Oana Andrei

45 papers B 2C 1Misc 1Journal 10Unranked 30
YearRankTypeTitle / Venue / Authors
2025 conf
ITiCSE (2)
Janice Mak, Joyce Nakatumba-Nabende, Alison Clear, Tony Clear, Ismaila Temitayo Sanusi, Judy Sheard, Lorenzo Angeli, Matthew Hale Rattigan, Oana Andrei, Samuel Mann, Solomon Sunday Oyelere, Stephen MacNeil, Tingting Zhu
2025 conf
CSEE&T
Syed Waqar Nabi, Oana Andrei, Matthew Barr, Quintin I. Cutts, Joseph Maguire, Alistair Morrison, Jack Parkinson, Derek Somerville, Tim Storer
2025 conf
CEP
Oana Andrei, Syed Waqar Nabi, Matthew Barr, Olga Petrovska
2025 conf
ITiCSE-WGR
Janice Mak, Joyce Nakatumba-Nabende, Tony Clear, Alison Clear, Ibrahim Albluwi, Oana Andrei, Lorenzo Angeli, Stephen MacNeil, Solomon Sunday Oyelere, Matthew Hale Rattigan, Judy Sheard, Tingting Zhu
2025 J jnl
CoRR
Janice Mak, Joyce Nakatumba-Nabende, Tony Clear, Alison Clear, Ibrahim Albluwi, Oana Andrei, Lorenzo Angeli, Stephen MacNeil, Solomon Sunday Oyelere, Matthew Hale Rattigan, Judy Sheard, Tingting Zhu
2025 conf
SAFECOMP (Workshops)
Surasak Phetmanee, Michele Sevegnani, Oana Andrei
2025 conf
Koli Calling
Thom Kunkeler, Matthew Barr, Maria Kallia, Oana Andrei, Xiaohan Li, Andrew Muncey, Aletta Nylén, Megan Venn-Wycherley
2025 conf
CSEE&T
Matthew Barr, Syed Waqar Nabi, Oana Andrei
2025 J jnl
CoRR
Matthew Barr, Syed Waqar Nabi, Oana Andrei
2025 conf
ITiCSE (1)
Oana Andrei, Matthew Barr, Syed Waqar Nabi, Alistair Morrison
2024 J jnl
Sci. Ann. Comput. Sci.
Alexandru-Ioan Lungu, Vlad Teodorescu, Andrei Zaborila, Oana Andrei, Dorel Lucanu
2024 conf
UKICER
Oana Andrei, Zoltan Sojtory
2024 B conf
IFM
Surasak Phetmanee, Michele Sevegnani, Oana Andrei
2024 conf
SIGCSE (1)
Matthew Barr, Oana Andrei, Alistair Morrison, Syed Waqar Nabi
2023 conf
ICER (2)
Oana Andrei, Syed Waqar Nabi
2023 J jnl
CoRR
Oana Andrei, Muffy Calder, Matthew Chalmers, Alistair Morrison
2023 C conf
FIE
Matthew Barr, Oana Andrei, Maria Kallia
2022 conf
UKICER
Oana Andrei
2021 J jnl
IEEE Trans. Games
William Kavanagh, Alice Miller, Gethin Norman, Oana Andrei
2018 J jnl
J. Log. Algebraic Methods Program.
Oana Andrei, Muffy Calder
2018 conf
GIFT@ICMI
Oana Andrei, Gabriel Murray
2017 conf
EGC
Bruno Pinaud, Oana Andrei, Maribel Fernández, Hélène Kirchner, Guy Melançon, Jason Vallet
2017 conf
SEFM Workshops
Oana Andrei, Muffy Calder
2016 B conf
IFM
Oana Andrei, Muffy Calder, Matthew Chalmers, Alistair Morrison, Mattias Rost
2015 J jnl
CoRR
Oana Andrei, Muffy Calder, Matthew Chalmers, Alistair Morrison, Mattias Rost
2014 conf
QEST
Oana Andrei, Muffy Calder, Matthew Higgs, Mark A. Girolami
2014 J jnl
CoRR
Oana Andrei, Muffy Calder, Matthew Higgs, Mark A. Girolami
2012 J jnl
Trans. Comp. Sys. Biology
Oana Andrei, Muffy Calder
2011 conf
TERMGRAPH
Oana Andrei, Maribel Fernández, Hélène Kirchner, Guy Melançon, Olivier Namet, Bruno Pinaud
2011 conf
Hybrid Autonomous Systems@ETAPS
Oana Andrei, Hélène Kirchner
2010 conf
CS2Bio
Oana Andrei, Muffy Calder
2010 conf
CMSB
Muffy Calder, Oana Andrei, Andrea Degasperi, Robin Donaldson
2009 conf
Graph Theory, Computational Intelligence and Thought
Oana Andrei, Hélène Kirchner
2009 conf
TERMGRAPH@ETAPS
Oana Andrei, Hélène Kirchner
2008
Oana Andrei
2008 conf
WRLA
Eugen-Ioan Goriac, Georgiana Caltais, Dorel Lucanu, Oana Andrei, Gheorghe Grigoras
2008 conf
WRLA
Oana Andrei, Dorel Lucanu
2007 conf
RULE@RDP
Oana Andrei, Hélène Kirchner
2007 J jnl
Theor. Comput. Sci.
Oana Andrei, Gabriel Ciobanu, Dorel Lucanu
2007 Misc conf
SYNASC
Oana Andrei, Hélène Kirchner
2006 conf
Workshop on Membrane Computing
Oana Andrei, Gabriel Ciobanu, Dorel Lucanu
2006 conf
Essays Dedicated to Joseph A. Goguen
Oana Andrei, Liliana Ibanescu, Hélène Kirchner
2005 conf
SOS@ICALP
Oana Andrei, Dorel Lucanu, Gabriel Ciobanu
2005 conf
Workshop on Membrane Computing
Oana Andrei, Gabriel Ciobanu, Dorel Lucanu
2004 conf
Workshop on Membrane Computing
Oana Andrei, Gabriel Ciobanu, Dorel Lucanu
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"