Katarzyna Abramczuk

25 papers B 1Journal 11Unranked 13
YearRankTypeTitle / Venue / Authors
2023 J jnl
Int. J. Hum. Comput. Stud.
Katarzyna Abramczuk, Zbigniew Bohdanowicz, Bartosz Muczynski, Kinga H. Skorupska, Daniel Cnotkowski
2023 conf
INTERACT (4)
Bartosz Muczynski, Kinga Skorupska, Katarzyna Abramczuk, Cezary Biele, Zbigniew Bohdanowicz, Daniel Cnotkowski, Jazmin Collins, Wieslaw Kopec, Jaroslaw Kowalski, Grzegorz Pochwatko, Thomas Logan
2023 J jnl
CoRR
Bartosz Muczynski, Kinga Skorupska, Katarzyna Abramczuk, Cezary Biele, Zbigniew Bohdanowicz, Daniel Cnotkowski, Jazmin Collins, Wieslaw Kopec, Jaroslaw Kowalski, Grzegorz Pochwatko, Thomas Logan
2021 J jnl
CoRR
Rafal Maslyk, Kinga Skorupska, Piotr Gago, Marcin Niewinski, Barbara Karpowicz, Anna Jaskulska, Katarzyna Abramczuk, Wieslaw Kopec
2020 conf
MIDI
Rafal Maslyk, Kinga Skorupska, Piotr Gago, Marcin Niewinski, Barbara Karpowicz, Anna Jaskulska, Katarzyna Abramczuk, Wieslaw Kopec
2020 conf
MIDI
Grzegorz Banerski, Gabriela Górska, Piotr Toczyski, Katarzyna Abramczuk
2019 conf
IHSED
Zbigniew Bohdanowicz, Jaroslaw Kowalski, Katarzyna Abramczuk, Grzegorz Banerski, Daniel Cnotkowski, Agata Kopacz, Pawel Kobylinski, Aldona Zdrodowska, Cezary Biele
2019 conf
CHI Extended Abstracts
Jaroslaw Kowalski, Anna Jaskulska, Kinga Skorupska, Katarzyna Abramczuk, Cezary Biele, Wieslaw Kopec, Krzysztof Marasek
2019 J jnl
CoRR
Jaroslaw Kowalski, Anna Jaskulska, Kinga Skorupska, Katarzyna Abramczuk, Cezary Biele, Wieslaw Kopec, Krzysztof Marasek
2019 conf
ESSA
Agata Komendant-Brodowska, Wander Jager, Katarzyna Abramczuk, Anna Baczko-Dombi, Benedikt Fecher, Nataliia Sokolovska, Tom Spits
2019 J jnl
CoRR
Wieslaw Kopec, Marcin Wichrowski, Krzysztof Kalinowski, Anna Jaskulska, Kinga Skorupska, Daniel Cnotkowski, Jakub Tyszka, Agata Popieluch, Anna Voitenkova, Rafal Maslyk, Piotr Gago, Maciej Krzywicki, Monika Kornacka, Cezary Biele, Pawel Kobylinski, Jaroslaw Kowalski, Katarzyna Abramczuk, Aldona Zdrodowska, Grzegorz Pochwatko, Jakub Mozaryn, Krzysztof Marasek
2018 J jnl
CoRR
Wieslaw Kopec, Marcin Skibinski, Cezary Biele, Kinga Skorupska, Dominika Tkaczyk, Anna Jaskulska, Katarzyna Abramczuk, Piotr Gago, Krzysztof Marasek
2018 J jnl
Decis. Support Syst.
Bettina von Helversen, Katarzyna Abramczuk, Wieslaw Kopec, Radoslaw Nielek
2018 conf
IHSED
Katarzyna Abramczuk, Michal Kakol, Radoslaw Nielek, Cezary Biele
2018 conf
ESSA
Wander Jager, Katarzyna Abramczuk, Agata Komendant-Brodowska, Anna Baczko-Dombi, Benedikt Fecher, Nataliia Sokolovska, Tom Spits
2017 J jnl
CoRR
Wieslaw Kopec, Katarzyna Abramczuk, Bartlomiej Balcerzak, Katarzyna Gniadzik, Grzegorz Kowalik, Radoslaw Nielek
2017 J jnl
CoRR
Wieslaw Kopec, Kinga Skorupska, Anna Jaskulska, Katarzyna Abramczuk, Radoslaw Nielek, Adam Wierzbicki
2017 B conf
WI
Wieslaw Kopec, Kinga Skorupska, Anna Jaskulska, Katarzyna Abramczuk, Radoslaw Nielek, Adam Wierzbicki
2016 conf
eHealth 360°
Wieslaw Kopec, Katarzyna Abramczuk, Bartlomiej Balcerzak, Marta Juzwin, Katarzyna Gniadzik, Grzegorz Kowalik, Radoslaw Nielek
2016 conf
HCI (4)
Katarzyna Abramczuk, Michal Kakol, Adam Wierzbicki
2015 J jnl
J. Artif. Soc. Soc. Simul.
Katarzyna Abramczuk
2014 conf
WWW (Companion Volume)
Maria Rafalak, Katarzyna Abramczuk, Adam Wierzbicki
2014 J jnl
J. Artif. Soc. Soc. Simul.
Adam Wierzbicki, Paulina Adamska, Katarzyna Abramczuk, Thanasis G. Papaioannou, Karl Aberer, Emilia Rejmund
2013 conf
WWW (Companion Volume)
Michal Kakol, Michal Jankowski-Lorek, Katarzyna Abramczuk, Adam Wierzbicki, Michele Catasta
2012 conf
WebQuality@WWW
Thanasis G. Papaioannou, Karl Aberer, Katarzyna Abramczuk, Paulina Adamska, Adam Wierzbicki
redb/extractors/macho_extractors/macho_dylibs.py
← Index redb/extractors/macho_extractors/macho_dylibs.py python
import hashlib
import inspect
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.macho_extractor import MachOExtractor
from redb.models.dataclasses import MachODylib


class MachODylibExtractor(MachOExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        macho=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            macho,
        )
        self.elastic_index = self.index_prefix + "-macho_dylibs"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.MACHO_DYLIB.value

    def _extract_dylibs(self):
        """Extract dynamic library information from all architectures in the MachO binary."""
        self.log.debug(inspect.currentframe().f_code.co_name)
        dylibs = []

        if not self.macho:
            return dylibs

        try:
            # Get architectures using new API (already parsed in base class)
            architectures = self.macho.get_architectures()
            if not architectures:
                return dylibs

            # Process each architecture
            for arch_name in architectures:
                # Get dylib commands using new API with architecture parameter
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Extract dylib commands for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        # Create dylib dataclass with architecture info
                        macho_dylib = MachODylib(
                            dylib_name=dylib_name,
                            dylib_timestamp=dylib_cmd.get('dylib_timestamp', 0),
                            dylib_current_version=dylib_cmd.get('dylib_current_version', 0),
                            dylib_compat_version=dylib_cmd.get('dylib_compat_version', 0),
                        )
                        # Add architecture info to the dylib
                        macho_dylib.architecture = arch_name
                        dylibs.append(macho_dylib)

                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name} in {self.hash.sha256}: {e}'
                        )
                        continue

            return dylibs

        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {e}")
            return dylibs

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            dylibs = self._extract_dylibs()
            return dylibs
        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            if not self.macho:
                return None

            # Get architectures (macho is already parsed in base class)
            try:
                architectures = self.macho.get_architectures()
                is_fat = len(architectures) > 1
            except Exception as e:
                self.log.error(f"Could not get architectures: {e}")
                return None

            data = []
            current_time = datetime.now(timezone.utc)

            # Loop through each architecture (1 for single, multiple for FAT)
            for arch_name in architectures:
                # Get architecture-specific sha256
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_header_raw = self.macho.get_macho_header(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)
                    arch_cputype_raw = arch_header_raw.get('cputype', 0) if arch_header_raw else 0
                except Exception as e:
                    self.log.warning(f"Could not get arch-specific data for {arch_name}: {e}")
                    arch_sha256 = self.sha256
                    arch_cputype_raw = 0

                # Get dylib commands for this architecture
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Process each dylib for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        data.append([
                            arch_sha256,                          # sha256 (architecture-specific)
                            dylib_name,                           # dylib_name
                            dylib_cmd.get('dylib_timestamp', 0), # dylib_timestamp
                            dylib_cmd.get('dylib_current_version', 0), # dylib_current_version
                            dylib_cmd.get('dylib_compat_version', 0),  # dylib_compat_version
                            current_time,                         # analysis_date
                        ])
                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name}: {e}'
                        )
                        continue

            column_names = [
                'sha256',
                'dylib_name', 'dylib_timestamp', 'dylib_current_version',
                'dylib_compat_version', 'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)',
                'String', 'UInt32', 'UInt32',
                'UInt32', 'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

    def get_clickhouse_table(self) -> str:
        return "redb_macho_dylibs"