Carmen Leicht-Scholten

16 papers C 3Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
AI Ethics
Laila Wegner, Marie Mirsch, Carmen Leicht-Scholten
2026 J jnl
AI Ethics
Marie Mirsch, Laila Wegner, Jonas Strube, Carmen Leicht-Scholten
2025 J jnl
CoRR
Marie Mirsch, Laila Wegner, Jonas Strube, Carmen Leicht-Scholten
2025 J jnl
CoRR
Roger Waldeck, Ann-Kristin Winkens, Clara Lemke, Carmen Leicht-Scholten, Haraldur Audunsson
2025 conf
EWAF
Marie Mirsch, Jonas Strube, Carmen Leicht-Scholten
2025 J jnl
Ethics Inf. Technol.
Marie Christin Decker, Laila Wegner, Carmen Leicht-Scholten
2024 conf
EWAF
Laila Wegner, Marie Christin Decker, Carmen Leicht-Scholten
2024 conf
EWAF
Marie Christin Decker, Laila Wegner, Carmen Leicht-Scholten
2023 C conf
ISTAS
Sebastian Bernhard, Sebastian Pütz, Calvin Röhl, Ralph Baier, Philipp Brauner, Ester Christou, Hannah Dammers, Roman Flaig, Leon M. Gorißen, Jan-Christoph Heilinger, Christian Hinke, István Koren, Dirk Lüttgens, Michael Millan, Kai Müller, Alexander Schollemann, Luisa Vervier, Thomas Gries, Alexander Mertens, Saskia K. Nagel, Frank T. Piller, Günther Schuh, Martina Ziefle, Verena Nitsch, Carmen Leicht-Scholten
2022 C conf
HSI
Sebastian Pütz, Ralph Baier, Philipp Brauner, Florian Brillowski, Hannah Dammers, Gian Luca Liehner, Alexander Mertens, Niklas Rodemann, Sebastian Schneider, Alexander Schollemann, Linda Steuer-Dankert, Luisa Vervier, Thomas Gries, Carmen Leicht-Scholten, Saskia K. Nagel, Frank T. Piller, Günther Schuh, Martina Ziefle, Verena Nitsch
2022 conf
Modellierung (Workshops)
Alexander Mertens, Philipp Brauner, Ralph Baier, Florian Brillowski, Hannah Dammers, Marc Van Dyck, Iris Kong, Peter Königs, Frauke Kordtomeikel, Gian Luca Liehner, Sebastian Pütz, Niklas Rodemann, Anne Kathrin Schaar, Linda Steuer-Dankert, Luisa Vervier, Shari Wlecke, Thomas Gries, Carmen Leicht-Scholten, Saskia K. Nagel, Frank T. Piller, Günther Schuh, Martina Ziefle, Verena Nitsch
2021 C conf
HSI
Alexander Mertens, Sebastian Pütz, Philipp Brauner, Florian Brillowski, Nadine Buczak, Hannah Dammers, Marc Van Dyck, Iris Kong, Peter Königs, Frauke Kordtomeikel, Niklas Rodemann, Anne Kathrin Schaar, Linda Steuer-Dankert, Shari Wlecke, Thomas Gries, Carmen Leicht-Scholten, Saskia K. Nagel, Frank T. Piller, Günther Schuh, Martina Ziefle, Verena Nitsch
2020 conf
AHFE (16)
Philipp Brauner, Florian Brillowski, Hannah Dammers, Peter Königs, Frauke Kordtomeikel, Henning Petruck, Anne Kathrin Schaar, Seth Schmitz, Linda Steuer-Dankert, Alexander Mertens, Thomas Gries, Carmen Leicht-Scholten, Saskia K. Nagel, Verena Nitsch, Günther Schuh, Martina Ziefle
2014 J jnl
XRDS
Tobias Berg, Rebecca Apel, Carmen Leicht-Scholten
2011 conf
GI-Jahrestagung
Carmen Leicht-Scholten, Martina Schraudner
2011 conf
GI-Jahrestagung
Rebecca Apel, Tobias Berg, Jan Holz, Philipp Brauner, Ulrik Schroeder, Andrea Wolffram, Carmen Leicht-Scholten
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"