Vasiliki Diamantopoulou

35 papers B 6Misc 1Journal 9Unranked 16
YearRankTypeTitle / Venue / Authors
2024 B conf
ARES
Argyri Pattakou, Vasiliki Diamantopoulou, Christos Kalloniatis, Stefanos Gritzalis
2023 J jnl
Int. J. Inf. Sec.
Aggeliki Tsohou, Vasiliki Diamantopoulou, Stefanos Gritzalis, Costas Lambrinoudakis
2022 ch.
Modern Socio-Technical Perspectives on Privacy
Vasiliki Diamantopoulou, Costas Lambrinoudakis, Jennifer King, Stefanos Gritzalis
2021 conf
CyberICPS/SECPRE/ADIoT/SPOSE/CPS4CIP/CDT&SECOMANE@ESORICS
Vasiliki Diamantopoulou, Maria Karyda
2020 conf
CyberICPS/SECPRE/ADIoT@ESORICS
Vasiliki Diamantopoulou, Christos Kalloniatis, Christos Lyvas, Konstantinos N. Maliatsos, Matthieu Gay, Athanasios G. Kanatas, Costas Lambrinoudakis
2020 ch.
Visual Privacy Management
Andrea Praitano, Luca Giovannetti, Vasiliki Diamantopoulou, Mattia Salnitri
2020 J jnl
Inf. Comput. Secur.
Vasiliki Diamantopoulou, Aggeliki Tsohou, Maria Karyda
2020 J jnl
Softw. Syst. Model.
Mattia Salnitri, Konstantinos Angelopoulos, Michalis Pavlidis, Vasiliki Diamantopoulou, Haralambos Mouratidis, Paolo Giorgini
2020 J jnl
Inf.
Vasiliki Diamantopoulou, Aggeliki Androutsopoulou, Stefanos Gritzalis, Yannis Charalabidis
2020 J jnl
IEEE Trans. Ind. Informatics
Georgios Kavallieratos, Vasiliki Diamantopoulou, Sokratis K. Katsikas
2019 conf
CyberICPS/SECPRE/SPOSE/ADIoT@ESORICS
Vasiliki Diamantopoulou, Aggeliki Tsohou, Maria Karyda
2019 B conf
TrustBus
Vasiliki Diamantopoulou, Aggeliki Tsohou, Maria Karyda
2019 conf
ICEGOV
Charalampos Alexopoulos, Zoi Lachana, Aggeliki Androutsopoulou, Vasiliki Diamantopoulou, Yannis Charalabidis, Michalis Avgerinos Loutsaris
2019 J jnl
Inf. Comput. Secur.
Vasiliki Diamantopoulou, Haralambos Mouratidis
2018 J jnl
IEEE Trans. Ind. Informatics
Haralambos Mouratidis, Vasiliki Diamantopoulou
2018 B conf
RCIS
Vasiliki Diamantopoulou, Aggeliki Androutsopoulou, Stefanos Gritzalis, Yannis Charalabidis
2018 J jnl
Inf. Comput. Secur.
Vasiliki Diamantopoulou, Haralambos Mouratidis
2018 conf
MCIS
Vasiliki Diamantopoulou, Haralambos Mouratidis
2018 conf
ESPRE@RE
Argyri Pattakou, Aikaterini-Georgia Mavroeidi, Vasiliki Diamantopoulou, Christos Kalloniatis, Stefanos Gritzalis
2018 conf
IEEE BigData
Konstantinos Moutselos, Dimosthenis Kyriazis, Vasiliki Diamantopoulou, Ilias Maglogiannis
2017 B conf
ARES
Konstantinos Angelopoulos, Vasiliki Diamantopoulou, Haralambos Mouratidis, Michalis Pavlidis, Mattia Salnitri, Paolo Giorgini, José Fran. Ruiz
2017 conf
ER Forum/Demos
Vasiliki Diamantopoulou, Konstantinos Angelopoulos, Michalis Pavlidis, Haralambos Mouratidis
2017 conf
AMCIS
Vasiliki Diamantopoulou, Aggeliki Tsohou, Euripidis N. Loukis, Stefanos Gritzalis
2017 conf
CyberICPS/SECPRE@ESORICS
Vasiliki Diamantopoulou, Michalis Pavlidis, Haralambos Mouratidis
2017 conf
APF
Vasiliki Diamantopoulou, Konstantinos Angelopoulos, Julian Flake, Andrea Praitano, José Fran. Ruiz, Jan Jürjens, Michalis Pavlidis, Dimitri Bonutto, Andrès Castillo Sanz, Haralambos Mouratidis, Javier Garcia-Robles, Alberto Eugenio Tozzi
2017 conf
CAiSE-Forum-DC
Vasiliki Diamantopoulou, Michalis Pavlidis, Haralambos Mouratidis
2017 Misc conf
SEC
Vasiliki Diamantopoulou, Christos Kalloniatis, Stefanos Gritzalis, Haralambos Mouratidis
2017 B conf
RCIS
Vasiliki Diamantopoulou, Nikolaos Argyropoulos, Christos Kalloniatis, Stefanos Gritzalis
2017 conf
EGOV
Charalampos Alexopoulos, Vasiliki Diamantopoulou, Yannis Charalabidis
2017 B conf
RCIS
Vasiliki Diamantopoulou, Michalis Pavlidis
2016 conf
HICSS
Yannis Charalabidis, Charalampos Alexopoulos, Vasiliki Diamantopoulou, Aggeliki Androutsopoulou
2014
Vasiliki Diamantopoulou
2013 J jnl
J. Enterp. Inf. Manag.
Spyros Arvanitis, Euripidis N. Loukis, Vasiliki Diamantopoulou
2012 conf
Panhellenic Conference on Informatics
Euripidis N. Loukis, Spyros Arvanitis, Vasiliki Diamantopoulou
2011 conf
Panhellenic Conference on Informatics
Spyros Arvanitis, Euripidis N. Loukis, Vasiliki Diamantopoulou
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"