Caio Corro

44 papers A* 2A 1B 1Journal 23Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Hugo Thomas, Caio Corro, Guillaume Gravier, Pascale Sébillot
2026 conf
EACL (Volume 1: Long Papers)
Benno Uthayasooriyar, Antoine Ly, Franck Vermet, Caio Corro
2026 J jnl
CoRR
Lucas Ondel Yang, Tina Raissi, Martin Kocour, Pablo Riera, Caio Corro
2026 conf
EACL (Volume 1: Long Papers)
Ayoub Hammal, Pierre Zweigenbaum, Caio Corro
2026 J jnl
CoRR
Ayoub Hammal, Pierre Zweigenbaum, Caio Corro
2025 conf
ACL (1)
Caio Corro, Mathieu Lacroix, Joseph Le Roux
2025 J jnl
CoRR
Caio Corro, Mathieu Lacroix, Joseph Le Roux
2025 J jnl
Trans. Mach. Learn. Res.
Manuel Faysse, Patrick Fernandes, Nuno Miguel Guerreiro, António Loison, Duarte M. Alves, Caio Corro, Nicolas Boizard, João Alves, Ricardo Rei, Pedro Henrique Martins, Antoni Bigata Casademunt, François Yvon, André F. T. Martins, Gautier Viaud, Céline Hudelot, Pierre Colombo
2025 J jnl
Found. Trends Signal Process.
Vlad Niculae, Caio Corro, Nikita Nangia, Tsvetomila Mihaylova, André F. T. Martins
2025 J jnl
CoRR
Benno Uthayasooriyar, Antoine Ly, Franck Vermet, Caio Corro
2025 J jnl
CoRR
Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte M. Alves, André F. T. Martins, Ayoub Hammal, Caio Corro, Céline Hudelot, Emmanuel Malherbe, Etienne Malaboeuf, Fanny Jourdan, Gabriel Hautreux, João Alves, Kevin El Haddad, Manuel Faysse, Maxime Peyrard, Nuno Miguel Guerreiro, Patrick Fernandes, Ricardo Rei, Pierre Colombo
2025 B conf
COLING
Ayoub Hammal, Benno Uthayasooriyar, Caio Corro
2025 J jnl
CoRR
Ayoub Hammal, Pierre Zweigenbaum, Caio Corro
2025 conf
EMNLP (Findings)
Alberto Muñoz-Ortiz, David Vilares, Caio Corro, Carlos Gómez-Rodríguez
2025 J jnl
CoRR
Alberto Muñoz-Ortiz, David Vilares, Caio Corro, Carlos Gómez-Rodríguez
2025 conf
COLING Workshops
Benno Uthayasooriyar, Antoine Ly, Franck Vermet, Caio Corro
2024 A* conf
EMNLP
Caio Corro
2024 J jnl
CoRR
Caio Corro
2024 J jnl
CoRR
Ayoub Hammal, Benno Uthayasooriyar, Caio Corro
2024 conf
TALN (1)
Santiago Herrera, Caio Corro, Sylvain Kahane
2024 J jnl
CoRR
Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, Dominic Culver, Rui Melo, Caio Corro, André F. T. Martins, Fabrizio Esposito, Vera Lúcia Raposo, Sofia Morgado, Michael Desa
2024 conf
LREC/COLING
Santiago Herrera, Caio Corro, Sylvain Kahane
2024 J jnl
CoRR
Santiago Herrera, Caio Corro, Sylvain Kahane
2024 J jnl
CoRR
Benno Uthayasooriyar, Antoine Ly, Franck Vermet, Caio Corro
2023 conf
ACL (1)
Caio Corro
2023 J jnl
Trans. Assoc. Comput. Linguistics
Alban Petit, Caio Corro
2023 J jnl
CoRR
Alban Petit, Caio Corro
2023 A conf
EACL
Caio Corro
2023 J jnl
CoRR
Caio Corro
2022 J jnl
CoRR
Caio Corro
2022 conf
TALN-RECITAL
Alban Petit, Caio Corro
2021 conf
TALN (1)
Alban Petit, Caio Corro
2021 J jnl
CoRR
Alban Petit, Caio Corro
2020 conf
EMNLP (1)
Caio Corro
2020 J jnl
CoRR
Caio Corro
2020 conf
JEP-TALN-RECITAL (2)
Caio Corro
2019 conf
ICLR (Poster)
Caio Corro, Ivan Titov
2019 conf
ACL (1)
Caio Corro, Ivan Titov
2019 J jnl
CoRR
Caio Corro, Ivan Titov
2018 J jnl
CoRR
Caio Corro, Ivan Titov
2018
Caio Corro
2017 A* conf
EMNLP
Caio Corro, Joseph Le Roux, Mathieu Lacroix
2017 conf
TAG
Caio Corro, Joseph Le Roux
2016 conf
ACL (1)
Caio Corro, Joseph Le Roux, Mathieu Lacroix, Antoine Rozenknop, Roberto Wolfler Calvo
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"