Ingrid Falk

24 papers A 1B 4C 1Misc 1Journal 5Unranked 11
YearRankTypeTitle / Venue / Authors
2018 J jnl
CoRR
Ingrid Falk, Delphine Bernhard, Christophe Gérard
2017 conf
IWCS(1)
Ingrid Falk, Fabienne Martin
2017 J jnl
CoRR
Ingrid Falk, Fabienne Martin
2016 B conf
LREC
Ingrid Falk, Achim Stein
2016 B conf
LREC
Ingrid Falk, Fabienne Martin
2016 conf
*SEM@ACL
Ingrid Falk, Fabienne Martin
2015 J jnl
Neurocomputing
Jean-Charles Lamirel, Ingrid Falk, Claire Gardent
2014 J jnl
Ann. Math. Artif. Intell.
Ingrid Falk, Claire Gardent
2014 B conf
LREC
Ingrid Falk, Delphine Bernhard, Christophe Gérard
2014 conf
TALN (2)
Ingrid Falk, Delphine Bernhard, Christophe Gérard
2014 conf
TALN (2)
Ingrid Falk, Delphine Bernhard, Christophe Gérard, Romain Potier-Ferry
2012 conf
ACL (1)
Ingrid Falk, Claire Gardent, Jean-Charles Lamirel
2012 conf
WSOM
Jean-Charles Lamirel, Ingrid Falk, Claire Gardent
2012
Ingrid Falk
2012 B conf
LREC
Alexandre Denis, Ingrid Falk, Claire Gardent, Laura Perez-Beltrachini
2011 conf
CLA
Ingrid Falk, Claire Gardent
2010 conf
CLA
Ingrid Falk, Claire Gardent, Alejandra Lorenzo
2009 J jnl
CoRR
Ingrid Falk, Claire Gardent, Évelyne Jacquey, Fabienne Venant
2009 Misc conf
RANLP
Ingrid Falk, Claire Gardent, Évelyne Jacquey, Fabienne Venant
2009 C conf
KEOD
Ingrid Falk, Samuel Cruz-Lara, Nadia Bellalem, Lotfi Bellalem
2009 conf
TALN (Articles longs)
Ingrid Falk, Claire Gardent, Évelyne Jacquey, Fabienne Venant
2007 A conf
ICDAR
Abdel Belaïd, Ingrid Falk, Yves Rangoni
2007 conf
TALN (Articles longs)
Ingrid Falk, Gil Francopoulo, Claire Gardent
2006 conf
TALN (Articles longs)
Claire Gardent, Bruno Guillaume, Guy Perrier, Ingrid Falk
redb/extractors/elf_extractors/elf_sections.py
← Index redb/extractors/elf_extractors/elf_sections.py python
import inspect
import hashlib
import math
from collections import Counter
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 ELFSection


class ELFSectionExtractor(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_sections = []
        self.elastic_index = self.index_prefix + "-elf_sections"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _is_empty_result(self, extracted_data) -> bool:
        """
        Override: Empty sections is an ERROR, not a valid empty case.
        A valid ELF file must have sections (at minimum a null section).
        """
        # Always return False - empty sections should be treated as an error
        return False

    def _calculate_entropy(self, data: bytes) -> float:
        """Calculate Shannon entropy of data."""
        if not data:
            return 0.0

        try:
            # Count frequency of each byte
            byte_counts = Counter(data)
            data_len = len(data)

            # Calculate entropy
            entropy = 0.0
            for count in byte_counts.values():
                if count > 0:
                    frequency = count / data_len
                    entropy -= frequency * math.log2(frequency)

            return entropy
        except Exception as e:
            self.log.error(f"Error calculating entropy: {e}")
            return 0.0

    def _map_section_type(self, sh_type_str: str) -> int:
        """Map section type string to enum value."""
        type_map = {
            'SHT_NULL': 0,
            'SHT_PROGBITS': 1,
            'SHT_SYMTAB': 2,
            'SHT_STRTAB': 3,
            'SHT_RELA': 4,
            'SHT_HASH': 5,
            'SHT_DYNAMIC': 6,
            'SHT_NOTE': 7,
            'SHT_NOBITS': 8,
            'SHT_REL': 9,
            'SHT_DYNSYM': 11
        }
        return type_map.get(sh_type_str, 0)

    def _decode_section_flags(self, flags: int) -> List[str]:
        """Decode section flags to human-readable strings."""
        flag_strings = []

        # Common ELF section flags
        if flags & 0x1:  # SHF_WRITE
            flag_strings.append('WRITE')
        if flags & 0x2:  # SHF_ALLOC
            flag_strings.append('ALLOC')
        if flags & 0x4:  # SHF_EXECINSTR
            flag_strings.append('EXECINSTR')
        if flags & 0x10:  # SHF_MERGE
            flag_strings.append('MERGE')
        if flags & 0x20:  # SHF_STRINGS
            flag_strings.append('STRINGS')
        if flags & 0x40:  # SHF_INFO_LINK
            flag_strings.append('INFO_LINK')
        if flags & 0x80:  # SHF_LINK_ORDER
            flag_strings.append('LINK_ORDER')
        if flags & 0x100:  # SHF_OS_NONCONFORMING
            flag_strings.append('OS_NONCONFORMING')
        if flags & 0x200:  # SHF_GROUP
            flag_strings.append('GROUP')
        if flags & 0x400:  # SHF_TLS
            flag_strings.append('TLS')

        return flag_strings if flag_strings else ['NONE']

    def _extract_section_data(self, section) -> Dict:
        """Extract data from a single section."""
        try:
            header = section.header

            # Get section name (handle empty names)
            section_name = section.name if section.name else f"<unnamed_{section.header.get('sh_name', 0)}>"

            # Get section type and map to enum
            sh_type_str = header.get('sh_type', 'SHT_NULL')
            section_type_enum = self._map_section_type(sh_type_str)
            section_type_str = sh_type_str.replace('SHT_', '') if sh_type_str.startswith('SHT_') else sh_type_str

            # Get section properties
            section_flags = header.get('sh_flags', 0)
            section_flags_str = self._decode_section_flags(section_flags)
            section_addr = header.get('sh_addr', 0)
            section_offset = header.get('sh_offset', 0)
            section_size = header.get('sh_size', 0)
            section_link = header.get('sh_link', 0)
            section_info = header.get('sh_info', 0)
            section_addralign = header.get('sh_addralign', 0)
            section_entsize = header.get('sh_entsize', 0)

            # Calculate entropy and hashes for section data
            section_entropy = 0.0
            section_sha256 = ""
            section_md5 = ""

            try:
                if section_size > 0 and section_type_str != 'NOBITS':
                    section_data = section.data()
                    if section_data:
                        # Calculate entropy
                        section_entropy = self._calculate_entropy(section_data)

                        # Calculate hashes
                        section_sha256 = hashlib.sha256(section_data).hexdigest()
                        section_md5 = hashlib.md5(section_data).hexdigest()
            except Exception as e:
                self.log.warning(f"Could not read section '{section_name}' data: {e}")
                section_entropy = 0.0
                section_sha256 = ""
                section_md5 = ""

            return ELFSection(
                section_name=section_name,
                section_type=section_type_enum,
                section_type_str=section_type_str,
                section_flags=section_flags,
                section_flags_str=section_flags_str,
                section_addr=section_addr,
                section_offset=section_offset,
                section_size=section_size,
                section_link=section_link,
                section_info=section_info,
                section_addralign=section_addralign,
                section_entsize=section_entsize,
                section_entropy=section_entropy,
                section_sha256=section_sha256,
                section_md5=section_md5
            )

        except Exception as e:
            self.log.error(f"Error extracting section data: {e}")
            return None

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

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

            def extract_data(elf):
                sections_data = []

                # Iterate through all sections with per-section error handling
                for section_index, section in enumerate(elf.iter_sections()):
                    try:
                        section_data = self._extract_section_data(section)
                        if section_data:
                            sections_data.append(section_data)
                        else:
                            self.log.warning(f"Failed to extract data for section {section_index}")
                    except Exception as e:
                        self.log.warning(f"Error processing section {section_index}: {e}")
                        # Continue processing other sections

                return sections_data

            if not self._is_elf_file():
                return None

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

            self.elf_sections = result
            return self.elf_sections

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

                # Prepare data arrays for all sections
                data = []
                current_time = datetime.now(timezone.utc)
                for section in self.elf_sections:
                    row = [
                        self.sha256,
                        self.md5,
                        self.sha1,
                        section.section_name,
                        section.section_type,
                        section.section_type_str,
                        section.section_flags,
                        section.section_flags_str,
                        section.section_addr,
                        section.section_offset,
                        section.section_size,
                        section.section_link,
                        section.section_info,
                        section.section_addralign,
                        section.section_entsize,
                        section.section_entropy,
                        section.section_sha256,
                        section.section_md5,
                        current_time
                    ]
                    data.append(row)

                column_names = [
                    'sha256', 'md5', 'sha1',
                    'section_name', 'section_type', 'section_type_str',
                    'section_flags', 'section_flags_str',
                    'section_addr', 'section_offset', 'section_size',
                    'section_link', 'section_info', 'section_addralign', 'section_entsize',
                    'section_entropy', 'section_sha256', 'section_md5',
                    'analysis_date'
                ]

                column_type_names = [
                    'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                    'LowCardinality(String)',
                    "Enum8('NULL'=0, 'PROGBITS'=1, 'SYMTAB'=2, 'STRTAB'=3, 'RELA'=4, 'HASH'=5, 'DYNAMIC'=6, 'NOTE'=7, 'NOBITS'=8, 'REL'=9, 'DYNSYM'=11)",
                    'LowCardinality(String)',
                    'UInt64',
                    'Array(LowCardinality(String))',
                    'UInt64', 'UInt64', 'UInt64',
                    'UInt32', 'UInt32', 'UInt64', 'UInt64',
                    'Float64',
                    'FixedString(64)', 'FixedString(32)',
                    'DateTime64(3, \'UTC\')'
                ]

                if not data:
                    return None

                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_sections"