Rahul Krishnan Pathinarupothi

33 papers B 1C 2Misc 1Journal 12Unranked 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comput. Biol. Medicine
Sreedhar Vijayakumar, Sashi Niranjan Nair, Aryalakshmi C. S, Anandakrishnan N, Georg Gutjahr, Neeraj Sidharthan, Dipu T. Sathyapalan, Merlin Moni, Rahul Krishnan Pathinarupothi
2025 J jnl
IEEE Access
Vidya S. Nair, G. D. Heshan Niranga, Aryalakshmi C. S, Dipu T. Sathyapalan, Thushara Madathil, Rahul Krishnan Pathinarupothi
2025 J jnl
Int. J. Imaging Syst. Technol.
Sneha Noble, Uma Gopalakrishnan, D. K. Vijaykumar, Rahul Krishnan Pathinarupothi
2024 conf
BHI
G. Sanjeevi, Uma Gopalakrishnan, Rahul Krishnan Pathinarupothi, Arya CJ, Kaustuv M. Talukdar, Subramania Iyer K
2024 J jnl
Artif. Intell. Medicine
G. Sanjeevi, Uma Gopalakrishnan, Rahul Krishnan Pathinarupothi, Thushara Madathil
2024 J jnl
IEEE Access
Shereena Shaji, Rahul Krishnan Pathinarupothi, Ramesh Guntha, Ravi Sankaran, Prakash Ishwar, K. A. Unnikrishna Menon, Maneesha Vinodini Ramesh
2023 Misc conf
COMSNETS
Shereena Shaji, Ravi Sankaran, Ramesh Guntha, Rahul Krishnan Pathinarupothi
2023 J jnl
J. Medical Syst.
G. Sanjeevi, Uma Gopalakrishnan, Rahul Krishnan Pathinarupothi, Thushara Madathil
2023 J jnl
J. Medical Syst.
G. Sanjeevi, Uma Gopalakrishnan, Rahul Krishnan Pathinarupothi, Thushara Madathil
2023 conf
CinC
Subhash Khambampati, Sushanth Reddy Dondapati, Chaithanya Kalyan Reddy Bhuma, Bharadwaj Madiraju, Rahul Krishnan Pathinarupothi
2023 C conf
BIBE
G. Sanjeevi, Uma Gopalakrishnan, Rahul Krishnan Pathinarupothi, Arya CJ, Subramania Iyer K
2021 conf
GHTC
Shereena Shaji, Rahul Krishnan Pathinarupothi, Ekanath Srihari Rangan, K. A. Unnikrishna Menon, Maneesha Vinodini Ramesh
2021 J jnl
Comput. Commun.
Preeja Pradeep, Shivsubramani Krishnamoorthy, Rahul Krishnan Pathinarupothi, Athanasios V. Vasilakos
2021 conf
BIBM
Rahul Krishnan Pathinarupothi, Dipu T. Sathyapalan, Merlin Moni, K. A. Unnikrishna Menon, Maneesha Vinodini Ramesh
2019 conf
PerCom Workshops
Rahul Krishnan Pathinarupothi
2019 J jnl
IEEE Internet Things J.
Rahul Krishnan Pathinarupothi, P. Durga, Ekanath Srihari Rangan
2018 J jnl
BMC Medical Informatics Decis. Mak.
Rahul Krishnan Pathinarupothi, P. Durga, Ekanath Srihari Rangan
2018 conf
EMBC
Rahul Krishnan Pathinarupothi, Ekanath Rangan, P. Durga
2018 conf
DH
P. Durga, Rahul Krishnan Pathinarupothi, Ekanath Srihari Rangan, Prakash Ishwar
2017 conf
EMBC
Rahul Krishnan Pathinarupothi, Ekanath Srihari Rangan
2017 conf
BHI
Rahul Krishnan Pathinarupothi, Vinaykumar R., Ekanath Rangan, E. Gopalakrishnan, K. P. Soman
2017 conf
ICHI
Rahul Krishnan Pathinarupothi, Dhara Prathap J, Ekanath Srihari Rangan, E. Gopalakrishnan, Vinaykumar R., Soman K. P
2016 J jnl
EAI Endorsed Trans. Self Adapt. Syst.
Dilraj Nadarajan, Rakesh K, Rahul Krishnan Pathinarupothi, Maneesha Vinodini Ramesh
2016 conf
BHI
Anjali Arunan, Rahul Krishnan Pathinarupothi, Maneesha Vinodini Ramesh
2016 conf
MobiHealth
Ekanath Rangan, Rahul Krishnan Pathinarupothi
2016 B conf
MobiHoc
Rahul Krishnan Pathinarupothi, Bithin Alangot, P. Venkat Rangan
2016 conf
UbiComp Adjunct
Rahul Krishnan Pathinarupothi, Ekanath Rangan
2016 conf
eHealth 360°
Rahul Krishnan Pathinarupothi, Ekanath Rangan
2016 conf
MobiWIS
Rahul Krishnan Pathinarupothi, Bithin Alangot, Maneesha Vinodini Ramesh, Krishnashree Achuthan, P. Venkat Rangan
2016 conf
GHTC
Rahul Krishnan Pathinarupothi, Ekanath Rangan
2016 C conf
HealthCom
Rahul Krishnan Pathinarupothi, Maneesha Vinodini Ramesh, Ekanath Rangan
2016 J jnl
EAI Endorsed Trans. Future Intell. Educ. Environ.
Rahul Krishnan Pathinarupothi, Maneesha V. Ramesh
2016 conf
Wireless Health
Rahul Krishnan Pathinarupothi, Ekanath Rangan, Bithin Alangot, Maneesha V. Ramesh
redb/extractors/macho_extractors/macho_universal.py
← Index redb/extractors/macho_extractors/macho_universal.py python
import hashlib
import inspect
import json
from datetime import datetime, timezone
from typing import Any, List

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


class MachOUniversalExtractor(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_universal"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_universal_info(self):
        """Extract Universal/FAT binary architecture information using new API."""
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            # Parse at Universal level first (new API requirement)
            self.macho.parse()

            # Get architectures using new API
            architectures = self.macho.get_architectures()
            if not architectures:
                return None

            # Check if this is a FAT binary
            is_fat = len(architectures) > 1

            architecture_info = []

            # Extract info for each architecture
            for arch_name in architectures:
                try:
                    # Get general info for this architecture
                    general_info = self.macho.get_general_info(arch=arch_name)

                    # Get header info for this architecture
                    header_info = self.macho.get_macho_header(arch=arch_name)

                    # Get architecture-specific MachO instance for detailed analysis
                    arch_macho = self.macho.get_macho_for_arch(arch_name)

                    # Calculate architecture slice hash (if we can access the raw data)
                    arch_sha256 = None
                    arch_md5 = None
                    arch_sha1 = None

                    # For FAT binaries, try to get slice-specific info
                    if is_fat and arch_macho:
                        try:
                            # This would require access to the slice data
                            # For now, we'll use the general file info
                            arch_sha256 = general_info.get('SHA256', '') if general_info else ''
                            arch_md5 = general_info.get('MD5', '') if general_info else ''
                            arch_sha1 = general_info.get('SHA1', '') if general_info else ''
                        except Exception as e:
                            self.log.debug(f"Could not extract slice hash for {arch_name}: {e}")

                    architecture_info.append({
                        'architecture': arch_name,
                        'arch_sha256': arch_sha256,
                        'arch_md5': arch_md5,
                        'arch_sha1': arch_sha1,
                        'cputype': header_info.get('cputype') if header_info else None,
                        'cpusubtype': header_info.get('cpusubtype') if header_info else None,
                        'filetype': header_info.get('filetype') if header_info else None
                    })

                except Exception as e:
                    self.log.warning(f"Error extracting info for architecture {arch_name}: {e}")
                    continue

            # Create Universal dataclass
            macho_universal = MachOUniversal(
                is_fat=is_fat,
                architecture_count=len(architectures),
                architectures=architectures,
                architecture_info=architecture_info,
                fat_hash=self.sha256,
                fat_md5=self.md5,
                fat_sha1=self.sha1
            )

            return macho_universal

        except Exception as e:
            self.log.error(f"Error extracting MachO Universal info: {e}")
            return None

    def _extract_fat_architecture_mappings(self):
        """Extract detailed FAT binary architecture mappings for database relationships."""
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return []

        try:
            # Parse at Universal level first
            self.macho.parse()

            # Get architectures using new API
            architectures = self.macho.get_architectures()
            if not architectures or len(architectures) <= 1:
                return []  # Not a FAT binary

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

            # For each architecture, create a mapping record
            for arch_name in architectures:
                try:
                    # Get general info
                    general_info = self.macho.get_general_info()

                    # Create mapping record for FAT binary architecture table
                    mapping = {
                        'fat_hash': self.sha256,  # SHA256 of the FAT binary
                        'architecture': arch_name,
                        'arch_sha256': general_info.get('SHA256', '') if general_info else '',  # Will need proper slice extraction
                        'arch_md5': general_info.get('MD5', '') if general_info else '',
                        'arch_sha1': general_info.get('SHA1', '') if general_info else '',
                        'arch_filename': f"{general_info.get('Filename', '')}.{arch_name}" if general_info else '',
                        'analysis_date': current_time
                    }
                    mappings.append(mapping)

                except Exception as e:
                    self.log.warning(f"Error creating mapping for architecture {arch_name}: {e}")
                    continue

            return mappings

        except Exception as e:
            self.log.error(f"Error extracting FAT architecture mappings: {e}")
            return []

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

    def extract_fat_binary_basic_properties_data(self):
        """Extract data needed for creating multiple BasicProperties records for FAT binaries.

        Returns:
            Tuple: (is_fat, fat_sha256, architectures_info) where:
                - is_fat: bool indicating if this is a FAT binary
                - fat_sha256: SHA256 of the FAT wrapper
                - architectures_info: dict with arch names and their hashes
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return False, None, {}

        try:
            # Parse at Universal level first
            self.macho.parse()

            # Get architectures using new API
            architectures = self.macho.get_architectures()
            if not architectures or len(architectures) <= 1:
                return False, None, {}  # Not a FAT binary

            # This is a FAT binary
            architectures_info = {}

            for arch_name in architectures:
                try:
                    # Get general info for this architecture
                    general_info = self.macho.get_general_info(arch=arch_name)

                    if general_info:
                        architectures_info[arch_name] = {
                            'sha256': general_info.get('SHA256', ''),
                            'md5': general_info.get('MD5', ''),
                            'sha1': general_info.get('SHA1', ''),
                            'filename': general_info.get('Filename', ''),
                            'filesize': general_info.get('Filesize', 0)
                        }
                except Exception as e:
                    self.log.warning(f"Error extracting info for architecture {arch_name}: {e}")
                    continue

            return True, self.sha256, architectures_info

        except Exception as e:
            self.log.error(f"Error extracting FAT binary data: {e}")
            return False, None, {}

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            universal_info = self.extract()
            if universal_info is None:
                return None

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

            # Get architecture info for the binary
            try:
                if universal_info.is_fat:
                    # For FAT binaries, architecture fields should be NULL since it contains multiple
                    architecture_raw = None
                    architecture_str = None
                else:
                    # For single-arch binaries, get the actual architecture info
                    header_info = self.macho.get_macho_header()
                    architecture_raw = header_info.get('cputype', 0) if header_info else 0
                    architecture_str = universal_info.architectures[0] if universal_info.architectures else None
            except Exception as e:
                self.log.warning(f"Could not get architecture info for binary: {e}")
                architecture_raw = None
                architecture_str = None

            # Main Universal binary record
            data.append([
                self.sha256,                              # sha256
                self.md5,                                 # md5
                self.sha1,                                # sha1
                None,                                     # parent_sha256 (always None for main FAT binary)
                architecture_raw,                         # architecture (raw CPU type)
                architecture_str,                         # architecture_str (human-readable)
                universal_info.is_fat,                    # is_fat
                universal_info.architecture_count,       # architecture_count
                universal_info.architectures,            # architectures (array)
                json.dumps(universal_info.architecture_info[0] if len(universal_info.architecture_info) == 1 else {"architectures": universal_info.architecture_info}) if universal_info.architecture_info else None,  # architecture_info (JSON)
                current_time,                             # analysis_date
            ])

            column_names = [
                'sha256', 'md5', 'sha1', 'parent_sha256', 'architecture', 'architecture_str',
                'is_fat', 'architecture_count', 'architectures', 'architecture_info',
                'analysis_date'
            ]

            column_type_names = [
                'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                'Nullable(FixedString(64))', 'Nullable(UInt32)', 'LowCardinality(Nullable(String))',
                'UInt8', 'UInt32', 'Array(LowCardinality(String))', 'JSON',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

    def prepare_fat_architecture_export_data(self) -> Any:
        """Prepare export data for the FAT binary architecture mapping table."""
        mappings = self._extract_fat_architecture_mappings()
        if not mappings:
            return None

        data = []
        for mapping in mappings:
            data.append([
                mapping['fat_hash'],
                mapping['architecture'],
                mapping['arch_sha256'],
                mapping['arch_md5'],
                mapping['arch_sha1'],
                mapping['arch_filename'],
                mapping['analysis_date'],
            ])

        column_names = [
            'fat_hash', 'architecture', 'arch_sha256', 'arch_md5', 'arch_sha1',
            'arch_filename', 'analysis_date'
        ]

        column_type_names = [
            'FixedString(64)', 'LowCardinality(String)', 'FixedString(64)',
            'FixedString(32)', 'FixedString(40)', 'String',
            'DateTime64(3, \'UTC\')'
        ]

        return (data, column_names, column_type_names)

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

    # def get_fat_architecture_table(self) -> str:
    #     """Return table name for FAT binary architecture mappings."""
    #     return "redb_fat_binary_architectures"