Ramazan Tekin

20 papers Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comput. Biol. Medicine
Merve Akkus, Murat Karabatak, Ramazan Tekin
2024 conf
ISDFS
Merve Akkus, Murat Karabatak, Ramazan Tekin
2024 J jnl
Comput. Biol. Chem.
Bahar Çiftçi, Ramazan Tekin
2022 J jnl
J. Supercomput.
Fatma Kuncan, Yilmaz Kaya, Ramazan Tekin, Melih Kuncan
2021 J jnl
Traitement du Signal
Erdogan Özel, Ramazan Tekin, Yilmaz Kaya
2020 J jnl
Multim. Tools Appl.
Ramazan Tekin, Ömer Faruk Ertugrul, Yilmaz Kaya
2017 J jnl
Neural Comput.
Ramazan Tekin, Mehmet Emin Tagluk
2016 J jnl
Medical Biol. Eng. Comput.
Ömer Faruk Ertugrul, Yilmaz Kaya, Ramazan Tekin
2016 J jnl
Expert Syst. Appl.
Ömer Faruk Ertugrul, Yilmaz Kaya, Ramazan Tekin, Mehmet Nuri Almali
2016 conf
SIU
Ramazan Tekin, M. Emin Tagluk
2015
Ramazan Tekin
2015 J jnl
Appl. Soft Comput.
Yilmaz Kaya, Ömer Faruk Ertugrul, Ramazan Tekin
2014 J jnl
Appl. Math. Comput.
Yilmaz Kaya, Murat Uyar, Ramazan Tekin, Selçuk Yildirim
2014 conf
SIU
Yilmaz Kaya, Necmettin Sezgin, Ramazan Tekin
2014 J jnl
J. Exp. Theor. Artif. Intell.
Yilmaz Kaya, Lokman Kayci, Ramazan Tekin, Ömer Faruk Ertugrul
2013 conf
SIU
Ramazan Tekin, M. Emin Tagluk, Ömer Faruk Ertugrul, Necmettin Sezgin
2013 conf
SIU
Ömer Faruk Ertugrul, M. Emin Tagluk, Yilmaz Kaya, Ramazan Tekin
2012 conf
SIU
Ramazan Tekin, M. Emin Tagluk, Ömer Faruk Ertugrul
2012 conf
SIU
Necmettin Sezgin, M. Emin Tagluk, Ramazan Tekin
2011 J jnl
CoRR
Yilmaz Kaya, Murat Uyar, Ramazan Tekin
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"