Vinay A. Duddalwar

22 papers Journal 12Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
J. Imaging
R. Prajwal, S. J. Pawan, Shahin Nazarian, Nicholas Heller, Christopher J. Weight, Vinay A. Duddalwar, C.-C. Jay Kuo
2025 J jnl
Multimodal Technol. Interact.
S. J. Pawan, Matthew Muellner, Xiaomeng Lei, Mihir Desai, Bino A. Varghese, Vinay A. Duddalwar, Steven Y. Cen
2025 J jnl
J. Imaging
Yixing Wu, Alexander Shieh, Steven Y. Cen, Darryl Hwang, Xiaomeng Lei, S. J. Pawan, Manju Aron, Inderbir S. Gill, William Wallace, C.-C. Jay Kuo, Vinay A. Duddalwar
2024 conf
SIPAIM
Katharine Sweetland, Vinay A. Duddalwar, Bino A. Varghese, Darryl H. Hwang
2024 J jnl
Comput. Medical Imaging Graph.
Vasileios Magoulianitis, Jiaxin Yang, Yijing Yang, Jintang Xue, Masatomo Kaneko, Giovanni E. Cacciamani, Andre Abreu, Vinay A. Duddalwar, C.-C. Jay Kuo, Inderbir S. Gill, Chrysostomos L. Nikias
2023 conf
SIPAIM
Katharine Sweetland, Karen Chu, Xiaomeng Lei, Steven Y. Cen, Vinay A. Duddalwar, Darryl H. Hwang, Bino A. Varghese
2023 conf
SIPAIM
Yixing Wu, Alexander Shieh, Steven Y. Cen, Bino A. Varghese, Darryl H. Hwang, William Wallace, C.-C. Jay Kuo, Vinay A. Duddalwar
2023 conf
SIPAIM
Katharine Sweetland, Karen Chu, Xiaomeng Lei, Steven Y. Cen, Vinay A. Duddalwar, Bino A. Varghese, Darryl H. Hwang
2023 conf
SIPAIM
Jonathan L. Le, Sean S. Kumar, Alireza Ghoreifi, Farshad S. Moghaddam, Hooman Djaladat, Darryl H. Hwang, Vinay A. Duddalwar
2023 conf
SIPAIM
Hesam Setayesh, Kunyu Li, Shubham Arun Gujar, Xiaomeng Lei, Vinay A. Duddalwar, Steven Y. Cen, Darryl H. Hwang, Bino A. Varghese
2022 J jnl
Eng. Comput.
Ragheb Raad, Dhruv Patel, Chiao-Chih Hsu, Vijay Kothapalli, Deep Ray, Bino A. Varghese, Darryl Hwang, Inderbir S. Gill, Vinay A. Duddalwar, Assad A. Oberai
2021 J jnl
J. Digit. Imaging
Mingxi Lei, Bino A. Varghese, Darryl Hwang, Steven Y. Cen, Xiaomeng Lei, Desai Bhushan, Afshin Azadikhah, Assad A. Oberai, Vinay A. Duddalwar
2020 J jnl
CoRR
Mingxi Lei, Bino A. Varghese, Darryl Hwang, Steven Y. Cen, Xiaomeng Lei, Afshin Azadikhah, Desai Bhushan, Assad A. Oberai, Vinay A. Duddalwar
2020 J jnl
IEEE Trans. Medical Imaging
Chenyang Zhao, Thomas Martin, Xingfeng Shao, Jeffry R. Alger, Vinay A. Duddalwar, Danny J. J. Wang
2020 conf
BCB
Bino A. Varghese, Frank Chen, Darryl Hwang, Suzanne L. Palmer, Andre Luis De Castro Abreu, Osamu Ukimura, Monish Aron, Manju Aron, Inderbir S. Gill, Vinay A. Duddalwar, Gaurav Pandey
2020 J jnl
CoRR
Amit Kharat, Vinay A. Duddalwar, Krishna Saoji, Ashrika Gaikwad, Viraj Kulkarni, Gunjan Naik, Rohit Lokwani, Swaraj Kasliwal, Sudeep Kondal, Tanveer Gupte, Aniruddha Pant
2018 J jnl
J. Digit. Imaging
Gautam Kunapuli, Bino A. Varghese, Priya Ganapathy, Desai Bhushan, Steven Y. Cen, Manju Aron, Inderbir S. Gill, Vinay A. Duddalwar
2018 J jnl
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Fernando Yepes-Calderon, Darryl Hwang, Rebecca Johnson, Desai Bhushan, Niharika Gajawelli, Steven Y. Cen, Brian Quinn, Felix Yap, Inderbir S. Gill, Natasha Leporé, Vinay A. Duddalwar
2017 conf
SIPAIM
Darryl H. Hwang, Passant Mohamed, Bino A. Varghese, Steven Y. Cen, Vinay A. Duddalwar
2017 conf
SIPAIM
Bino A. Varghese, Darryl Hwang, Passant Mohamed, Steven Y. Cen, Christopher Deng, Michael Chang, Vinay A. Duddalwar
2016 conf
Biomedical Applications in Molecular, Structural, and Functional Imaging
Fernando Yepes-Calderon, Rebecca Johnson, Yi Lao, Darryl Hwang, Julie Coloigner, Felix Yap, Desai Bhushan, Phillip M. Cheng, Inderbir S. Gill, Vinay A. Duddalwar, Natasha Leporé
2013 J jnl
J. Digit. Imaging
Phillip M. Cheng, Linda A. Vachon, Vinay A. Duddalwar
redb/extractors/macho_extractors/macho_dylibs.py
← Index redb/extractors/macho_extractors/macho_dylibs.py python
import hashlib
import inspect
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.macho_extractor import MachOExtractor
from redb.models.dataclasses import MachODylib


class MachODylibExtractor(MachOExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        macho=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            macho,
        )
        self.elastic_index = self.index_prefix + "-macho_dylibs"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_dylibs(self):
        """Extract dynamic library information from all architectures in the MachO binary."""
        self.log.debug(inspect.currentframe().f_code.co_name)
        dylibs = []

        if not self.macho:
            return dylibs

        try:
            # Get architectures using new API (already parsed in base class)
            architectures = self.macho.get_architectures()
            if not architectures:
                return dylibs

            # Process each architecture
            for arch_name in architectures:
                # Get dylib commands using new API with architecture parameter
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Extract dylib commands for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        # Create dylib dataclass with architecture info
                        macho_dylib = MachODylib(
                            dylib_name=dylib_name,
                            dylib_timestamp=dylib_cmd.get('dylib_timestamp', 0),
                            dylib_current_version=dylib_cmd.get('dylib_current_version', 0),
                            dylib_compat_version=dylib_cmd.get('dylib_compat_version', 0),
                        )
                        # Add architecture info to the dylib
                        macho_dylib.architecture = arch_name
                        dylibs.append(macho_dylib)

                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name} in {self.hash.sha256}: {e}'
                        )
                        continue

            return dylibs

        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {e}")
            return dylibs

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            dylibs = self._extract_dylibs()
            return dylibs
        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {e}")
            return None

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

            # Get architectures (macho is already parsed in base class)
            try:
                architectures = self.macho.get_architectures()
                is_fat = len(architectures) > 1
            except Exception as e:
                self.log.error(f"Could not get architectures: {e}")
                return None

            data = []
            current_time = datetime.now(timezone.utc)

            # Loop through each architecture (1 for single, multiple for FAT)
            for arch_name in architectures:
                # Get architecture-specific sha256
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_header_raw = self.macho.get_macho_header(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)
                    arch_cputype_raw = arch_header_raw.get('cputype', 0) if arch_header_raw else 0
                except Exception as e:
                    self.log.warning(f"Could not get arch-specific data for {arch_name}: {e}")
                    arch_sha256 = self.sha256
                    arch_cputype_raw = 0

                # Get dylib commands for this architecture
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Process each dylib for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        data.append([
                            arch_sha256,                          # sha256 (architecture-specific)
                            dylib_name,                           # dylib_name
                            dylib_cmd.get('dylib_timestamp', 0), # dylib_timestamp
                            dylib_cmd.get('dylib_current_version', 0), # dylib_current_version
                            dylib_cmd.get('dylib_compat_version', 0),  # dylib_compat_version
                            current_time,                         # analysis_date
                        ])
                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name}: {e}'
                        )
                        continue

            column_names = [
                'sha256',
                'dylib_name', 'dylib_timestamp', 'dylib_current_version',
                'dylib_compat_version', 'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)',
                'String', 'UInt32', 'UInt32',
                'UInt32', 'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

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