Carolina Malagelada

22 papers B 1C 5Misc 3Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2023 J jnl
Comput. Medical Imaging Graph.
Pablo Laiz, Jordi Vitrià, Pere Gilabert, Hagen Wenzek, Carolina Malagelada, Angus J. M. Watson, Santi Seguí
2023 conf
CCIA
Pere Gilabert, Carolina Malagelada, Hagen Wenzek, Jordi Vitrià, Santi Seguí
2023 Misc conf
MVA
Pere Gilabert, Carolina Malagelada, Hagen Wenzek, Jordi Vitrià, Santi Seguí
2020 J jnl
Comput. Medical Imaging Graph.
Pablo Laiz, Jordi Vitrià, Hagen Wenzek, Carolina Malagelada, Fernando Azpiroz, Santi Seguí
2019 J jnl
CoRR
Pablo Laiz, Jordi Vitrià, Hagen Wenzek, Carolina Malagelada, Fernando Azpiroz, Santi Seguí
2016 C conf
CIARP
Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
2016 J jnl
CoRR
Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
2016 J jnl
Comput. Biol. Medicine
Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
2015 J jnl
Comput. Biol. Medicine
Michal Drozdzal, Santi Seguí, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
2014 J jnl
IEEE J. Biomed. Health Informatics
Santi Seguí, Michal Drozdzal, Ekaterina Zaytseva, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià
2014 B conf
ICIP
Michal Drozdzal, Jordi Vitrià, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Petia Radeva
2013 Misc conf
MVA
Santi Seguí, Ekaterina Zaytseva, Michal Drozdzal, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià
2013 J jnl
Comput. Medical Imaging Graph.
Michal Drozdzal, Santi Seguí, Jordi Vitrià, Carolina Malagelada, Fernando Azpiroz, Petia Radeva
2013 ch.
Multimodal Interaction in Image and Video Applications
Michal Drozdzal, Santi Seguí, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
2012 conf
HPCS
Petia Radeva, Michal Drozdzal, Santi Seguí, Laura Igual, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
2012 J jnl
IEEE Trans. Inf. Technol. Biomed.
Santi Seguí, Michal Drozdzal, Fernando Vilariño, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià
2011 Misc conf
IbPRIA
Michal Drozdzal, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià, Petia Radeva
2010 conf
CVPR Workshops
Michal Drozdzal, Laura Igual, Jordi Vitrià, Carolina Malagelada, Fernando Azpiroz, Petia Radeva
2008 C conf
ICVS
Santi Seguí, Laura Igual, Fernando Vilariño, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
2007 C conf
CIARP
Santi Seguí, Laura Igual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià
2006 C conf
CIARP
Fernando Vilariño, Panagiota Spyridonos, Jordi Vitrià, Carolina Malagelada, Petia Radeva
2006 C conf
CIARP
Fernando Vilariño, Panagiota Spyridonos, Jordi Vitrià, Carolina Malagelada, Petia Radeva
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"