Natalia Petridou

17 papers Journal 17
YearRankTypeTitle / Venue / Authors
2022 J jnl
PLoS Comput. Biol.
Wouter Schellekens, Carlijn Bakker, Nick F. Ramsey, Natalia Petridou
2021 J jnl
NeuroImage
Giovanni Piantoni, Dora Hermes, Nick F. Ramsey, Natalia Petridou
2020 J jnl
NeuroImage
Laurentius Huber, Emily S. Finn, Daniel A. Handwerker, Marlene Bönstrup, Daniel R. Glen, Sriranga Kashyap, Dimo Ivanov, Natalia Petridou, Sean Marrett, Jozien B. M. Goense, Benedikt A. Poser, Peter A. Bandettini
2019 J jnl
NeuroImage
Natalia Petridou, Jeroen C. W. Siero
2018 J jnl
Neuroinformatics
Bart Ferguson, Natalia Petridou, Alessio Fracasso, Martijn P. van den Heuvel, Rachel M. Brouwer, Hilleke E. Hulshoff Pol, René S. Kahn, René C. W. Mandl
2018 J jnl
NeuroImage
Wouter Schellekens, Natalia Petridou, Nick F. Ramsey
2018 J jnl
NeuroImage
Alessio Fracasso, Peter R. Luijten, Serge O. Dumoulin, Natalia Petridou
2018 J jnl
NeuroImage
Serge O. Dumoulin, Alessio Fracasso, Wietske van der Zwaag, Jeroen C. W. Siero, Natalia Petridou
2017 J jnl
NeuroImage
Anna Gaglianese, Mariska J. Vansteensel, Ben M. Harvey, Serge O. Dumoulin, Natalia Petridou, Nick F. Ramsey
2016 J jnl
NeuroImage
Alessio Fracasso, Susanne J. van Veluw, Fredy Visser, Peter R. Luijten, Wim G. M. Spliet, Jaco J. M. Zwanenburg, Serge O. Dumoulin, Natalia Petridou
2016 J jnl
NeuroImage
Alessio Fracasso, Natalia Petridou, Serge O. Dumoulin
2014 J jnl
NeuroImage
Jeroen C. W. Siero, Dora Hermes, Johannes M. Hoogduin, Peter R. Luijten, Nick F. Ramsey, Natalia Petridou
2014 J jnl
NeuroImage
Mathijs Raemaekers, Wouter Schellekens, Richard J. A. van Wezel, Natalia Petridou, Gert Kristo, Nick F. Ramsey
2013 J jnl
NeuroImage
Ben M. Harvey, Mariska J. Vansteensel, Cyrille H. Ferrier, Natalia Petridou, Wietske Zuiderbaan, Erik J. Aarnoutse, Martin G. Bleichner, H. Chris Dijkerman, Martine J. E. van Zandvoort, Frans S. S. Leijten, Nick F. Ramsey, Serge O. Dumoulin
2011 J jnl
NeuroImage
Jaco J. M. Zwanenburg, Maarten J. Versluis, Peter R. Luijten, Natalia Petridou
2010 J jnl
NeuroImage
Natalia Petridou, Sam J. Wharton, A. Lotfipour, Penny A. Gowland, Richard Bowtell
2007 J jnl
NeuroImage
Jerzy Bodurka, F. Ye, Natalia Petridou, Kevin Murphy, Peter A. Bandettini
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"