Haidar Samet

36 papers Journal 32Unranked 4
YearRankTypeTitle / Venue / Authors
2023 J jnl
IEEE Trans. Ind. Informatics
Masoud Jalil, Haidar Samet, Teymoor Ghanbari
2023 J jnl
IEEE Trans. Ind. Electron.
Mohammad Amin Jarrahi, Haidar Samet, Teymoor Ghanbari
2023 J jnl
IEEE Access
Saeedeh Ketabipour, Haidar Samet, Mohammad Mohammadi, Qi Li, Vladimir V. Terzija
2022 J jnl
IEEE Trans. Ind. Informatics
Haidar Samet, Saeedeh Ketabipour, Mousa Afrasiabi, Shahabodin Afrasiabi, Mohammad Mohammadi
2022 J jnl
IEEE Trans. Ind. Electron.
Masoud Jalil, Haidar Samet, Teymoor Ghanbari, Mohsen Tajdinian
2022 J jnl
IEEE Trans. Instrum. Meas.
Mohsen Tajdinian, Haidar Samet, Ziad M. Ali
2022 J jnl
IEEE Trans. Ind. Electron.
Mohsen Tajdinian, Haidar Samet
2022 J jnl
IEEE Trans. Ind. Electron.
Farzaneh Shojaei, Haidar Samet, Teymoor Ghanbari
2022 J jnl
IEEE Trans. Ind. Electron.
Shahabodin Afrasiabi, Mousa Afrasiabi, Benyamin Parang, Mohammad Mohammadi, Haidar Samet, Tomislav Dragicevic
2022 J jnl
IEEE Trans. Ind. Electron.
Ali Amiri, Haidar Samet, Teymoor Ghanbari
2022 J jnl
IEEE Trans. Smart Grid
Hasan Khosravi, Haidar Samet, Mohsen Tajdinian
2021 J jnl
Comput. Electr. Eng.
Haidar Samet, Mahdi Khosravi, Teymoor Ghanbari, Mohsen Tajdinian
2021 J jnl
IEEE Trans. Instrum. Meas.
Masoud Jalil, Haidar Samet, Teymoor Ghanbari, Mohsen Tajdinian
2021 J jnl
IEEE Syst. J.
Seyed Salman Fatemi, Haidar Samet
2021 J jnl
IEEE Syst. J.
Saeed Ansari, Haidar Samet, Teymoor Ghanbari
2021 J jnl
IEEE Trans. Instrum. Meas.
Farzaneh Shojaei, Haidar Samet, Teymoor Ghanbari
2021 J jnl
IEEE Syst. J.
Mohammad Sadegh Payam, Haidar Samet, Teymoor Ghanbari
2020 J jnl
IEEE Trans. Ind. Electron.
Mohammad Ahmadi, Haidar Samet, Teymoor Ghanbari
2020 J jnl
IEEE Syst. J.
Seyed Salman Fatemi, Haidar Samet
2020 J jnl
IEEE Access
Mahdi Amini, Haidar Samet, Ali Reza Seifi, Mujahed Aldhaifallah, Ziad M. Ali
2020 J jnl
IEEE Syst. J.
Mohammad Amin Jarrahi, Haidar Samet, Teymoor Ghanbari
2020 J jnl
IEEE Trans. Ind. Informatics
Mohammad Ahmadi, Haidar Samet, Teymoor Ghanbari
2019 J jnl
IEEE Trans. Ind. Electron.
Abdollah Kavousi-Fard, Wencong Su, Tao Jin, Ameena Saad Al-Sumaiti, Haidar Samet, Abbas Khosravi
2019 J jnl
IEEE Trans. Ind. Informatics
Reza Sadeghi, Haidar Samet, Teymoor Ghanbari
2019 J jnl
IEEE Syst. J.
Haidar Samet, Teymoor Ghanbari, Mohammad Amin Jarrahi, Hamid Jafarabadi Ashtiani
2019 J jnl
IEEE Syst. J.
Ehsan Moshksar, Teymoor Ghanbari, Haidar Samet, Martin Guay
2019 J jnl
Comput. Electr. Eng.
Haidar Samet, Mohammad Reisi, Fatemeh Marzbani
2019 J jnl
IEEE Syst. J.
Mohammad Amin Jarrahi, Haidar Samet, Teymoor Ghanbari
2019 J jnl
Comput. Electr. Eng.
Arsalan Hadaeghi, Haidar Samet, Teymoor Ghanbari
2018 J jnl
IEEE Trans. Smart Grid
Haidar Samet, Ehsan Azhdari, Teymoor Ghanbari
2015 conf
IWANN (2)
Mohammad Amin Jarrahi, Haidar Samet, Hossein Raayatpisheh, Ahmad Jafari, Mohsen Rakhshan
2014 J jnl
Expert Syst. Appl.
Abdollah Kavousi-Fard, Haidar Samet, Fatemeh Marzbani
2012 conf
AIAI (1)
Najmeh Faridnia, Haidar Samet, Babak Doostani Dezfuli
2012 conf
AIAI (1)
Haidar Samet, Farshid Nasrfard Jahromi, Arash Dehghani, Afsaneh Narimani
2011 conf
ISMIS Industrial Session
Abdollah Kavousifard, Haidar Samet
2011 J jnl
Neurocomputing
Abdollah Kavousifard, Haidar Samet
redb/extractors/macho_extractors/macho_similarity_hashes.py
← Index redb/extractors/macho_extractors/macho_similarity_hashes.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


class MachOSimilarityHashExtractor(MachOExtractor):
    """Extract Mach-O similarity hashes using machofile API.

    Similarity hashes are MD5 fingerprints of sorted, deduplicated binary components:
    - dylib_hash: MD5 of dynamic library names
    - import_hash: MD5 of imported function names
    - export_hash: MD5 of exported symbol names
    - entitlement_hash: MD5 of entitlement names and array values
    - symhash: MD5 of external undefined symbols

    For FAT binaries:
    - Inserts one row per architecture slice with per-slice hashes
    - Inserts one row for the FAT container with combined hashes

    For single-arch binaries:
    - Inserts one row with that architecture's hashes

    Note: parent_sha256 and architecture relationships are tracked in redb_basic_properties,
    not duplicated here. Use JOIN with redb_basic_properties when needed.
    """

    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_hashes"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_similarity_hashes(self, arch_name=None):
        """Extract similarity hashes for a specific architecture."""
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            similarity_hashes = self.macho.get_similarity_hashes(arch=arch_name)
            return similarity_hashes if similarity_hashes else None
        except Exception as e:
            self.log.error(f"Error extracting similarity hashes for arch {arch_name}: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            if not self.macho:
                return None

            architectures = self.macho.get_architectures()
            if not architectures:
                return None

            if len(architectures) > 1:
                # FAT binary - return combined hashes + per-arch hashes
                results = []

                # First add combined hashes for the FAT container
                all_hashes = self.macho.get_similarity_hashes()
                combined_hashes = all_hashes.get('combined', {}) if all_hashes else {}
                if combined_hashes:
                    combined_hashes['arch_identifier'] = 'fat'
                    results.append(combined_hashes)

                # Then add per-arch hashes
                for arch_name in architectures:
                    hashes = self._extract_similarity_hashes(arch_name)
                    if hashes:
                        hashes['arch_identifier'] = arch_name
                        results.append(hashes)
                return results
            else:
                # Single architecture - return single result
                return self._extract_similarity_hashes(architectures[0])
        except Exception as e:
            self.log.error(f"Error extracting similarity hashes: {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

            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)

            # For FAT binaries, first insert a row for the container with combined hashes
            if is_fat:
                all_hashes = self.macho.get_similarity_hashes()  # Without arch returns all including 'combined'
                combined_hashes = all_hashes.get('combined', {}) if all_hashes else {}
                if combined_hashes:
                    data.append([
                        self.sha256,                                    # sha256 (FAT container)
                        combined_hashes.get('dylib_hash'),              # dylib_hash
                        combined_hashes.get('import_hash'),             # import_hash
                        combined_hashes.get('export_hash'),             # export_hash
                        combined_hashes.get('entitlement_hash'),        # entitlement_hash
                        combined_hashes.get('symhash'),                 # symhash
                        current_time,                                   # analysis_date
                    ])

            # Insert rows for each architecture slice
            for arch_name in architectures:
                # Get architecture-specific sha256
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)
                except Exception as e:
                    self.log.warning(f"Could not get arch-specific sha256 for {arch_name}: {e}")
                    arch_sha256 = self.sha256

                # Get similarity hashes for this architecture
                similarity_hashes = self._extract_similarity_hashes(arch_name)
                if not similarity_hashes:
                    continue

                data.append([
                    arch_sha256,                                    # sha256 (arch-specific)
                    similarity_hashes.get('dylib_hash'),            # dylib_hash
                    similarity_hashes.get('import_hash'),           # import_hash
                    similarity_hashes.get('export_hash'),           # export_hash
                    similarity_hashes.get('entitlement_hash'),      # entitlement_hash
                    similarity_hashes.get('symhash'),               # symhash
                    current_time,                                   # analysis_date
                ])

            if not data:
                return None

            column_names = [
                'sha256',
                'macho_dylib_hash', 'macho_import_hash', 'macho_export_hash',
                'macho_entitlement_hash', 'macho_symhash',
                'analysis_date'
            ]

            column_type_names = [
                'FixedString(64)',
                'Nullable(FixedString(32))', 'Nullable(FixedString(32))', 'Nullable(FixedString(32))',
                'Nullable(FixedString(32))', 'Nullable(FixedString(32))',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

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