Carmel McNaught

24 papers C 1Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2014 J jnl
Comput. Educ.
Paul Lam, Carmel McNaught, Jack Lee, Mavis Chan
2014 J jnl
Int. J. Online Pedagog. Course Des.
Carmel McNaught
2011 ch.
Social Media Tools and Platforms in Learning Environments
Carmel McNaught, Paul Lam, Morris Kwok, Eric C. L. Ho
2011 conf
ICHL
Carmel McNaught
2010 conf
CSEDU (1)
Paul Lam, Jack Lee, Mavis Chan, Carmel McNaught
2010 J jnl
Int. J. E Adopt.
Paul Lam, Judy Lo, Antony Yeung, Carmel McNaught
2010 J jnl
Comput. Educ.
David Kember, Carmel McNaught, Fanny C. Y. Chong, Paul Lam, Kin-Fai Cheng
2009 J jnl
Int. J. E Adopt.
Paul Lam, Josephine Csete, Carmel McNaught
2007 conf
WEBIST (Selected Papers)
Carmel McNaught, Paul Lam, Shirley Leung, Kin-Fai Cheng
2007 ch.
Encyclopedia of Information Ethics and Security
Carmel McNaught
2007 conf
WEBIST (3)
Carmel McNaught, Paul Lam, Shirley Leung, Kin-Fai Cheng
2006 conf
WEBIST (1)
Carmel McNaught
2006 conf
WEBIST (Selected Papers)
Carmel McNaught
2006 J jnl
J. Comput. Assist. Learn.
J. D. Bain, Carmel McNaught
2006 J jnl
Res. Pract. Technol. Enhanc. Learn.
Carmel McNaught, Alan Amory
2006 J jnl
Int. J. Learn. Technol.
Carmel McNaught, Doug Vogel
2005 J jnl
Br. J. Educ. Technol.
Carmel McNaught, Paul Lam
2003 J jnl
J. Comput. High. Educ.
Carmel McNaught
2002 C conf
ICCE
Carmel McNaught, David Kennedy, Jenny Majoor
2002 conf
ASCILITE
Carmel McNaught, Andrew Burd, Kevin Whithear, John Prescott, Glenn Browning
1999 J jnl
J. Educ. Technol. Soc.
Carmel McNaught, J. Kenny, P. Kennedy, R. Lord
1996 J jnl
J. Comput. High. Educ.
Sandra Wills, Carmel McNaught
1994 ed.
Interactive Multimedia in University Education
Kate Beattie, Carmel McNaught, Sandra Wills
1994 conf
Interactive Multimedia in University Education
Carmel McNaught, Kevin Whithear, Glenn Browning
redb/extractors/macho_extractors/macho_dylibs.py
← Index redb/extractors/macho_extractors/macho_dylibs.py python
import hashlib
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 MachODylib


class MachODylibExtractor(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_dylibs"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_dylibs(self):
        """Extract dynamic library information from all architectures in the MachO binary."""
        self.log.debug(inspect.currentframe().f_code.co_name)
        dylibs = []

        if not self.macho:
            return dylibs

        try:
            # Get architectures using new API (already parsed in base class)
            architectures = self.macho.get_architectures()
            if not architectures:
                return dylibs

            # Process each architecture
            for arch_name in architectures:
                # Get dylib commands using new API with architecture parameter
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Extract dylib commands for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        # Create dylib dataclass with architecture info
                        macho_dylib = MachODylib(
                            dylib_name=dylib_name,
                            dylib_timestamp=dylib_cmd.get('dylib_timestamp', 0),
                            dylib_current_version=dylib_cmd.get('dylib_current_version', 0),
                            dylib_compat_version=dylib_cmd.get('dylib_compat_version', 0),
                        )
                        # Add architecture info to the dylib
                        macho_dylib.architecture = arch_name
                        dylibs.append(macho_dylib)

                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name} in {self.hash.sha256}: {e}'
                        )
                        continue

            return dylibs

        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {e}")
            return dylibs

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            dylibs = self._extract_dylibs()
            return dylibs
        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {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 dylib commands for this architecture
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Process each dylib for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        data.append([
                            arch_sha256,                          # sha256 (architecture-specific)
                            dylib_name,                           # dylib_name
                            dylib_cmd.get('dylib_timestamp', 0), # dylib_timestamp
                            dylib_cmd.get('dylib_current_version', 0), # dylib_current_version
                            dylib_cmd.get('dylib_compat_version', 0),  # dylib_compat_version
                            current_time,                         # analysis_date
                        ])
                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name}: {e}'
                        )
                        continue

            column_names = [
                'sha256',
                'dylib_name', 'dylib_timestamp', 'dylib_current_version',
                'dylib_compat_version', 'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)',
                'String', 'UInt32', 'UInt32',
                'UInt32', 'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

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