Radim Burget

149 papers B 1Journal 41Unranked 106
YearRankTypeTitle / Venue / Authors
2026 J jnl
Comput. Biol. Chem.
Rakesh Chandra Joshi, Hitesh Reddy Dereddy, Sandip Mukhopadhyay, Radim Burget, Malay Kishore Dutta
2026 J jnl
Int. J. Imaging Syst. Technol.
Rashmi Singh, Rakesh Chandra Joshi, Suzain Rashid, Radim Burget, Malay Kishore Dutta
2025 conf
ICUMT
Neha Shukla, Rakesh Chandra Joshi, Radim Burget, Martin Rosa, Malay Kishore Dutta
2025 J jnl
Ecol. Informatics
Rakesh Chandra Joshi, Radim Burget, Malay Kishore Dutta
2025 conf
ICUMT
Martin Jonak, Jan Dorazil, Vojtech Myska, Radim Burget, Marek Kotrlý
2025 J jnl
Array
Michal Cicatka, Radim Burget, Jan Karasek, Jan Lancos
2025 conf
ICUMT
Anzhelika Mezina, Radim Burget, Marek Kotrlý
2025 conf
ICUMT
Martin Rosa, Radim Burget, Jaromír Hubálek
2025 J jnl
Comput. Networks
Daria Alekseeva, Anzhelika Mezina, Radim Burget, Otso Arponen, Elena Simona Lohan, Aleksandr Ometov
2025 conf
EUSIPCO
Jan Dorazil, Franz Hlawatsch, Bernard H. Fleury, Radim Burget
2025 conf
ICUMT
Petr Kriz, Pavel Sikora, Kamil Ríha, Radim Burget, Nikola Avramovic
2025 conf
ICUMT
Devansh Pandey, Rakesh Chandra Joshi, Anzhelika Mezina, Radim Burget, Malay Kishore Dutta
2025 J jnl
Comput. Methods Programs Biomed.
Suzain Rashid, Chandan J. Das, Anshika Chauhan, Garima Aggarwal, Rakesh Chandra Joshi, Radim Burget, Malay Kishore Dutta
2025 J jnl
J. Heal. Informatics Res.
Aleksandr Ometov, Anzhelika Mezina, Hsiao-Chun Lin, Otso Arponen, Radim Burget, Jari Nurmi
2025 conf
ICUMT
Vojtech Myska, Radim Burget, Stepan Jezek, Martina Lunakova, Petra Moravcova, Stepanka Doubkova, Anzhelika Mezina, Martin Jonak
2025 J jnl
Biomed. Signal Process. Control.
Vojtech Schiller, Radim Burget, Samuel Genzor, Jan Mizera, Anzhelika Mezina
2024 J jnl
IEEE Trans. Hum. Mach. Syst.
Rakesh Chandra Joshi, Nitin Singh, Anuj Kumar Sharma, Radim Burget, Malay Kishore Dutta
2024 J jnl
Comput. Methods Programs Biomed.
Rakesh Chandra Joshi, Pallavi Srivastava, Rashmi Mishra, Radim Burget, Malay Kishore Dutta
2024 J jnl
Biomed. Signal Process. Control.
Anzhelika Mezina, Radim Burget
2024 J jnl
IEEE Consumer Electron. Mag.
Vojtech Myska, Radim Burget, Marin Kolarik, Vladimir Levek, Pavel Steffan, Jiri Haze
2024 J jnl
Comput. Networks
Anzhelika Mezina, Radim Burget, Aleksandr Ometov
2024 conf
WIPHAL
Ekaterina Svertoka, Alexandru Rusu-Casandra, Radim Burget, Jari Nurmi, Aleksandr Ometov
2023 conf
ICUMT
Srishti Verma, Vishal, Rakesh Chandra Joshi, Malay Kishore Dutta, Stepan Jezek, Radim Burget
2023 conf
ICUMT
Suzain Rashid, Karnati Mohan, Garmia Aggarwal, Malay Kishore Dutta, Pavel Sikora, Radim Burget
2023 conf
ICUMT
Vojtech Myska, Anzhelika Mezina, Petr Vanek, Radim Burget, Samuel Genzor, Jan Mizera, Michal Stybnar, Martin Kiac, Jakub Frolka
2023 conf
ICUMT
Himanshi Sinha, Karnati Mohan, Garmia Aggarwal, Malay Kishore Dutta, Anzhelika Mezina, Radim Burget
2023 J jnl
Neural Comput. Appl.
Neha Sengar, Rakesh Chandra Joshi, Malay Kishore Dutta, Radim Burget
2023 conf
ICUMT
Martin Jonak, Jan Dorazil, Martin Kolarík, Stepan Jezek, Radim Burget, Marek Kotrlý
2023 conf
ICUMT
Michal Cicatka, Radim Burget, Jan Lancos
2023 conf
ICUMT
Ritesh Maurya, Radim Burget, Rudra Shaurya, Martin Kiac, Malay Kishore Dutta
2023 conf
ICUMT
Vaishali Aggarwal, Geet Sahu, Malay Kishore Dutta, Martin Jonak, Radim Burget
2023 conf
ICUMT
Rashi Chauhan, Karnati Mohan, Malay Kishore Dutta, Radim Burget
2023 conf
ICUMT
Petr Kriz, Pavel Sikora, Kamil Ríha, Radim Burget
2022 J jnl
Biomed. Signal Process. Control.
Neeraj Baghel, Radim Burget, Malay Kishore Dutta
2022 conf
TSP
Anjani Singh, Neha Sengar, Malay Kishore Dutta, Radim Burget
2022 J jnl
Comput. Methods Programs Biomed.
Neha Sengar, Radim Burget, Malay Kishore Dutta
2022 conf
ICUMT
Stepan Jezek, Martin Jonak, Radim Burget, Pavel Dvorak, Milos Skotak
2022 J jnl
Comput. Methods Programs Biomed.
Juwairiya Siraj Khan, Manoj Kaushik, Anushka Chaurasia, Malay Kishore Dutta, Radim Burget
2022 conf
TSP
Animesh Malviya, Neha Sengar, Malay Kishore Dutta, Radim Burget, Vojtech Myska
2022 conf
TSP
Mohd Mohsin Ali, Rakesh Chandra Joshi, Malay Kishore Dutta, Radim Burget, Anzhelika Mezina
2022 conf
ICUMT
Martin Jonak, Stepan Jezek, Radim Burget
2022 conf
COMM
Ekaterina Svertoka, Ion Marghescu, Alexandru Rusu-Casandra, Radim Burget, Jiri Hosek, Pavel Masek, Aleksandr Ometov
2022 conf
TSP
Michal Cicatka, Radim Burget, Jan Karasek
2022 conf
ICUMT
Anzhelika Mezina, Radim Burget
2022 conf
ICUMT
Martin Kolarík, Martin Jonak, Jiri Prinosil, Ondrej Krajsa, Radim Burget, Tomas Gajdaczek
2022 conf
TSP
Arnav Kumar, Rakesh Chandra Joshi, Malay Kishore Dutta, Radim Burget, Vojtech Myska
2021 J jnl
Comput. Networks
Aleksandr Ometov, Viktoriia Shubina, Lucie Klus, Justyna Skibinska, Salwa Saafi, Pavel Pascacio, Laura Flueratoru, Darwin Quezada-Gaibor, Nadezhda Chukhno, Olga Chukhno, Asad Ali, Asma Channa, Ekaterina Svertoka, Waleed Bin Qaim, Raul Casanova Marques, Sylvia Holcer, Joaquín Torres-Sospedra, Sven Casteleyn, Giuseppe Ruggeri, Giuseppe Araniti, Radim Burget, Jiri Hosek, Elena Simona Lohan
2021 J jnl
Sensors
Soumaya Dghim, Carlos M. Travieso-González, Radim Burget
2021 J jnl
Comput. Biol. Medicine
Ritesh Maurya, Vinay Kumar Pathak, Radim Burget, Malay Kishore Dutta
2021 J jnl
IEEE Access
Justyna Skibinska, Radim Burget, Asma Channa, Nirvana Popescu, Yevgeni Koucheryavy
2021 J jnl
Comput. Biol. Medicine
Manoj Kaushik, Rakesh Chandra Joshi, Atar Singh Kushwah, Maneesh Kumar Gupta, Monisha Banerjee, Radim Burget, Malay Kishore Dutta
2021 conf
ICUMT
Stepan Jezek, Martin Jonak, Radim Burget, Pavel Dvorak, Milos Skotak
2021 J jnl
Comput. Biol. Medicine
Rakesh Chandra Joshi, Rashmi Mishra, Puneet Gandhi, Vinay Kumar Pathak, Radim Burget, Malay Kishore Dutta
2021 conf
ICUMT
Arnav Kumar, Rakesh Chandra Joshi, Malay Kishore Dutta, Martin Jonak, Radim Burget
2021 conf
TSP
Shikha Rani, Anushka Chaurasia, Malay Kishore Dutta, Vojtech Myska, Radim Burget
2021 J jnl
Data
Pavel Masek, Martin Stusek, Ekaterina Svertoka, Jan Pospisil, Radim Burget, Elena Simona Lohan, Ion Marghescu, Jiri Hosek, Aleksandr Ometov
2021 J jnl
IEEE Access
Anzhelika Mezina, Radim Burget, Carlos M. Travieso-González
2021 conf
RRPR
Martin Kolarík, Radim Burget, Carlos Manuel Travieso-González, Jan Kocica
2021 J jnl
Biomed. Signal Process. Control.
Manoj Kaushik, Neeraj Baghel, Radim Burget, Carlos M. Travieso, Malay Kishore Dutta
2021 conf
TSP
Martin Kolarík, Radim Burget, Kamil Ríha, Karel Bartusek
2021 J jnl
Sensors
Asma Channa, Nirvana Popescu, Justyna Skibinska, Radim Burget
2021 conf
ICL-GNSS (Work in Progress)
Justyna Skibinska, Radim Burget
2021 J jnl
Sensors
Ekaterina Svertoka, Salwa Saafi, Alexandru Rusu-Casandra, Radim Burget, Ion Marghescu, Jiri Hosek, Aleksandr Ometov
2020 J jnl
Comput. Methods Programs Biomed.
Neeraj Baghel, Malay Kishore Dutta, Radim Burget
2020 conf
TSP
Martin Kolarík, Radim Burget, Kamil Ríha
2020 J jnl
CoRR
Martin Kolarík, Radim Burget, Kamil Ríha
2020 J jnl
Neural Comput. Appl.
Pavol Harár, Zoltan Galaz, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Radim Burget, Zdenek Smékal
2020 J jnl
J. Comput. Methods Sci. Eng.
Tao Yang, Dongmei Fu, Jintao Meng, Jiqing Pan, Radim Burget
2020 conf
ICUMT
Justyna Skibinska, Radim Burget
2020 B conf
ICPR
Martin Kolarík, Radim Burget, Carlos Manuel Travieso-González, Jan Kocica
2020 J jnl
CoRR
Martin Kolarík, Radim Burget, Carlos Manuel Travieso-González, Jan Kocica
2020 J jnl
Neural Comput. Appl.
Pavol Harár, Zoltan Galaz, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Radim Burget, Zdenek Smékal
2020 conf
TSP
Neeraj Baghel, Divyanshu Singh, Malay Kishore Dutta, Radim Burget, Vojtech Myska
2019 conf
ICUMT
Martin Rajnoha, Vojtech Mikulec, Radim Burget, Jiri Drazil
2019 conf
TSP
Ankita Dwivedi, Ankit Kumar, Malay Kishore Dutta, Radim Burget, Vojtech Myska
2019 conf
TSP
Anam Fatima, Ritesh Maurya, Malay Kishore Dutta, Radim Burget, Jan Masek
2019 conf
TSP
Areeba Irshad, Ritesh Maurya, Malay Kishore Dutta, Radim Burget, Václav Uher
2019 conf
TSP
Vojtech Myska, Radim Burget, Peter Brezany
2019 conf
TSP
Vojtech Myska, Radim Burget, Lukas Povoda, Malay Kishore Dutta
2019 conf
MIPRO
Peter Brezany, Marketa Janatova, Olga Stepánková, Marek Lenart, Michael Edward, Miroslav Uller, Radim Burget
2019 conf
TSP
Martin Kolarík, Radim Burget, Václav Uher, Lukas Povoda
2019 conf
TSP
Karel Kuchar, Eva Holasova, Lukas Hrboticky, Martin Rajnoha, Radim Burget
2019 J jnl
CoRR
Pavol Harár, Zoltan Galaz, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Radim Burget, Zdenek Smékal
2019 conf
ICUMT
Martin Kolarík, Radim Burget, Kamil Ríha
2019 J jnl
CoRR
Pavol Harár, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Zoltan Galaz, Radim Burget, Zdenek Smékal
2018 conf
TSP
Martin Kolarík, Radim Burget, Václav Uher, Malay Kishore Dutta
2018 conf
TSP
Sayantan Bhattacharya, Jai Sehgal, Ashish Issac, Malay Kishore Dutta, Radim Burget, Martin Kolarík
2018 conf
TSP
Ashish Khatter, Akshat Browne, Anushikha Singh, Malay Kishore Dutta, Kamil Ríha, Radim Burget
2018 conf
ICUMT
Martin Rajnoha, Radim Burget, Lukas Povoda
2018 conf
IWOBI
Monika Arora, Malay Kishore Dutta, Carlos M. Travieso, Radim Burget
2018 conf
ICUMT
Martin Rajnoha, Jirí Mekyska, Radim Burget, Ilona Eliasova, Milena Kostalova, Irena Rektorová
2017 conf
TSP
Namita Sengar, Malay Kishore Dutta, Radim Burget, Martin Ranjoha
2017 conf
TSP
Mohan Mishra, Anushikha Singh, Malay Kishore Dutta, Radim Burget, Jan Masek
2017 conf
TSP
Martin Rajnoha, Radim Burget, Malay Kishore Dutta
2017 conf
IWOBI
Pavol Harár, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Zoltan Galaz, Radim Burget, Zdenek Smékal
2016 conf
TSP
Arashdeep Kaur, Malay Kishore Dutta, Radim Burget, Kamil Ríha
2016 conf
TSP
Anushikha Singh, Namrata Raghuvanshi, Malay Kishore Dutta, Radim Burget, Jan Masek
2016 conf
TSP
Arpit Bansal, Aashwin Vats, Akshita Jain, Malay Kishore Dutta, Radim Burget, Jiri Prinosil
2016 conf
TSP
Aman Pandey, Ritu Chandra, Malay Kishore Dutta, Radim Burget, Václav Uher, Jirí Minár
2016 conf
TSP
Garima Mehta, Malay Kishore Dutta, Radim Burget, Lukas Povoda
2016 conf
TSP
Debashree Kashyap, Abhishek Somani, Jatin Shekhar, Anupama Bhan, Malay Kishore Dutta, Radim Burget, Kamil Ríha
2016 J jnl
Multim. Tools Appl.
Malay Kishore Dutta, Anushikha Singh, Radim Burget
2016 conf
TSP
Namita Sengar, Neeraj Mishra, Malay Kishore Dutta, Jiri Prinosil, Radim Burget
2016 J jnl
Comput. Methods Programs Biomed.
Anushikha Singh, Malay Kishore Dutta, M. Partha Sarathi, Václav Uher, Radim Burget
2016 conf
TSP
Lukas Povoda, Radim Burget, Malay Kishore Dutta
2015 conf
TSP
Mangipudi Partha Sarathi, Mohammed Ahmed Ansari, Malay Kishore Dutta, Radim Burget, Kamil Ríha
2015 conf
TSP
Malay Kishore Dutta, Shaumik Ganguly, Kshitij Srivastava, Shaunak Ganguly, M. Parthasarathi, Radim Burget, Jan Masek
2015 conf
TSP
Ayushi Agarwal, Shradha Gulia, Somal Chaudhary, Malay Kishore Dutta, Radim Burget, Kamil Ríha
2015 conf
TSP
Jan Karasek, Radim Burget, Václav Uher, Jan Masek, Malay Kishore Dutta
2015 conf
TSP
Namita Sengar, Malay Kishore Dutta, Radim Burget, Lukas Povoda
2015 conf
TSP
Malay Kishore Dutta, Anushikha Singh, Abhilasha Singh, Radim Burget, Jiri Prinosil
2015 conf
TSP
Garima Mehta, Malay Kishore Dutta, Radim Burget, Václav Uher
2015 conf
ICUMT
Lukas Povoda, Akshaj Arora, Sahitya Singh, Radim Burget, Malay Kishore Dutta
2015 conf
TSP
Malay Kishore Dutta, Kshitij Srivastava, Shaunak Ganguly, Shaumik Ganguly, M. Parthasarathi, Radim Burget, Jiri Prinosil
2015 conf
TSP
Václav Uher, Radim Burget, Malay Kishore Dutta, Petr Mlynek
2015 conf
TSP
Anushikha Singh, Malay Kishore Dutta, Radim Burget, Jan Masek
2015 conf
TSP
Jan Masek, Radim Burget, Jan Karasek, Václav Uher, Malay Kishore Dutta
2015 conf
TSP
Pavel Novák, Radim Burget, Jan Karasek, Malay Kishore Dutta
2014 conf
CSOC
Jan Karasek, Radim Burget, Lukas Povoda
2013 conf
TSP
Václav Uher, Radim Burget, Jan Masek, Malay Kishore Dutta
2013 conf
TSP
Mangipudi Partha Sarathi, Mohammed Ahmed Ansari, Václav Uher, Radim Burget, Malay Kishore Dutta
2013 J jnl
Comput. Methods Programs Biomed.
Radek Benes, Jan Karasek, Radim Burget, Kamil Ríha
2013 conf
TSP
Jan Masek, Radim Burget, Jan Karasek, Václav Uher, Selda Guney
2013 conf
TSP
Malay Kishore Dutta, Anushikha Singh, Radim Burget, Hicham Atassi, Ankur Choudhary, Krishan Mohan Soni
2013 conf
TSP
Jan Karasek, Radim Burget, Jan Masek, Ondrej Benda
2013 conf
EANN (1)
Jan Masek, Radim Burget, Václav Uher
2013 conf
TSP
Jan Mikulka, Radim Burget, Kamil Ríha
2013 conf
IC3
Jan Karasek, Radim Burget, Václav Uher, Malay Kishore Dutta, Yogesh Kumar
2013 conf
TSP
Jan Mikulka, Radim Burget, Kamil Ríha, Eva Gescheidtova
2013 conf
TSP
Jan Masek, Radim Burget, Václav Uher, Selda Guney
2013 conf
TSP
Radim Burget, Jaynandra Kumar Rai, Václav Uher, Jan Masek, Malay Kishore Dutta
2013 conf
TSP
Malay Kishore Dutta, Anushikha Singh, Krishan Mohan Soni, Radim Burget, Kamil Ríha
2013 conf
IC3
Malay Kishore Dutta, Anushikha Singh, Krishan Mohan Soni, Radim Burget, Kamil Ríha
2012 conf
TSP
Václav Uher, Radim Burget
2012 J jnl
J. Netw. Comput. Appl.
Radim Burget, Dan Komosny, Kathiravelu Ganeshan
2011 conf
TSP
Dongmei Fu, Tao Yang, Xintao Qiu, Kamil Ríha, Radim Burget
2011 conf
TSP
Radim Burget, Petr Cika, Martin Zukal, Jan Masek
2011 conf
TSP
Martin Zukal, Petr Cika, Radim Burget
2011 J jnl
J. Netw. Comput. Appl.
Patrik Moravek, Dan Komosny, Radim Burget, Jaroslav Sveda, Tomas Handl, Lucie Jarosova
2011 conf
TSP
Xintao Qiu, Dongmei Fu, Zhenduo Fu, Kamil Ríha, Radim Burget
2011 conf
TSP
Jan Karasek, Radim Burget, Ondrej Morsky
2010
Radim Burget
2009 conf
ICUMT
Milan Simek, Dan Komosny, Radim Burget, Patrik Moravek, Ricardo M. Silva
2008 conf
TeNe
Milan Simek, Dan Komosny, Radim Burget, Ricardo M. Silva, Jorge Sá Silva
2008 conf
ICN
Radim Burget, Dan Komosny, Vit Novotny
2008 conf
INC
Dan Komosny, Kathiravelu Ganeshan, Mojmir Jelinek, Radim Burget
2007 conf
PWC
Milan Simek, Radim Burget, Dan Komosny
2007 conf
PWC
Dan Komosny, Radim Burget
2007 conf
PWC
Radim Burget, Dan Komosny, Milan Simek
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.