Karar Mahmoud

47 papers Journal 44Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Access
Hossam H. H. Mousa, Karar Mahmoud, Matti Lehtonen
2025 J jnl
IEEE Trans. Smart Grid
Abdelfatah Ali, Mostafa F. Shaaban, Karar Mahmoud
2024 J jnl
IEEE Access
Hossam H. H. Mousa, Karar Mahmoud, Matti Lehtonen
2024 conf
ISGT EUROPE
Hossam H. H. Mousa, Karar Mahmoud, Matti Lehtonen
2024 J jnl
IEEE Access
Shahzeb Ahmad Khan, Attique Ur Rehman, Ammar Arshad, Mohammed H. Alqahtani, Karar Mahmoud, Matti Lehtonen
2024 conf
ISGT EUROPE
Hossam H. H. Mousa, Karar Mahmoud, Matti Lehtonen
2024 J jnl
IEEE Access
Mohamed Badawi, Shimaa A. Ibrahim, Diaa-Eldin A. Mansour, Sayed A. Ward, Adel El-Faraskoury, Mohsen Ghali, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
2023 J jnl
IEEE Access
Nagwa F. Ibrahim, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
2023 J jnl
IEEE Trans. Veh. Technol.
Abdelfatah Ali, Mostafa F. Shaaban, Ahmed S. A. Awad, Maher A. Azzouz, Matti Lehtonen, Karar Mahmoud
2022 J jnl
IEEE Access
Hussein Abubakr, Josep M. Guerrero, Juan C. Vasquez, Tarek Hassan Mohamed, Karar Mahmoud, Mohamed M. F. Darwish, Yasser Ahmed Dahab
2022 J jnl
IEEE Access
Danyal Afgan Khan, Ammar Arshad, Matti Lehtonen, Karar Mahmoud
2022 J jnl
IEEE Access
Hussein Abubakr, Juan C. Vasquez, Karar Mahmoud, Mohamed M. F. Darwish, Josep M. Guerrero
2022 J jnl
IEEE Access
Prashant, Md. Sarwar, Anwar Shahzad Siddiqui, Sherif S. M. Ghoneim, Karar Mahmoud, Mohamed M. F. Darwish
2022 J jnl
IEEE Syst. J.
Abdelfatah Ali, Karar Mahmoud, Matti Lehtonen
2022 J jnl
IEEE Access
Osama E. Gouda, Mohamed M. F. Darwish, Karar Mahmoud, Matti Lehtonen, Tamer M. Elkhodragy
2022 J jnl
IEEE Access
Karar Mahmoud, Poria Astero, Pasi Peltoniemi, Matti Lehtonen
2022 J jnl
IEEE Access
Minh-Quang Tran, Mahmoud Elsisi, Meng-Kun Liu, Viet Q. Vu, Karar Mahmoud, Mohamed M. F. Darwish, Almoataz Y. Abdelaziz, Matti Lehtonen
2022 J jnl
IEEE Access
Mohamed Badawi, Shimaa A. Ibrahim, Diaa-Eldin A. Mansour, Adel El-Faraskoury, Sayed A. Ward, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
2021 J jnl
IEEE Access
Ahmed Bedawy, Naoto Yorino, Karar Mahmoud, Matti Lehtonen
2021 J jnl
IEEE Access
Mahmoud N. Ali, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
2021 J jnl
IEEE Access
Mahmoud Elsisi, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
2021 J jnl
IEEE Trans. Smart Grid
Karar Mahmoud, Matti Lehtonen
2021 J jnl
Sensors
Mahmoud Elsisi, Minh-Quang Tran, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
2021 J jnl
IEEE Access
Salman Harasis, Karar Mahmoud, Saher A. Albatran, Khaled Alzaareer, Qusay Salem
2021 J jnl
IEEE Access
Mahmoud Elsisi, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
2021 J jnl
IEEE Access
Sherif S. M. Ghoneim, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
2021 J jnl
IEEE Access
Minh-Quang Tran, Mahmoud Elsisi, Karar Mahmoud, Meng-Kun Liu, Matti Lehtonen, Mohamed M. F. Darwish
2021 J jnl
IEEE Access
Mohamed Abdel-Nasser, Karar Mahmoud, Matti Lehtonen
2021 J jnl
IEEE Syst. J.
Karar Mahmoud, Mohamed Abdel-Nasser, Matti Lehtonen
2021 J jnl
IEEE Trans. Ind. Informatics
Abdelfatah Ali, Karar Mahmoud, Matti Lehtonen
2021 J jnl
IEEE Syst. J.
Abdelfatah Ali, Karar Mahmoud, David Raisz, Matti Lehtonen
2021 J jnl
Sensors
Mahmoud N. Ali, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
2021 J jnl
Sensors
Ahmed F. Bendary, Almoataz Y. Abdelaziz, Mohamed M. Ismail, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
2021 J jnl
Sensors
Mahmoud Elsisi, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
2021 J jnl
IEEE Trans. Ind. Informatics
Mohamed Abdel-Nasser, Karar Mahmoud, Matti Lehtonen
2021 J jnl
IEEE Access
Mahmoud N. Ali, Mahmoud Soliman, Karar Mahmoud, Josep M. Guerrero, Matti Lehtonen, Mohamed M. F. Darwish
2021 J jnl
IEEE Access
Mahmoud Elsisi, Minh-Quang Tran, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
2021 J jnl
Sensors
Sayed A. Ward, Adel El-Faraskoury, Mohamed Badawi, Shimaa A. Ibrahim, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
2021 J jnl
IEEE Access
Mahmoud Elsisi, Minh-Quang Tran, Karar Mahmoud, Diaa-Eldin A. Mansour, Matti Lehtonen, Mohamed M. F. Darwish
2020 J jnl
IEEE Access
Mohamed A. Abouelatta, Sayed A. Ward, Ahmad M. Sayed, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
2020 J jnl
Int. J. Interact. Multim. Artif. Intell.
Karar Mahmoud, Mohamed Abdel-Nasser, Heba Kashef, Domenec Puig, Matti Lehtonen
2020 J jnl
IEEE Trans. Veh. Technol.
Abdelfatah Ali, Karar Mahmoud, David Raisz, Matti Lehtonen
2020 J jnl
IEEE Syst. J.
Karar Mahmoud, Mahmoud M. Hussein, Mohamed Abdel-Nasser, Matti Lehtonen
2020 conf
ICONETSI
Muhammad Abdillah, Awan Uji Krismanto, Teguh Aryo Nugroho, Herlambang Setiadi, Nita Indriani Pertiwi, Karar Mahmoud, Murman Dwi Prasetio
2019 J jnl
Neural Comput. Appl.
Mohamed Abdel-Nasser, Karar Mahmoud
2019 J jnl
IEEE Access
Karar Mahmoud, Matti Lehtonen
2018 J jnl
Int. J. Interact. Multim. Artif. Intell.
Mohamed Abdel-Nasser, Karar Mahmoud, Heba Kashef
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"