Karol Kowalski

31 papers A* 1A 4B 1C 2Misc 2Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Mach. Learn. Sci. Technol.
Senwei Liang, Karol Kowalski, Chao Yang, Nicholas P. Bauman
2025 conf
SC Workshops
Tanzila Tabassum, Omer Subasi, Ajay Panyala, Epiya Ebiapia, Gerald Baumgartner, Erdal Mutlu, P. Sadayappan, Karol Kowalski
2025 J jnl
CoRR
Tanzila Tabassum, Omer Subasi, Ajay Panyala, Epiya Ebiapia, Gerald Baumgartner, Erdal Mutlu, P. Sadayappan, Karol Kowalski
2024 A conf
IPDPS
S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar
2024 J jnl
CoRR
S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar
2023 conf
SC Workshops
Meng Wang, Fei Hua, Chenxu Liu, Nicholas P. Bauman, Karol Kowalski, Daniel Claudino, Travis S. Humble, Prashant J. Nair, Ang Li
2023 J jnl
CoRR
Bo Peng, Yuan Su, Daniel Claudino, Karol Kowalski, Guang Hao Low, Martin Roetteler
2022 A* conf
ISCA
Samuel A. Stein, Nathan Wiebe, Yufei Ding, Bo Peng, Karol Kowalski, Nathan A. Baker, James Ang, Ang Li
2022 J jnl
Quantum
Trevor Keen, Bo Peng, Karol Kowalski, Pavel Lougovski, Steven Johnston
2022 J jnl
CoRR
Duo Song, Nicholas P. Bauman, Guen Prawiroatmodjo, Bo Peng, Cassandra Granade, Kevin M. Rosso, Guang Hao Low, Martin Roetteler, Karol Kowalski, Eric J. Bylaska
2022 J jnl
CoRR
Erdal Mutlu, Ajay Panyala, Karol Kowalski, Nicholas P. Bauman, Bo Peng, Jiri Brabec, Sriram Krishnamoorthy
2021 J jnl
Comput. Phys. Commun.
Bo Peng, Ajay Panyala, Karol Kowalski, Sriram Krishnamoorthy
2021 J jnl
J. Comput. Chem.
Jiri Brabec, Jan Brandejs, Karol Kowalski, Sotiris S. Xantheas, Örs Legeza, Libor Veis
2021 J jnl
Quantum
Bo Peng, Karol Kowalski
2020 A conf
SC
Jinsung Kim, Ajay Panyala, Bo Peng, Karol Kowalski, P. Sadayappan, Sriram Krishnamoorthy
2019 Misc conf
HiPC
Arif M. Khan, Mahantesh Halappanavar, Tobias Hagge, Karol Kowalski, Alex Pothen, Sriram Krishnamoorthy
2019 conf
ICINCO (1)
Krystian Erwinski, Karol Kowalski, Marcin Paprocki
2019 J jnl
CoRR
Guang Hao Low, Nicholas P. Bauman, Christopher E. Granade, Bo Peng, Nathan Wiebe, Eric J. Bylaska, Dave Wecker, Sriram Krishnamoorthy, Martin Roetteler, Karol Kowalski, Matthias Troyer, Nathan A. Baker
2019 conf
ARRAY@PLDI
Erdal Mutlu, Karol Kowalski, Sriram Krishnamoorthy
2017 J jnl
J. Comput. Chem.
Teerapong Pirojsirikul, Andreas W. Götz, John H. Weare, Ross C. Walker, Karol Kowalski, Marat Valiev
2017 B conf
PPoPP
Samyam Rajbhandari, Fabrice Rastello, Karol Kowalski, Sriram Krishnamoorthy, P. Sadayappan
2014 A conf
SC
Edoardo Aprà, Michael Klemm, Karol Kowalski
2014 C conf
CLUSTER
Heike McCraw, Anthony Danalis, Thomas Hérault, George Bosilca, Jack J. Dongarra, Karol Kowalski, Theresa L. Windus
2013 J jnl
Clust. Comput.
Wenjing Ma, Sriram Krishnamoorthy, Oreste Villa, Karol Kowalski, Gagan Agrawal
2012 Misc conf
ICCS
Pai-Wei Lai, Huaijian Zhang, Samyam Rajbhandari, Edward F. Valeev, Karol Kowalski, P. Sadayappan
2011 conf
Euro-Par (2)
Nawab Ali, Sriram Krishnamoorthy, Niranjan Govind, Karol Kowalski, Ponnuswamy Sadayappan
2011 ch.
Encyclopedia of Parallel Computing
Niranjan Govind, Eric J. Bylaska, Wibe A. de Jong, Karol Kowalski, Tjerk P. Straatsma, Marat Valiev, Hubertus Johannes Jacobus Van Dam
2011 conf
ICST Workshops
Anna Derezinska, Karol Kowalski
2011 A conf
SC
Karol Kowalski, Sriram Krishnamoorthy, Ryan M. Olson, Vinod Tipparaju, Edoardo Aprà
2010 C conf
CLUSTER
Wenjing Ma, Sriram Krishnamoorthy, Oreste Villa, Karol Kowalski
2010 J jnl
Comput. Phys. Commun.
Marat Valiev, Eric J. Bylaska, Niranjan Govind, Karol Kowalski, Tjerk P. Straatsma, Hubertus Johannes Jacobus Van Dam, D. Wang, Jarek Nieplocha, Edoardo Aprà, Theresa L. Windus, Wibe A. de Jong
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"