Veysel Aslantas

25 papers A 2C 1Journal 11Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Int. J. Mach. Learn. Cybern.
Resul Özdemir, Murat Tasyürek, Veysel Aslantas
2025 J jnl
Expert Syst. Appl.
Resul Özdemir, Murat Tasyürek, Veysel Aslantas
2025 J jnl
IEEE Access
Mehmet Elmaci, Ahmet Nusret Toprak, Veysel Aslantas
2024 J jnl
IEEE Access
Huseyin Ozkaya, Veysel Aslantas
2024 J jnl
Multim. Tools Appl.
Mehmet Elmaci, Ahmet Nusret Toprak, Veysel Aslantas
2024 J jnl
Knowl. Based Syst.
Resul Özdemir, Murat Tasyürek, Veysel Aslantas
2021 conf
ISDFS
Mehmet Elmaci, Ahmet Nusret Toprak, Veysel Aslantas
2021 conf
SIU
Veysel Aslantas, Ahmet Nusret Toprak, Mehmet Elmaci
2017 J jnl
Comput. Electr. Eng.
Veysel Aslantas, Ahmet Nusret Toprak
2017 conf
SIU
Ahmet Nusret Toprak, Veysel Aslantas
2016 conf
SIU
Muhammed Z. Karakusak, Kemal Ozdemir, Veysel Aslantas
2015 J jnl
J. Web Eng.
Veysel Aslantas, Rifat Kurban, Ahmet Nusret Toprak, Emre Bendes
2014 conf
ICINCO (1)
Veysel Aslantas, Emre Bendes
2014 conf
ICINCO (1)
Veysel Aslantas, Ahmet Nusret Toprak
2014 J jnl
IET Image Process.
Veysel Aslantas, Emre Bendes, Rifat Kurban, Ahmet Nusret Toprak
2011 conf
ICDP
Veysel Aslantas, Emre Bendes, Ahmet Nusret Toprak, Rifat Kurban
2010 J jnl
Expert Syst. Appl.
Veysel Aslantas, Rifat Kurban
2009 C conf
INDIN
Veysel Aslantas, Rifat Kurban
2008 A conf
ICME
Veysel Aslantas, Saban Ozer, Serkan Ozturk
2008 A conf
ICME
Veysel Aslantas, A. Latif Dogan, Serkan Ozturk
2008 conf
World Congress on Engineering (Selected Papers)
Veysel Aslantas
2007 conf
ICARIS
Veysel Aslantas, Saban Ozer, Serkan Ozturk
2007 conf
ISSPA
Veysel Aslantas
2005 conf
TAINN
Veysel Aslantas, Mehmet Tunckanat
1999 J jnl
Pattern Recognit.
Duc Truong Pham, Veysel Aslantas
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"