Venkat N. Gudivada

45 papers A 1B 2Misc 3Journal 20Unranked 17
YearRankTypeTitle / Venue / Authors
2023 J jnl
IEEE Access
Rajvardhan Patil, Sorio Boit, Venkat N. Gudivada, Jagadeesh Nandigam
2021 J jnl
IEEE Trans. Big Data
Junhua Ding, Xin-Hua Hu, Venkat N. Gudivada
2021 conf
ICSC
Venkat N. Gudivada, Nic Herndon, Dhana Rao
2019 J jnl
ACM J. Data Inf. Qual.
Junhua Ding, Xinchuan Li, Xiaojun Kang, Venkat N. Gudivada
2019 J jnl
Computer
Venkat N. Gudivada, Sharath Pankanti, Guna Seetharaman, Yu Zhang
2017 conf
IEEE BigData
Junhua Ding, Xinchuan Li, Venkat N. Gudivada
2017 conf
SCC
Junhua Ding, Xiaojun Kang, Xin-Hua Hu, Venkat N. Gudivada
2016 J jnl
Computer
Venkat N. Gudivada, Dhana Rao, Vijay V. Raghavan
2015 J jnl
Computer
Venkat N. Gudivada, Ricardo Baeza-Yates, Vijay V. Raghavan
2015 conf
IEEE BigData
Dhana Rao, Venkat N. Gudivada, Vijay V. Raghavan
2015 J jnl
Computer
Venkat N. Gudivada, Dhana Rao, Jordan Paris
2014 B conf
SERVICES
Venkat N. Gudivada, Dhana Rao, Vijay V. Raghavan
2013 conf
ITNG
Venkat N. Gudivada, Rajeev Agrawal, Chunbo Chu
2010 J jnl
J. Comput. Sci. Coll.
Jagadeesh Nandigam, Yonglei Tao, Venkat N. Gudivada, Abdelwahab Hamou-Lhadj
2009 conf
ITNG
Venkat N. Gudivada, Jagadeesh Nandigam
2009 conf
ITNG
Jagadeesh Nandigam, Venkat N. Gudivada, Abdelwahab Hamou-Lhadj, Yonglei Tao
2008 conf
ITNG
Venkat N. Gudivada, Jagadeesh Nandigam, Jay N. Bhuyan
2007 conf
FECS
Venkat N. Gudivada, Jagadeesh Nandigam, Rekha Bhowmik
2006 J jnl
J. Comput. Sci. Coll.
Venkat N. Gudivada, Jagadeesh Nandigam, Devanur S. Guru
2006 J jnl
J. Comput. Sci. Coll.
Jagadeesh Nandigam, Venkat N. Gudivada
2005 A conf
ICWS
Venkat N. Gudivada, Jagadeesh Nandigam
2005 J jnl
J. Comput. Sci. Coll.
Jagadeesh Nandigam, Venkat N. Gudivada, Mrunalini Kalavala
2004 ch.
The Practical Handbook of Internet Computing
Vijay V. Raghavan, William I. Grosky, Zonghuan Wu, Venkat N. Gudivada
2003 J jnl
Computer
Venkat N. Gudivada
1999 Misc conf
PDPTA
Jay N. Bhuyan, Jermel Babb, Venkat N. Gudivada, Hira N. Narang
1998 J jnl
IEEE Trans. Knowl. Data Eng.
Venkat N. Gudivada
1997 conf
RIAO
Venkat N. Gudivada, Tolety Siva Perraju
1997 Misc conf
SAC
Venkat N. Gudivada, Jay N. Bhuyan, Ramesh Adusumilli
1997 J jnl
IEEE Internet Comput.
Venkat N. Gudivada, Vijay V. Raghavan, William I. Grosky, Rajesh Kasanagottu
1997 J jnl
Inf. Process. Manag.
Venkat N. Gudivada, Vijay V. Raghavan
1996 ch.
Multimedia Database System: Issues and Research Direction
Venkat N. Gudivada, Vijay V. Raghavan, Kanonkluk Vanapipat
1996 conf
ICMCS
Venkat N. Gudivada, Gwang S. Jung
1996 J jnl
Real Time Imaging
Venkat N. Gudivada, Gwang S. Jung
1995 conf
ACM Conference on Computer Science
Venkat N. Gudivada, Gwang S. Jung
1995 Misc conf
SAC
Gwang S. Jung, Venkat N. Gudivada
1995 J jnl
Computer
Venkat N. Gudivada, Vijay V. Raghavan
1995 conf
ACM Conference on Computer Science
Venkat N. Gudivada
1995 J jnl
ACM Trans. Inf. Syst.
Venkat N. Gudivada, Vijay V. Raghavan
1995 J jnl
ACM Comput. Surv.
Venkat N. Gudivada
1995 conf
ACM Conference on Computer Science
Venkat N. Gudivada
1995 conf
ICMCS
Venkat N. Gudivada, Gwang S. Jung
1995 conf
Storage and Retrieval for Image and Video Databases (SPIE)
Venkat N. Gudivada
1994 conf
RIAO
Venkat N. Gudivada, Vijay V. Raghavan
1994 J jnl
SIGIR Forum
Venkat N. Gudivada
1991 B conf
ICTAI
Somnuk Keretho, Rasiah Loganantharaj, Venkat N. Gudivada
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"