Carlo Emmanoel Tolla de Oliveira

15 papers B 1C 1Journal 4Unranked 8
YearRankTypeTitle / Venue / Authors
2021 J jnl
J. Interact. Syst.
Ana Paula Cavadas Rodrigues, Raquel Moreira Machado Fernandes, Leniah Lima Teixeira, Gabrielle Bandeira Alves, Carlo Emmanoel Tolla de Oliveira, Cláudia Lage Rebello da Motta
2018 J jnl
Int. J. Cogn. Informatics Nat. Intell.
Carla Verônica M. Marques, Carlo Emmanoel Tolla de Oliveira, Cibele Ribeiro C. Oliveira
2017 conf
HCI (9)
Carla Verônica M. Marques, Carlo Emmanoel Tolla de Oliveira, Cláudia Lage Rebello da Motta
2017 conf
IEEE ICCI*CC
Carla Verônica M. Marques, Carlo Emmanoel Tolla de Oliveira, Cibele Ribeiro C. Oliveira
2015 J jnl
Revista Brasileira de Informática na Educ.
Soraia P. A. Silva, Carlo Emmanoel Tolla de Oliveira, Cláudia Lage Rebello da Motta
2014 J jnl
Revista Brasileira de Informática na Educ.
Myriam Kienitz Lemos, Cláudia L. R. Motta, Carla Verônica M. Marques, Carlo Emmanoel Tolla de Oliveira, Maira Fróes, José Otávio Pompeu e Silva
2011 conf
CSEDU (1)
Debora Ramalho Barros, Carlo Emmanoel Tolla de Oliveira, Carla Verônica M. Marques, Cláudia Lage Rebello da Motta
2010 C conf
CSCWD
Soraia P. A. Silva, Cláudia Lage Rebello da Motta, Carlo Emmanoel Tolla de Oliveira
2009 conf
CRIWG
Flavia Ernesto de Oliveira da Silva, Cláudia Lage Rebello da Motta, Flávia Maria Santoro, Carlo Emmanoel Tolla de Oliveira
2009 conf
HEALTHINF
Carlo Emmanoel Tolla de Oliveira, Carla Verônica M. Marques, Cleonice Weber, Paula Prata, Mariana Souza
2008 conf
HEALTHINF (2)
Carlo Emmanoel Tolla de Oliveira, Carla Verônica M. Marques, Jorge Neval Moll Neto
2007 B conf
WISE
Luís Fernando Orleans, Carlo Emmanoel Tolla de Oliveira, Pedro Furtado
2004 conf
NOMS (1)
Carlo Emmanoel Tolla de Oliveira, Renato Fiche Junior
2003 conf
CSEE&T
Vinícius Manhães Teles, Carlo Emmanoel Tolla de Oliveira
1992
Carlo Emmanoel Tolla de Oliveira
redb/extractors/macho_extractors/macho_similarity_hashes.py
← Index redb/extractors/macho_extractors/macho_similarity_hashes.py python
import inspect
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.macho_extractor import MachOExtractor


class MachOSimilarityHashExtractor(MachOExtractor):
    """Extract Mach-O similarity hashes using machofile API.

    Similarity hashes are MD5 fingerprints of sorted, deduplicated binary components:
    - dylib_hash: MD5 of dynamic library names
    - import_hash: MD5 of imported function names
    - export_hash: MD5 of exported symbol names
    - entitlement_hash: MD5 of entitlement names and array values
    - symhash: MD5 of external undefined symbols

    For FAT binaries:
    - Inserts one row per architecture slice with per-slice hashes
    - Inserts one row for the FAT container with combined hashes

    For single-arch binaries:
    - Inserts one row with that architecture's hashes

    Note: parent_sha256 and architecture relationships are tracked in redb_basic_properties,
    not duplicated here. Use JOIN with redb_basic_properties when needed.
    """

    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_hashes"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_similarity_hashes(self, arch_name=None):
        """Extract similarity hashes for a specific architecture."""
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            similarity_hashes = self.macho.get_similarity_hashes(arch=arch_name)
            return similarity_hashes if similarity_hashes else None
        except Exception as e:
            self.log.error(f"Error extracting similarity hashes for arch {arch_name}: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            if not self.macho:
                return None

            architectures = self.macho.get_architectures()
            if not architectures:
                return None

            if len(architectures) > 1:
                # FAT binary - return combined hashes + per-arch hashes
                results = []

                # First add combined hashes for the FAT container
                all_hashes = self.macho.get_similarity_hashes()
                combined_hashes = all_hashes.get('combined', {}) if all_hashes else {}
                if combined_hashes:
                    combined_hashes['arch_identifier'] = 'fat'
                    results.append(combined_hashes)

                # Then add per-arch hashes
                for arch_name in architectures:
                    hashes = self._extract_similarity_hashes(arch_name)
                    if hashes:
                        hashes['arch_identifier'] = arch_name
                        results.append(hashes)
                return results
            else:
                # Single architecture - return single result
                return self._extract_similarity_hashes(architectures[0])
        except Exception as e:
            self.log.error(f"Error extracting similarity hashes: {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

            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)

            # For FAT binaries, first insert a row for the container with combined hashes
            if is_fat:
                all_hashes = self.macho.get_similarity_hashes()  # Without arch returns all including 'combined'
                combined_hashes = all_hashes.get('combined', {}) if all_hashes else {}
                if combined_hashes:
                    data.append([
                        self.sha256,                                    # sha256 (FAT container)
                        combined_hashes.get('dylib_hash'),              # dylib_hash
                        combined_hashes.get('import_hash'),             # import_hash
                        combined_hashes.get('export_hash'),             # export_hash
                        combined_hashes.get('entitlement_hash'),        # entitlement_hash
                        combined_hashes.get('symhash'),                 # symhash
                        current_time,                                   # analysis_date
                    ])

            # Insert rows for each architecture slice
            for arch_name in architectures:
                # Get architecture-specific sha256
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)
                except Exception as e:
                    self.log.warning(f"Could not get arch-specific sha256 for {arch_name}: {e}")
                    arch_sha256 = self.sha256

                # Get similarity hashes for this architecture
                similarity_hashes = self._extract_similarity_hashes(arch_name)
                if not similarity_hashes:
                    continue

                data.append([
                    arch_sha256,                                    # sha256 (arch-specific)
                    similarity_hashes.get('dylib_hash'),            # dylib_hash
                    similarity_hashes.get('import_hash'),           # import_hash
                    similarity_hashes.get('export_hash'),           # export_hash
                    similarity_hashes.get('entitlement_hash'),      # entitlement_hash
                    similarity_hashes.get('symhash'),               # symhash
                    current_time,                                   # analysis_date
                ])

            if not data:
                return None

            column_names = [
                'sha256',
                'macho_dylib_hash', 'macho_import_hash', 'macho_export_hash',
                'macho_entitlement_hash', 'macho_symhash',
                'analysis_date'
            ]

            column_type_names = [
                'FixedString(64)',
                'Nullable(FixedString(32))', 'Nullable(FixedString(32))', 'Nullable(FixedString(32))',
                'Nullable(FixedString(32))', 'Nullable(FixedString(32))',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

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