Karina Nguyen

12 papers A* 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Ben Rank, Hardik Bhatnagar, Ameya Prabhu, Shira Eisenberg, Karina Nguyen, Matthias Bethge, Maksym Andriushchenko
2024 A* conf
NeurIPS
Cem Anil, Esin Durmus, Nina Panickssery, Mrinank Sharma, Joe Benton, Sandipan Kundu, Joshua Batson, Meg Tong, Jesse Mu, Daniel Ford, Francesco Mosconi, Rajashree Agrawal, Rylan Schaeffer, Naomi Bashkansky, Samuel Svenningsen, Mike Lambert, Ansh Radhakrishnan, Carson Denison, Evan Hubinger, Yuntao Bai, Trenton Bricken, Timothy Maxwell, Nicholas Schiefer, James Sully, Alex Tamkin, Tamera Lanham, Karina Nguyen, Tomek Korbak, Jared Kaplan, Deep Ganguli, Samuel R. Bowman, Ethan Perez, Roger B. Grosse, David Kristjanson Duvenaud
2023 conf
ACL (Findings)
Ethan Perez, Sam Ringer, Kamile Lukosiute, Karina Nguyen, Edwin Chen, Scott Heiner, Craig Pettit, Catherine Olsson, Sandipan Kundu, Saurav Kadavath, Andy Jones, Anna Chen, Benjamin Mann, Brian Israel, Bryan Seethor, Cameron McKinnon, Christopher Olah, Da Yan, Daniela Amodei, Dario Amodei, Dawn Drain, Dustin Li, Eli Tran-Johnson, Guro Khundadze, Jackson Kernion, James Landis, Jamie Kerr, Jared Mueller, Jeeyoon Hyun, Joshua Landau, Kamal Ndousse, Landon Goldberg, Liane Lovitt, Martin Lucas, Michael Sellitto, Miranda Zhang, Neerav Kingsland, Nelson Elhage, Nicholas Joseph, Noemí Mercado, Nova DasSarma, Oliver Rausch, Robin Larson, Sam McCandlish, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Jack Clark, Samuel R. Bowman, Amanda Askell, Roger B. Grosse, Danny Hernandez, Deep Ganguli, Evan Hubinger, Nicholas Schiefer, Jared Kaplan
2023 J jnl
CoRR
Alex Tamkin, Amanda Askell, Liane Lovitt, Esin Durmus, Nicholas Joseph, Shauna Kravec, Karina Nguyen, Jared Kaplan, Deep Ganguli
2023 J jnl
CoRR
Wei-Yin Ko, Daniel D'souza, Karina Nguyen, Randall Balestriero, Sara Hooker
2023 J jnl
CoRR
Tamera Lanham, Anna Chen, Ansh Radhakrishnan, Benoit Steiner, Carson Denison, Danny Hernandez, Dustin Li, Esin Durmus, Evan Hubinger, Jackson Kernion, Kamile Lukosiute, Karina Nguyen, Newton Cheng, Nicholas Joseph, Nicholas Schiefer, Oliver Rausch, Robin Larson, Sam McCandlish, Sandipan Kundu, Saurav Kadavath, Shannon Yang, Thomas Henighan, Timothy Maxwell, Timothy Telleen-Lawton, Tristan Hume, Zac Hatfield-Dodds, Jared Kaplan, Jan Brauner, Samuel R. Bowman, Ethan Perez
2023 J jnl
CoRR
Ansh Radhakrishnan, Karina Nguyen, Anna Chen, Carol Chen, Carson Denison, Danny Hernandez, Esin Durmus, Evan Hubinger, Jackson Kernion, Kamile Lukosiute, Newton Cheng, Nicholas Joseph, Nicholas Schiefer, Oliver Rausch, Sam McCandlish, Sheer El Showk, Tamera Lanham, Tim Maxwell, Venkatesa Chandrasekaran, Zac Hatfield-Dodds, Jared Kaplan, Jan Brauner, Samuel R. Bowman, Ethan Perez
2023 J jnl
CoRR
Sandipan Kundu, Yuntao Bai, Saurav Kadavath, Amanda Askell, Andrew Callahan, Anna Chen, Anna Goldie, Avital Balwit, Azalia Mirhoseini, Brayden McLean, Catherine Olsson, Cassie Evraets, Eli Tran-Johnson, Esin Durmus, Ethan Perez, Jackson Kernion, Jamie Kerr, Kamal Ndousse, Karina Nguyen, Nelson Elhage, Newton Cheng, Nicholas Schiefer, Nova DasSarma, Oliver Rausch, Robin Larson, Shannon Yang, Shauna Kravec, Timothy Telleen-Lawton, Thomas I. Liao, Tom Henighan, Tristan Hume, Zac Hatfield-Dodds, Sören Mindermann, Nicholas Joseph, Sam McCandlish, Jared Kaplan
2023 J jnl
CoRR
Roger B. Grosse, Juhan Bae, Cem Anil, Nelson Elhage, Alex Tamkin, Amirhossein Tajdini, Benoit Steiner, Dustin Li, Esin Durmus, Ethan Perez, Evan Hubinger, Kamile Lukosiute, Karina Nguyen, Nicholas Joseph, Sam McCandlish, Jared Kaplan, Samuel R. Bowman
2023 J jnl
CoRR
Deep Ganguli, Amanda Askell, Nicholas Schiefer, Thomas I. Liao, Kamile Lukosiute, Anna Chen, Anna Goldie, Azalia Mirhoseini, Catherine Olsson, Danny Hernandez, Dawn Drain, Dustin Li, Eli Tran-Johnson, Ethan Perez, Jackson Kernion, Jamie Kerr, Jared Mueller, Joshua Landau, Kamal Ndousse, Karina Nguyen, Liane Lovitt, Michael Sellitto, Nelson Elhage, Noemí Mercado, Nova DasSarma, Oliver Rausch, Robert Lasenby, Robin Larson, Sam Ringer, Sandipan Kundu, Saurav Kadavath, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, Christopher Olah, Jack Clark, Samuel R. Bowman, Jared Kaplan
2023 J jnl
CoRR
Nahid Alam, Steven Kolawole, Simardeep Sethi, Nishant Bansali, Karina Nguyen
2022 J jnl
CoRR
Ethan Perez, Sam Ringer, Kamile Lukosiute, Karina Nguyen, Edwin Chen, Scott Heiner, Craig Pettit, Catherine Olsson, Sandipan Kundu, Saurav Kadavath, Andy Jones, Anna Chen, Ben Mann, Brian Israel, Bryan Seethor, Cameron McKinnon, Christopher Olah, Da Yan, Daniela Amodei, Dario Amodei, Dawn Drain, Dustin Li, Eli Tran-Johnson, Guro Khundadze, Jackson Kernion, James Landis, Jamie Kerr, Jared Mueller, Jeeyoon Hyun, Joshua Landau, Kamal Ndousse, Landon Goldberg, Liane Lovitt, Martin Lucas, Michael Sellitto, Miranda Zhang, Neerav Kingsland, Nelson Elhage, Nicholas Joseph, Noemí Mercado, Nova DasSarma, Oliver Rausch, Robin Larson, Sam McCandlish, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Jack Clark, Samuel R. Bowman, Amanda Askell, Roger B. Grosse, Danny Hernandez, Deep Ganguli, Evan Hubinger, Nicholas Schiefer, Jared Kaplan
redb/extractors/macho_extractors/macho_features.py
← Index redb/extractors/macho_extractors/macho_features.py python
import inspect
import json
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 MachO


class MachOFeaturesExtractor(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_features"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_macho_features_for_arch(self, arch_name):
        """Extract basic MachO features for a specific architecture."""
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            # Get general info using new API
            general_info = self.macho.get_general_info()
            if not general_info:
                return None

            # Get header info for this specific architecture
            header_raw = self.macho.get_macho_header(arch=arch_name)
            header_formatted = self.macho.get_macho_header(arch=arch_name, formatted=True)

            if not header_raw or not header_formatted:
                return None

            # Get entry point using new API
            entry_point = None
            try:
                entry_point_info = self.macho.get_entry_point(arch=arch_name)
                if entry_point_info:
                    if isinstance(entry_point_info, dict):
                        entry_point = entry_point_info.get('entryoff') or entry_point_info.get('entry_address')
                    else:
                        entry_point = entry_point_info
            except Exception as e:
                self.log.debug(f"No entry point found: {e}")

            # Get UUID using new API
            uuid = None
            try:
                uuid_info = self.macho.get_uuid(arch=arch_name)
                if uuid_info:
                    uuid = str(uuid_info)
            except Exception as e:
                self.log.debug(f"No UUID found: {e}")

            # Get version info using new API with formatting
            version_info = None
            version_info_str = None
            try:
                version_info = self.macho.get_version_info(arch=arch_name)
                version_info_str = self.macho.get_version_info(arch=arch_name, formatted=True)
            except Exception as e:
                self.log.debug(f"No version info found: {e}")

            # Get segments using new API
            segments = self.macho.get_segments(arch=arch_name)
            number_of_segments = len(segments) if segments else 0

            # Get dylib info using new API
            dylib_names = self.macho.get_dylib_names(arch=arch_name)
            number_of_dylibs = len(dylib_names) if dylib_names else 0

            # Count imports using new API
            imported_functions = self.macho.get_imported_functions(arch=arch_name)
            number_of_imports = sum(len(funcs) for funcs in imported_functions.values()) if imported_functions else 0

            # Count exports using new API
            exported_symbols = self.macho.get_exported_symbols(arch=arch_name)
            number_of_exports = sum(len(symbols) for symbols in exported_symbols.values()) if exported_symbols else 0

            # Get unique load command types using new API
            load_commands_set = self.macho.get_load_commands_set(arch=arch_name, formatted=True)
            if isinstance(load_commands_set, set):
                load_commands_set = sorted(list(load_commands_set))

            # Get architectures for listing purposes
            architectures = self.macho.get_architectures()

            # Determine binary properties
            is_64bit = header_raw.get('magic') in [0xFEEDFACF, 0xCFFAEDFE]  # MH_MAGIC_64, MH_CIGAM_64
            is_signed = self._is_signed()
            
            # Create MachO dataclass
            macho_features = MachO(
                # Raw values from new API
                magic=header_raw.get('magic', 0),
                cputype=header_raw.get('cputype', 0),
                cpusubtype=header_raw.get('cpusubtype', 0),
                filetype=header_raw.get('filetype', 0),
                ncmds=header_raw.get('ncmds', 0),
                sizeofcmds=header_raw.get('sizeofcmds', 0),
                flags=header_raw.get('flags', 0),
                architecture=header_raw.get('cputype', 0),  # Use cputype as architecture
                architectures=[arch_info.get('cputype', 0) for arch_info in [self.macho.get_macho_header(arch=arch) for arch in architectures] if arch_info],
                # Human-readable values from formatted API
                magic_str=header_formatted.get('magic', ''),
                cputype_str=header_formatted.get('cputype', ''),
                cpusubtype_str=header_formatted.get('cpusubtype', ''),
                filetype_str=header_formatted.get('filetype', ''),
                flags_str=header_formatted.get('flags', '').split(', ') if header_formatted.get('flags') else [],
                architecture_str=header_formatted.get('cputype', ''),
                architectures_str=[arch_info.get('cputype', '') for arch_info in [self.macho.get_macho_header(arch=arch, formatted=True) for arch in architectures] if arch_info],
                # Additional properties
                is_64bit=is_64bit,
                is_signed=is_signed,
                number_of_load_commands=header_raw.get('ncmds', 0),
                load_commands_set=load_commands_set,
                number_of_segments=number_of_segments,
                number_of_dylibs=number_of_dylibs,
                number_of_imports=number_of_imports,
                number_of_exports=number_of_exports,
                entry_point=entry_point,
                uuid=uuid,
                version_info=version_info,
                version_info_str=version_info_str
            )
            
            return macho_features
            
        except Exception as e:
            self.log.error(f"Error extracting MachO features: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            if not self.macho:
                return None
            architectures = self.macho.get_architectures()
            if not architectures:
                return None

            # For FAT binaries, return features for all architectures
            # For single arch, return just the single result
            if len(architectures) > 1:
                # FAT binary - return list of features for each architecture
                results = []
                for arch_name in architectures:
                    features = self._extract_macho_features_for_arch(arch_name)
                    if features:
                        # Add architecture identifier to the result
                        if hasattr(features, '__dict__'):
                            # If it's a dataclass, we can access its dict
                            features.arch_identifier = arch_name
                        results.append(features)
                return results
            else:
                # Single architecture - return single result
                return self._extract_macho_features_for_arch(architectures[0])
        except Exception as e:
            self.log.error(f"Error extracting MachO features: {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 __init__)
            try:
                architectures = self.macho.get_architectures()
            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:
                # Extract features for this specific architecture
                macho_features = self._extract_macho_features_for_arch(arch_name)
                if not macho_features:
                    continue

                # Get architecture-specific sha256
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)
                except Exception as e:
                    self.log.warning(f"Could not get arch-specific hash for {arch_name}: {e}")
                    arch_sha256 = self.sha256

                # Architecture field (kept in features table for ORDER BY)
                architecture = macho_features.cputype    # Raw CPU type value

                data.append([
                    arch_sha256,                          # sha256 (architecture-specific)
                    architecture,                         # architecture (raw CPU type)
                    # Raw values
                    macho_features.magic,                 # magic
                    macho_features.cputype,               # cputype
                    macho_features.cpusubtype,            # cpusubtype
                    macho_features.filetype,              # filetype
                    macho_features.ncmds,                 # ncmds
                    macho_features.sizeofcmds,            # sizeofcmds
                    macho_features.flags,                 # flags
                    # Human-readable values
                    macho_features.magic_str,             # magic_str
                    macho_features.cputype_str,           # cputype_str
                    macho_features.cpusubtype_str,        # cpusubtype_str
                    macho_features.filetype_str,          # filetype_str
                    macho_features.flags_str,             # flags_str
                    # Other fields
                    macho_features.is_64bit,              # is_64bit
                    macho_features.is_signed,             # is_signed
                    macho_features.entry_point if macho_features.entry_point else None,           # entry_point
                    macho_features.uuid if macho_features.uuid else None,  # uuid
                    json.dumps(macho_features.version_info) if macho_features.version_info else "{}",  # version_info
                    json.dumps(macho_features.version_info_str) if macho_features.version_info_str else "{}",  # version_info_str
                    macho_features.load_commands_set,     # load_commands_set
                    macho_features.number_of_segments,    # number_of_segments
                    macho_features.number_of_dylibs,      # number_of_dylibs
                    macho_features.number_of_imports,     # number_of_imports
                    macho_features.number_of_exports,     # number_of_exports
                    current_time,                         # analysis_date
                ])

            column_names = [
                'sha256', 'architecture',
                # Raw values
                'magic', 'cputype', 'cpusubtype', 'filetype', 'ncmds', 'sizeofcmds', 'flags',
                # Human-readable values
                'magic_str', 'cputype_str', 'cpusubtype_str', 'filetype_str', 'flags_str',
                # Other fields
                'is_64bit', 'is_signed',
                'entry_point', 'uuid', 'version_info', 'version_info_str', 'load_commands_set',
                'number_of_segments', 'number_of_dylibs', 'number_of_imports', 'number_of_exports',
                'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)', 'Nullable(UInt32)',
                # Raw values
                'UInt32', 'UInt32', 'UInt32', 'UInt32', 'UInt32', 'UInt32', 'UInt32',
                # Human-readable values
                'LowCardinality(String)', 'LowCardinality(String)', 'LowCardinality(String)', 'LowCardinality(String)', 'Array(LowCardinality(String))',
                # Other fields
                'UInt8', 'UInt8',
                'Nullable(UInt64)', 'Nullable(String)', 'JSON', 'JSON', 'Array(Nullable(String))',
                'UInt32', 'UInt32', 'UInt32', 'UInt32', 'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)
        
        return None

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