Chandra Narayanaswami

37 papers A* 6A 3B 2Journal 18Unranked 7
YearRankTypeTitle / Venue / Authors
2025 conf
SoCC
Chirag C. Shetty, Sarthak Chakraborty, Hubertus Franke, Larisa Shwartz, Chandra Narayanaswami, Indranil Gupta, Saurabh Jha
2025 J jnl
CoRR
Chirag C. Shetty, Sarthak Chakraborty, Hubertus Franke, Larisa Shwartz, Chandra Narayanaswami, Indranil Gupta, Saurabh Jha
2025 J jnl
CoRR
Shengkun Cui, Archit Patke, Ziheng Chen, Aditya Ranjan, Hung Nguyen, Phuong Cao, Saurabh Jha, Brett M. Bode, Gregory H. Bauer, Chandra Narayanaswami, Daby Sow, Catello Di Martino, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2025 conf
DSN-W
Shengkun Cui, Archit Patke, Ziheng Chen, Aditya Ranjan, Hung Nguyen, Phuong Cao, Brett M. Bode, Gregory H. Bauer, Saurabh Jha, Chandra Narayanaswami, Daby Sow, Catello Di Martino, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2025 J jnl
CoRR
Archit Patke, Dhemath Reddy, Saurabh Jha, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2025 A conf
SC
Shengkun Cui, Archit Patke, Hung Nguyen, Aditya Ranjan, Ziheng Chen, Phuong Cao, Gregory H. Bauer, Brett M. Bode, Catello Di Martino, Saurabh Jha, Chandra Narayanaswami, Daby Sow, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2024 B ed.
CLOUD
Rong N. Chang, Carl K. Chang, Jingwei Yang, Nimanthi L. Atukorala, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Tevfik Kosar, Santonu Sarkar, Sreekrishnan Venkateswaran, Shangguang Wang, Xuanzhe Liu, Seetharami Seelam, Chandra Narayanaswami, Ziliang Zong
2024 J jnl
CoRR
Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Shengkun Cui, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2024 J jnl
CoRR
Bekir O. Turkkan, Pavankumar Murali, Pavithra Harsha, Rohan R. Arora, Gerard Vanloo, Chandra Narayanaswami
2024 A* conf
AAAI
Xi Yang, Rohan R. Arora, Saurabh Jha, Chandra Narayanaswami, Cheuk Lam, Jerrold Leichter, Yu Deng, Daby M. Sow
2024 conf
SoCC
Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2024 B conf
CLOUD
Xi Yang, Paulito Palmes, Saurabh Jha, Bekir O. Turkkan, Gerard Vanloo, Frank Bagehorn, Chandra Narayanaswami, Larisa Shwartz, Naoki Abe, Yu Deng, Daby M. Sow
2024 conf
DSN-S
Haoran Qiu, Weichao Mao, Chen Wang, Saurabh Jha, Hubertus Franke, Chandra Narayanaswami, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
2023 J jnl
CoRR
Pavithra Harsha, Shivaram Subramanian, Ali Koc, Mahesh Ramakrishna, Brian Quanz, Dhruv Shah, Chandra Narayanaswami
2023 A* conf
KDD
Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
2023 conf
CASCON
Xi Yang, Saurabh Jha, Paulito Palmes, Bekir O. Turkkan, Gerard Vanloo, Chandra Narayanaswami, Larisa Shwartz
2023 conf
HotCarbon
Rohan R. Arora, UmaMaheswari Devi, Tamar Eilam, Aanchal Goyal, Chandra Narayanaswami, Pritish Parida
2022 J jnl
CoRR
Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
2019 J jnl
IBM J. Res. Dev.
Chandra Narayanaswami, Raj Nooyi, Srinivasa Raghavan Govindaswamy, R. Viswanathan
2019 J jnl
IBM J. Res. Dev.
Venkat S. K. Balagurusamy, Cyril Cabral, Srikumar Coomaraswamy, Emmanuel Delamarche, Donna N. Dillenberger, Gero Dittmann, Daniel J. Friedman, Onur Gökçe, Nigel Hinds, Jens Jelitto, Andreas Kind, Ashwin Dhinesh Kumar, Frank Libsch, Joseph W. Ligman, Seiji Munetoh, Chandra Narayanaswami, Abhilash Narendra, Arun Paidimarri, Miguel Ángel Prada-Delgado, James T. Rayfield, Chitra K. Subramanian, Roman Vaculín
2011 J jnl
IEEE Pervasive Comput.
Chandra Narayanaswami, Antonio Krüger, Natalia Marmasse
2010 A* conf
WWW
Daniel M. Coffman, Danny Soroker, Chandra Narayanaswami, Aaron Zinman
2010 conf
CHI Extended Abstracts
Jingtao Wang, Danny Soroker, Chandra Narayanaswami
2009 J jnl
IEEE Pervasive Comput.
John Krumm, Nigel Davies, Chandra Narayanaswami
2009 J jnl
IEEE Pervasive Comput.
Keith I. Farkas, Chandra Narayanaswami, Jason Nieh
2009 J jnl
Pervasive Mob. Comput.
Chatschik Bisdikian, Silvia Giordano, Chandra Narayanaswami, Albrecht Schmidt
2009 A* conf
PerCom
Chatschik Bisdikian, Silvia Giordano, Chandra Narayanaswami, Albrecht Schmidt
2008 J jnl
IEEE Pervasive Comput.
John Krumm, Nigel Davies, Chandra Narayanaswami
2007 J jnl
IEEE Pervasive Comput.
Gaetano Borriello, Vincent M. Stanford, Chandra Narayanaswami, Walter Menning
2007 J jnl
IEEE Pervasive Comput.
Nishkam Ravi, Chandra Narayanaswami, Mandayam T. Raghunath, Marcel-Catalin Rosu
2006 A* conf
PerCom
Mandayam T. Raghunath, Nishkam Ravi, Marcel-Catalin Rosu, Chandra Narayanaswami
2006 ch.
The Handbook of Mobile Middleware
Chandra Narayanaswami
2006 J jnl
IEEE Trans. Mob. Comput.
C. Michael Olsen, Chandra Narayanaswami
2006 A* conf
CHI
Gábor Blaskó, Chandra Narayanaswami, Steven Feiner
2005 A conf
ICDAR
Chandra Narayanaswami
2005 A conf
ISLPED
Chandra Narayanaswami
2002 J jnl
IEEE Pervasive Comput.
Chandra Narayanaswami, Mandayam T. Raghunath
redb/extractors/apk_extractors/apk_resources.py
← Index redb/extractors/apk_extractors/apk_resources.py python
import hashlib
import inspect
import os
from datetime import datetime, timezone
from typing import Any

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


# ─── Suspicious file types ──────────────────────────────────────────────
# File types that are suspicious when found inside res/ or assets/.
# Excludes javascript/html (extremely common in legitimate hybrid apps)
# and common media/font types that are normal APK content.
SUSPICIOUS_TYPES = {
    # Executables — no legitimate reason in assets/res
    "elf", "pebin", "macho", "dex", "apk",
    # Java containers — DexClassLoader target
    "jar",
    # Archives — rare in legitimate assets (~135:1 malware-to-benign ratio)
    "zip", "gzip", "7z", "xz", "tar", "bzip2", "rar", "7zip", "lzma",
    # Scripts with system execution capability
    "shell", "python", "powershell", "batch",
}

# ─── Entropy thresholds ─────────────────────────────────────────────────
# For unrecognized/unknown types: encrypted payloads typically land > 7.0
ENTROPY_HIGH_UNKNOWN = 7.0
# For recognized-but-non-image types: stricter threshold
ENTROPY_EXTREME = 7.85

# ─── Android-specific binary format magic bytes ─────────────────────────
# These formats are common in legitimate APKs but unknown to Magika,
# causing misclassification (e.g., AXML → "gzip", profm → "unknown").
AXML_MAGIC = b'\x03\x00\x08\x00'       # Android Binary XML (compiled res/*.xml)
ARSC_MAGIC = b'\x02\x00\x0c\x00'       # Android compiled resource table
ART_PROF_MAGIC = b'pro\x00'            # ART baseline profile
ART_PROFM_MAGIC = b'prm\x00'           # ART baseline profile metadata

# ─── Allowlisted paths ──────────────────────────────────────────────────
# Fixed, hardcoded paths in the Android build system that are always benign.
# ART profiles at these exact paths are shipped by Jetpack ProfileInstaller.
ALLOWLISTED_PATHS = {
    "assets/dexopt/baseline.prof",
    "assets/dexopt/baseline.profm",
}

# ─── Image handling ─────────────────────────────────────────────────────
# Magika-confirmed image types: high entropy is expected (lossy codecs
# like VP8/JPEG arithmetic-code toward entropy ~7.95-8.0 by design).
IMAGE_MAGIKA_TYPES = {"png", "webp", "jpeg", "gif", "bmp", "tiff", "ico"}
IMAGE_EXTENSIONS = {".png", ".webp", ".jpg", ".jpeg", ".gif", ".bmp", ".tiff", ".ico"}

# ─── Types Magika assigns when it can't identify the content ────────────
UNRECOGNIZED_MAGIKA_TYPES = {"unknown", "empty"}

# ─── Resource scan limits ───────────────────────────────────────────────
MAX_RESOURCE_FILES = 5000


class APKResourceExtractor(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.resources = []
        self.suspicious_files = []
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    # ─── Core classification logic ──────────────────────────────────────

    def _identify_android_format(self, header: bytes) -> str | None:
        """
        Identify Android-specific binary formats that Magika doesn't know.
        Returns a corrected type label, or None to fall through to Magika.
        """
        if len(header) < 4:
            return None

        magic4 = header[:4]

        # Android Binary XML — all res/*.xml in a compiled APK.
        # Magika often misclassifies this as "gzip".
        if magic4 == AXML_MAGIC:
            return "android_binary_xml"

        # Android compiled resource table (resources.arsc chunks)
        if magic4 == ARSC_MAGIC:
            return "android_resource_table"

        # ART baseline profiles — high entropy (zlib inside) but benign.
        # The format is inert (method reference bitmaps/metadata, not
        # executable code) and some build configs place them at varying paths.
        if magic4 == ART_PROF_MAGIC:
            return "android_art_profile"
        if magic4 == ART_PROFM_MAGIC:
            return "android_art_profile_metadata"

        return None

    def _is_suspicious_resource(
        self, path: str, magika_type: str, entropy: float,
        android_type: str | None,
    ) -> bool:
        """
        Determine if a resource file is suspicious.

        Detection layers:
        1. Allowlisted paths → always benign
        2. Android-specific format override → reclassify Magika mislabels
        3. Image extension vs Magika type mismatch → encrypted blob detection
        4. Magika-confirmed images → benign regardless of entropy
        5. Suspicious type match → flag known-dangerous types
        6. High-entropy unknown blobs → likely encrypted payloads
        """

        # ── Layer 1: Allowlisted paths (hardcoded Android build artifacts) ──
        if path in ALLOWLISTED_PATHS:
            return False

        # ── Layer 2: Android-specific format detection ──────────────────────
        # Override Magika's label for formats it doesn't recognize.
        # All Android-specific formats (AXML, ARSC, ART profiles) are
        # legitimate build artifacts — never suspicious.
        if android_type is not None:
            return False

        # ── Layer 3: Image extension / Magika type mismatch ─────────────────
        # If the file extension claims "image" but Magika's content analysis
        # disagrees, this is a strong signal for an encrypted payload with
        # a fake image extension (e.g., ErrorFather's "rbyypivsnw.png").
        ext = os.path.splitext(path)[1].lower()
        if ext in IMAGE_EXTENSIONS and magika_type not in IMAGE_MAGIKA_TYPES:
            # Exception: Magika might label a valid image as "unknown" if
            # the file is very small (< ~16 bytes). Don't flag tiny files.
            if entropy > 5.0:
                return True

        # ── Layer 4: Magika-confirmed images → benign ───────────────────────
        # Lossy codecs (VP8, JPEG) produce entropy up to ~8.0 by design.
        # If Magika confirms image structure, high entropy is expected.
        if magika_type in IMAGE_MAGIKA_TYPES:
            return False

        # ── Layer 5: Known suspicious file types ────────────────────────────
        if magika_type in SUSPICIOUS_TYPES:
            return True

        # ── Layer 6: High-entropy unrecognized blobs ────────────────────────
        # Files Magika can't identify with high entropy are likely encrypted
        # payloads. Most Android malware packers store encrypted DEX/SO
        # payloads as opaque blobs with random names and no valid magic.
        if magika_type in UNRECOGNIZED_MAGIKA_TYPES and entropy > ENTROPY_HIGH_UNKNOWN:
            return True

        # ── Layer 7: Extreme entropy on any non-image recognized type ───────
        # Catches edge cases where Magika assigns a benign label (e.g.,
        # "xml", "txt") but the entropy is impossibly high for that format.
        if magika_type not in IMAGE_MAGIKA_TYPES and entropy > ENTROPY_EXTREME:
            return True

        return False

    # ─── Extraction pipeline ────────────────────────────────────────────

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

        try:
            from magika import Magika
            magika = Magika()
        except Exception as e:
            self.log.error(f"Failed to initialize Magika for {self.hash.sha256}: {e}")
            magika = None

        self.resources = []
        self.suspicious_files = []
        scanned = 0

        zf = self._get_zip_file()
        if not zf:
            return None

        with zf:
            for info in zf.infolist():
                if info.is_dir():
                    continue
                if not (info.filename.startswith("res/") or
                        info.filename.startswith("assets/")):
                    continue

                if scanned >= MAX_RESOURCE_FILES:
                    self.log.warning(
                        f"Resource scan limit reached ({MAX_RESOURCE_FILES}), "
                        f"stopping resource enumeration"
                    )
                    break
                scanned += 1

                try:
                    data = zf.read(info.filename)
                except Exception as e:
                    self.log.warning(
                        f"Error reading resource {info.filename}: {e}"
                    )
                    continue

                try:
                    file_sha256 = hashlib.sha256(data).hexdigest()
                    file_entropy = round(self.calculate_entropy(data), 3)

                    # Read first bytes for Android-specific format detection
                    header = data[:16] if len(data) >= 16 else data

                    if magika:
                        try:
                            filetype = magika.identify_bytes(data).output.label
                        except Exception:
                            filetype = "unknown"
                    else:
                        filetype = "unknown"

                    # Identify Android-specific formats once, reuse for
                    # both stored type and suspicion classification
                    android_type = self._identify_android_format(header)
                    stored_type = android_type if android_type else filetype

                    suspicious = self._is_suspicious_resource(
                        path=info.filename,
                        magika_type=filetype,
                        entropy=file_entropy,
                        android_type=android_type,
                    )

                    resource = APKResource(
                        path=info.filename,
                        size=info.file_size,
                        sha256=file_sha256,
                        filetype_magika=stored_type,
                        entropy=file_entropy,
                    )

                    if suspicious:
                        resource.is_suspicious = True
                        self.suspicious_files.append(resource)

                    self.resources.append(resource)
                except Exception as e:
                    self.log.warning(
                        f"Error processing resource {info.filename}: {e}"
                    )
                    continue

        if not self.resources:
            return None

        return {
            "total_resource_count": len(self.resources),
            "total_resource_size": sum(r.size for r in self.resources),
            "suspicious_file_count": len(self.suspicious_files),
            "resources": self.resources,
            "suspicious_files": self.suspicious_files,
        }

    # ─── Export ──────────────────────────────────────────────────────────

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

            current_time = datetime.now(timezone.utc)
            data = []
            for res in self.resources:
                data.append([
                    self.sha256,
                    res.path,
                    res.size,
                    res.sha256,
                    res.filetype_magika,
                    res.entropy,
                    int(res.is_suspicious),
                    current_time,
                ])

            column_names = [
                'sha256', 'resource_path', 'resource_size',
                'resource_sha256', 'resource_magika', 'resource_entropy',
                'is_suspicious', 'analysis_date',
            ]

            column_type_names = [
                'FixedString(64)', 'String', 'UInt64',
                'FixedString(64)', 'LowCardinality(String)', 'Float32',
                'UInt8', "DateTime64(3, 'UTC')",
            ]

            return (data, column_names, column_type_names)

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