Okba Taouali

32 papers A 2B 2Journal 20Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Symmetry
Maroua Said, Okba Taouali, Kamel Zidi, Wad Ghaban
2025 J jnl
Comput. Mater. Continua
Khaoula Ben Abdellafou, Kamel Zidi, Ahamed Aljuhani, Okba Taouali, Mohamed Faouzi Harkat
2024 J jnl
IEEE Internet Things J.
Ahamed Aljuhani, Prabhat Kumar, Rehab Alanazi, Turki Albalawi, Okba Taouali, A. K. M. Najmul Islam, Neeraj Kumar, Mamoun Alazab
2024 J jnl
J. Ambient Intell. Humaniz. Comput.
Sawssen Bacha, Ahamed Aljuhani, Khawla Ben Abdellafou, Okba Taouali, Noureddine Liouane, Mamoun Alazab
2024 J jnl
Neural Comput. Appl.
Imen Hamrouni, Khaoula Ben Abdellafou, Majed Aborokbah, Okba Taouali
2024 J jnl
Eng. Appl. Artif. Intell.
Kamel Zidi, Khaoula Ben Abdellafou, Ahamed Aljuhani, Okba Taouali, Mohamed Faouzi Harkat
2023 J jnl
Neural Comput. Appl.
Imen Hamrouni, Hajer Lahdhiri, Khaoula Ben Abdellafou, Ahamed Aljuhani, Okba Taouali
2023 J jnl
Comput. Syst. Sci. Eng.
Okba Taouali, Sawcen Bacha, Khaoula Ben Abdellafou, Ahamed Aljuhani, Kamel Zidi, Rehab Alanazi, Mohamed Faouzi Harkat
2022 J jnl
Concurr. Comput. Pract. Exp.
Sawcen Bacha, Khawla Ben Abdellafou, Ahamed Aljuhani, Okba Taouali, Noureddine Liouane
2021 J jnl
IEEE Access
Hajer Lahdhiri, Ahamed Aljuhani, Khaoula Ben Abdellafou, Okba Taouali
2021 J jnl
J. Intell. Fuzzy Syst.
Syrine Neffati, Khaoula Ben Abdellafou, Ahamed Aljuhani, Okba Taouali
2021 conf
SSD
Imen Hamrouni, Hajer Lahdhiri, Okba Taouali, Kais Bouzrara
2020 J jnl
Comput. J.
Syrine Neffati, Khaoula Ben Abdellafou, Okba Taouali, Kais Bouzrara
2020 J jnl
J. Intell. Manuf.
Maroua Said, Khaoula Ben Abdellafou, Okba Taouali
2019 J jnl
Int. J. Imaging Syst. Technol.
Syrine Neffati, Khaoula Ben Abdellafou, Ines Jaffel, Okba Taouali, Kais Bouzrara
2019 conf
SSD
Syrine Neffati, Okba Taouali, Kais Bouzrara
2019 J jnl
Trans. Inst. Meas. Control
Hajer Lahdhiri, Khaoula Ben Abdellafou, Okba Taouali, Majdi Mansouri, Ouajdi Korbaa
2018 conf
ECC
Radhia Fazai, Majdi Mansouri, Okba Taouali, Mohamed Faouzi Harkat, Nasreddine Bouguila, Mohamed N. Nounou
2018 conf
SSD
Radhia Fezai, Majdi Mansouri, Okba Taouali, Mohamed Faouzi Harkat, Nasreddine Bouguila
2018 J jnl
Trans. Inst. Meas. Control
Ines Jaffel, Okba Taouali, Mohamed Faouzi Harkat, Hassani Messaoud
2018 B conf
SMC
Radhia Fazai, Majdi Mansouri, Okba Taouali, Mohamed Faouzi Harkat, Hazem N. Nounou
2017 A conf
ICCAD
Ines Jaffel, Radhia Fezai, Okba Taouali, Mohamed Faouzi Harkat, Hassani Messaoud
2017 A conf
ICCAD
Radhia Fezai, Ines Jaffel, Okba Taouali, Mohamed Faouzi Harkat, Nasreddine Bouguila
2016 B conf
SMC
Hamza Nejib, Okba Taouali, Nasreddine Bouguila
2015 conf
ICSC
Ines Jaffel, Okba Taouali, Ilyes Elaissi, Hédi Massaoud
2015 conf
ICSC
Okba Taouali
2014 J jnl
IET Signal Process.
Okba Taouali, Ilyes Elaissi, Hassani Messaoud
2013 J jnl
IMA J. Math. Control. Inf.
Ines Jaffel, Okba Taouali, Elyes Elaissi, Hassani Messaoud
2012 J jnl
Artif. Intell. Rev.
Okba Taouali, Ilyes Elaissi, Hassani Messaoud
2012 J jnl
Neural Comput. Appl.
Okba Taouali, Ilyes Elaissi, Hassani Messaoud
2009 conf
ICONS
Okba Taouali, Saidi Nabiha, Hassani Messaoud
2009 conf
ICONS
Okba Taouali, Ilyes Elaissi, Nathalie Villa, Hassani Messaoud
redb/extractors/macho_extractors/macho_dylibs.py
← Index redb/extractors/macho_extractors/macho_dylibs.py python
import hashlib
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 MachODylib


class MachODylibExtractor(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_dylibs"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_dylibs(self):
        """Extract dynamic library information from all architectures in the MachO binary."""
        self.log.debug(inspect.currentframe().f_code.co_name)
        dylibs = []

        if not self.macho:
            return dylibs

        try:
            # Get architectures using new API (already parsed in base class)
            architectures = self.macho.get_architectures()
            if not architectures:
                return dylibs

            # Process each architecture
            for arch_name in architectures:
                # Get dylib commands using new API with architecture parameter
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Extract dylib commands for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        # Create dylib dataclass with architecture info
                        macho_dylib = MachODylib(
                            dylib_name=dylib_name,
                            dylib_timestamp=dylib_cmd.get('dylib_timestamp', 0),
                            dylib_current_version=dylib_cmd.get('dylib_current_version', 0),
                            dylib_compat_version=dylib_cmd.get('dylib_compat_version', 0),
                        )
                        # Add architecture info to the dylib
                        macho_dylib.architecture = arch_name
                        dylibs.append(macho_dylib)

                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name} in {self.hash.sha256}: {e}'
                        )
                        continue

            return dylibs

        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {e}")
            return dylibs

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            dylibs = self._extract_dylibs()
            return dylibs
        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {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 dylib commands for this architecture
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Process each dylib for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        data.append([
                            arch_sha256,                          # sha256 (architecture-specific)
                            dylib_name,                           # dylib_name
                            dylib_cmd.get('dylib_timestamp', 0), # dylib_timestamp
                            dylib_cmd.get('dylib_current_version', 0), # dylib_current_version
                            dylib_cmd.get('dylib_compat_version', 0),  # dylib_compat_version
                            current_time,                         # analysis_date
                        ])
                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name}: {e}'
                        )
                        continue

            column_names = [
                'sha256',
                'dylib_name', 'dylib_timestamp', 'dylib_current_version',
                'dylib_compat_version', 'analysis_date'
            ]

            if not data:
                return None

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

            return (data, column_names, column_type_names)

        return None

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