Rafael P. Torchelsen

26 papers C 1Journal 12Unranked 12
YearRankTypeTitle / Venue / Authors
2025 conf
SVR
Leonardo S. Guths, Matheus Dias Negrão, Carla M. D. S. Freitas, Anderson Maciel, Rafael P. Torchelsen, Luciana Nedel
2025 conf
SVR
Lucas Alviene Pereira, Matheus Dias Negrão, Anderson Maciel, Rafael P. Torchelsen, Luciana Nedel, Carla M. D. S. Freitas
2025 J jnl
Multim. Tools Appl.
Daniele Fernandes E. Silva, Rafael P. Torchelsen, Marilton S. de Aguiar
2024 conf
SIGGRAPH (Conference Paper Track)
Marcelo Gomes Martins, Lucas Zanusso Morais, Rafael P. Torchelsen, Luciana P. Nedel, Anderson Maciel
2023 J jnl
Comput. Graph.
Lucas Zanusso Morais, Victor Kunde Bergmann, Eduarda Abreu Carvalho, Raquel Zimmer, Marcelo Gomes Martins, Luciana Porcher Nedel, Anderson Maciel, Rafael P. Torchelsen
2023 conf
SVR
Jonas Monticelli, Jorge A. Wagner Filho, Anderson Maciel, Rafael P. Torchelsen, Carla Maria Dal Sasso Freitas, Luciana P. Nedel
2022 J jnl
Comput. Graph.
Aline Menin, Rafael P. Torchelsen, Luciana P. Nedel
2019 C conf
CGI
Jose Abel Ticona, Steeven Villa, Rafael P. Torchelsen, Anderson Maciel, Luciana P. Nedel
2018 J jnl
IEEE Computer Graphics and Applications
Aline Menin, Rafael P. Torchelsen, Luciana Porcher Nedel
2018 J jnl
Comput. Graph.
Steeven Villa, Abel Ticona, Rafael P. Torchelsen, Luciana Porcher Nedel, Anderson Maciel
2017 J jnl
IEEE Computer Graphics and Applications
Iago U. Berndt, Rafael P. Torchelsen, Anderson Maciel
2017 J jnl
Comput. Graph.
Rafael P. Torchelsen, Daniele Panozzo
2016 conf
SIBGRAPI
Daniele Fernandes E. Silva, Iago U. Berndt, Rafael P. Torchelsen, Anderson Maciel
2016 J jnl
Comput. Graph.
Guilherme N. Oliveira, Jose L. Sotomayor, Rafael P. Torchelsen, Cláudio T. Silva, João Luiz Dihl Comba
2015 conf
SIBGRAPI
Iago U. Berndt, Rafael P. Torchelsen, Anderson Maciel
2014 J jnl
Comput. Graph.
Marilena Maule, João Luiz Dihl Comba, Rafael P. Torchelsen, Rui Bastos
2013 conf
I3D
Marilena Maule, João Comba, Rafael P. Torchelsen, Rui Bastos
2013 conf
SIBGRAPI
Guilherme N. Oliveira, João Comba, Rafael P. Torchelsen, Maristela Padilha, Cláudio T. Silva
2012 conf
SIBGRAPI
Marilena Maule, João Luiz Dihl Comba, Rafael P. Torchelsen, Rui Bastos
2012 conf
SIBGRAPI Tutorials
Marilena Maule, João Luiz Dihl Comba, Rafael P. Torchelsen, Rui Bastos
2011 J jnl
Comput. Graph.
Marilena Maule, João Luiz Dihl Comba, Rafael P. Torchelsen, Rui Bastos
2011 J jnl
Vis. Comput.
Guilherme N. Oliveira, Rafael P. Torchelsen, João Luiz Dihl Comba, Marcelo Walter, Rui Bastos
2010 conf
SIBGRAPI
Guilherme N. Oliveira, Rafael P. Torchelsen, João Luiz Dihl Comba, Marcelo Walter, Rui Bastos
2010 conf
SI3D
Rafael P. Torchelsen, Luiz F. Scheidegger, Guilherme N. Oliveira, Rui Bastos, João Luiz Dihl Comba
2010
Rafael P. Torchelsen
2009 J jnl
Comput. Graph. Forum
Rafael P. Torchelsen, Francisco Pinto, Rui Bastos, João Luiz Dihl Comba
redb/extractors/elf_extractors/elf_dependencies.py
← Index redb/extractors/elf_extractors/elf_dependencies.py python
import inspect
from datetime import datetime, timezone
from typing import Any, List, Dict

from elftools.elf.elffile import ELFFile
from elftools.common.exceptions import ELFError

from redb.extractors.enum import Tag
from redb.extractors.elf_extractor import ELFExtractor
from redb.models.dataclasses import ELFDependency


class ELFDependencyExtractor(ELFExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        elf=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            elf,
        )
        self.elf_dependencies = []
        self.elastic_index = self.index_prefix + "-elf_dependencies"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _map_dependency_type(self, dt_tag_str: str) -> int:
        """Map dynamic tag string to enum value."""
        type_map = {
            'DT_NEEDED': 1,
            'DT_SONAME': 14,
            'DT_RPATH': 15,
            'DT_RUNPATH': 29
        }
        return type_map.get(dt_tag_str, 0)

    def _extract_dynamic_dependencies(self, elf) -> List[Dict]:
        """Extract dependencies from the dynamic section."""
        dependencies = []

        try:
            # Get the dynamic section
            dynamic_section = elf.get_section_by_name('.dynamic')
            if not dynamic_section:
                self.log.debug("No .dynamic section found")
                return dependencies

            # Iterate through dynamic tags
            for tag in dynamic_section.iter_tags():
                dt_tag = tag.entry.d_tag

                # Handle different dependency types
                if dt_tag == 'DT_NEEDED':
                    # Required library
                    dependency_name = tag.needed
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_NEEDED'),
                        dependency_type_str='NEEDED'
                    ))

                elif dt_tag == 'DT_SONAME':
                    # Shared object name
                    dependency_name = tag.soname
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_SONAME'),
                        dependency_type_str='SONAME'
                    ))

                elif dt_tag == 'DT_RPATH':
                    # Runtime library search path
                    dependency_name = tag.rpath
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_RPATH'),
                        dependency_type_str='RPATH'
                    ))

                elif dt_tag == 'DT_RUNPATH':
                    # Runtime library search path (newer)
                    dependency_name = tag.runpath
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_RUNPATH'),
                        dependency_type_str='RUNPATH'
                    ))

        except Exception as e:
            self.log.error(f"Error extracting dynamic dependencies: {e}")

        return dependencies

    def tag(self):
        return Tag.ELF_DEPENDENCIES.value if hasattr(Tag, 'ELF_DEPENDENCIES') else "elf_dependencies"

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)

            def extract_data(elf):
                # Extract dependencies - returns list of ELFDependency dataclasses
                dependencies = self._extract_dynamic_dependencies(elf)
                return dependencies

            if not self._is_elf_file():
                return None

            result = self._with_elf_file(extract_data)
            if result is None:
                return None

            self.elf_dependencies = result
            return self.elf_dependencies

        except Exception as e:
            self.log.error(f"Error extracting ELF dependencies {self.hash.sha256}: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        self.log.debug(inspect.currentframe().f_code.co_name)

        if exporter_type == "ElasticsearchExporter":
            return self.elf_dependencies
        elif exporter_type == "ClickHouseExporter":
            try:
                # Return valid empty structure if no dependencies (e.g., statically linked binary)
                # None is reserved for actual errors

                # Prepare data arrays for all dependencies
                data = []
                current_time = datetime.now(timezone.utc)
                for dep in self.elf_dependencies:
                    row = [
                        self.sha256,
                        self.md5,
                        self.sha1,
                        dep.dependency_name,
                        dep.dependency_type,
                        dep.dependency_type_str,
                        current_time
                    ]
                    data.append(row)

                column_names = [
                    'sha256', 'md5', 'sha1',
                    'dependency_name', 'dependency_type', 'dependency_type_str',
                    'analysis_date'
                ]

                if not data:
                    return None

                column_type_names = [
                    'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                    'LowCardinality(String)',
                    "Enum8('NEEDED'=1, 'SONAME'=14, 'RPATH'=15, 'RUNPATH'=29)",
                    'LowCardinality(String)',
                    'DateTime64(3, \'UTC\')'
                ]

                return (data, column_names, column_type_names)

            except Exception as e:
                self.log.error(f"Error preparing export data: {e}")
                raise

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