Ha Manh Tran

35 papers B 1Journal 13Unranked 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Van Ho-Long, Nguyen Ho, Anh-Vu Dinh-Duc, Ha Manh Tran, Ky Trung Nguyen, Tran Dung Pham, Quoc Viet Hung Nguyen
2022 conf
RIVF
Loc Van Tran, Son Thanh Le, Ha Manh Tran
2022 J jnl
J. Inf. Telecommun.
Van Sinh Nguyen, Son Thanh Le, Minh Khai Tran, Ha Manh Tran
2021 J jnl
Appl. Intell.
Van Sinh Nguyen, Ha Manh Tran
2021 J jnl
Appl. Intell.
Van Sinh Nguyen, Ha Manh Tran, Marcin Maleszka
2021 J jnl
J. Inf. Telecommun.
Nhan Tam Dang, Ha Manh Tran, Van Sinh Nguyen, Marcin Maleszka, Hai-Duong Le
2020 J jnl
SN Comput. Sci.
Ha Manh Tran, Son Thanh Le, Van Sinh Nguyen, Phong Thanh Ho
2020 conf
FDSE (CCIS Volume)
Tu Kha Huynh, Hai-Duong Le, Van Sinh Nguyen, Ha Manh Tran
2019 conf
ACOMP
Ha Manh Tran, Son Thanh Le, Van Sinh Nguyen, Hai-Duong Le
2018 conf
ACOMP
Ha Manh Tran, Son Thanh Le, Hai-Duong Le, An Thanh Tran
2018 conf
FDSE
Ha Manh Tran, Van Sinh Nguyen, Synh Viet Uyen Ha, Thanh Quoc Le
2018 J jnl
Int. J. Synth. Emot.
Van Sinh Nguyen, Ha Manh Tran, Minh Khai Tran
2017 conf
SoICT
Ha Manh Tran, Van Sinh Nguyen, Tung Thanh Tran, Lam Quoc Son Pham
2017 J jnl
Trans. Large Scale Data Knowl. Centered Syst.
Ha Manh Tran, Van Sinh Nguyen, Son Thanh Le, Quy Tran Vu
2016 conf
SoICT
Van Sinh Nguyen, Ha Manh Tran, Nguyen Tien Thanh
2015 J jnl
Vietnam. J. Comput. Sci.
Ha Manh Tran, Synh Viet Uyen Ha, Tu Kha Huynh, Son Thanh Le
2015 J jnl
IEEE Trans. Netw. Serv. Manag.
Ha Manh Tran, Jürgen Schönwälder
2015 conf
ACOMP
Quan Vuong, Ha Manh Tran, Son Thanh Le
2015 conf
FDSE
Ha Manh Tran, Van Sinh Nguyen, Son Thanh Le, Quy Tran Vu
2015 conf
ACOMP
Van Sinh Nguyen, Trong Hai Trinh, Ha Manh Tran
2014 J jnl
J. Mobile Multimedia
Ha Manh Tran, Synh Viet Uyen Ha, Huynh Tu Dang, Khoa Van Huynh
2014 J jnl
New Gener. Comput.
Ha Manh Tran, Son Thanh Le
2013 conf
SoICT
Ha Manh Tran, Khoa Van Huynh, Khoi Duy Vo, Son Thanh Le
2013 conf
KES-AMSTA
Ha Manh Tran, Son Thanh Le, Synh Viet Uyen Ha, Tu Kha Huynh
2012 conf
ICCCI (2)
Huynh Tu Dang, Ha Manh Tran, Phach Ngoc Vu, An Truong Nguyen
2011 conf
AINA Workshops
Ha Manh Tran, Jürgen Schönwälder
2009 J jnl
J. Netw. Syst. Manag.
Ha Manh Tran, Christoph Lange, Georgi Chulkov, Jürgen Schönwälder, Michael Kohlhase
2009
Ha Manh Tran
2009 conf
IPOM
Shikhar Bhushan, Ha Manh Tran, Jürgen Schönwälder
2009 conf
AIMS
Ha Manh Tran, Iyad Tumar, Jürgen Schönwälder
2008 conf
AIMS
Feng Liu, Antonis M. Hadjiantonis, Ha Manh Tran, Mina Amin
2008 conf
DSOM
Ha Manh Tran, Georgi Chulkov, Jürgen Schönwälder
2008 B conf
PRICAI
Ha Manh Tran, Jürgen Schönwälder
2007 conf
AIMS
Ha Manh Tran, Jürgen Schönwälder
2007 conf
DSOM
Ha Manh Tran, Jürgen Schönwälder
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"