Naram Mhaisen

40 papers A* 1B 2Journal 29Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Knowl. Based Syst.
Noor Khial, Mhd Saria Allahham, Naram Mhaisen, Loay Ismail, Mohamed Abdalla Mabrok, Amr Mohamed
2026 J jnl
CoRR
Naram Mhaisen, George Iosifidis
2025 J jnl
Expert Syst. Appl.
Noor Khial, Naram Mhaisen, Mohamed Abdalla Mabrok, Amr Mohamed
2025 conf
ICC
Noor Khial, Naram Mhaisen, Loay Ismail, Mohamed Abdalla Mabrok, Amr Mohamed
2025 A* conf
ICML
Naram Mhaisen, George Iosifidis
2025 J jnl
CoRR
Naram Mhaisen, George Iosifidis
2025 J jnl
CoRR
George Iosifidis, Naram Mhaisen, Douglas J. Leith
2025 J jnl
IEEE Trans. Netw. Serv. Manag.
Menna Helmy, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad
2024 conf
L4DC
Naram Mhaisen, George Iosifidis
2024 conf
CCECE
Noor Khial, Naram Mhaisen, Mohamed Abdalla Mabrok, Amr Mohamed
2024 J jnl
IEEE Trans. Mob. Comput.
Naram Mhaisen, George Iosifidis, Douglas J. Leith
2024 conf
CDC
Naram Mhaisen, George Iosifidis
2024 J jnl
CoRR
Naram Mhaisen, George Iosifidis
2024 J jnl
CoRR
Menna Helmy, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad
2023 J jnl
CoRR
Naram Mhaisen, George Iosifidis
2023 B conf
WCNC
Jingjing Zheng, Kai Li, Naram Mhaisen, Wei Ni, Eduardo Tovar, Mohsen Guizani
2023 conf
SIGMETRICS (Abstracts)
Naram Mhaisen, Abhishek Sinha, Georgios S. Paschos, George Iosifidis
2023 J jnl
IEEE Internet Things J.
Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani
2022 J jnl
Future Gener. Comput. Syst.
Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Zaher Dawy, Wassim Nasreddine
2022 J jnl
CoRR
Jingjing Zheng, Kai Li, Naram Mhaisen, Wei Ni, Eduardo Tovar, Mohsen Guizani
2022 J jnl
IEEE Internet Things J.
Jingjing Zheng, Kai Li, Naram Mhaisen, Wei Ni, Eduardo Tovar, Mohsen Guizani
2022 J jnl
IEEE Trans. Cogn. Commun. Netw.
Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani
2022 J jnl
CoRR
Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani
2022 J jnl
IEEE Trans. Netw. Sci. Eng.
Naram Mhaisen, Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Mohsen Guizani
2022 B conf
IFIP Networking
Naram Mhaisen, George Iosifidis, Douglas J. Leith
2022 J jnl
CoRR
Naram Mhaisen, George Iosifidis, Douglas J. Leith
2022 J jnl
CoRR
Naram Mhaisen, George Iosifidis, Douglas J. Leith
2022 J jnl
IEEE Trans. Netw. Sci. Eng.
Naram Mhaisen, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Mohsen Guizani
2022 J jnl
CoRR
Naram Mhaisen, Abhishek Sinha, Georgios S. Paschos, Georgios Iosifidis
2022 J jnl
IEEE Commun. Surv. Tutorials
Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani
2021 J jnl
CoRR
Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Zaher Dawy, Wassim Nasreddine
2021 J jnl
Proc. ACM Meas. Anal. Comput. Syst.
Naram Mhaisen, Abhishek Sinha, Georgios S. Paschos, George Iosifidis
2021 J jnl
CoRR
Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani
2021 conf
ICC
Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani
2021 J jnl
CoRR
Alaa Awad Abdellatif, Naram Mhaisen, Zina Chkirbene, Amr Mohamed, Aiman Erbad, Mohsen Guizani
2020 J jnl
CoRR
Naram Mhaisen, Alaa Awad, Amr Mohamed, Aiman Erbad, Mohsen Guizani
2020 J jnl
IEEE Access
Naram Mhaisen, Qutaibah M. Malluhi
2020 conf
ICIoT
Naram Mhaisen, Noora Fetais, Ahmed M. Massoud
2020 J jnl
Future Gener. Comput. Syst.
Naram Mhaisen, Noora Fetais, Aiman Erbad, Amr Mohamed, Mohsen Guizani
2018 conf
ICCA
Naram Mhaisen, Omran Abazeed, Youssef Al Hariri, Abdullah Alsalemi, Osama Halabi
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"