Ion Marghescu

36 papers A 1Journal 9Unranked 26
YearRankTypeTitle / Venue / Authors
2025 conf
MENACOMM
Rasha Al Hasnawi, Ion Marghescu, Amjed A Al-Mudhafar
2025 J jnl
Big Data Cogn. Comput.
Sama Hussein Al-Gburi, Kanar Alaa Al-Sammak, Ion Marghescu, Claudia Cristina Oprea, Ana-Maria Claudia Dragulinescu, George Suciu, Khattab M. Ali Alheeti, Nayef Abdulwahab Mohammed Alduais, Nawar Alaa Hussein Al-Sammak
2024 J jnl
Sensors
Rasha Al Hasnawi, Ion Marghescu
2024 conf
COMM
Kanar Alaa Al-Sammak, Sama Hussein Al-Gburi, Ion Marghescu, Ana-Maria Claudia Dragulinescu, Cristina Marghescu, Nawar Alaa Hussein Al-Sammak
2024 conf
COMM
Sama Hussein Al-Gburi, Kanar Alaa Al-Sammak, Ion Marghescu, Claudia Cristina Oprea, Khattab M. Ali Alheeti, Nadia Ali Abbas Almosa
2024 conf
COMM
Rasha Al Hasnawi, Ion Marghescu, Alexandru Rusu-Casandra
2022 conf
COMM
Florin-Lucian Chiper, Alexandru Martian, Daniel-Ionut Muscalu, Calin Vladeanu, Ion Marghescu
2022 conf
COMM
Kanar Alaa Al-Sammak, Sama Hussein Al-Gburi, Ion Marghescu
2022 J jnl
Sensors
Florin-Lucian Chiper, Alexandru Martian, Calin Vladeanu, Ion Marghescu, Razvan Craciunescu, Octavian Fratu
2022 conf
COMM
Ekaterina Svertoka, Ion Marghescu, Alexandru Rusu-Casandra, Radim Burget, Jiri Hosek, Pavel Masek, Aleksandr Ometov
2021 J jnl
Data
Pavel Masek, Martin Stusek, Ekaterina Svertoka, Jan Pospisil, Radim Burget, Elena Simona Lohan, Ion Marghescu, Jiri Hosek, Aleksandr Ometov
2021 conf
BlackSeaCom
Alexandru Martian, Florin-Lucian Chiper, Razvan Craciunescu, Calin Vladeanu, Octavian Fratu, Ion Marghescu
2021 J jnl
Sensors
Ekaterina Svertoka, Salwa Saafi, Alexandru Rusu-Casandra, Radim Burget, Ion Marghescu, Jiri Hosek, Aleksandr Ometov
2020 conf
COMM
Alexandru Martian, Florin-Lucian Chiper, Omer Mohammed Khodayer Al-Dulaimi, Mahmood Jalal Ahmad Al Sammarraie, Calin Vladeanu, Ion Marghescu
2020 conf
COMM
Ekaterina Svertoka, Alexandra Rusu-Casandra, Ion Marghescu
2019 A conf
ECAI
M. I. Husni, M. K. Hussein, Nayef Abdulwahab Mohammed Alduais, Jiwa Abdullah, Ion Marghescu
2018 J jnl
EAI Endorsed Trans. Mob. Commun. Appl.
Elena-Madalina Oproiu, Alexandru Vulpe, Octavian Fratu, Ion Marghescu
2018 J jnl
Sensors
Emad Alnawafa, Ion Marghescu
2017 conf
FABULOUS
Elena-Madalina Oproiu, Catalin Costea, Marius Nicusor Nedelcu, Marius Iordache, Ion Marghescu
2017 conf
RoEduNet
Emad Alnawafa, Ion Marghescu
2016 conf
COMM
Madalina Oproiu, Vlad Boldan, Ion Marghescu
2016 conf
COMM
Radu-Ovidiu Darlosan, Ion Marghescu, Constantin-Alexandru Lica
2016 conf
RoEduNet
Emad Alnawafa, Ion Marghescu
2015 conf
BlackSeaCom
Mirel Paun, Ion Marghescu, Razvan Tamas
2015 conf
FABULOUS
Madalina Oproiu, Alexandru Vulpe, Ion Marghescu
2015 conf
FABULOUS
Cosmina-Valentina Nastase, Octavian Fratu, Alexandru Martian, Ion Marghescu
2014 conf
COMM
Valentin Stanciu, Alexandru Martian, Cezar Socoteanu, Ion Marghescu
2014 conf
COMM
Ammar Ali Sahrab, Ion Marghescu
2014 conf
VITAE
Alexandru Martian, Bogdan Tudor Sandu, Octavian Fratu, Ion Marghescu, Razvan Craciunescu
2013 conf
WPMC
Alexandru Martian, Razvan Craciunescu, Alexandru Vulpe, Octavian Fratu, Ion Marghescu
2011 J jnl
Inf.
Elena Simona Lohan, Alexandru Rusu-Casandra, Oana Cramariuc, Ion Marghescu, Bogdan Cramariuc
2010 conf
AICT
Adrian Florin Paun, Calin Vladeanu, Ion Marghescu, Safwan El Assad, Jean-Claude Carlach, Raymond Quéré
2010 conf
EUSIPCO
Adrian Florin Paun, Calin Vladeanu, Ion Marghescu, Safwan El Assad, Alexandru Martian
2010 J jnl
Signal Process.
Calin Vladeanu, Safwan El Assad, Jean-Claude Carlach, Raymond Quéré, Ion Marghescu
2010 conf
AICT
Alexandru Martian, Ioana-Manuela Marcu, Ion Marghescu
2009 conf
EUSIPCO
Calin Vladeanu, Safwan El Assad, Jean-Claude Carlach, Raymond Quéré, Ion Marghescu
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"