Ibtehal Mahmoud Aburezeq

14 papers Journal 4Unranked 10
YearRankTypeTitle / Venue / Authors
2025 conf
SNAMS
Mohamed Elsayd El-Zeiny, Imad Ibraheem Mostafa, Ibtehal Mahmoud Aburezeq, Suad Abdalkareem Alwaely
2024 conf
IDSTA
Mohamed Elsayd El-Zeiny, Suad Abdalkareem Alwaely, Ibtehal Mahmoud Aburezeq, Mohammad Salman Alkhazaleh, Salem Khalil Alaqtash, Nagwa Ibrahim Abdo
2024 conf
SNAMS
Asmaa Almahdawi, Mohamed Elsayd El-Zeiny, Ibtehal Mahmoud Aburezeq, Abdellateef Al Qawasmi, Kareem Mansour Asran
2024 conf
ACIT
Firas Tayseer Mohammad Ayasrah, Khaleel Alarabi, Ibtehal Mahmoud Aburezeq, Ahmad Y. A. Bani Ahmad, Musab Mustafa Hijazi
2024 conf
ACIT
Abdellateef Abdelhafez Alqawasmi, Asmaa Jumah Almahdawi, Najeh Rajeh Ibrahim Alsalhi, Ibtehal Mahmoud Aburezeq, Munther Balawi
2024 conf
SNAMS
Rahima Aissani, Sawsan Taha, Ibtehal Mahmoud Aburezeq, Shirin Abdallah Alimour, Abdellateef Al Qawasmi
2023 conf
SNAMS
Shirin Abdallah Alimour, Abdellateef Al Qawasmi, Ibtehal Mahmoud Aburezeq, Rahima Aissani, Sawsan Taha, Sherin Alamassi
2023 conf
SNAMS
Mohamed Elsayd El-Zeiny, Moustafa Elmetwaly Kandeel, Ibtehal Mahmoud Aburezeq, Mohamed Abdel-Fattah Abdo, Mahmoud Elsaved Abdelghaffar
2023 conf
SNAMS
Khaleel Alarabi, Firas Tayseer Mohammad Ayasrah, Mohannad Alkhalaileh, Ibtehal Mahmoud Aburezeq, Hanan Shaher Almarashdi, Mohammad Aleassa
2022 conf
SNAMS
Mohammed T. Nuseir, Ahmad Ibrahim Aljumah, Ghaleb A. El Refae, Ibtehal Mahmoud Aburezeq
2020 J jnl
Int. J. Technol. Hum. Interact.
Ibtehal Mahmoud Aburezeq, Fawzi Fayez Ishtaiwa-Dweikat, Marielle Patronis
2019 J jnl
Int. J. Inf. Commun. Technol. Educ.
Marielle Patronis, Fawzi Fayez Ishtaiwa-Dweikat, Mouawiya Al Awad, Ibtehal Mahmoud Aburezeq
2017 J jnl
Int. J. Distance Educ. Technol.
Ibtehal Mahmoud Aburezeq, Fawzi Fayez Ishtaiwa-Dweikat
2016 J jnl
Int. J. Web Based Learn. Teach. Technol.
Fawzi Fayez Ishtaiwa-Dweikat, Ibtehal Mahmoud Aburezeq
redb/extractors/macho_extractors/macho_imports.py
← Index redb/extractors/macho_extractors/macho_imports.py python
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 MachOImport


class MachOImportExtractor(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_imports"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_imports(self, arch_name=None):
        """Extract import information from the MachO binary for a specific architecture.

        Handles machofile v2026.2.4+ API where get_imported_functions() returns:
        Dict[str, List[Dict]] where each dict has {'name': str, 'sources': [str, ...]}
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            # Get imported functions using API for specific architecture
            imported_functions = self.macho.get_imported_functions(arch=arch_name)
            if not imported_functions:
                return None

            # Keep the library→functions mapping (like PE does)
            library_names = []
            imports_with_mapping = []  # List of {library: [(name, source), ...]}

            for dylib_name, functions in imported_functions.items():
                # v2026.2.4+: dylib_name is already str, but handle bytes for compatibility
                if isinstance(dylib_name, bytes):
                    dylib_name = dylib_name.decode('utf-8', errors='replace')
                library_names.append(dylib_name)

                # Process function entries
                func_list = []
                for func_entry in functions:
                    # v2026.2.4+: func_entry is {'name': str, 'sources': [str, ...]}
                    if isinstance(func_entry, dict):
                        func_name = func_entry.get('name', '')
                        # Join sources if multiple, take first if single
                        sources = func_entry.get('sources', [])
                        import_source = sources[0] if sources else None
                        func_list.append((func_name, import_source))
                    else:
                        # Legacy format: func_entry is str or bytes
                        if isinstance(func_entry, bytes):
                            func_entry = func_entry.decode('utf-8', errors='replace')
                        func_list.append((func_entry, None))

                imports_with_mapping.append({dylib_name: func_list})

            # Count total functions
            total_functions = sum(len(list(d.values())[0]) for d in imports_with_mapping)

            # Create import dataclass with mapping preserved
            macho_import = MachOImport(
                macho_imports_total=total_functions,
                macho_import_libraryName=library_names if library_names else None,
                macho_import_functions=imports_with_mapping if imports_with_mapping else None
            )

            return macho_import

        except Exception as e:
            self.log.error(f"Error extracting MachO imports for arch {arch_name}: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            # Get architectures (macho is already parsed in base class)
            architectures = self.macho.get_architectures()
            if len(architectures) > 1:
                # FAT binary - return list of imports for each architecture
                results = []
                for arch_name in architectures:
                    imports = self._extract_imports(arch_name)
                    if imports:
                        imports.arch_identifier = arch_name
                        results.append(imports)
                return results
            else:
                # Single architecture - return single result
                return self._extract_imports(architectures[0] if architectures else None)
        except Exception as e:
            self.log.error(f"Error extracting MachO imports: {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

            # Flatten the data - one row per function import (like PE imports)
            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 imports for this architecture
                macho_import = self._extract_imports(arch_name)
                if not macho_import or not macho_import.macho_import_functions:
                    continue

                # Flatten to one row per (library, function) pair
                for lib_funcs in macho_import.macho_import_functions:
                    for lib, funcs in lib_funcs.items():
                        for func_name, import_source in funcs:
                            data.append([
                                arch_sha256,        # sha256 (arch-specific)
                                lib,                # library_name
                                func_name,          # function_name
                                import_source,      # import_source (chained_fixups, bind_opcodes, symtab)
                                current_time,       # analysis_date
                            ])

            column_names = [
                'sha256',
                'library_name', 'function_name', 'import_source',
                'analysis_date'
            ]

            if not data:
                return None

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

            return (data, column_names, column_type_names)

        return None

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