Catalin Dumitrescu

25 papers A 4B 4Journal 7Unranked 10
YearRankTypeTitle / Venue / Authors
2008 J jnl
Future Gener. Comput. Syst.
Alexandru Iosup, Hui Li, Mathieu Jan, Shanny Anoep, Catalin Dumitrescu, Lex Wolters, Dick H. J. Epema
2007 A conf
SC
Ioan Raicu, Yong Zhao, Catalin Dumitrescu, Ian T. Foster, Michael Wilde
2007 conf
CoreGRID
Catalin Dumitrescu, Jan Dünnweber, Philipp Lüdeking, Sergei Gorlatch, Ioan Raicu, Ian T. Foster
2007 J jnl
J. Grid Comput.
Catalin Dumitrescu, Ioan Raicu, Ian T. Foster
2007 J jnl
Concurr. Comput. Pract. Exp.
Catalin Dumitrescu, Ioan Raicu, Ian T. Foster
2007 conf
CoreGRID
Catalin Dumitrescu, Alexandru Iosup, Omer Ozan Sonmez, Hashim H. Mohamed, Dick H. J. Epema
2006 J jnl
Int. J. Cooperative Inf. Syst.
Asit Dan, Kavitha Ranganathan, Catalin Dumitrescu, Matei Ripeanu
2006 conf
GRID
Alexandru Iosup, Catalin Dumitrescu, Dick H. J. Epema, Hui Li, Lex Wolters
2006 B conf
CCGRID
Catalin Dumitrescu
2006 conf
Euro-Par
Catalin Dumitrescu
2006 B conf
e-Science
Catalin Dumitrescu, Dick H. J. Epema, Jan Dünnweber, Sergei Gorlatch
2006 B conf
CCGRID
Lingyun Yang, Jennifer M. Schopf, Catalin Dumitrescu, Ian T. Foster
2006 J jnl
J. Grid Comput.
Ioan Raicu, Catalin Dumitrescu, Matei Ripeanu, Ian T. Foster
2006 conf
CoreGRID Integration Workshop
Catalin Dumitrescu, Jan Dünnweber, Sergei Gorlatch, Dick H. J. Epema
2005 conf
POLICY
Catalin Dumitrescu, Michael Wilde, Ian T. Foster
2005 A conf
SC
Catalin Dumitrescu, Ioan Raicu, Ian T. Foster
2005 conf
GCC
Catalin Dumitrescu, Ioan Raicu, Ian T. Foster
2005 conf
Euro-Par
Catalin Dumitrescu, Ian T. Foster
2005 B conf
CCGRID
Catalin Dumitrescu, Ian T. Foster
2004 A conf
ICSOC
Asit Dan, Catalin Dumitrescu, Matei Ripeanu
2004 conf
GRID
Catalin Dumitrescu, Ioan Raicu, Matei Ripeanu, Ian T. Foster
2004 J jnl
CoRR
Catalin Dumitrescu, Ioan Raicu, Matei Ripeanu, Ian T. Foster
2004 A conf
HPDC
Ian T. Foster, Jerry Gieraltowski, Scott Gose, Natalia Maltsev, Edward N. May, Alex A. Rodriguez, Dinanath Sulakhe, A. Vaniachine, Jim Shank, Saul Youssef, David Adams, Richard Baker, Wensheng Deng, Jason Smith, Dantong Yu, Iosif Legrand, Suresh Singh, Conrad Steenberg, Yang Xia, M. Anzar Afaq, Eileen Berman, James Annis, L. A. T. Bauerdick, Michael Ernst, Ian Fisk, Lisa Giacchetti, Gregory E. Graham, Anne Heavey, Joseph Kaiser, Nickolai Kuropatkin, Ruth Pordes, Vijay Sekhri, John Weigand, Yujun Wu, Keith Baker, Lawrence Sorrillo, John Huth, Matthew Allen, Leigh Grundhoefer, John Hicks, Fred Luehring, Steve Peck, Robert Quick, Stephen C. Simms, George Fekete, Jan vandenBerg, Kihyeon Cho, Kihwan Kwon, Dongchul Son, Hyoungwoo Park, Shane Canon, Keith R. Jackson, David E. Konerding, Jason Lee, Doug Olson, Iwona Sakrejda, Brian Tierney, Mark Green, Russ Miller, James Letts, Terrence Martin, David Bury, Catalin Dumitrescu, Daniel Engh, Robert W. Gardner, Marco Mambelli, Yuri Smirnov, Jens-S. Vöckler, Michael Wilde, Yong Zhao, Xin Zhao, Paul Avery, Richard Cavanaugh, Bockjoo Kim, Craig Prescott, Jorge Luis Rodriguez, Andrew Zahn, Shawn McKee, Christopher T. Jordan, James E. Prewett, Timothy L. Thomas, Horst Severini, Ben Clifford, Ewa Deelman, Larry Flon, Carl Kesselman, Gaurang Mehta, Nosa Olomu, Karan Vahi, Kaushik De, Patrick McGuigan, Mark Sosebee, Dan Bradley, Peter Couvares, Alan DeSmet, Carey Kireyev, Erik Paulson, Alain Roy, Scott Koranda, Brian Moe, Bobby Brown, Paul Sheldon
2004 conf
GRID
Catalin Dumitrescu, Ian T. Foster
2004 J jnl
CoRR
Catalin Dumitrescu, Ian T. Foster
redb/extractors/macho_extractors/macho_universal.py
← Index redb/extractors/macho_extractors/macho_universal.py python
import hashlib
import inspect
import json
from datetime import datetime, timezone
from typing import Any, List

from redb.extractors.enum import Tag
from redb.extractors.macho_extractor import MachOExtractor
from redb.models.dataclasses import MachOUniversal


class MachOUniversalExtractor(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_universal"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_universal_info(self):
        """Extract Universal/FAT binary architecture information using new API."""
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            # Parse at Universal level first (new API requirement)
            self.macho.parse()

            # Get architectures using new API
            architectures = self.macho.get_architectures()
            if not architectures:
                return None

            # Check if this is a FAT binary
            is_fat = len(architectures) > 1

            architecture_info = []

            # Extract info for each architecture
            for arch_name in architectures:
                try:
                    # Get general info for this architecture
                    general_info = self.macho.get_general_info(arch=arch_name)

                    # Get header info for this architecture
                    header_info = self.macho.get_macho_header(arch=arch_name)

                    # Get architecture-specific MachO instance for detailed analysis
                    arch_macho = self.macho.get_macho_for_arch(arch_name)

                    # Calculate architecture slice hash (if we can access the raw data)
                    arch_sha256 = None
                    arch_md5 = None
                    arch_sha1 = None

                    # For FAT binaries, try to get slice-specific info
                    if is_fat and arch_macho:
                        try:
                            # This would require access to the slice data
                            # For now, we'll use the general file info
                            arch_sha256 = general_info.get('SHA256', '') if general_info else ''
                            arch_md5 = general_info.get('MD5', '') if general_info else ''
                            arch_sha1 = general_info.get('SHA1', '') if general_info else ''
                        except Exception as e:
                            self.log.debug(f"Could not extract slice hash for {arch_name}: {e}")

                    architecture_info.append({
                        'architecture': arch_name,
                        'arch_sha256': arch_sha256,
                        'arch_md5': arch_md5,
                        'arch_sha1': arch_sha1,
                        'cputype': header_info.get('cputype') if header_info else None,
                        'cpusubtype': header_info.get('cpusubtype') if header_info else None,
                        'filetype': header_info.get('filetype') if header_info else None
                    })

                except Exception as e:
                    self.log.warning(f"Error extracting info for architecture {arch_name}: {e}")
                    continue

            # Create Universal dataclass
            macho_universal = MachOUniversal(
                is_fat=is_fat,
                architecture_count=len(architectures),
                architectures=architectures,
                architecture_info=architecture_info,
                fat_hash=self.sha256,
                fat_md5=self.md5,
                fat_sha1=self.sha1
            )

            return macho_universal

        except Exception as e:
            self.log.error(f"Error extracting MachO Universal info: {e}")
            return None

    def _extract_fat_architecture_mappings(self):
        """Extract detailed FAT binary architecture mappings for database relationships."""
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return []

        try:
            # Parse at Universal level first
            self.macho.parse()

            # Get architectures using new API
            architectures = self.macho.get_architectures()
            if not architectures or len(architectures) <= 1:
                return []  # Not a FAT binary

            mappings = []
            current_time = datetime.now(timezone.utc)

            # For each architecture, create a mapping record
            for arch_name in architectures:
                try:
                    # Get general info
                    general_info = self.macho.get_general_info()

                    # Create mapping record for FAT binary architecture table
                    mapping = {
                        'fat_hash': self.sha256,  # SHA256 of the FAT binary
                        'architecture': arch_name,
                        'arch_sha256': general_info.get('SHA256', '') if general_info else '',  # Will need proper slice extraction
                        'arch_md5': general_info.get('MD5', '') if general_info else '',
                        'arch_sha1': general_info.get('SHA1', '') if general_info else '',
                        'arch_filename': f"{general_info.get('Filename', '')}.{arch_name}" if general_info else '',
                        'analysis_date': current_time
                    }
                    mappings.append(mapping)

                except Exception as e:
                    self.log.warning(f"Error creating mapping for architecture {arch_name}: {e}")
                    continue

            return mappings

        except Exception as e:
            self.log.error(f"Error extracting FAT architecture mappings: {e}")
            return []

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            universal_info = self._extract_universal_info()
            return universal_info
        except Exception as e:
            self.log.error(f"Error extracting MachO Universal info: {e}")
            return None

    def extract_fat_binary_basic_properties_data(self):
        """Extract data needed for creating multiple BasicProperties records for FAT binaries.

        Returns:
            Tuple: (is_fat, fat_sha256, architectures_info) where:
                - is_fat: bool indicating if this is a FAT binary
                - fat_sha256: SHA256 of the FAT wrapper
                - architectures_info: dict with arch names and their hashes
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return False, None, {}

        try:
            # Parse at Universal level first
            self.macho.parse()

            # Get architectures using new API
            architectures = self.macho.get_architectures()
            if not architectures or len(architectures) <= 1:
                return False, None, {}  # Not a FAT binary

            # This is a FAT binary
            architectures_info = {}

            for arch_name in architectures:
                try:
                    # Get general info for this architecture
                    general_info = self.macho.get_general_info(arch=arch_name)

                    if general_info:
                        architectures_info[arch_name] = {
                            'sha256': general_info.get('SHA256', ''),
                            'md5': general_info.get('MD5', ''),
                            'sha1': general_info.get('SHA1', ''),
                            'filename': general_info.get('Filename', ''),
                            'filesize': general_info.get('Filesize', 0)
                        }
                except Exception as e:
                    self.log.warning(f"Error extracting info for architecture {arch_name}: {e}")
                    continue

            return True, self.sha256, architectures_info

        except Exception as e:
            self.log.error(f"Error extracting FAT binary data: {e}")
            return False, None, {}

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            universal_info = self.extract()
            if universal_info is None:
                return None

            data = []
            current_time = datetime.now(timezone.utc)

            # Get architecture info for the binary
            try:
                if universal_info.is_fat:
                    # For FAT binaries, architecture fields should be NULL since it contains multiple
                    architecture_raw = None
                    architecture_str = None
                else:
                    # For single-arch binaries, get the actual architecture info
                    header_info = self.macho.get_macho_header()
                    architecture_raw = header_info.get('cputype', 0) if header_info else 0
                    architecture_str = universal_info.architectures[0] if universal_info.architectures else None
            except Exception as e:
                self.log.warning(f"Could not get architecture info for binary: {e}")
                architecture_raw = None
                architecture_str = None

            # Main Universal binary record
            data.append([
                self.sha256,                              # sha256
                self.md5,                                 # md5
                self.sha1,                                # sha1
                None,                                     # parent_sha256 (always None for main FAT binary)
                architecture_raw,                         # architecture (raw CPU type)
                architecture_str,                         # architecture_str (human-readable)
                universal_info.is_fat,                    # is_fat
                universal_info.architecture_count,       # architecture_count
                universal_info.architectures,            # architectures (array)
                json.dumps(universal_info.architecture_info[0] if len(universal_info.architecture_info) == 1 else {"architectures": universal_info.architecture_info}) if universal_info.architecture_info else None,  # architecture_info (JSON)
                current_time,                             # analysis_date
            ])

            column_names = [
                'sha256', 'md5', 'sha1', 'parent_sha256', 'architecture', 'architecture_str',
                'is_fat', 'architecture_count', 'architectures', 'architecture_info',
                'analysis_date'
            ]

            column_type_names = [
                'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                'Nullable(FixedString(64))', 'Nullable(UInt32)', 'LowCardinality(Nullable(String))',
                'UInt8', 'UInt32', 'Array(LowCardinality(String))', 'JSON',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

    def prepare_fat_architecture_export_data(self) -> Any:
        """Prepare export data for the FAT binary architecture mapping table."""
        mappings = self._extract_fat_architecture_mappings()
        if not mappings:
            return None

        data = []
        for mapping in mappings:
            data.append([
                mapping['fat_hash'],
                mapping['architecture'],
                mapping['arch_sha256'],
                mapping['arch_md5'],
                mapping['arch_sha1'],
                mapping['arch_filename'],
                mapping['analysis_date'],
            ])

        column_names = [
            'fat_hash', 'architecture', 'arch_sha256', 'arch_md5', 'arch_sha1',
            'arch_filename', 'analysis_date'
        ]

        column_type_names = [
            'FixedString(64)', 'LowCardinality(String)', 'FixedString(64)',
            'FixedString(32)', 'FixedString(40)', 'String',
            'DateTime64(3, \'UTC\')'
        ]

        return (data, column_names, column_type_names)

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

    # def get_fat_architecture_table(self) -> str:
    #     """Return table name for FAT binary architecture mappings."""
    #     return "redb_fat_binary_architectures"