Karolina Nurzynska

40 papers B 1C 3Misc 2Journal 12Unranked 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comput. Methods Programs Biomed.
Karolina Nurzynska, Marek Wodzinski, Adam Piórkowski, Michal Strzelecki, Rafal Obuchowicz, Pawel Kaminski
2025 conf
ISD
Jakub Ruranski, Katarzyna Nowak, Magdalena Góras, Karol Dworak, Karolina Nurzynska
2025 conf
HICSS
Dariusz Kobiela, Michal Hajdasz, Mateusz Erezman, Karolina Nurzynska, Szymon Zaporowski, Adam Kurowski, Pawel Weichbroth
2024 conf
ISD
Karolina Nurzynska, Krystian Jandy, Pawel Weichbroth
2023 J jnl
Comput. Methods Programs Biomed.
Karolina Nurzynska, Dalin Li, Ann E. Walts, Arkadiusz Gertych
2023 B conf
KES
Karolina Nurzynska
2022 J jnl
Sensors
Przemyslaw Skurowski, Karolina Nurzynska, Magdalena Pawlyta, Krzysztof A. Cyran
2021 J jnl
Sensors
Monika Chuchro, Wojciech Sarlej, Marta Grzegorczyk, Karolina Nurzynska
2021 J jnl
Sensors
Elzbieta Pociask, Karolina Nurzynska, Rafal Obuchowicz, Paulina Balon, Daniel Uryga, Michal Strzelecki, Andrzej Izworski, Adam Piórkowski
2021 J jnl
Sensors
Karolina Nurzynska, Przemyslaw Skurowski, Magdalena Pawlyta, Krzysztof A. Cyran
2020 J jnl
Comput. Medical Imaging Graph.
Mu Yang, Karolina Nurzynska, Ann E. Walts, Arkadiusz Gertych
2020 conf
Digital Pathology
Zaneta Swiderska-Chadaj, Karolina Nurzynska, Bartlomiej Grala, Katrien Grunberg, Lieke van der Woude, Monika Looijen-Salamon, Ann E. Walts, Tomasz Markiewicz, Francesco Ciompi, Arkadiusz Gertych
2018 conf
BDAS
Karolina Nurzynska
2018 J jnl
Symmetry
Karolina Nurzynska
2018 C conf
IWCIA
Karolina Nurzynska, Michal Czardybon
2018 conf
BDAS
Karolina Nurzynska
2017 J jnl
Neuroinformatics
Karolina Nurzynska, Aleksandr Mikhalkin, Adam Piórkowski
2017 conf
BDAS
Adam Mlynarski, Karolina Nurzynska
2017 conf
BDAS
Karolina Nurzynska
2017 J jnl
Comput. Medical Imaging Graph.
Adam Piórkowski, Karolina Nurzynska, Jolanta Gronkowska-Serafin, Bettina Selig, Cezary Boldak, Daniel Reska
2016 conf
ICCCI (2)
Konrad Wojciechowski, Bogdan Smolka, Rafal Cupek, Adam Ziebinski, Karolina Nurzynska, Marek Kulbacki, Jakub Segen, Marcin Fojcik, Pawel Mielnik, Sebastian Hein
2016 conf
Real-Time Image and Video Processing
Karolina Nurzynska, Bogdan Smolka
2016 conf
IBERAMIA
Michal Kawulok, Jakub Nalepa, Karolina Nurzynska, Bogdan Smolka
2016 conf
SPA
Karolina Nurzynska, Bogdan Smolka
2015 conf
ICAISC (1)
Karolina Nurzynska, Bogdan Smolka
2015 conf
BDAS
Sebastian Iwaszenko, Karolina Nurzynska, Barbara Bialecka
2015 conf
BDAS
Karolina Nurzynska, Bogdan Smolka
2015 Misc conf
ICCS
Bogdan Smolka, Karolina Nurzynska
2015 conf
EUROCON
Karolina Nurzynska, Bogdan Smolka
2014 conf
ICAISC (1)
Marcin Michalak, Karolina Nurzynska
2014 conf
BDAS
Karolina Nurzynska, Sebastian Iwaszenko, Tomasz Choroba
2014 C conf
IGARSS
Sebastian Iwaszenko, Karolina Nurzynska
2013 conf
ICANNGA
Marcin Michalak, Karolina Nurzynska
2012 conf
ISVC (2)
Marcin Michalak, Karolina Nurzynska, Andrzej Pytlik, Krzysztof Paczesniowski
2012 conf
ISVC (1)
Karolina Nurzynska, Ryszard Haraszczuk
2011 C conf
IGARSS
Karolina Nurzynska, Mamoru Kubo, Ken-ichiro Muramoto
2010 J jnl
IEICE Trans. Inf. Syst.
Karolina Nurzynska, Mamoru Kubo, Ken-ichiro Muramoto
2009 ch.
Computer Recognition Systems 3
Karolina Nurzynska
2008 Misc conf
ICCVG
Karolina Nurzynska
2008 J jnl
Ann. UMCS Informatica
Karolina Nurzynska
redb/extractors/apk_extractors/apk_dex.py
← Index redb/extractors/apk_extractors/apk_dex.py python
import hashlib
import inspect
import json
from collections import Counter
from datetime import datetime, timezone
from typing import Any

import tlsh

from redb.extractors.enum import Tag
from redb.extractors.apk_extractor import APKExtractor
from redb.models.dataclasses import APKDexFile

# Sensitive API patterns categorized for malware analysis
SENSITIVE_API_CATEGORIES = {
    "reflection": [
        "Ljava/lang/reflect/Method;->invoke",
        "Ljava/lang/reflect/Field;->get",
        "Ljava/lang/reflect/Field;->set",
        "Ljava/lang/reflect/Constructor;->newInstance",
        "Ljava/lang/Class;->forName",
        "Ljava/lang/Class;->getMethod",
        "Ljava/lang/Class;->getDeclaredMethod",
        "Ljava/lang/Class;->getDeclaredField",
        "Ljava/lang/ClassLoader;->loadClass",
    ],
    "crypto": [
        "Ljavax/crypto/Cipher;->getInstance",
        "Ljavax/crypto/Cipher;->init",
        "Ljavax/crypto/spec/SecretKeySpec;-><init>",
        "Ljavax/crypto/spec/IvParameterSpec;-><init>",
        "Ljava/security/MessageDigest;->getInstance",
        "Ljava/security/KeyStore;->getInstance",
        "Ljavax/crypto/Mac;->getInstance",
    ],
    "dynamic_loading": [
        "Ldalvik/system/DexClassLoader;-><init>",
        "Ldalvik/system/PathClassLoader;-><init>",
        "Ldalvik/system/InMemoryDexClassLoader;-><init>",
        "Ldalvik/system/BaseDexClassLoader;-><init>",
        "Ljava/lang/Runtime;->exec",
        "Ljava/lang/ProcessBuilder;->start",
    ],
    "telephony": [
        "Landroid/telephony/TelephonyManager;->getDeviceId",
        "Landroid/telephony/TelephonyManager;->getSubscriberId",
        "Landroid/telephony/TelephonyManager;->getLine1Number",
        "Landroid/telephony/TelephonyManager;->getSimSerialNumber",
        "Landroid/telephony/TelephonyManager;->getNetworkOperator",
        "Landroid/telephony/TelephonyManager;->getSimOperator",
    ],
    "sms": [
        "Landroid/telephony/SmsManager;->sendTextMessage",
        "Landroid/telephony/SmsManager;->sendMultipartTextMessage",
        "Landroid/telephony/SmsManager;->sendDataMessage",
    ],
    "network": [
        "Ljava/net/HttpURLConnection;->connect",
        "Ljava/net/URL;->openConnection",
        "Lokhttp3/OkHttpClient;-><init>",
        "Lokhttp3/Request$Builder;->build",
        "Lorg/apache/http/client/HttpClient;->execute",
        "Landroid/webkit/WebView;->loadUrl",
        "Landroid/webkit/WebView;->setWebViewClient",
    ],
    "native": [
        "Ljava/lang/System;->loadLibrary",
        "Ljava/lang/System;->load",
        "Ljava/lang/Runtime;->loadLibrary",
    ],
    "device_info": [
        "Landroid/os/Build;->FINGERPRINT",
        "Landroid/os/Build;->MODEL",
        "Landroid/os/Build;->MANUFACTURER",
        "Landroid/os/Build;->PRODUCT",
        "Landroid/os/Build;->BRAND",
        "Landroid/os/Build;->DEVICE",
        "Landroid/os/Build;->HARDWARE",
        "Landroid/os/Build;->SERIAL",
        "Landroid/os/Build$VERSION;->SDK_INT",
        "Landroid/provider/Settings$Secure;->getString",
    ],
    "file_io": [
        "Ljava/io/FileOutputStream;-><init>",
        "Ljava/io/FileInputStream;-><init>",
        "Landroid/content/SharedPreferences;->edit",
        "Landroid/database/sqlite/SQLiteDatabase;->execSQL",
        "Landroid/database/sqlite/SQLiteDatabase;->rawQuery",
    ],
    "ipc": [
        "Landroid/content/ContentResolver;->query",
        "Landroid/content/ContentResolver;->insert",
        "Landroid/content/ContentResolver;->delete",
        "Landroid/content/Intent;-><init>",
        "Landroid/content/Context;->sendBroadcast",
        "Landroid/content/Context;->startService",
        "Landroid/content/Context;->bindService",
    ],
}


class APKDexExtractor(APKExtractor):

    def __init__(
        self, filepath, log, exporters=None, index_prefix=None,
        known_benign=False, known_malicious=False,
        apk=None,
    ):
        super().__init__(
            filepath, log, exporters, index_prefix,
            known_benign, known_malicious, apk,
        )
        self.dex_files = []
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.APK_DEX.value

    def _analyze_api_usage(self, dex):
        """Categorize sensitive API calls found in DEX bytecode."""
        api_usage = {cat: set() for cat in SENSITIVE_API_CATEGORIES}

        try:
            for method in dex.get_encoded_methods():
                code = method.get_code()
                if not code:
                    continue
                try:
                    bytecode = code.get_bc()
                    if not bytecode:
                        continue
                    for instruction in bytecode.get_instructions():
                        op_name = instruction.get_name()
                        if not op_name or not op_name.startswith("invoke"):
                            continue
                        output = instruction.get_output()
                        if not output:
                            continue
                        for category, patterns in SENSITIVE_API_CATEGORIES.items():
                            for pattern in patterns:
                                if pattern in output:
                                    api_usage[category].add(output.strip())
                                    break
                except Exception:
                    continue
        except Exception as e:
            self.log.warning(f"Error analyzing API usage: {e}")

        # Convert sets to sorted lists
        return {cat: sorted(calls) for cat, calls in api_usage.items() if calls}

    def _compute_obfuscation_indicators(self, classes, methods):
        """Compute obfuscation indicators from class/method names."""
        class_names = []
        for cls in classes:
            try:
                name = cls.get_name()
                if name:
                    class_names.append(name)
            except Exception:
                continue

        method_names = []
        for m in methods:
            try:
                name = m.get_name()
                if name and name not in ("<init>", "<clinit>"):
                    method_names.append(name)
            except Exception:
                continue

        if not class_names:
            return None

        # Short class names: extract just the class part from Dalvik notation
        short_class = 0
        for n in class_names:
            simple = n.split("/")[-1].rstrip(";")
            if len(simple) <= 2:
                short_class += 1

        short_method = sum(1 for n in method_names if len(n) <= 2)

        return {
            "short_class_names_pct": round(short_class / max(len(class_names), 1), 4),
            "short_method_names_pct": round(short_method / max(len(method_names), 1), 4),
            "non_ascii_identifiers": sum(1 for n in class_names if not n.isascii()),
            "avg_class_name_length": round(
                sum(len(n) for n in class_names) / max(len(class_names), 1), 2
            ),
        }

    def _compute_top_packages(self, classes):
        """Compute top packages by class count."""
        package_counter = Counter()
        for cls in classes:
            try:
                name = cls.get_name()  # "Lcom/example/foo/Bar;"
                if not name:
                    continue
                parts = name[1:].replace("/", ".").rsplit(".", 1)
                if len(parts) > 1:
                    package = parts[0]
                else:
                    package = "(default)"
                package_counter[package] += 1
            except Exception:
                continue

        return [
            {"package": pkg, "class_count": count}
            for pkg, count in package_counter.most_common(20)
        ]

    def extract(self):
        if not self._is_valid_apk():
            self.log.error(f"Invalid APK for {self.hash.sha256}")
            return None

        from androguard.core.dex import DEX

        try:
            dex_names = list(self.apk.get_dex_names() or [])
        except Exception as e:
            self.log.warning(f"Error getting DEX names for {self.hash.sha256}: {e}")
            dex_names = []

        try:
            dex_buffers = list(self.apk.get_all_dex() or [])
        except Exception as e:
            self.log.error(f"Error getting DEX buffers for {self.hash.sha256}: {e}")
            return None

        if not dex_buffers:
            self.log.debug("No DEX files found in APK")
            return None

        self.dex_files = []
        for i, dex_data in enumerate(dex_buffers):
            dex_name = dex_names[i] if i < len(dex_names) else f"classes{i}.dex"

            dex_sha256 = hashlib.sha256(dex_data).hexdigest()
            dex_tlsh = None
            if len(dex_data) >= 50:
                try:
                    dex_tlsh = tlsh.hash(dex_data) or None
                except Exception:
                    pass

            try:
                d = DEX(dex_data)
            except Exception as e:
                self.log.warning(f"Failed to parse DEX {dex_name}: {e}")
                continue

            try:
                classes = list(d.get_classes() or [])
            except Exception as e:
                self.log.warning(f"Error getting classes from {dex_name}: {e}")
                classes = []
            try:
                methods = list(d.get_methods() or [])
            except Exception as e:
                self.log.warning(f"Error getting methods from {dex_name}: {e}")
                methods = []
            try:
                strings = list(d.get_strings() or [])
            except Exception as e:
                self.log.warning(f"Error getting strings from {dex_name}: {e}")
                strings = []

            try:
                top_packages = self._compute_top_packages(classes)
            except Exception as e:
                self.log.warning(f"Error computing top packages for {dex_name}: {e}")
                top_packages = []
            try:
                api_usage = self._analyze_api_usage(d)
            except Exception as e:
                self.log.warning(f"Error analyzing API usage for {dex_name}: {e}")
                api_usage = {}
            try:
                obfuscation_indicators = self._compute_obfuscation_indicators(classes, methods)
            except Exception as e:
                self.log.warning(f"Error computing obfuscation indicators for {dex_name}: {e}")
                obfuscation_indicators = None

            self.dex_files.append(APKDexFile(
                filename=dex_name,
                sha256=dex_sha256,
                class_count=len(classes),
                method_count=len(methods),
                string_count=len(strings),
                tlsh=dex_tlsh,
                top_packages=top_packages,
                api_usage=api_usage if api_usage else None,
                obfuscation_indicators=obfuscation_indicators,
            ))

        return self.dex_files if self.dex_files else None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ClickHouseExporter":
            if not self.dex_files:
                return None

            current_time = datetime.now(timezone.utc)

            # DEX table: one row per DEX file
            dex_data = []
            for dex in self.dex_files:
                dex_data.append([
                    self.sha256,
                    dex.sha256,
                    dex.filename,
                    dex.tlsh,
                    dex.class_count,
                    dex.method_count,
                    dex.string_count,
                    json.dumps(dex.top_packages) if dex.top_packages else None,
                    json.dumps(dex.obfuscation_indicators) if dex.obfuscation_indicators else None,
                    current_time,
                ])

            # API usage table: one row per category per DEX
            api_data = []
            for dex in self.dex_files:
                if dex.api_usage:
                    for category, api_calls in dex.api_usage.items():
                        api_data.append([
                            self.sha256,
                            dex.sha256,
                            category,
                            api_calls,
                            current_time,
                        ])

            return {
                'multi_table': True,
                'dex': {
                    'table': 'redb_apk_dex',
                    'data': dex_data,
                    'column_names': [
                        'sha256', 'dex_sha256', 'dex_filename', 'dex_tlsh',
                        'dex_class_count', 'dex_method_count', 'dex_string_count',
                        'dex_top_packages', 'dex_obfuscation_indicators',
                        'analysis_date',
                    ],
                    'column_type_names': [
                        'FixedString(64)', 'FixedString(64)', 'String', 'Nullable(String)',
                        'UInt32', 'UInt32', 'UInt32',
                        'Nullable(String)', 'Nullable(String)',
                        "DateTime64(3, 'UTC')",
                    ],
                },
                'api_usage': {
                    'table': 'redb_apk_dex_api_usage',
                    'data': api_data,
                    'column_names': [
                        'sha256', 'dex_sha256', 'api_category',
                        'api_calls', 'analysis_date',
                    ],
                    'column_type_names': [
                        'FixedString(64)', 'FixedString(64)', 'LowCardinality(String)',
                        'Array(String)', "DateTime64(3, 'UTC')",
                    ],
                },
            }

    def get_clickhouse_table(self) -> str:
        return "redb_apk_dex"