Maciej Lawrynczuk

110 papers C 4Misc 16Journal 45Unranked 40
YearRankTypeTitle / Venue / Authors
2026 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Krzysztof Zarzycki, Maciej Lawrynczuk
2026 J jnl
Neurocomputing
Maciej Lawrynczuk
2025 J jnl
Comput. Secur.
Jakub Suchorab, Sebastian Plamowski, Maciej Lawrynczuk
2025 J jnl
SoftwareX
Krzysztof Cabaj, Sebastian Plamowski, Patryk Chaber, Maciej Lawrynczuk, Piotr M. Marusak, Robert Nebeluk, Andrzej Wojtulewicz, Krzysztof Zarzycki
2025 J jnl
Neurocomputing
Maciej Lawrynczuk, Krzysztof Zarzycki
2025 J jnl
Knowl. Based Syst.
Yaxin Wang, Tianyue Wang, Maciej Lawrynczuk
2024 J jnl
Sensors
Piotr M. Marusak, Robert Nebeluk, Andrzej Wojtulewicz, Krzysztof Cabaj, Patryk Chaber, Maciej Lawrynczuk, Sebastian Plamowski, Krzysztof Zarzycki
2024 conf
SGAI Conf. (1)
Krzysztof Zarzycki, Maciej Lawrynczuk
2024 J jnl
IEEE Access
Sebastian Plamowski, Robert Nebeluk, Andrzej Wojtulewicz, Krzysztof Cabaj, Patryk Chaber, Maciej Lawrynczuk, Piotr M. Marusak, Krzysztof Zarzycki
2023 J jnl
Sensors
Robert Nebeluk, Maciej Lawrynczuk
2023 J jnl
Sensors
Krzysztof Zarzycki, Patryk Chaber, Krzysztof Cabaj, Maciej Lawrynczuk, Piotr M. Marusak, Robert Nebeluk, Sebastian Plamowski, Andrzej Wojtulewicz
2023 J jnl
IEEE Access
Krzysztof Zarzycki, Patryk Chaber, Krzysztof Cabaj, Maciej Lawrynczuk, Piotr M. Marusak, Robert Nebeluk, Sebastian Plamowski, Andrzej Wojtulewicz
2023 J jnl
Sensors
Krzysztof Zarzycki, Maciej Lawrynczuk
2023 conf
PCC (1)
Robert Nebeluk, Maciej Lawrynczuk
2023 conf
PCC (1)
Krzysztof Zarzycki, Maciej Lawrynczuk
2022 J jnl
Inf. Sci.
Krzysztof Zarzycki, Maciej Lawrynczuk
2022 J jnl
Sensors
Patryk Chaber, Pawel D. Domanski, Daniel Dabrowski, Maciej Lawrynczuk, Robert Nebeluk, Sebastian Plamowski, Krzysztof Zarzycki
2022 conf
MED
Krzysztof Zarzycki, Maciej Lawrynczuk
2022 conf
MED
Robert Nebeluk, Maciej Lawrynczuk
2022 J jnl
Neurocomputing
Maciej Lawrynczuk
2022 book
Maciej Lawrynczuk
2022 J jnl
Algorithms
Maciej Lawrynczuk
2021 J jnl
IEEE Access
Michal Okulski, Maciej Lawrynczuk
2021 J jnl
Sensors
Maciej Lawrynczuk, Robert Nebeluk
2021 J jnl
IEEE Access
Robert Nebeluk, Maciej Lawrynczuk
2021 J jnl
Sensors
Krzysztof Zarzycki, Maciej Lawrynczuk
2021 J jnl
IEEE Access
Pawel D. Domanski, Maciej Lawrynczuk
2021 J jnl
Sensors
Krzysztof Zarzycki, Maciej Lawrynczuk
2021 J jnl
Inf. Sci.
Inez Okulska, Maciej Lawrynczuk
2021 J jnl
Algorithms
Robert Nebeluk, Maciej Lawrynczuk
2020 conf
KKA
Andrzej Wojtulewicz, Maciej Lawrynczuk
2020 J jnl
Comput. Chem. Eng.
Piotr Tatjewski, Maciej Lawrynczuk
2020 J jnl
IEEE Trans. Ind. Informatics
Patryk Chaber, Maciej Lawrynczuk
2020 J jnl
IEEE Access
Pawel D. Domanski, Maciej Lawrynczuk
2020 conf
KKA
Krzysztof Zarzycki, Maciej Lawrynczuk
2020 conf
KKA
Michal Okulski, Maciej Lawrynczuk
2020 C conf
ACC
Pawel D. Domanski, Maciej Lawrynczuk
2020 J jnl
IEEE Access
Krzysztof Dziuba, Radoslaw Góra, Pawel D. Domanski, Maciej Lawrynczuk
2020 J jnl
Int. J. Appl. Math. Comput. Sci.
Maciej Lawrynczuk
2020 J jnl
Inf. Sci.
Maciej Lawrynczuk, Piotr Tatjewski
2020 conf
KKA
Jakub Sawulski, Maciej Lawrynczuk
2020 conf
KKA
Robert Nebeluk, Maciej Lawrynczuk
2019 Misc conf
MMAR
Michal Okulski, Maciej Lawrynczuk
2019 J jnl
IEEE Trans. Ind. Informatics
Patryk Chaber, Maciej Lawrynczuk
2019 Misc conf
MMAR
Pawel D. Domanski, Maciej Lawrynczuk, Sebastian Golonka, Bartosz Moszowski, Piotr Matyja
2019 J jnl
Inf. Sci.
Jakub Sawulski, Maciej Lawrynczuk
2019 conf
ECC
Jakub Sawulski, Maciej Lawrynczuk
2018 conf
AUTOMATION
Michal Okulski, Maciej Lawrynczuk
2018 Misc conf
MMAR
Andrzej Wojtulewicz, Maciej Lawrynczuk
2018 Misc conf
MMAR
Michal Okulski, Maciej Lawrynczuk
2018 Misc conf
MMAR
Jakub Sawulski, Maciej Lawrynczuk
2018 J jnl
Complex.
Maciej Lawrynczuk
2017 J jnl
Int. J. Appl. Math. Comput. Sci.
Pawel D. Domanski, Maciej Lawrynczuk
2017 conf
KKA
Patryk Chaber, Maciej Lawrynczuk
2017 conf
KKA
Kamil Czerwinski, Maciej Lawrynczuk
2017 conf
KKA
Patryk Chaber, Maciej Lawrynczuk
2016 Misc conf
MMAR
Maciej Lawrynczuk
2016 Misc conf
MMAR
Patryk Chaber, Maciej Lawrynczuk
2016 Misc conf
MMAR
Piotr Tatjewski, Maciej Lawrynczuk, Piotr M. Marusak, Marian Rubik, Piotr Zietek, Maciej Szumski, Michal Szumski
2016 J jnl
Neurocomputing
Maciej Lawrynczuk
2016 Misc conf
MMAR
Andrzej Wojtulewicz, Patryk Chaber, Maciej Lawrynczuk
2016 conf
AUTOMATION
Maciej Lawrynczuk
2016 conf
AUTOMATION
Antoni Wysocki, Maciej Lawrynczuk
2015 Misc conf
MMAR
Maciej Lawrynczuk
2015 Misc conf
MMAR
Antoni Wysocki, Maciej Lawrynczuk
2015 J jnl
Int. J. Appl. Math. Comput. Sci.
Maciej Lawrynczuk
2015 ch.
Progress in Automation, Robotics and Measuring Techniques
Antoni Wysocki, Maciej Lawrynczuk
2015 Misc conf
MMAR
Patryk Chaber, Maciej Lawrynczuk
2015 ch.
Progress in Automation, Robotics and Measuring Techniques
Patryk Chaber, Maciej Lawrynczuk
2014 J jnl
Neurocomputing
Maciej Lawrynczuk
2014 conf
ISIC
Maciej Lawrynczuk
2014 ch.
Recent Advances in Automation, Robotics and Measuring Techniques
Antoni Wysocki, Maciej Lawrynczuk
2013 C conf
FedCSIS
Antoni Wysocki, Maciej Lawrynczuk
2013 conf
ICAISC (1)
Maciej Lawrynczuk
2013 conf
ICANNGA
Maciej Lawrynczuk
2012 conf
ICAISC (1)
Maciej Lawrynczuk
2011 J jnl
Appl. Soft Comput.
Maciej Lawrynczuk
2011 conf
ICANNGA (1)
Maciej Lawrynczuk
2011 J jnl
Eng. Appl. Artif. Intell.
Maciej Lawrynczuk
2011 C conf
ISMIS
Maciej Lawrynczuk
2011 conf
ICANNGA (1)
Maciej Lawrynczuk
2010 conf
ICAISC (2)
Maciej Lawrynczuk, Piotr Tatjewski
2010 J jnl
Neurocomputing
Maciej Lawrynczuk
2010 conf
ICAISC (2)
Maciej Lawrynczuk
2010 conf
RSCTC
Maciej Lawrynczuk
2010 conf
IEA/AIE (3)
Maciej Lawrynczuk
2010 J jnl
Int. J. Appl. Math. Comput. Sci.
Maciej Lawrynczuk, Piotr Tatjewski
2010 J jnl
Appl. Intell.
Maciej Lawrynczuk
2010 conf
ISARCS
Piotr Gawkowski, Konrad Grochowski, Maciej Lawrynczuk, Piotr M. Marusak, Janusz Sosnowski, Piotr Tatjewski
2010 J jnl
Neurocomputing
Maciej Lawrynczuk
2009 conf
ICANNGA
Maciej Lawrynczuk
2009 conf
ICANNGA
Maciej Lawrynczuk
2009 conf
PPAM (1)
Maciej Lawrynczuk
2009 J jnl
Int. J. Appl. Math. Comput. Sci.
Maciej Lawrynczuk
2009 conf
ECC
Piotr Tatjewski, Maciej Lawrynczuk, Piotr M. Marusak
2009 ch.
Intelligent Systems for Knowledge Management
Maciej Lawrynczuk
2009 conf
ECC
Piotr Gawkowski, Maciej Lawrynczuk, Piotr M. Marusak, Piotr Tatjewski, Janusz Sosnowski
2008 conf
EIAT/IETA
Piotr Gawkowski, Maciej Lawrynczuk, Piotr M. Marusak, Piotr Tatjewski, Janusz Sosnowski
2008 conf
EIAT/IETA
Maciej Lawrynczuk, Piotr M. Marusak, Piotr Tatjewski
2008 Misc conf
ICAISC
Maciej Lawrynczuk, Piotr Tatjewski
2008 Misc conf
AIMSA
Maciej Lawrynczuk
2008 Misc conf
AIMSA
Maciej Lawrynczuk
2008 C conf
IEA/AIE
Maciej Lawrynczuk
2007 conf
RSEISP
Maciej Lawrynczuk, Piotr Tatjewski
2007 J jnl
Int. J. Appl. Math. Comput. Sci.
Maciej Lawrynczuk
2007 conf
ICANNGA (2)
Maciej Lawrynczuk
2007 conf
ICANN (2)
Maciej Lawrynczuk
2007 conf
ICANN (2)
Maciej Lawrynczuk
2006 Misc conf
ICAISC
Maciej Lawrynczuk, Piotr Tatjewski
2003 conf
ECC
Maciej Lawrynczuk, Piotr Tatjewski
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"