inf. Fusion
Xiaoqing Chai, Boon-Giin Lee, Chenhang Hu, Matthew Pike, David Chieng, Renjie Wu, Wan-Young Chung
2025 J jnl
CoRR
Saqi Hussain Kalan, Boon-Giin Lee, Wan-Young Chung
2025 J jnl
IEEE Internet Things J.
Maaz Salman, Javad Bolboli, Kaleem Ullah, Wan-Young Chung
2025 J jnl
IEEE Trans. Intell. Transp. Syst.
Ngoc-Dau Mai, Ha-Trung Nguyen, Wan-Young Chung
2025 J jnl
Vis. Comput.
Ryosuke Shimazu, Chee Siang Leow, Prawit Buayai, Xiaoyang Mao, Wan-Young Chung, Hiromitsu Nishizaki
2025 J jnl
IEEE J. Biomed. Health Informatics
Ngoc-Dau Mai, Wan-Young Chung
2025 J jnl
IEEE Trans. Instrum. Meas.
Yudi April Nando, Ngoc-Dau Mai, Wan-Young Chung
2025 J jnl
Virtual Real.
Renzhi Han, Boon Giin Lee, Matthew Pike, Dave Towey, Yuan Yao, Yongfu Wang, Wan-Young Chung
2025 J jnl
IEEE Internet Things J.
Ngoc-Dau Mai, Yudi April Nando, Wan-Young Chung
2024 J jnl
CoRR
Maaz Salman, Javad Bolboli, Wan-Young Chung
2024 J jnl
J. Ambient Intell. Humaniz. Comput.
Noraini Azmi, Latifah Munirah Kamarudin, Ahmad Shakaff Ali Yeon, Ammar Zakaria, Syed Muhammad Mamduh Syed Zakaria, Retnam Visvanathan, Md. Fauzan Elham Alhim, Xiaoyang Mao, Mohamad Shukri Abdurrahman Zuhair, Wan-Young Chung
2024 J jnl
IEEE Open J. Commun. Soc.
Maaz Salman, Javad Bolboli, Ramavath Prasad Naik, Wan-Young Chung
2024 Misc conf
ICNC
Xinyuan Zhang, Xiaoyang Mao, Wan-Young Chung, Zhigang Gao, Jianwen Feng, Kentaro Go
2024 J jnl
Multim. Tools Appl.
Yuan Yu, Boon-Giin Lee, Matthew Pike, Qian Zhang, Wan-Young Chung
2024 J jnl
IEEE Open J. Commun. Soc.
Javad Bolboli, Maaz Salman, Ramavath Prasad Naik, Wan-Young Chung
2024 conf
IEEE SENSORS
Ngoc-Dau Mai, Yudi April Nando, Wan-Young Chung
2024 conf
IEEE SENSORS
Yudi April Nando, Ngoc-Dau Mai, Wan-Young Chung
2024 J jnl
IEEE Trans. Green Commun. Netw.
Javad Bolboli, Maaz Salman, Ramavath Prasad Naik, Wan-Young Chung
2024 J jnl
IEEE Signal Process. Lett.
Linzhen Zhu, Renjie Wu, Boon-Giin Lee, Lionel Nkenyereye, Wan-Young Chung, Gen Xu
2024 ed.
IHCI (1)
Bong Jun Choi, Dhananjay Singh, Uma Shanker Tiwary, Wan-Young Chung
2024 ed.
IHCI (2)
Bong Jun Choi, Dhananjay Singh, Uma Shanker Tiwary, Wan-Young Chung
2024 J jnl
IEEE Trans. Veh. Technol.
Ramavath Prasad Naik, Maaz Salman, Javad Bolboli, C. S. Savidhan Shetty, Wan-Young Chung
2024 C conf
CW
Kaishi Naito, Daisuke Inoue, Prawit Buayai, Wan-Young Chung, Xiaoyang Mao
2024 J jnl
IEEE Access
C. S. Savidhan Shetty, Achala G, Ramavath Prasad Naik, U. Shripathi Acharya, Wan-Young Chung
2024 J jnl
ICT Express
Ramavath Prasad Naik, Wan-Young Chung
2024 J jnl
IEEE Trans. Instrum. Meas.
Nguyen Mai Hoang Long, Wan-Young Chung
2024 J jnl
IEEE Access
Thai-Ha Dang, Lionel Nkenyereye, Viet-Thang Tran, Wan-Young Chung
2024 C conf
CW
Ngoc-Dau Mai, Kentaro Go, Xiaoyang Mao, Wan-Young Chung
2023 conf
IHCI (2)
Maaz Salman, Wan-Young Chung
2023 conf
IHCI (2)
Lionel Nkenyereye, Boon-Giin Lee, Wan-Young Chung
2023 conf
IHCI (2)
Boon-Giin Lee, Xiaoying Wang, Renzhi Han, Linjing Sun, Matthew Pike, Wan-Young Chung
2023 J jnl
IEEE Trans. Serv. Comput.
Lionel Nkenyereye, Kang-Jun Baeg, Wan-Young Chung
2023 conf
IHCI (1)
Ngoc-Dau Mai, Ha-Trung Nguyen, Wan-Young Chung
2023 C conf
IECON
Renjie Wu, Matthew Pike, Xiaoqing Chai, Boon-Giin Lee, Wan-Young Chung, Lionel Nkenyereye
2023 conf
SENSORS
Lionel Nkenyereye, Boon-Giin Lee, Kentaro Go, Xiaoyang Mao, Wan-Young Chung
2023 conf
IHCI (1)
Linjing Sun, Boon-Giin Lee, Matthew Pike, Wan-Young Chung
2023 conf
IHCI (2)
Minh-Hoang Vu, Viet-Thang Tran, Yudi April Nando, Wan-Young Chung
2023 J jnl
IEEE Access
C. S. Savidhan Shetty, Ramavath Prasad Naik, U. Shripathi Acharya, Wan-Young Chung
2023 J jnl
IEEE Internet Things J.
Mohammad Abrar Shakil Sejan, Wan-Young Chung
2023 J jnl
IEEE Access
Ngoc-Dau Mai, Ha-Trung Nguyen, Wan-Young Chung
2023 conf
CGI (1)
Naohiko Ishikawa, Zhenyang Zhu, Jong-Nam Kim, Wan-Young Chung, Kentaro Go, Xiaoyang Mao
2023 J jnl
IEEE Internet Things J.
Mohammad Abrar Shakil Sejan, Wan-Young Chung
2023 conf
IHCI (2)
Yongfu Wang, Boon-Giin Lee, Hualian Pei, Xiaoqing Chai, Wan-Young Chung
2023 conf
BioCAS
Hika Barki, Sang Hoon Chung, Roozbeh Jafari, Wan-Young Chung
2023 conf
IHCI (2)
Renjie Wu, Boon-Giin Lee, Matthew Pike, Liang Huang, Wan-Young Chung, Gen Xu
2022 J jnl
IEEE Open J. Commun. Soc.
Mohammad Abrar Shakil Sejan, Ramavath Prasad Naik, Boon-Giin Lee, Wan-Young Chung
2022 conf
IEEE SENSORS
Thai-Ha Dang, Ngoc-Hai Dang, Viet-Thang Tran, Wan-Young Chung
2022 J jnl
SN Comput. Sci.
Wan-Young Chung, Haokai Xu, Boon-Giin Lee
2022 conf
ICHI
Ngoc-Dau Mai, Ha-Trung Nguyen, Wan-Young Chung
2022 J jnl
Sensors
Gang Li, Wan-Young Chung
2022 J jnl
IEEE Access
Maaz Salman, Javad Bolboli, Wan-Young Chung
2022 conf
IEEE SENSORS
Dong-Eon Kim, Ngoc-Dau Mai, Wan-Young Chung
2022 J jnl
IEEE Access
Syed Muhammad Ali, Thanh-Binh Nguyen, Wan-Young Chung
2022 J jnl
IEEE Access
L. Bhargava Kumar, Ramavath Prasad Naik, Prabu Krishnan, A. Arockia Bazil Raj, Arun K. Majumdar, Wan-Young Chung
2021 conf
ICHI
Ha-Trung Nguyen, Ngoc-Dau Mai, Jong-Jin Kim, Wan-Young Chung
2021 conf
ICHI
Xiaoqing Chai, Boon-Giin Lee, Matthew Pike, Renjie Wu, Wan-Young Chung
2021 J jnl
Sensors
Ngoc-Dau Mai, Boon-Giin Lee, Wan-Young Chung
2021 conf
ICHI
Nguyen Mai Hoang Long, Jong-Jin Kim, Boon-Giin Lee, Wan-Young Chung
2021 conf
IEEE SENSORS
Syed Muhammad Ali, Wan-Young Chung
2021 J jnl
IEEE Internet Things J.
Mohammad Abrar Shakil Sejan, Wan-Young Chung
2021 ed.
ICHI (1)
Madhusudan Singh, Dae-Ki Kang, Jong-Ha Lee, Uma Shanker Tiwary, Dhananjay Singh, Wan-Young Chung
2021 ed.
IHCI (2)
Madhusudan Singh, Dae-Ki Kang, Jong-Ha Lee, Uma Shanker Tiwary, Dhananjay Singh, Wan-Young Chung
2021 conf
WF-IoT
Mohammad Abrar Shakil Sejan, Wan-Young Chung
2021 J jnl
IEEE Access
Huu-Dung Do, Dong-Eon Kim, Minh Binh Lam, Wan-Young Chung
2021 J jnl
Sensors
Xiaoqing Chai, Renjie Wu, Matthew Pike, Hangchao Jin, Wan-Young Chung, Boon-Giin Lee
2021 J jnl
ICT Express
Sudhanshu Arya, Yeon Ho Chung, Wan-Young Chung, Jong-Jin Kim, Nam-Ho Kim
2020 J jnl
Sensors
Dalin Yang, Trung-Hau Nguyen, Wan-Young Chung
2020 conf
IHCI (2)
Nguyen Mai Hoang Long, Jong-Jin Kim, Wan-Young Chung
2020 J jnl
Complex.
Dalin Yang, Trung-Hau Nguyen, Wan-Young Chung
2020 J jnl
Sensors
Dongeon Kim, Jonghak Lee, Wan-Young Chung, JangMyung Lee
2020 J jnl
Sensors
Thanh-Binh Nguyen, Trung-Hau Nguyen, Wan-Young Chung
2020 conf
IHCI (1)
Ngoc-Dau Mai, Trung-Hau Nguyen, Wan-Young Chung
2020 J jnl
IEEE Access
Minh Binh Lam, Trung-Hau Nguyen, Wan-Young Chung
2020 conf
IHCI (2)
Md. Habibur Rahman, Mohammad Abrar Shakil Sejan, Wan-Young Chung
2020 J jnl
Sensors
Syed Muhammad Ali, Wan-Young Chung
2020 J jnl
Sensors
Boon-Giin Lee, Teak Wei Chong, Wan-Young Chung
2020 conf
IHCI (1)
Boon-Giin Lee, Wan-Young Chung
2019 J jnl
IEEE Access
Trung-Hau Nguyen, Wan-Young Chung
2019 J jnl
Sensors
Xuan-Tu Cao, Wan-Young Chung
2019 conf
EMBC
Vega Pradana Rachim, Wan-Young Chung
2019 J jnl
Sensors
Trung-Hau Nguyen, Wan-Young Chung
2019 J jnl
IEEE Access
Pham Ngoc Quan, Vega Pradana Rachim, Wan-Young Chung
2019 J jnl
IEEE Access
Trung-Hau Nguyen, Wan-Young Chung
2019 J jnl
IEEE Trans. Biomed. Eng.
Toan Huu Huynh, Roozbeh Jafari, Wan-Young Chung
2018 J jnl
IEEE Access
Trung-Hau Nguyen, Dalin Yang, Wan-Young Chung
2018 J jnl
Sensors
Toan Huu Huynh, Roozbeh Jafari, Wan-Young Chung
2018 J jnl
IEEE Trans. Hum. Mach. Syst.
Gang Li, Wan-Young Chung
2018 J jnl
IEEE Trans. Cogn. Dev. Syst.
Yubing Jiang, Trung-Hau Nguyen, Wan-Young Chung
2018 J jnl
IEEE Access
Jinyoung An, Wan-Young Chung
2018 conf
IEEE SENSORS
Vega Pradana Rachim, Toan Huu Huynh, Wan-Young Chung
2017 J jnl
Comput. Math. Methods Medicine
Chuang-Kit Tey, Jinyoung An, Wan-Young Chung
2017 conf
EMBC
Vega Pradana Rachim, Jinyoung An, Pham Ngoc Quan, Wan-Young Chung
2017 J jnl
IEEE Trans. Intell. Transp. Syst.
Boon-Giin Lee, Wan-Young Chung
2016 conf
WF-IoT
Jinyoung An, Wan-Young Chung
2016 conf
EMBC
Yubing Jiang, Hyeon-Seok Lee, Gang Li, Wan-Young Chung
2016 conf
EMBC
Nam Trung Dang, Thang Viet Tran, Wan-Young Chung
2016 J jnl
IEEE Trans. Biomed. Circuits Syst.
Vega Pradana Rachim, Wan-Young Chung
2015 J jnl
Sensors
Gang Li, Wan-Young Chung
2015 J jnl
Sensors
Ee-May Fong, Wan-Young Chung
2015 conf
EMBC
Boon-Giin Lee, Boon-Leng Lee, Wan-Young Chung
2014 J jnl
J. Commun. Networks
Seung-Chul Lee, Wan-Young Chung
2014 J jnl
Sensors
Gang Li, Wan-Young Chung
2014 J jnl
Sensors
Boon-Giin Lee, Boon-Leng Lee, Wan-Young Chung
2014 conf
EMBC
Wan-Young Chung, Ee-May Fong
2013 J jnl
Sensors
Gang Li, Wan-Young Chung
2013 J jnl
Sensors
Ee-May Fong, Wan-Young Chung
2013 conf
EMBC
Yee Yong Tan, Sang-Joong Jung, Wan-Young Chung
2013 C conf
ICCE
Ee-May Fong, Tae-Ha Kwon, Wan-Young Chung
2013 conf
GCCE
Julian Ilham, Wan-Young Chung
2012 J jnl
Sensors
Boon-Giin Lee, Wan-Young Chung
2012 conf
BHI
Young-Sook Lee, Wan-Young Chung
2012 J jnl
KSII Trans. Internet Inf. Syst.
Wan-Young Chung
2012 J jnl
Sensors
Young-Sook Lee, Wan-Young Chung
2011 J jnl
Sensors
Pei-Cheng Hii, Wan-Young Chung
2011 J jnl
J. Inform. and Commun. Convergence Engineering
Rohit Ramesh, Heung-Sub Shin, Shin Il Jeong, Wan-Young Chung
2011 J jnl
J. Inform. and Commun. Convergence Engineering
Mangal Sain, Wan-Young Chung, Hoon-Jae Lee
2011 J jnl
CoRR
Wan-Young Chung, Amit Purwar, Annapurna Sharma
2011 J jnl
CoRR
Annapurna Sharma, Amit Purwar, Young-Dong Lee, Young-Sook Lee, Wan-Young Chung
2011 J jnl
CoRR
Annapurna Sharma, Young-Dong Lee, Wan-Young Chung
2010 J jnl
J. Inform. and Commun. Convergence Engineering
Rohit Ramesh, Heung-Sub Shin, Shin Il Jeong, Wan-Young Chung
2010 J jnl
Int. J. Heal. Inf. Syst. Informatics
Alka Gautam, Hoon-Jae Lee, Wan-Young Chung
2010 J jnl
J. Inform. and Commun. Convergence Engineering
Tae-Ha Kwon, Hyek-Hwan Choi, Wan-Young Chung
2009 conf
ICHIT
Pardeep Kumar, Hoon-Jae Lee, Wan-Young Chung
2009 C conf
ICIS
Dhananjay Singh, Hoon-Jae Lee, Wan-Young Chung
2009 conf
FGIT-FGCN
Mangal Sain, Sachin Bhardwaj, Hoon-Jae Lee, Wan-Young Chung
2009 conf
CSIE (1)
Dhananjay Singh, Hsein-Ping Kew, Uma Shanker Tiwary, Hoon-Jae Lee, Wan-Young Chung
2009 C conf
ICIS
Mangal Sain, Hoon-Jae Lee, Wan-Young Chung
2009 conf
NCM
Mangal Sain, Hoon-Jae Lee, Wan-Young Chung
2009 J jnl
KSII Trans. Internet Inf. Syst.
Chi-Shian Yang, Sang-Joong Jung, Wan-Young Chung
2009
Wan-Young Chung
2008 J jnl
Cybern. Syst.
Jong Ryul Kim, Kyeong-Hoon Do, Wan-Young Chung, Il Seok Ko
2008 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Erin-Ee-Lin Lau, Wan-Young Chung
2008 J jnl
J. Digit. Content Technol. its Appl.
Do-Un Jeong, Wan-Young Chung
2008 conf
MFI
Annapurna Sharma, Amit Purwar, Young-Dong Lee, Young-Sook Lee, Wan-Young Chung
2008 conf
MFI
Alka Gautam, Young-Dong Lee, Wan-Young Chung
2007 J jnl
J. Inform. and Commun. Convergence Engineering
Sachin Bhardwaj, Dae-Seok Lee, Wan-Young Chung
2007 J jnl
J. Inform. and Commun. Convergence Engineering
Sachin Bhardwaj, Dae-Seok Lee, Wan-Young Chung
2007 C conf
BSN
Wan-Young Chung, Gaurav Walia, Young-Dong Lee, Risto Myllylä
2007 J jnl
J. Inform. and Commun. Convergence Engineering
Vinay Kumar Singh, Seung-Chul Lee, Hyotaek Lim, Risto Myllylä, Wan-Young Chung
2006 conf
Wireless and Optical Communications
Wan-Young Chung, Vinay Kumar Singh, Do-Un Jeong, Risto Mylylae, Hyotaek Lim
2006 J jnl
J. Inform. and Commun. Convergence Engineering
Gaurav Walia, Young-Dong Lee, Wan-Young Chung
APK_CODE_ANALYSIS_PDD-Tech_Annex.md
← Index APK_CODE_ANALYSIS_PDD-Tech_Annex.md markdown
# APK Code Analysis — Technical Annex

**Companion to:** APK_CODE_ANALYSIS_PDD.md
**Audience:** Engineers implementing APK code analysis
**Date:** 2026-03-07

---

## Table of Contents

1. [File Structure](#1-file-structure)
2. [System Dependencies Setup](#2-system-dependencies-setup)
3. [Phase 1 — Core Infrastructure](#3-phase-1--core-infrastructure)
4. [Phase 2 — Extractor and Data Export](#4-phase-2--extractor-and-data-export)
5. [Phase 3 — Similarity and Obfuscation](#5-phase-3--similarity-and-obfuscation)
6. [Phase 4 — Integration Testing](#6-phase-4--integration-testing)
7. [ClickHouse Schema](#7-clickhouse-schema)
8. [Androguard API Quick Reference](#8-androguard-api-quick-reference)
9. [Smali Format Reference](#9-smali-format-reference)

---

## SDLC Requirements

**Each phase ends with a quality gate:**

1. All new code has unit tests (mocked externals — no JADX/apktool/Java required)
2. All existing tests pass (`pytest tests/unit/` — must remain at 579+ tests passing)
3. New tests are added to the appropriate test file and documented
4. `TEST_INDEX.md` is updated with new test counts and file descriptions
5. Code passes `flake8`, `pylint`, `black`, `isort` (existing dev tools in `requirements.txt`)
6. Commit only after all tests pass. Move to next phase only after commit.

---

## 1. File Structure

### New files to create:

```
redb/extractors/decompiler/
├── DecompileAPK.py                    # Main extractor (like DecompileBinja.py)
├── apk/
│   ├── __init__.py
│   ├── analyzer.py                    # APKCodeAnalyzer — orchestrates analysis
│   ├── jadx_wrapper.py               # JADXDecompiler — subprocess + output parsing
│   ├── apktool_wrapper.py            # ApktoolDisassembler — subprocess + smali parsing
│   ├── method_extractor.py           # Per-method content extraction and hashing
│   ├── library_filter.py             # Package-based library filtering
│   └── smali_parser.py               # Smali file parsing — method boundary detection

tests/unit/
├── test_apk_code_analyzer.py          # Analyzer, library filtering, method enumeration
├── test_apk_jadx_wrapper.py           # JADX subprocess, output parsing, timeouts
├── test_apk_apktool_wrapper.py        # Apktool subprocess, smali parsing, timeouts
├── test_apk_method_extractor.py       # Hashing, content extraction, similarity
├── test_apk_decompile_extractor.py    # DecompileAPK extractor, export, schema

docs/
└── apk-code-schema.md                 # ClickHouse table definitions (like new-code-binja-schema.md)
```

### Files to modify:

```
redb/extractors/enum.py               # Add APK_DECOMPILED tag
redb/models/dataclasses.py            # Add APK code analysis dataclasses
redb/workers.py                        # Wire up DecompileAPK in APK dispatch
tests/TEST_INDEX.md                    # Update test inventory
```

---

## 2. System Dependencies Setup

### JADX Installation

```bash
# Option 1: Download from GitHub releases
wget https://github.com/skylot/jadx/releases/download/v1.5.5/jadx-1.5.5.zip
unzip jadx-1.5.5.zip -d /opt/jadx
ln -s /opt/jadx/bin/jadx /usr/local/bin/jadx

# Option 2: Package manager (if available)
# apt install jadx  OR  brew install jadx

# Verify
jadx --version
```

### apktool Installation

```bash
# Download wrapper script + jar
wget https://raw.githubusercontent.com/iBotPeaches/Apktool/master/scripts/linux/apktool
wget https://github.com/iBotPeaches/Apktool/releases/download/v2.12.0/apktool_2.12.0.jar
mv apktool_2.12.0.jar /usr/local/bin/apktool.jar
mv apktool /usr/local/bin/apktool
chmod +x /usr/local/bin/apktool

# Verify
apktool --version
```

### Java Runtime

```bash
apt install openjdk-17-jre-headless
java -version
```

### Docker considerations

If running in Docker, add to Dockerfile:

```dockerfile
RUN apt-get update && apt-get install -y openjdk-17-jre-headless
# Then install jadx and apktool as above
```

---

## 3. Phase 1 — Core Infrastructure

### Task 1.1: Library Filter (`library_filter.py`)

**What to build:** A class that determines whether a method belongs to a known library/framework package and should be filtered out of content tables.

**Behavior:**
- Accept a list of package prefixes (default list in PDD §2.3)
- Configurable via `APK_LIBRARY_PREFIXES` environment variable (comma-separated)
- Method `is_library(class_name: str) -> bool` — returns True if class_name starts with any filter prefix
- Method `get_filter_stats() -> dict` — returns counts of filtered vs. retained classes (for logging)

**Reference pattern:** Similar to `is_lib_or_thunk()` in `redb/extractors/decompiler/bninja/decompiler.py` (module-level function that checks `symbol.type` against `SymbolType.LibraryFunctionSymbol`, etc.)

**Tests:** Unit tests with various class names, custom prefix lists, env var override.

---

### Task 1.2: Smali Parser (`smali_parser.py`)

**What to build:** Parser that reads apktool's smali output files and extracts individual method bodies.

**apktool output structure:**
```
<tmpdir>/smali/com/example/MyClass.smali
```

Each `.smali` file contains one class with all its methods. Method boundaries are delimited by:
```smali
.method public onCreate(Landroid/os/Bundle;)V
    .registers 4
    .param p1, "savedInstanceState"

    invoke-super {p0, p1}, Landroid/app/Activity;->onCreate(Landroid/os/Bundle;)V
    const/high16 v0, 0x7f090000
    invoke-virtual {p0, v0}, Lcom/example/MyClass;->setContentView(I)V
    return-void
.end method
```

**Methods to implement:**
- `parse_smali_file(filepath: str) -> List[SmaliMethod]` — Returns list of `(class_name, method_name, method_signature, method_body, instruction_count, register_count)`
- `parse_smali_directory(dirpath: str) -> Dict[str, SmaliMethod]` — Parses all `.smali` files, returns dict keyed by `class_name->method_name(signature)`
- `normalize_smali_body(body: str) -> str` — Strip comments, normalize whitespace, remove line numbers (`.line N` directives) for consistent hashing
- `count_instructions(body: str) -> int` — Count actual Dalvik instructions (skip directives like `.registers`, `.param`, `.line`, `.local`, `.annotation`)

**Key parsing rules:**
- Method starts with `.method` line, ends with `.end method`
- Access modifiers: `public`, `private`, `protected`, `static`, `final`, `abstract`, `native`
- Skip `abstract` and `native` methods (no body)
- Dalvik instructions start with a verb: `invoke-*`, `const*`, `move*`, `if-*`, `goto*`, `return*`, `new-*`, `iget*`, `iput*`, `sget*`, `sput*`, `aget*`, `aput*`, etc.
- Directives start with `.` — these are metadata, not instructions

**Tests:** Parse sample smali files, verify method boundaries, instruction counts, normalization.

---

### Task 1.3: JADX Wrapper (`jadx_wrapper.py`)

**What to build:** Subprocess wrapper for JADX decompilation, following the CAPA extractor pattern.

**Reference implementation:** `redb/extractors/capa.py` — uses `subprocess.Popen` with process group management and timeout escalation (SIGTERM → wait 3s → SIGKILL).

**Methods to implement:**
- `__init__(jadx_path, timeout, log)` — Configure from env vars `JADX_PATH` and `JADX_TIMEOUT`
- `decompile(apk_path: str, output_dir: str) -> bool` — Run JADX, return success/failure
- `parse_java_methods(output_dir: str) -> Dict[str, str]` — Parse JADX output into per-method Java source, keyed by `class_name.method_name(param_types)`
- `cleanup(output_dir: str)` — Remove temp directory

**JADX command:**
```bash
jadx --no-res --no-imports --threads-count 2 --output-dir <tmpdir>/jadx <apk_path>
```

**Output structure from JADX:**
```
<tmpdir>/jadx/sources/com/example/MyClass.java
```

Each `.java` file contains one class. Methods must be extracted by parsing Java source (find method signatures via regex or simple brace-counting parser).

**Java method extraction approach:**
- Use regex to find method declarations: `(public|private|protected|static|...)*\s+\w+\s+\w+\s*\([^)]*\)\s*\{`
- Track brace depth to find method end
- Key each method by `fully.qualified.ClassName.methodName(ParamType1, ParamType2)`
- Normalize: strip leading/trailing whitespace, normalize indentation

**Tests:** Mock subprocess, test output parsing with sample Java files, test timeout handling, test error recovery.

---

### Task 1.4: Apktool Wrapper (`apktool_wrapper.py`)

**What to build:** Subprocess wrapper for apktool disassembly, same pattern as JADX wrapper.

**Methods to implement:**
- `__init__(apktool_path, timeout, log)` — Configure from env vars `APKTOOL_PATH` and `APKTOOL_TIMEOUT`
- `disassemble(apk_path: str, output_dir: str) -> bool` — Run apktool, return success/failure
- `get_smali_directory(output_dir: str) -> str` — Return path to smali output (handles multi-dex: `smali/`, `smali_classes2/`, `smali_classes3/`, etc.)
- `cleanup(output_dir: str)` — Remove temp directory

**apktool command:**
```bash
apktool d --no-res --force --output <tmpdir>/apktool <apk_path>
```

**Multi-DEX handling:** apktool creates `smali/` for `classes.dex`, `smali_classes2/` for `classes2.dex`, etc. The wrapper must iterate all `smali*` directories.

**Tests:** Mock subprocess, test multi-dex directory detection, test timeout handling.

---

### Task 1.5: APK Code Analyzer (`analyzer.py`)

**What to build:** Orchestrator that combines androguard, JADX, and apktool into a single analysis engine. This is the APK equivalent of `BinaryNinjaDecompiler` in `redb/extractors/decompiler/bninja/decompiler.py`.

**Constructor:**
- `__init__(filepath, timeout, log, decompile_modules={"all"})` — Same module selection pattern as `BinaryNinjaDecompiler`

**Main method — `extract() -> dict`:**

1. Create temp directories for JADX and apktool output
2. Run JADX and apktool in parallel (use `concurrent.futures.ThreadPoolExecutor` with 2 workers)
3. While JADX/apktool run, start androguard analysis: `AnalyzeAPK(filepath)` → get `(apk, dexs, analysis)`
4. Wait for JADX and apktool to complete
5. Parse smali output → `Dict[method_key, SmaliMethod]`
6. Parse Java output → `Dict[method_key, str]`
7. Get method list from androguard `analysis.get_methods()`
8. For each method from androguard:
   a. Check if library → skip content if yes (but keep in xref arrays)
   b. Look up smali body from parsed smali output
   c. Look up Java source from parsed Java output
   d. Get xrefs: `method.get_xref_from()` (callers) and `method.get_xref_to()` (callees)
   e. Compute hashes (SHA-256 of normalized smali, SHA-256 of normalized Java)
   f. Apply minimum instruction filter (`APK_MIN_METHOD_INSTRUCTIONS`, default 5)
   g. Build content and reference records
9. Return results dict with keys: `decompiled_content`, `decompiled_refs`, `smali_content`, `smali_refs`, `similarity_metrics`, `analysis_errors`

**Method key matching:**
The critical challenge is matching methods across three tools that use different naming conventions:
- **Androguard:** `Lcom/example/MyClass;->onCreate(Landroid/os/Bundle;)V` (Dalvik descriptor format)
- **Smali (apktool):** Same Dalvik descriptor format (same as androguard)
- **Java (JADX):** `com.example.MyClass.onCreate(Bundle)` (Java format)

Build a `method_key_converter` utility that normalizes between these formats:
- `dalvik_to_java(descriptor: str) -> str` — Convert `Lcom/example/MyClass;->onCreate(Landroid/os/Bundle;)V` to `com.example.MyClass.onCreate(Bundle)`
- `java_to_dalvik(java_sig: str) -> str` — Reverse mapping (may not be needed)

**Reference pattern:** Study `BinaryNinjaDecompiler.analyze_binary()` in `redb/extractors/decompiler/bninja/decompiler.py` — it follows the same per-function loop with content extraction, hash computation, and cross-linking.

**Tests:** Mock all three tools, test method key matching, test library filtering integration, test parallel execution, test error handling when one tool fails.

---

### Phase 1 Quality Gate

After completing Tasks 1.11.5:

```bash
# Run all existing tests — must pass
pytest tests/unit/ -v

# Run new tests
pytest tests/unit/test_apk_code_analyzer.py tests/unit/test_apk_jadx_wrapper.py \
       tests/unit/test_apk_apktool_wrapper.py -v

# Linting
black redb/extractors/decompiler/apk/ tests/unit/test_apk_*.py
isort redb/extractors/decompiler/apk/ tests/unit/test_apk_*.py
flake8 redb/extractors/decompiler/apk/
```

Update `TEST_INDEX.md` with new test file entries. Commit.

---

## 4. Phase 2 — Extractor and Data Export

### Task 2.1: Tag Enum Update

**File:** `redb/extractors/enum.py`

Add after the existing APK tags:

```python
APK_DECOMPILED = "apk_decompiled"
```

---

### Task 2.2: Dataclasses

**File:** `redb/models/dataclasses.py`

Add the 6 dataclasses defined in PDD §4.1:
- `APKDecompiledMethodContent`
- `APKDecompiledMethodReference`
- `APKSmaliMethodContent`
- `APKSmaliMethodReference`
- `APKMethodSimilarityMetrics`
- `APKCodeAnalysisError`

Follow the exact style of existing dataclasses in the file. Use `Optional` for nullable fields, `field(default_factory=list)` for list defaults.

---

### Task 2.3: DecompileAPK Extractor (`DecompileAPK.py`)

**What to build:** The main extractor class, following `DecompileBinja.py` exactly.

**File:** `redb/extractors/decompiler/DecompileAPK.py`

**Pattern to follow (from `DecompileBinja.py`):**
- Extends `Extractor` directly
- Constructor: filepath, log, exporters, index_prefix, filetype
- Timeouts from env vars: `APK_DECOMPILE_TIMEOUT` (default 1800s)
- `extract()`: Run `APKCodeAnalyzer` in a daemon thread with timeout (same pattern as DecompileBinja)
- `tag()`: Return `Tag.APK_DECOMPILED.value`
- `prepare_export_data()`: Build `multi_table` dict for ClickHouse export
- `cleanup_run()`: Remove temp directories, force GC
- `get_clickhouse_table()`: Return `None` (multi-table export, no single table)

**Multi-table export structure** (from `prepare_export_data` — follow the exact pattern in `DecompileBinja.prepare_export_data()`):

```python
export_data = {"multi_table": True}

# Table 1: Decompiled method content
if self.analysis_results.get("decompiled_content"):
    export_data["code_apk_decompiled_methods_content"] = {
        "data": [...],
        "column_names": [...],
        "column_type_names": [...]
    }

# Table 2: Decompiled method references
# Table 3: Smali method content
# Table 4: Smali method references
# Table 5: Similarity metrics
# Table 6: Analysis errors
```

**Column names and types** must match the ClickHouse schema in §7. Study `DecompileBinja.prepare_export_data()` for the exact tuple format.

---

### Task 2.4: ClickHouse Schema Functions

**File:** `docs/apk-code-schema.md`

Create table creation functions following `docs/new-code-binja-schema.md` pattern. Full schema in §7 below.

---

### Task 2.5: Workers Integration

**File:** `redb/workers.py`

In the APK processing section (search for `apk` filetype handling), add `DecompileAPK` after the existing APK extractors.

Follow the same conditional pattern used for `DecompileBinja`:
- Check if module is selected
- Instantiate with filepath, logger, exporters
- Call `export_data()`

Also update `get_module_by_name()` to register `"DecompileAPK"` in the modules map.

---

### Phase 2 Quality Gate

```bash
pytest tests/unit/ -v                          # All existing + new tests pass
pytest tests/unit/test_apk_decompile_extractor.py -v   # New extractor tests
pytest tests/unit/test_apk_dataclasses.py -v           # Updated dataclass tests
```

Update `TEST_INDEX.md`. Commit.

---

## 5. Phase 3 — Similarity and Obfuscation

### Task 3.1: Method-Level Similarity Hashes

**File:** Extend `method_extractor.py`

Compute for each user method's smali body:
- **ssdeep** — Use `ppdeep` (already in requirements): `ppdeep.hash(smali_body.encode())`
- **TLSH** — Use `tlsh` (already in requirements): `tlsh.hash(smali_body.encode())`
- **MinHash** — Use existing `MinHashCustom` from `redb/extractors/decompiler/bninja/similarity.py`. Generate n-grams from smali instructions, compute MinHash signature.

**Reference:** Study `BinaryNinjaDecompiler.analyze_binary()` where it computes `ssdeep_disassembly`, `tlsh_disassembly`, and calls `MinHasher`.

**Minimum size for fuzzy hashes:** ssdeep and TLSH both require minimum input sizes. Skip if smali body is too short (ssdeep < 4096 bytes returns empty, TLSH < 50 bytes returns empty).

---

### Task 3.2: Obfuscation Indicators (per method)

**File:** Extend `method_extractor.py`

For each method's smali body, compute:
- `short_method_name`: method name length <= 2
- `short_class_name`: class simple name (after last `/`) length <= 2
- `has_string_encryption`: presence of `const-string` followed within 3 instructions by `invoke-*` to known decryptor patterns
- `has_reflection_calls`: presence of `invoke-*` targeting `Ljava/lang/reflect/*` or `Ljava/lang/Class;->forName`
- `excessive_goto_count`: count of `goto` / `goto/16` / `goto/32` instructions exceeds `max(5, instruction_count * 0.15)`

---

### Task 3.3: Populate Similarity Metrics Table

Extend `APKCodeAnalyzer.extract()` to populate the `similarity_metrics` results key with `APKMethodSimilarityMetrics` records.

---

### Phase 3 Quality Gate

```bash
pytest tests/unit/ -v
pytest tests/unit/test_apk_method_extractor.py -v   # Hashing + obfuscation tests
```

Update `TEST_INDEX.md`. Commit.

---

## 6. Phase 4 — Integration Testing

### Task 4.1: Integration Test Suite

**File:** `tests/integration/test_apk_code_analysis.py`

**Requirements:** JADX, apktool, and Java must be installed.

**Test cases:**
1. **Simple APK** — Known benign APK with 5-10 user classes. Verify: methods extracted, smali and Java content populated, xrefs present, hashes computed.
2. **Multi-DEX APK** — APK with `classes.dex` + `classes2.dex`. Verify: methods from both DEX files analyzed, cross-DEX xrefs work.
3. **Obfuscated APK** — ProGuard/R8 obfuscated APK. Verify: short name indicators detected, library filter still works on renamed packages.
4. **Empty DEX** — APK with only framework calls, no user code after filtering. Verify: extractor returns gracefully with zero methods.
5. **Packed APK** — APK with encrypted DEX (e.g., Qihoo 360). Verify: error logged, no crash, analysis_errors table populated.
6. **JADX failure** — Simulate JADX timeout/crash. Verify: smali analysis still completes, decompiled content tables empty, error logged.
7. **apktool failure** — Same for apktool. Verify: Java analysis still completes.
8. **Large APK** — APK with 1000+ user methods. Verify: completes within timeout, memory stays bounded.

**Markers:**
```python
@pytest.mark.integration
@pytest.mark.apk
@pytest.mark.decompile
```

---

### Task 4.2: Performance Profiling

Run the integration tests with timing:
```bash
pytest tests/integration/test_apk_code_analysis.py -v --durations=0
```

Verify:
- apktool + JADX subprocess total < 60s for a typical APK
- Androguard analysis < 30s for a typical APK
- Per-method processing < 5ms
- Total pipeline < `APK_DECOMPILE_TIMEOUT` (1800s) for even the largest APKs

---

### Task 4.3: Final TEST_INDEX.md Update

Add all new test files, update counts, add integration test descriptions.

Final commit.

---

## 7. ClickHouse Schema

All tables follow the `ReplacingMergeTree(analysis_date)` pattern from `docs/new-code-binja-schema.md`,
except `code_apk_analysis_errors` which uses `MergeTree()`.

Full DDL is also available in `docs/apk-code-schema.md`.

### Table overview

| # | Table | Analog (Binja) | Engine | Key |
|---|-------|----------------|--------|-----|
| 1 | `code_apk_decompiled_methods_content` | `code_binja_decompiled_functions_content` | ReplacingMergeTree | `decompiled_method_hash` |
| 2 | `code_apk_decompiled_methods_references` | `code_binja_decompiled_functions_references` | ReplacingMergeTree | `(sha256, decompiled_method_hash)` |
| 3 | `code_apk_smali_methods_content` | `code_binja_disassembled_functions_content` | ReplacingMergeTree | `smali_method_hash` |
| 4 | `code_apk_smali_methods_references` | `code_binja_disassembled_functions_references` | ReplacingMergeTree | `(sha256, smali_method_hash)` |
| 5 | `code_apk_method_similarity_metrics` | `code_binja_function_similarity_metrics` | ReplacingMergeTree | `smali_method_hash` |
| 6 | `code_apk_cfg_methods` | `code_binja_cfg_functions` | ReplacingMergeTree | `smali_method_hash` |
| 7 | `code_binja_strings_raw` *(shared)* | — | Null (→ MV) | — |
| 8 | `code_apk_analysis_errors` | `function_analysis_errors_binja` | MergeTree | `(sha256, error_location, error_hash)` |

### Table 1: `code_apk_decompiled_methods_content`

**Analog:** `code_binja_decompiled_functions_content`

```sql
CREATE TABLE IF NOT EXISTS code_apk_decompiled_methods_content (
    decompiled_method_hash FixedString(64),          -- SHA-256 of normalized Java source
    decompiled_method String CODEC(ZSTD(3)),          -- Full Java method source
    decompiled_method_lower String MATERIALIZED lower(decompiled_method) CODEC(ZSTD(3)),
    method_type Enum8('USER'=1, 'LIBRARY'=2, 'UNKNOWN'=5) DEFAULT 'UNKNOWN',
    has_string_encryption UInt8 DEFAULT 0,
    has_reflection_calls UInt8 DEFAULT 0,
    excessive_goto_count UInt8 DEFAULT 0,
    analysis_date DateTime64(3, 'UTC'),

    INDEX idx_method_content_token lower(decompiled_method) TYPE tokenbf_v1(32768, 3, 0) GRANULARITY 1,
    INDEX idx_method_hash decompiled_method_hash TYPE bloom_filter GRANULARITY 1
) ENGINE = ReplacingMergeTree(analysis_date)
PRIMARY KEY decompiled_method_hash
ORDER BY decompiled_method_hash;
```

### Table 2: `code_apk_decompiled_methods_references`

**Analog:** `code_binja_decompiled_functions_references`

```sql
CREATE TABLE IF NOT EXISTS code_apk_decompiled_methods_references (
    sha256 FixedString(64),
    sha1 FixedString(40),
    md5 FixedString(32),
    decompiled_method_hash FixedString(64),
    smali_method_hash Nullable(FixedString(64)),
    class_name LowCardinality(String),
    method_name LowCardinality(String),
    method_signature String,                          -- Dalvik descriptor: (Landroid/os/Bundle;)V
    method_prototype String,                          -- Java-style: void onCreate(Bundle)
    functions_caller Array(String),
    functions_call Array(String),
    analysis_date DateTime64(3, 'UTC'),

    INDEX idx_sha256 sha256 TYPE bloom_filter GRANULARITY 1,
    INDEX idx_method_hash decompiled_method_hash TYPE bloom_filter GRANULARITY 1,
    INDEX idx_class_name class_name TYPE tokenbf_v1(32768, 3, 0) GRANULARITY 1,
    INDEX idx_method_name method_name TYPE tokenbf_v1(32768, 3, 0) GRANULARITY 1
) ENGINE = ReplacingMergeTree(analysis_date)
ORDER BY (sha256, decompiled_method_hash);
```

### Table 3: `code_apk_smali_methods_content`

**Analog:** `code_binja_disassembled_functions_content`

```sql
CREATE TABLE IF NOT EXISTS code_apk_smali_methods_content (
    smali_method_hash FixedString(64),                -- SHA-256 of normalized smali body
    smali_method String CODEC(ZSTD(3)),               -- Full smali method body
    method_type Enum8('USER'=1, 'LIBRARY'=2, 'UNKNOWN'=5) DEFAULT 'UNKNOWN',
    instructions_count UInt32,
    register_count UInt16,
    has_string_encryption UInt8 DEFAULT 0,
    has_reflection_calls UInt8 DEFAULT 0,
    excessive_goto_count UInt8 DEFAULT 0,
    analysis_date DateTime64(3, 'UTC'),

    INDEX idx_smali_ngram smali_method TYPE ngrambf_v1(3, 32768, 3, 0) GRANULARITY 1,
    INDEX idx_method_type method_type TYPE set(10) GRANULARITY 1,
    INDEX idx_instr_count instructions_count TYPE minmax GRANULARITY 4
) ENGINE = ReplacingMergeTree(analysis_date)
ORDER BY smali_method_hash;
```

### Table 4: `code_apk_smali_methods_references`

**Analog:** `code_binja_disassembled_functions_references`

```sql
CREATE TABLE IF NOT EXISTS code_apk_smali_methods_references (
    sha256 FixedString(64),
    sha1 FixedString(40),
    md5 FixedString(32),
    smali_method_hash FixedString(64),
    decompiled_method_hash Nullable(FixedString(64)),
    class_name LowCardinality(String),
    method_name LowCardinality(String),
    method_signature String,
    ssdeep_smali Nullable(String),
    tlsh_smali Nullable(FixedString(72)),
    analysis_date DateTime64(3, 'UTC'),

    INDEX idx_sha256 sha256 TYPE bloom_filter GRANULARITY 1,
    INDEX idx_smali_hash smali_method_hash TYPE bloom_filter GRANULARITY 1,
    INDEX idx_tlsh_smali tlsh_smali TYPE bloom_filter GRANULARITY 1,
    INDEX idx_ssdeep_smali ssdeep_smali TYPE bloom_filter GRANULARITY 1
) ENGINE = ReplacingMergeTree(analysis_date)
ORDER BY (sha256, smali_method_hash);
```

### Table 5: `code_apk_method_similarity_metrics`

**Analog:** `code_binja_function_similarity_metrics`

Content-based fuzzy matching table. Structural/CFG scalars (block_count, edge_count, etc.)
are in `code_apk_cfg_methods` (Table 6) — this table holds only fuzzy hashes and MinHash.

```sql
CREATE TABLE IF NOT EXISTS code_apk_method_similarity_metrics (
    smali_method_hash FixedString(64),
    cyclomatic_complexity Nullable(UInt16),
    ssdeep_smali Nullable(String),
    tlsh_smali Nullable(FixedString(72)),
    minhash Array(UInt8),
    analysis_date DateTime64(3, 'UTC'),

    INDEX idx_complexity cyclomatic_complexity TYPE minmax GRANULARITY 4,
    INDEX idx_ssdeep ssdeep_smali TYPE bloom_filter GRANULARITY 1,
    INDEX idx_tlsh tlsh_smali TYPE bloom_filter GRANULARITY 1
) ENGINE = ReplacingMergeTree(analysis_date)
ORDER BY smali_method_hash;
```

### Table 6: `code_apk_cfg_methods`

**Analog:** `code_binja_cfg_functions` (see `db_migration/cfg_functions_ddl.sql`)

Structural and topological features computed from smali CFG. All fields mirror
the Binja table with APK-appropriate naming (`smali_method_hash` instead of
`disassembled_function_hash`, `instructions_count` instead of `llil_total_operations`,
`prime_product_smali` instead of `prime_product_llil`).

```sql
CREATE TABLE IF NOT EXISTS code_apk_cfg_methods (
    -- Identity
    smali_method_hash FixedString(64),

    -- Tier 0: Exact structural match
    cfg_topology_hash FixedString(16),

    -- Tier 1: Structural pre-filtering
    block_count UInt16,
    edge_count UInt16,
    instructions_count UInt32,               -- Dalvik instruction count (analog: llil_total_operations)
    call_count UInt16,
    cyclomatic_complexity UInt16,
    loop_count UInt8,
    max_depth UInt16,
    max_fan_out UInt8,
    md_index_topdown UInt64,
    md_index_bottomup UInt64,
    prime_product_smali UInt64,              -- Dalvik semantic primes (analog: prime_product_llil)

    -- Tier 2: Fuzzy matching
    cfg_feature_tlsh Nullable(FixedString(72)),
    wl_minhash Array(UInt8),

    -- Embedding-ready storage
    bb_features Array(Array(UInt16)),        -- ACFG block feature vectors
    cfg_adjacency Array(UInt32),             -- Packed (src << 16 | tgt)

    analysis_date DateTime64(3, 'UTC'),

    -- Indexes
    INDEX idx_topology cfg_topology_hash TYPE bloom_filter GRANULARITY 1,
    INDEX idx_complexity cyclomatic_complexity TYPE minmax GRANULARITY 4,
    INDEX idx_block_count block_count TYPE minmax GRANULARITY 4,
    INDEX idx_edge_count edge_count TYPE minmax GRANULARITY 4,
    INDEX idx_call_count call_count TYPE minmax GRANULARITY 4,
    INDEX idx_instr_count instructions_count TYPE minmax GRANULARITY 4,
    INDEX idx_md_topdown md_index_topdown TYPE bloom_filter GRANULARITY 1,
    INDEX idx_md_bottomup md_index_bottomup TYPE bloom_filter GRANULARITY 1,
    INDEX idx_prime prime_product_smali TYPE bloom_filter GRANULARITY 1,
    INDEX idx_cfg_tlsh cfg_feature_tlsh TYPE bloom_filter GRANULARITY 1
) ENGINE = ReplacingMergeTree(analysis_date)
ORDER BY smali_method_hash
SETTINGS index_granularity = 8192;
```

**Column mapping (APK → Binja):**

| APK column | Binja column | Notes |
|------------|-------------|-------|
| `smali_method_hash` | `disassembled_function_hash` | Both SHA-256 of normalized code |
| `instructions_count` | `llil_total_operations` | Dalvik instructions vs LLIL operations |
| `prime_product_smali` | `prime_product_llil` | Same prime algorithm, Dalvik semantic categories |
| All others | Same name | Identical algorithms from shared `cfg_features.py` |

### Table 7: `code_binja_strings_raw` (shared)

APK strings are inserted into the existing `code_binja_strings_raw` Null-engine table,
which feeds materialized views (`code_binja_strings_by_binary`, `mv_string_popularity_public`).
This enables cross-format string correlation between PE/ELF/Mach-O/APK samples.

No new table creation needed — see `docs/new-code-binja-schema.md` for the existing DDL.

### Table 8: `code_apk_analysis_errors`

**Analog:** `function_analysis_errors_binja`

```sql
CREATE TABLE IF NOT EXISTS code_apk_analysis_errors (
    sha256 FixedString(64),
    class_name Nullable(String) CODEC(ZSTD(3)),
    method_name Nullable(String) CODEC(ZSTD(3)),
    error_location LowCardinality(String) CODEC(ZSTD(3)),   -- 'jadx', 'apktool', 'androguard', 'analysis'
    error_message Nullable(String) CODEC(ZSTD(3)),
    error_type Nullable(String) CODEC(ZSTD(3)),
    error_hash FixedString(32),                               -- MD5 for dedup
    status Enum8('new' = 1, 'investigating' = 2, 'fixed' = 3, 'wontfix' = 4) DEFAULT 'new',
    analysis_date DateTime64(3, 'UTC'),
    PRIMARY KEY (sha256, error_location, error_hash)
) ENGINE = MergeTree()
ORDER BY (sha256, error_location, error_hash);
```

---

## 8. Androguard API Quick Reference

Key API calls used by `APKCodeAnalyzer`:

```python
from androguard.misc import AnalyzeAPK

# Parse APK — returns (APK object, list of DEX objects, Analysis object)
apk, dexs, analysis = AnalyzeAPK("sample.apk")

# Enumerate all methods
for method in analysis.get_methods():
    # method is a MethodAnalysis object

    # Check if it's an external method (no code body)
    if method.is_external():
        continue

    # Get the underlying EncodedMethod
    encoded = method.get_method()
    class_name = encoded.get_class_name()    # "Lcom/example/MyClass;"
    method_name = encoded.get_name()          # "onCreate"
    descriptor = encoded.get_descriptor()     # "(Landroid/os/Bundle;)V"

    # Cross-references: who calls this method
    for ref_class, ref_method, offset in method.get_xref_from():
        caller = f"{ref_method.get_class_name()}->{ref_method.get_name()}"

    # Cross-references: what this method calls
    for ref_class, ref_method, offset in method.get_xref_to():
        callee = f"{ref_method.get_class_name()}->{ref_method.get_name()}"

# Call graph (networkx MultiDiGraph)
call_graph = analysis.get_call_graph()
# Nodes are MethodAnalysis objects
# Edges represent caller → callee relationships
```

**Important notes:**
- `AnalyzeAPK()` loads ALL DEX files (handles multi-DEX automatically)
- `is_external()` returns True for methods declared but not defined (framework methods)
- `get_xref_from()` and `get_xref_to()` return tuples of `(ClassAnalysis, MethodAnalysis, int_offset)`
- The Analysis object is the single source of truth for method enumeration and xrefs

---

## 9. Smali Format Reference

### Method declaration syntax

```smali
.method <access_flags> <name>(<param_descriptors>)<return_type>
    .registers <N>              # Total register count
    .param p1, "paramName"      # Parameter name (debug info, may be missing)
    .line <N>                   # Source line number (debug info)

    # Instructions (Dalvik opcodes)
    invoke-virtual {p0, v0}, Lcom/example/Foo;->bar(I)V
    const-string v1, "hello"
    if-eqz v0, :cond_0
    goto :goto_0

    :cond_0                     # Label
    return-void
.end method
```

### Type descriptors

| Descriptor | Java Type |
|-----------|-----------|
| `V` | void |
| `Z` | boolean |
| `B` | byte |
| `I` | int |
| `J` | long |
| `F` | float |
| `D` | double |
| `Lcom/example/Foo;` | com.example.Foo |
| `[I` | int[] |
| `[Ljava/lang/String;` | String[] |

### Instructions to count (not directives)

All lines that are NOT labels (`:label_N`) and NOT directives (`.something`) are instructions. Common instruction prefixes:
`invoke-*`, `const*`, `move*`, `return*`, `if-*`, `goto*`, `new-*`, `iget*`, `iput*`, `sget*`, `sput*`, `aget*`, `aput*`, `check-cast`, `instance-of`, `throw`, `monitor-*`, `fill-*`, `packed-switch`, `sparse-switch`, `cmp*`, `add-*`, `sub-*`, `mul-*`, `div-*`, `rem-*`, `and-*`, `or-*`, `xor-*`, `shl-*`, `shr-*`, `ushr-*`, `neg-*`, `not-*`, `int-to-*`, `long-to-*`, `float-to-*`, `double-to-*`, `array-length`, `nop`

---

## Appendix A — Phase 5: CFG Feature Parity with Binary Ninja Pipeline

**Date:** 2026-03-13
**Depends on:** Phases 13 complete
**Reference:** APK_CODE_ANALYSIS_PDD.md, Appendix A

This appendix provides the implementation details for adding a dedicated `code_apk_cfg_methods` table and refactoring `code_apk_method_similarity_metrics` to match the Binja pipeline's separation of concerns.

---

### A.1 Rationale

The existing `smali_cfg.py` already builds full adjacency lists and computes per-block ACFG feature vectors, but this data is either reduced to scalars (block_count, edge_count, etc.) or silently dropped (bb_features). Meanwhile, `cfg_features.py` contains generic graph algorithms (topology hash, MD-index, WL-MinHash, etc.) that operate on adjacency lists — they have no Binary Ninja dependency. Connecting these two modules requires minimal glue code.

---

### A.2 File Changes

#### Modified files:

```
redb/extractors/decompiler/apk/smali_cfg.py       # Add predecessors, wire cfg_features
redb/extractors/decompiler/apk/method_extractor.py # Add call_count, prime_product_smali
redb/extractors/decompiler/apk/analyzer.py         # Populate new CFG fields in results
redb/extractors/decompiler/DecompileAPK.py         # New table export, slim similarity table
docs/apk-code-schema.md                            # Add code_apk_cfg_methods schema
tests/unit/test_apk_method_extractor.py            # Tests for new fields
```

#### No new files needed.

---

### A.3 Task A.1: Extend `smali_cfg.py`

**A.1.1 — Build predecessors from successors**

Add to `compute_cfg_metrics()`, after the adjacency list is built:

```python
predecessors = [[] for _ in range(n)]
for src, targets in enumerate(successors):
    for tgt in targets:
        predecessors[tgt].append(src)
```

**A.1.2 — Compute advanced CFG features**

Import and call `cfg_features.py` functions after building the graph:

```python
from redb.extractors.decompiler.bninja.analysis import cfg_features

bfs = cfg_features.bfs_order(successors, n)
topology_hash = cfg_features.compute_topology_hash(successors, bfs, n)
md_topdown = cfg_features.compute_md_index_topdown(successors, predecessors, bfs)
md_bottomup = cfg_features.compute_md_index_bottomup(successors, predecessors, n)
cfg_tlsh = cfg_features.compute_cfg_feature_tlsh(block_features, bfs)
wl_minhash = cfg_features.compute_wl_minhash(successors, predecessors, block_features, n)
adjacency = cfg_features.pack_adjacency(successors)
```

**A.1.3 — Extend `SmaliCFGMetrics` dataclass**

Add fields to the existing dataclass:

```python
@dataclass
class SmaliCFGMetrics:
    # Existing fields (unchanged)
    block_count: int = 0
    edge_count: int = 0
    cyclomatic_complexity: int = 1
    loop_count: int = 0
    max_depth: int = 0
    max_fan_out: int = 0
    block_features: List[List[int]] = field(default_factory=list)

    # New fields
    cfg_topology_hash: bytes = field(default_factory=lambda: b'\x00' * 16)
    md_index_topdown: int = 0
    md_index_bottomup: int = 0
    cfg_feature_tlsh: Optional[str] = None
    wl_minhash: List[int] = field(default_factory=lambda: [255] * 128)
    cfg_adjacency: List[int] = field(default_factory=list)
```

---

### A.4 Task A.2: Smali Prime Product (`method_extractor.py`)

Define a Dalvik-to-prime mapping using the semantic categories already in `smali_normalization.py`. Each category maps to the same prime its LLIL equivalent uses in `cfg_features.py`:

```python
SMALI_OP_PRIMES = {
    "ALU":    37,   # ADD/SUB → same prime as LLIL_ADD
    "CONV":   131,  # Type conversions → same as LLIL_SX
    "CMP":    103,  # Comparisons → same as LLIL_CMP_E
    "MOV":    2,    # Register moves → same as LLIL_SET_REG
    "CONST":  2,    # Constants → SET_REG equivalent
    "LOAD":   5,    # Field/array reads → same as LLIL_LOAD
    "STORE":  7,    # Field/array writes → same as LLIL_STORE
    "CALL":   17,   # invoke-* → same as LLIL_CALL
    "BRANCH": 29,   # if-* → same as LLIL_IF
    "JMP":    31,   # goto → same as LLIL_GOTO
    "SWITCH": 151,  # switch → same as LLIL_JUMP_TO
    "RET":    23,   # return → same as LLIL_RET
    "ALLOC":  5,    # new-instance/new-array → LOAD-adjacent (heap access)
    "TYPE":   1,    # check-cast/instance-of → identity (metadata)
    "ARR":    5,    # array-length/fill-array → LOAD-adjacent
    "EXC":    23,   # throw → RET-adjacent (control transfer out)
    "SYNC":   1,    # monitor → identity (no LLIL equivalent)
    "OTHER":  1,    # Unknown → identity
}


def compute_prime_product_smali(smali_body: str) -> int:
    """Multiplicative hash of normalized Dalvik opcodes. Mod 2^64."""
    product = 1
    for line in smali_body.splitlines():
        stripped = line.strip()
        if not stripped or stripped.startswith(('.', ':', '#')):
            continue
        category = classify_instruction(stripped)  # existing function
        prime = SMALI_OP_PRIMES.get(category, 1)
        product = (product * prime) % (2**64)
    return product
```

**`call_count`** — count lines where `classify_instruction()` returns `"CALL"`.

---

### A.5 Task A.3: Populate CFG Results (`analyzer.py`)

In `_process_method()`, after `compute_cfg_metrics()`, add the new fields to the results dict:

```python
cfg_metrics = compute_cfg_metrics(smali_body)

# Build cfg entry (separate from similarity_metrics)
cfg_entry = {
    "smali_method_hash": sha256_smali,
    "cfg_topology_hash": cfg_metrics.cfg_topology_hash,
    "block_count": cfg_metrics.block_count,
    "edge_count": cfg_metrics.edge_count,
    "instructions_count": instruction_count,
    "call_count": call_count,
    "cyclomatic_complexity": cfg_metrics.cyclomatic_complexity,
    "loop_count": cfg_metrics.loop_count,
    "max_depth": cfg_metrics.max_depth,
    "max_fan_out": cfg_metrics.max_fan_out,
    "md_index_topdown": cfg_metrics.md_index_topdown,
    "md_index_bottomup": cfg_metrics.md_index_bottomup,
    "prime_product_smali": prime_product,
    "cfg_feature_tlsh": cfg_metrics.cfg_feature_tlsh,
    "wl_minhash": cfg_metrics.wl_minhash,
    "bb_features": cfg_metrics.block_features,
    "cfg_adjacency": cfg_metrics.cfg_adjacency,
}
```

Add `"cfg"` as a new top-level key in the results dict returned by `extract()`.

---

### A.6 Task A.4: Export Tables (`DecompileAPK.py`)

**New table — `code_apk_cfg_methods`:**

```python
if self.analysis_results.get("cfg"):
    export["cfg_methods"] = {
        "table": "code_apk_cfg_methods",
        "data": [
            [
                cfg["smali_method_hash"],
                cfg["cfg_topology_hash"],
                cfg["block_count"],
                cfg["edge_count"],
                cfg.get("instructions_count", 0),
                cfg.get("call_count", 0),
                cfg["cyclomatic_complexity"],
                cfg.get("loop_count", 0),
                cfg.get("max_depth", 0),
                cfg.get("max_fan_out", 0),
                cfg.get("md_index_topdown", 0),
                cfg.get("md_index_bottomup", 0),
                cfg.get("prime_product_smali", 0),
                cfg.get("cfg_feature_tlsh"),
                cfg.get("wl_minhash", []),
                cfg.get("bb_features", []),
                cfg.get("cfg_adjacency", []),
                now,
            ]
            for cfg in self.analysis_results["cfg"]
            if cfg is not None
        ],
        "column_names": [
            "smali_method_hash", "cfg_topology_hash",
            "block_count", "edge_count", "instructions_count",
            "call_count", "cyclomatic_complexity", "loop_count",
            "max_depth", "max_fan_out",
            "md_index_topdown", "md_index_bottomup",
            "prime_product_smali", "cfg_feature_tlsh",
            "wl_minhash", "bb_features", "cfg_adjacency",
            "analysis_date",
        ],
        "column_type_names": [
            "FixedString(64)", "FixedString(16)",
            "UInt16", "UInt16", "UInt32",
            "UInt16", "UInt16", "UInt8",
            "UInt16", "UInt8",
            "UInt64", "UInt64",
            "UInt64", "Nullable(FixedString(72))",
            "Array(UInt8)", "Array(Array(UInt16))", "Array(UInt32)",
            "DateTime64(3, 'UTC')",
        ],
    }
```

**Slim down `code_apk_method_similarity_metrics`** — remove `block_count`, `edge_count`, `loop_count`, `max_depth`, `max_fan_out` from its column lists and data arrays.

---

### A.7 Task A.5: ClickHouse Schema

```sql
CREATE TABLE IF NOT EXISTS code_apk_cfg_methods (
    smali_method_hash FixedString(64),
    cfg_topology_hash FixedString(16),
    block_count UInt16,
    edge_count UInt16,
    instructions_count UInt32,
    call_count UInt16,
    cyclomatic_complexity UInt16,
    loop_count UInt8,
    max_depth UInt16,
    max_fan_out UInt8,
    md_index_topdown UInt64,
    md_index_bottomup UInt64,
    prime_product_smali UInt64,
    cfg_feature_tlsh Nullable(FixedString(72)),
    wl_minhash Array(UInt8),
    bb_features Array(Array(UInt16)),
    cfg_adjacency Array(UInt32),
    analysis_date DateTime64(3, 'UTC'),

    INDEX idx_topology cfg_topology_hash TYPE bloom_filter GRANULARITY 1,
    INDEX idx_complexity cyclomatic_complexity TYPE minmax GRANULARITY 4,
    INDEX idx_block_count block_count TYPE minmax GRANULARITY 4,
    INDEX idx_md_topdown md_index_topdown TYPE bloom_filter GRANULARITY 1,
    INDEX idx_md_bottomup md_index_bottomup TYPE bloom_filter GRANULARITY 1,
    INDEX idx_prime prime_product_smali TYPE bloom_filter GRANULARITY 1,
    INDEX idx_cfg_tlsh cfg_feature_tlsh TYPE bloom_filter GRANULARITY 1
) ENGINE = ReplacingMergeTree(analysis_date)
ORDER BY smali_method_hash;
```

---

### A.8 Task A.6: Tests

Add to `tests/unit/test_apk_method_extractor.py`:

- **`test_predecessors_from_successors`** — verify reverse mapping is correct
- **`test_cfg_topology_hash_identical_graphs`** — two methods with same control flow produce same hash
- **`test_cfg_topology_hash_different_graphs`** — different structure produces different hash
- **`test_md_index_topdown_bottomup`** — verify non-zero values for multi-block methods
- **`test_prime_product_smali`** — known input produces expected product
- **`test_prime_product_smali_position_independent`** — reordering blocks doesn't change result
- **`test_call_count`** — count invoke-* instructions
- **`test_wl_minhash_length`** — verify 128-element signature
- **`test_cfg_feature_tlsh_small_method`** — returns None when < 50 bytes
- **`test_bb_features_exported`** — verify block features appear in results
- **`test_cfg_adjacency_packed`** — verify (src << 16) | tgt encoding
- **`test_similarity_table_slimmed`** — verify block_count etc. removed from similarity export

---

### A.9 Phase 5 Quality Gate

```bash
# All existing tests pass
pytest tests/unit/ -v

# New CFG tests
pytest tests/unit/test_apk_method_extractor.py -k "cfg or prime_product or call_count or wl_minhash" -v

# Linting
black redb/extractors/decompiler/apk/ tests/unit/test_apk_method_extractor.py
isort redb/extractors/decompiler/apk/ tests/unit/test_apk_method_extractor.py
flake8 redb/extractors/decompiler/apk/
```

Update `TEST_INDEX.md`. Commit.