Oliver Scholz

20 papers B 1C 1Misc 1Journal 7Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Andreas Gilson, Peter Pietrzyk, Chiara Paglia, Annika Killer, Fabian Keil, Lukas Meyer, Dominikus Kittemann, Patrick Noack, Oliver Scholz
2025 J jnl
CoRR
Andreas Gilson, Lukas Meyer, Oliver Scholz, Ute Schmid
2024 conf
GIL
Andreas Gilson, Mareike Weule, Jonathan Hansen, Lukas Meyer, Fabian Keil, Oliver Scholz, Annika Killer, Patrick Noack, Marc Stamminger, Ute Schmid
2023 conf
CVPR Workshops
Lukas Meyer, Andreas Gilson, Oliver Scholz, Marc Stamminger
2023 J jnl
CoRR
Lukas Meyer, Andreas Gilson, Oliver Scholz, Marc Stamminger
2023 conf
GIL Jahrestagung
Lukas Meyer, Andreas Gilson, Franz Uhrmann, Mareike Weule, Fabian Keil, Bernhard Haunschild, Joachim Oschek, Marco Steglich, Jonathan Hansen, Marc Stamminger, Oliver Scholz
2019 conf
PKDD/ECML Workshops (1)
Ludwig Schallner, Johannes Rabold, Oliver Scholz, Ute Schmid
2019 J jnl
CoRR
Ludwig Schallner, Johannes Rabold, Oliver Scholz, Ute Schmid
2016 conf
GIL Jahrestagung
Michael Siebers, Franz Uhrmann, Oliver Scholz, Christoph Stocker, Ute Schmid
2013 conf
LWA
Christoph Stocker, Franz Uhrmann, Oliver Scholz, Michael Siebers, Ute Schmid
2011 J jnl
CoRR
Serge Kernbach, Florian Schlachter, Raja Humza, Jens Liedke, Sergej Popesku, Sheila Russo, Tommaso Ranzani, Luigi Manfredi, Cesare Stefanini, Rene Matthias, Christopher S. F. Schwarzer, Benjamin Girault, P. Alschbach, Eugen Meister, Oliver Scholz
2011 J jnl
CoRR
Serge Kernbach, Oliver Scholz, Kanako Harada, Sergej Popesku, Jens Liedke, Raja Humza, Wenguo Liu, Fabio Caparrelli, Jaouhar Jemai, Jiri Havlik, Eugen Meister, Paul Levi
2009 B conf
IEEE Congress on Evolutionary Computation
Serge Kernbach, Eugen Meister, Oliver Scholz, Raja Humza, Jens Liedke, Leonardo Ricotti, Jaouhar Jemai, Jiri Havlik, Wenguo Liu
2008 Misc conf
ICASSP
Alex Acero, Neal Bernstein, Rob Chambers, Yun-Cheng Ju, Xinggang Li, Julian Odell, Patrick Nguyen, Oliver Scholz, Geoffrey Zweig
2008 conf
NanoNet
Paolo Corradi, Thomas Schmickl, Oliver Scholz, Arianna Menciassi, Paolo Dario
2007 conf
ROBOCOMM
Oscar Alonso, Ángel Dieguez, Raimon Casanova, Andreu Sanuy, Oliver Scholz, Paolo Corradi, Josep Samitier
2007 J jnl
IEEE Trans. Robotics
Sohee Kim, Thorsten Knoll, Oliver Scholz
2005 conf
ISCAS (1)
Raimon Casanova, Junajo Lacort, Ángel Dieguez, Anna Arbat, Manel Puig, Josep Samitier, Marc Nierlich, Oliver Steinmetz, Oliver Scholz
2003 conf
SEUH
Horst Lichter, Ralf Melchisedech, Oliver Scholz, Thomas Weiler
1994 C conf
ENTER
Gernot Starke, Oliver Scholz
redb/extractors/macho_extractors/macho_imports.py
← Index redb/extractors/macho_extractors/macho_imports.py python
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 MachOImport


class MachOImportExtractor(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_imports"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_imports(self, arch_name=None):
        """Extract import information from the MachO binary for a specific architecture.

        Handles machofile v2026.2.4+ API where get_imported_functions() returns:
        Dict[str, List[Dict]] where each dict has {'name': str, 'sources': [str, ...]}
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            # Get imported functions using API for specific architecture
            imported_functions = self.macho.get_imported_functions(arch=arch_name)
            if not imported_functions:
                return None

            # Keep the library→functions mapping (like PE does)
            library_names = []
            imports_with_mapping = []  # List of {library: [(name, source), ...]}

            for dylib_name, functions in imported_functions.items():
                # v2026.2.4+: dylib_name is already str, but handle bytes for compatibility
                if isinstance(dylib_name, bytes):
                    dylib_name = dylib_name.decode('utf-8', errors='replace')
                library_names.append(dylib_name)

                # Process function entries
                func_list = []
                for func_entry in functions:
                    # v2026.2.4+: func_entry is {'name': str, 'sources': [str, ...]}
                    if isinstance(func_entry, dict):
                        func_name = func_entry.get('name', '')
                        # Join sources if multiple, take first if single
                        sources = func_entry.get('sources', [])
                        import_source = sources[0] if sources else None
                        func_list.append((func_name, import_source))
                    else:
                        # Legacy format: func_entry is str or bytes
                        if isinstance(func_entry, bytes):
                            func_entry = func_entry.decode('utf-8', errors='replace')
                        func_list.append((func_entry, None))

                imports_with_mapping.append({dylib_name: func_list})

            # Count total functions
            total_functions = sum(len(list(d.values())[0]) for d in imports_with_mapping)

            # Create import dataclass with mapping preserved
            macho_import = MachOImport(
                macho_imports_total=total_functions,
                macho_import_libraryName=library_names if library_names else None,
                macho_import_functions=imports_with_mapping if imports_with_mapping else None
            )

            return macho_import

        except Exception as e:
            self.log.error(f"Error extracting MachO imports for arch {arch_name}: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            # Get architectures (macho is already parsed in base class)
            architectures = self.macho.get_architectures()
            if len(architectures) > 1:
                # FAT binary - return list of imports for each architecture
                results = []
                for arch_name in architectures:
                    imports = self._extract_imports(arch_name)
                    if imports:
                        imports.arch_identifier = arch_name
                        results.append(imports)
                return results
            else:
                # Single architecture - return single result
                return self._extract_imports(architectures[0] if architectures else None)
        except Exception as e:
            self.log.error(f"Error extracting MachO imports: {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

            # Flatten the data - one row per function import (like PE imports)
            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 imports for this architecture
                macho_import = self._extract_imports(arch_name)
                if not macho_import or not macho_import.macho_import_functions:
                    continue

                # Flatten to one row per (library, function) pair
                for lib_funcs in macho_import.macho_import_functions:
                    for lib, funcs in lib_funcs.items():
                        for func_name, import_source in funcs:
                            data.append([
                                arch_sha256,        # sha256 (arch-specific)
                                lib,                # library_name
                                func_name,          # function_name
                                import_source,      # import_source (chained_fixups, bind_opcodes, symtab)
                                current_time,       # analysis_date
                            ])

            column_names = [
                'sha256',
                'library_name', 'function_name', 'import_source',
                'analysis_date'
            ]

            if not data:
                return None

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

            return (data, column_names, column_type_names)

        return None

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