Hamed Rezazadegan Tavakoli

50 papers A* 5A 4B 3C 5Journal 18Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Peter Fasogbon, Ugurcan Budak, Patrice Rondao Alface, Hamed Rezazadegan Tavakoli
2026 J jnl
IEEE Trans. Multim.
Homayun Afrabandpey, Hamed Rezazadegan Tavakoli
2025 C conf
ISM
Khoa Dang Pham, Farhad Pakdaman, Honglei Zhang, Hamed Rezazadegan Tavakoli, Nam Le, Jukka I. Ahonen, Moncef Gabbouj
2025 J jnl
CoRR
Homayun Afrabandpey, Hamed Rezazadegan Tavakoli
2024 J jnl
CoRR
Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela, Esa Rahtu
2024 A* conf
UIST
Yue Jiang, Zixin Guo, Hamed Rezazadegan Tavakoli, Luis A. Leiva, Antti Oulasvirta
2024 J jnl
CoRR
Yue Jiang, Zixin Guo, Hamed Rezazadegan Tavakoli, Luis A. Leiva, Antti Oulasvirta
2024 J jnl
Int. J. Semantic Comput.
Jukka I. Ahonen, Nam Le, Honglei Zhang, Antti Hallapuro, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu
2024 J jnl
CoRR
Jukka I. Ahonen, Nam Le, Honglei Zhang, Antti Hallapuro, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu
2023 A conf
BMVC
Amirhossein Hassankhani, Hamed Rezazadegan Tavakoli, Esa Rahtu
2023 C conf
ISM
Jukka I. Ahonen, Nam Le, Honglei Zhang, Antti Hallapuro, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu
2023 conf
ICME Workshops
Honglei Zhang, Nam Le, Francesco Cricri, Jukka I. Ahonen, Hamed Rezazadegan Tavakoli
2023 A* conf
CHI
Yue Jiang, Luis A. Leiva, Hamed Rezazadegan Tavakoli, Paul R. B. Houssel, Julia Kylmälä, Antti Oulasvirta
2022 B conf
ICIP
Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela, Esa Rahtu
2022 conf
ICME Workshops
Jaakko Laitinen, Alexandre Mercat, Jarno Vanne, Hamed Rezazadegan Tavakoli, Francesco Cricri, Emre Aksu, Miska M. Hannuksela
2022 J jnl
CoRR
Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela
2022 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Heiner Kirchhoffer, Paul Haase, Wojciech Samek, Karsten Müller, Hamed Rezazadegan Tavakoli, Francesco Cricri, Emre B. Aksu, Miska M. Hannuksela, Wei Jiang, Wei Wang, Shan Liu, Swayambhoo Jain, Shahab Hamidi-Rad, Fabien Racapé, Werner Bailer
2021 C conf
ISM
Joni Seppälä, Honglei Zhang, Nam Le, Ramin Ghaznavi Youvalari, Francesco Cricri, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela, Esa Rahtu
2021 C conf
VCIP
Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, María Santamaría, Yat-Hong Lam, Miska M. Hannuksela
2021 C conf
ISM
Jukka I. Ahonen, Ramin Ghaznavi Youvalari, Nam Le, Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu
2021 A conf
ICME
Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Esa Rahtu
2021 J jnl
CoRR
Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Esa Rahtu
2020 J jnl
CoRR
Samad Zabihi, Hamed Rezazadegan Tavakoli, Ali Borji
2020 conf
ETRA Short Papers
Hamed Rezazadegan Tavakoli, Ali Borji, Juho Kannala, Esa Rahtu
2019 A* conf
ICCV
Mohammad Tavakolian, Hamed Rezazadegan Tavakoli, Abdenour Hadid
2019 A conf
WACV
Hamed Rezazadegan Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji
2019 A* conf
ICCV
Sen He, Hamed Rezazadegan Tavakoli, Ali Borji, Nicolas Pugeault
2019 A conf
WACV
Zakaria Laskar, Hamed Rezazadegan Tavakoli, Juho Kannala
2018 J jnl
IEEE Multim.
Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen
2017 J jnl
CoRR
Hamed Rezazadegan Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen
2017 J jnl
Neurocomputing
Hamed Rezazadegan Tavakoli, Ali Borji, Jorma Laaksonen, Esa Rahtu
2017 J jnl
CoRR
Hamed Rezazadegan Tavakoli, Jorma Laaksonen, Esa Rahtu
2017 J jnl
CoRR
Hamed Rezazadegan Tavakoli, Jorma Laaksonen
2016 conf
ACCV Workshops (1)
Hamed Rezazadegan Tavakoli, Jorma Laaksonen
2016 conf
iV&L-MM@MM
Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen
2016 J jnl
CoRR
Hamed Rezazadegan Tavakoli, Ali Borji, Jorma Laaksonen, Esa Rahtu
2016 conf
VISIGRAPP (4: VISAPP)
Iman Alikhani, Hamed Rezazadegan Tavakoli, Esa Rahtu, Jorma Laaksonen
2016 conf
ISVC (2)
Hamed Rezazadegan Tavakoli, Hanieh Poostchi, Jaakko Peltonen, Jorma Laaksonen, Samuel Kaski
2016 conf
IPTA
Mohamed Soliman, Hamed Rezazadegan Tavakoli, Jorma Laaksonen
2014 conf
ECCV Workshops (2)
Agheleh Yaghoobi, Hamed Rezazadegan Tavakoli, Juha Röning
2014 conf
ECCV Workshops (2)
Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä
2014 B conf
ICPR
Hamed Rezazadegan Tavakoli, Victoria Yanulevskaya, Esa Rahtu, Janne Heikkilä, Nicu Sebe
2013 A* conf
ICCV
Ali Borji, Hamed Rezazadegan Tavakoli, Dicky N. Sihite, Laurent Itti
2013 conf
SCIA
Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä
2013 B conf
ACIVS
Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä
2013 J jnl
Image Vis. Comput.
Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä
2012 conf
ACCV Workshops (1)
Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä
2011 conf
SCIA
Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä
2010 conf
IWACI
Hamed Rezazadegan Tavakoli, Hamid-Reza Pourreza, Saeed Rahati Quchani
2009 conf
ACCV (2)
Hamed Rezazadegan Tavakoli, Hamid Reza Pourreza
redb/extractors/macho_extractor.py
← Index redb/extractors/macho_extractor.py python
import logging
from abc import ABCMeta, abstractmethod
import inspect
import sys
import os

import machofile

from redb.extractors.extractor import Extractor

logger = logging.getLogger(__name__)


@abstractmethod
class MachOExtractor(Extractor, metaclass=ABCMeta):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        macho=None,
    ):
        # Read binary and parse machofile BEFORE calling super().__init__
        # This avoids reading the file twice
        with open(filepath, "rb") as f:
            binary_data = f.read()

        # Parse machofile with binary data
        self.macho = macho if macho else self._generate_machofile_object(binary_data)

        # Extract hashes from machofile to pass to parent
        precomputed_hashes = None
        if self.macho:
            try:
                general_info = self.macho.get_general_info()
                if general_info:
                    # For FAT binaries, get_general_info() returns dict with 'fat' key
                    # For single-arch, it returns the info directly
                    if 'fat' in general_info:
                        fat_info = general_info['fat']
                        precomputed_hashes = {
                            'MD5': fat_info.get('MD5'),
                            'SHA1': fat_info.get('SHA1'),
                            'SHA256': fat_info.get('SHA256'),
                        }
                    else:
                        precomputed_hashes = {
                            'MD5': general_info.get('MD5'),
                            'SHA1': general_info.get('SHA1'),
                            'SHA256': general_info.get('SHA256'),
                        }
            except Exception as e:
                logger.debug(f"Could not get hashes from machofile: {e}")

        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            precomputed_hashes=precomputed_hashes,
        )

        # Store binary data so base class doesn't re-read
        self._binary_data = binary_data

    @property
    def binary(self):
        """Override to use already-read binary data."""
        return self._binary_data

    def _generate_machofile_object(self, binary_data):
        """Generate and parse a machofile object from binary data."""
        macho = None
        try:
            macho = machofile.UniversalMachO(data=binary_data)
            if not macho:
                raise Exception("Empty file?")

            # Parse the MachO object once during initialization
            macho.parse()

        except Exception as e:
            logger.error(f"Format error parsing MachO: {e}")
        return macho

    # def _is_macho_file(self):
    #     """Check if the file is a valid Mach-O binary."""
    #     try:
    #         if not self.macho:
    #             return False
            
    #         # For Universal/FAT binaries, check if any architecture is valid
    #         if hasattr(self.macho, 'is_fat') and self.macho.is_fat:
    #             return len(self.macho.architectures) > 0
    #         else:
    #             # Single architecture binary
    #             return hasattr(self.macho, 'macho') and self.macho.macho is not None
    #     except Exception as e:
    #         self.log.error(f"Error checking Mach-O file: {e}")
    #         return False

    def _is_signed(self):
        """Check if the Mach-O binary is code signed using new API."""
        try:
            if not self.macho:
                return False

            # Get architectures using new API
            architectures = self.macho.get_architectures()

            # For each architecture, check if signed
            for arch in architectures:
                try:
                    signature_info = self.macho.get_code_signature_info(arch=arch)
                    if signature_info and signature_info.get('signed', False):
                        return True
                except Exception:
                    continue

            return False
        except Exception as e:
            self.log.error(f"Error checking Mach-O signature: {e}")
            return False

    def _get_architectures(self):
        """Get list of architectures in the Mach-O binary using new API."""
        try:
            if not self.macho:
                return []

            # Use new API method
            architectures = self.macho.get_architectures()
            return architectures if architectures else []
        except Exception as e:
            self.log.error(f"Error getting architectures: {e}")
            return []

    # def _get_macho_for_arch(self, arch_name=None):
    #     """Get MachO instance for specific architecture or default."""
    #     try:
    #         if not self.macho:
    #             return None
            
    #         if hasattr(self.macho, 'is_fat') and self.macho.is_fat:
    #             if arch_name:
    #                 return self.macho.architectures.get(arch_name)
    #             else:
    #                 # Return first available architecture
    #                 return next(iter(self.macho.architectures.values())) if self.macho.architectures else None
    #         else:
    #             # Single architecture binary
    #             return self.macho.macho if hasattr(self.macho, 'macho') else None
    #     except Exception as e:
    #         self.log.error(f"Error getting MachO for architecture: {e}")
    #         return None

    # def _get_formatted_header_values(self, header):
    #     """Get both raw and human-readable header values."""
    #     try:
    #         macho_instance = self._get_macho_for_arch()
    #         if not macho_instance:
    #             return None
            
    #         # Parse the MachO if not already parsed
    #         if not hasattr(macho_instance, 'header') or not macho_instance.header:
    #             macho_instance.parse()
            
    #         # Get human-readable values using machofile's formatting methods
    #         magic_str = macho_instance.format_magic_value(header.get('magic', 0))
            
    #         # Simple CPU type mapping since CPU_TYPE_MAP is not exposed
    #         cputype = header.get('cputype', 0)
    #         if cputype == 0x7:
    #             cputype_str = "x86"
    #         elif cputype == 0x1000007:
    #             cputype_str = "x86_64"
    #         elif cputype == 0xC:
    #             cputype_str = "ARM"
    #         elif cputype == 0x100000C:
    #             cputype_str = "ARM 64-bit"
    #         else:
    #             cputype_str = str(cputype)
            
    #         cpusubtype_str = macho_instance.decode_cpusubtype(header.get('cputype', 0), header.get('cpusubtype', 0))
    #         filetype_str = macho_instance.format_file_type(header.get('filetype', 0))
    #         flags_str = macho_instance.decode_flags(header.get('flags', 0))
            
    #         return {
    #             'raw': {
    #                 'magic': header.get('magic', 0),
    #                 'cputype': header.get('cputype', 0),
    #                 'cpusubtype': header.get('cpusubtype', 0),
    #                 'filetype': header.get('filetype', 0),
    #                 'flags': header.get('flags', 0),
    #             },
    #             'formatted': {
    #                 'magic_str': magic_str,
    #                 'cputype_str': cputype_str,
    #                 'cpusubtype_str': cpusubtype_str,
    #                 'filetype_str': filetype_str,
    #                 'flags_str': flags_str,
    #             }
    #         }
    #     except Exception as e:
    #         self.log.error(f"Error formatting header values: {e}")
    #         return None