Jamal Benhra

15 papers Journal 6Unranked 9
YearRankTypeTitle / Venue / Authors
2025 conf
IN4PL (2)
Mohammed-Ali Ejjanfi, Jamal Benhra
2025 conf
NISS
Benslimane Tariq, Rajaa Benabbou, Salma Mouatassim, Jamal Benhra
2025 J jnl
Oper. Res. Forum
Kadim Lahcen Nadime, Jamal Benhra, Rajaa Benabbou, Salma Mouatassim
2024 conf
IN4PL (1)
Kadim Lahcen Nadime, Jamal Benhra, Rajaa Benabbou, Salma Mouatassim
2024 conf
IN4PL (2)
Zahira Marzak, Rajaa Benabbou, Salma Mouatassim, Jamal Benhra
2024 conf
IN4PL (2)
Bouhia Hanaa, Jamal Benhra, Wissal Ed-dehbi
2023 J jnl
Int. J. Inf. Technol. Proj. Manag.
Fatima-Zahra Eddoug, Rajaa Benabbou, Jamal Benhra
2023 conf
CiSt
Benslimane Tariq, Salma Mouatassim, Rajaa Benabbou, Jamal Benhra
2022 conf
SADASC
Ali Mhaned, Salma Mouatassim, Mounia El Haji, Jamal Benhra
2022 conf
SADASC
Adil Waguaf, Rajaa Benabbou, Jamal Benhra
2020 J jnl
Int. J. Inf. Decis. Sci.
Salma Mouatassim, Ahmed Haroun Sabry, Mustapha Ahlaqqach, Jamal Benhra
2020 conf
SADASC
Mustapha Ahlaqqach, Jamal Benhra, Salma Mouatassim, Safia Lamrani
2019 J jnl
Int. J. Online Biomed. Eng.
Abdelkabir Bacha, Ahmed Haroun Sabry, Jamal Benhra
2018 J jnl
Int. J. Oper. Res. Inf. Syst.
Ahmed Haroun Sabry, Jamal Benhra, Abdelkabir Bacha
2015 J jnl
Int. J. Appl. Metaheuristic Comput.
Hicham El Hassani, Said Benkachcha, Jamal Benhra
redb/extractors/macho_extractors/macho_exports.py
← Index redb/extractors/macho_extractors/macho_exports.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 MachOExport


class MachOExportExtractor(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_exports"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_exports(self, arch_name=None):
        """Extract export information from the MachO binary for a specific architecture."""
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            # Get exported symbols using new API for specific architecture
            exported_symbols = self.macho.get_exported_symbols(arch=arch_name)

            # Extract all exported symbols (may be empty for some binaries)
            # Handle None or empty dict
            if not exported_symbols:
                exported_symbols = {}
            all_symbols = []
            for dylib_name, symbols in exported_symbols.items():
                # Process symbol names
                for symbol in symbols:
                    if isinstance(symbol, bytes):
                        symbol = symbol.decode('utf-8', errors='replace')
                    all_symbols.append(symbol)

            # Create export dataclass
            macho_export = MachOExport(
                macho_exports_total=len(all_symbols),
                macho_export_symbols=all_symbols  # Empty list is fine, but None is not allowed for Array type
            )

            return macho_export

        except Exception as e:
            self.log.error(f"Error extracting MachO exports 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 exports for each architecture
                results = []
                for arch_name in architectures:
                    exports = self._extract_exports(arch_name)
                    if exports:
                        exports.arch_identifier = arch_name
                        results.append(exports)
                return results
            else:
                # Single architecture - return single result
                return self._extract_exports(architectures[0] if architectures else None)
        except Exception as e:
            self.log.error(f"Error extracting MachO exports: {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

            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 exports for this architecture
                macho_export = self._extract_exports(arch_name)
                if not macho_export:
                    continue

                data.append([
                    arch_sha256,                          # sha256 (arch-specific)
                    macho_export.macho_exports_total,     # macho_exports_total
                    macho_export.macho_export_symbols,    # macho_export_symbols (keep as array!)
                    current_time,                         # analysis_date
                ])

            column_names = [
                'sha256',
                'macho_exports_total', 'macho_export_symbols',
                'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)',
                'UInt32', 'Array(Nullable(String))',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

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