Rafael Arnay

28 papers Misc 1Journal 21Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Log. J. IGPL
Rafael Arnay, Javier Hernández-Aceituno, José Francisco Gómez González, Santiago Torres, Juan Albino Méndez Pérez
2025 J jnl
IEEE Trans. Learn. Technol.
Rafael Herrero-Álvarez, Rafael Arnay, Eduardo Segredo, Gara Miranda, Coromoto León
2024 conf
DCAI (4)
Rafael Arnay, Javier Hernández-Aceituno, José Francisco Gómez González, Juan Albino Méndez Pérez
2024 J jnl
Multim. Tools Appl.
Rafael Arnay, Javier Hernández-Aceituno, Tinguaro Díaz-Alemán, José F. Sigut, Silvia Alayón, Francisco Fumero
2023 conf
CEV
Manuel Bacallado, Jesús Miguel Torres, Rafael Arnay
2023 J jnl
Mach. Learn. Sci. Technol.
José F. Sigut, Francisco Fumero, Rafael Arnay, José Estévez, Tinguaro Díaz-Alemán
2022 J jnl
J. Digit. Imaging
Javier Hernández-Aceituno, Rafael Arnay, Guadalberto Hernández, Laura Ezama, Niels Janssen
2021 J jnl
Log. J. IGPL
Jose M. Gonzalez-Cava, Rafael Arnay, Juan Albino Méndez Pérez, Ana León, María Martín, José Antonio Reboso, Esteban Jove-Pérez, José Luís Calvo-Rolle
2021 J jnl
Appl. Soft Comput.
Rafael Arnay, Javier Hernández-Aceituno, Carolina Mallol
2020 J jnl
Comput. Biol. Medicine
Jose M. Gonzalez-Cava, Rafael Arnay, Ana León, María Martín, José Antonio Reboso, José Luís Calvo-Rolle, Juan Albino Méndez Pérez
2020 J jnl
IEEE Trans. Educ.
José F. Sigut, Miguel Castro, Rafael Arnay, Marta Sigut
2020 J jnl
Simul.
Iván Castilla-Rodríguez, Rafael Arnay, Raquel Rodríguez, Jonel Rodríguez
2018 J jnl
Sensors
Jonay Toledo, José D. Piñeiro, Rafael Arnay, Daniel Acosta, Leopoldo Acosta
2017 conf
SOCO-CISIS-ICEUTE
Jose M. Gonzalez-Cava, Rafael Arnay, Juan Albino Méndez Pérez, Ana León, María Martín, Esteban Jove, José Luís Calvo-Rolle, José Luís Casteleiro-Roca, Francisco Javier de Cos Juez
2017 J jnl
Appl. Soft Comput.
Rafael Arnay, Francisco Fumero, José F. Sigut
2017 J jnl
Comput. Appl. Eng. Educ.
Rafael Arnay, Javier Hernández-Aceituno, Evelio J. González, Leopoldo Acosta
2016 J jnl
IEEE Intell. Transp. Syst. Mag.
Rafael Arnay, Néstor Morales, Antonio Morell, Javier Hernández-Aceituno, Daniel Perea, Jonay Toledo, Alberto F. Hamilton, Javier J. Sánchez Medina, Leopoldo Acosta
2016 J jnl
Eng. Appl. Artif. Intell.
Néstor Morales, Rafael Arnay, Jonay Toledo, Antonio Morell, Leopoldo Acosta
2015 J jnl
Neural Process. Lett.
Rafael Arnay, Leopoldo Acosta, Javier J. Sánchez Medina
2014 J jnl
Image Vis. Comput.
Rafael Arnay, Leopoldo Acosta
2013 conf
IWANN (1)
Rafael Arnay, Leopoldo Acosta
2013 J jnl
Eng. Appl. Artif. Intell.
Alberto F. Hamilton, Evelio J. González, Leopoldo Acosta, Rafael Arnay, Jesús Espelosín
2012 J jnl
Sensors
Javier Hernández-Aceituno, Leopoldo Acosta, Rafael Arnay
2011 J jnl
Comput. Vis. Image Underst.
Néstor Morales, Jonay Toledo, Leopoldo Acosta, Rafael Arnay
2009 J jnl
Sensors
Rafael Arnay, Leopoldo Acosta, Marta Sigut, Jonay Toledo
2009 conf
IWANN (2)
Evelio J. González, Leopoldo Acosta, Alberto F. Hamilton, Jonatán Felipe, Marta Sigut, Jonay Toledo, Rafael Arnay
2008 Misc conf
DCAI
Rafael Arnay, Leopoldo Acosta, Marta Sigut, Jonay Toledo
2008 conf
NICSO
Rafael Arnay, Leopoldo Acosta, Marta Sigut, Jonay Toledo
redb/extractors/elf_extractors/elf_exports.py
← Index redb/extractors/elf_extractors/elf_exports.py python
import inspect
from datetime import datetime, timezone
from typing import Any, List, Set

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 ELFExport


class ELFExportExtractor(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_exports = None
        self.elastic_index = self.index_prefix + "-elf_exports"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _get_exported_functions_from_symbols(self, elf) -> Set[str]:
        """Extract exported functions from symbol tables."""
        exported_functions = set()

        try:
            # Check both static (.symtab) and dynamic (.dynsym) symbol tables
            symbol_sections = ['.symtab', '.dynsym']

            for section_name in symbol_sections:
                section = elf.get_section_by_name(section_name)
                if not section or not hasattr(section, 'iter_symbols'):
                    continue

                for symbol in section.iter_symbols():
                    # Check if symbol is exported (defined and globally visible)
                    if (symbol.name and
                        symbol.entry.get('st_shndx', 0) != 'SHN_UNDEF' and  # Not undefined
                        symbol.entry.get('st_info', {}).get('bind') in ['STB_GLOBAL', 'STB_WEAK'] and  # Global or weak binding
                        symbol.entry.get('st_info', {}).get('type') in ['STT_FUNC', 'STT_OBJECT']):  # Function or object

                        # Additional checks for meaningful exports
                        if (symbol.entry.get('st_value', 0) > 0 or  # Has a value
                            symbol.entry.get('st_size', 0) > 0):    # Has a size
                            exported_functions.add(symbol.name)

        except Exception as e:
            self.log.error(f"Error extracting exported functions from symbols: {e}")

        return exported_functions

    def _get_exported_functions_from_dynamic_section(self, elf) -> Set[str]:
        """Extract exported functions information from dynamic section."""
        exported_functions = set()

        try:
            # Get the dynamic section
            dynamic_section = elf.get_section_by_name('.dynamic')
            if not dynamic_section:
                return exported_functions

            # Look for version definition sections that might indicate exports
            # This is complementary to symbol table analysis
            for tag in dynamic_section.iter_tags():
                if tag.entry.d_tag == 'DT_SONAME':
                    # If it has a SONAME, it's likely a shared library with exports
                    # The actual exports are still found in symbol tables
                    pass

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

        return exported_functions

    def _filter_meaningful_exports(self, exports: Set[str]) -> Set[str]:
        """Filter out compiler-generated and internal symbols to focus on meaningful exports."""
        filtered_exports = set()

        # Common patterns to exclude (compiler-generated, internal symbols)
        exclude_patterns = [
            '_start',
            '_init',
            '_fini',
            '__libc_',
            '__gmon_start__',
            '_IO_stdin_used',
            '__data_start',
            '__bss_start',
            '_edata',
            '_end',
            '__TMC_END__',
            '_ITM_deregisterTMCloneTable',
            '_ITM_registerTMCloneTable',
            '__cxa_finalize',
            '__gxx_personality_v0',
            '_Jv_RegisterClasses'
        ]

        for export in exports:
            # Skip empty or very short names
            if not export or len(export) < 2:
                continue

            # Skip symbols that match exclude patterns
            skip = False
            for pattern in exclude_patterns:
                if export.startswith(pattern):
                    skip = True
                    break

            # Skip symbols that look like internal mangled names (but keep reasonable C++ names)
            if export.startswith('_Z') and len(export) > 50:  # Very long mangled names
                skip = True

            if not skip:
                filtered_exports.add(export)

        return filtered_exports

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

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

            def extract_data(elf):
                # Extract exported functions from multiple sources
                exported_functions = set()

                # From symbol tables (primary source)
                symbol_exports = self._get_exported_functions_from_symbols(elf)
                exported_functions.update(symbol_exports)

                # From dynamic section (supplementary)
                dynamic_exports = self._get_exported_functions_from_dynamic_section(elf)
                exported_functions.update(dynamic_exports)

                # Filter out compiler-generated and internal symbols
                meaningful_exports = self._filter_meaningful_exports(exported_functions)

                # Convert to sorted list for consistent output
                export_functions_list = sorted(list(meaningful_exports))

                # Return ELFExport dataclass
                return ELFExport(
                    elf_exports_total=len(export_functions_list),
                    elf_export_functions=export_functions_list,
                )

            if not self._is_elf_file():
                return None

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

            self.elf_exports = result
            return self.elf_exports

        except Exception as e:
            self.log.error(f"Error extracting ELF exports {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_exports
        elif exporter_type == "ClickHouseExporter":
            try:
                if not self.elf_exports:
                    return None

                # Prepare data array
                data = [[
                    self.sha256,
                    self.md5,
                    self.sha1,
                    self.elf_exports.elf_exports_total,
                    self.elf_exports.elf_export_functions,
                    datetime.now(timezone.utc)
                ]]

                column_names = [
                    'sha256', 'md5', 'sha1',
                    'elf_exports_total',
                    'elf_export_functions',
                    'analysis_date'
                ]

                if not data:
                    return None

                column_type_names = [
                    'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                    'UInt32',
                    'Array(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_exports"