Caetano Mazzoni Ranieri

35 papers B 2C 1Journal 19Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Eraldo Pereira Marinho, Nelson Callegari Junior, Fabricio Aparecido Breve, Caetano Mazzoni Ranieri
2026 J jnl
Eng. Appl. Artif. Intell.
Saulo Neves Matos, Thomás V. B. Pinto, Robson Aparecdo Duarte, Kaike S. Albuquerque, Alexandre G. Fonseca, Caetano Mazzoni Ranieri, Leandro Soriano Marcolino, Gustavo Pessin, Jó Ueyama
2026 J jnl
Trans. Inst. Meas. Control
Saulo Neves Matos, Arthur Lima Marques Rocha, Gabriel Montagni Domingues Filho, Caetano Mazzoni Ranieri, Rodrigo Dutra Garcia, Ana Clara de Oliveira Faria, Maria M. G. Medina, Jó Ueyama
2026 J jnl
J. Netw. Syst. Manag.
Igor Cardozo Martins, Caetano Mazzoni Ranieri, Rodrigo Dutra Garcia, Lívia Maria Bettini de Miranda, Lucas Masaki Maeda, João Pedro Alonso Almeida, Gowri Sankar Ramachandran, Jó Ueyama
2025 J jnl
Multim. Tools Appl.
Thaís Luiza Donega e Souza, Caetano Mazzoni Ranieri, Anand Panangadan, Jó Ueyama, Marislei Nishijima
2025 conf
CHI PLAY (Companion)
Alexandre dos Anjos de Souza, Leonardo Tórtoro Pereira, Wilk Oliveira, Caetano Mazzoni Ranieri
2025 conf
BRACIS (4)
Arthur Rocha, João Perino, Vinícius João de Barros Vanzin, Pedro Teodoro, Saulo N. Matos, Dilvan A. Moreira, Caetano Mazzoni Ranieri, Jó Ueyama
2025 conf
CHI PLAY (Companion)
Laura Ferreira Bezerra, Leonardo Tórtoro Pereira, Wilk Oliveira, Juho Hamari, Caetano Mazzoni Ranieri
2024 C conf
CIBCB
Timothe Petitjean, Hugo Millet, Mariana F. P. Araújo, Renan Cipriano Moioli, Patrícia Amâncio Vargas, Caetano Mazzoni Ranieri
2024 J jnl
CoRR
Rodrigo Dutra Garcia, Gowri Sankar Ramachandran, Kealan Dunnett, Raja Jurdak, Caetano Mazzoni Ranieri, Bhaskar Krishnamachari, Jo Ueyama
2024 J jnl
Appl. Intell.
Caetano Mazzoni Ranieri, Thaís Luiza Donega e Souza, Marislei Nishijima, Bhaskar Krishnamachari, Jó Ueyama
2024 J jnl
IEEE Trans. Instrum. Meas.
Saulo Neves Matos, Thomás V. B. Pinto, Jacó Domingues, Caetano Mazzoni Ranieri, Kaike S. Albuquerque, Vinicius da Silva Moreira, Ernandes S. Souza, Jó Ueyama, Thiago Antonio M. Euzébio, Gustavo Pessin
2024 J jnl
IEEE Access
Hericson Dos Santos, Tiago Dos Santos Martins, Jorge Andre Domingues Barreto, Luis Hideo Vasconcelos Nakamura, Caetano Mazzoni Ranieri, Robson E. De Grande, Geraldo P. Rocha Filho, Rodolfo I. Meneguette
2024 conf
I2MTC
Saulo Neves Matos, Otávio Ferracioli Coletti, Rafael Zimmer, Fernando Ugucioni Filho, Ricardo C. C. L. de Carvalho, Victor R. da Silva, Jorge Luiz Franco, Thomás V. B. Pinto, Luiz Guilherme Dias de Barros, Caetano Mazzoni Ranieri, Bruno Eduardo Lopes, Diego F. Silva, Jó Ueyama, Gustavo Pessin
2024 J jnl
Eng. Appl. Artif. Intell.
Caetano Mazzoni Ranieri, Angelo V. K. Foletto, Rodrigo Dutra Garcia, Saulo Neves Matos, Maria M. G. Medina, Leandro Soriano Marcolino, Jó Ueyama
2023 J jnl
IEEE Access
Edivaldo Pastori Valentini, Geraldo Pereira Rocha Filho, Robson Eduardo De Grande, Caetano Mazzoni Ranieri, Lourenço Alves Pereira Júnior, Rodolfo Ipolito Meneguette
2023 conf
SIoT
Saulo Neves Matos, Otávio Ferracioli Coletti, Fernando Ugucioni Filho, Ricardo C. C. L. de Carvalho, Thomás V. B. Pinto, Luiz Guilherme Dias de Barros, Caetano Mazzoni Ranieri, Bruno Eduardo Lopes, Jó Ueyama, Gustavo Pessin
2023 J jnl
Appl. Intell.
Lucas Augusto Vieira Brito, Rodolfo I. Meneguette, Robson E. De Grande, Caetano Mazzoni Ranieri, Jó Ueyama
2023 J jnl
J. Netw. Syst. Manag.
Alef Vinicius Cardoso e Silva, Felipe Taliar Giuntini, Caetano Mazzoni Ranieri, Rodolfo Ipolito Meneguette, Rodrigo Dutra Garcia, Gowri Sankar Ramachandran, Bhaskar Krishnamachari, Jó Ueyama
2023 conf
INNS DLIA@IJCNN
Esteban Wilfredo Vilca Zuñiga, Caetano Mazzoni Ranieri, Liang Zhao, Jó Ueyama, Yu-tao Zhu, Donghong Ji
2021 J jnl
IEEE Access
Caetano Mazzoni Ranieri, Jhielson M. Pimentel, Marcelo R. Romano, Leonardo Abdala Elias, Roseli A. F. Romero, Michael A. Lones, Mariana F. P. Araújo, Patrícia A. Vargas, Renan Cipriano Moioli
2021 J jnl
CoRR
Caetano Mazzoni Ranieri, Jhielson M. Pimentel, Marcelo R. Romano, Leonardo Abdala Elias, Roseli A. F. Romero, Michael A. Lones, Mariana F. P. Araújo, Patrícia A. Vargas, Renan Cipriano Moioli
2021 J jnl
CoRR
Caetano Mazzoni Ranieri, Renan Cipriano Moioli, Patrícia A. Vargas, Roseli A. F. Romero
2021 J jnl
Sensors
Caetano Mazzoni Ranieri, Scott MacLeod, Mauro Dragone, Patrícia Amâncio Vargas, Roseli Aparecida Francelin Romero
2021 J jnl
Sensors
Francisco Erivaldo Fernandes Junior, Luis Gustavo Nonato, Caetano Mazzoni Ranieri, Jó Ueyama
2021 J jnl
Frontiers Neurorobotics
Jhielson M. Pimentel, Renan Cipriano Moioli, Mariana F. P. de Araújo, Caetano Mazzoni Ranieri, Roseli A. F. Romero, Frank Broz, Patrícia Amâncio Vargas
2020 B conf
IJCNN
Caetano Mazzoni Ranieri, Patrícia A. Vargas, Roseli A. F. Romero
2020 B conf
IJCNN
Caetano Mazzoni Ranieri, Renan Cipriano Moioli, Roseli A. F. Romero, Mariana F. P. de Araújo, Maxwell Barbosa De Santana, Jhielson M. Pimentel, Patrícia A. Vargas
2019 conf
LARS/SBR/WRE
Felipe Aparecido Garcia, Caetano Mazzoni Ranieri, Roseli Aparecida Francelin Romero
2018 conf
BRACIS
Daniel Tozadore, Caetano Mazzoni Ranieri, Guilherme Nardari, Vitor Guizilini, Roseli A. F. Romero
2018 conf
LARS/SBR/WRE
Caetano Mazzoni Ranieri, Guilherme Vincentim Nardari, Adam Henrique Moreira Pinto, Daniel Carnieto Tozadore, Roseli Aparecida Francelin Romero
2018 conf
LARS/SBR/WRE
Adam Henrique Moreira Pinto, Caetano Mazzoni Ranieri, Guilherme V. Nardari, Daniel Carnieto Tozadore, Roseli Aparecida Francelin Romero
2017 conf
SBSI
Dildre Georgiana Vasques, Leonardo Comelli, Caetano Mazzoni Ranieri, Solange O. Rezende
2017 conf
LARS/SBR
Daniel C. Tozadore, Adam H. M. Pinto, Caetano Mazzoni Ranieri, Murillo Rehder Batista, Roseli A. F. Romero
2016 conf
LARS/SBR
Caetano Mazzoni Ranieri, Roseli A. F. Romero
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"