Natalie Friedman

26 papers A 5B 1Journal 11Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Natalie Friedman, Kevin Weatherwax, Chengchao Zhu
2026 J jnl
CoRR
Natalie Friedman, Adelaide Nyanyo, Kevin Weatherwax, Lifei Wang, Chengchao Zhu, Zeshu Zhu, S. Joy Mountford
2025 J jnl
CoRR
Lifei Wang, Natalie Friedman, Chengchao Zhu, Zeshu Zhu, S. Joy Mountford
2025 conf
CAI
Natalie Friedman, Marcus Krug, S. Joy Mountford
2025 conf
UMAP (Adjunct Publication)
Lifei Wang, Natalie Friedman, Chengchao Zhu, Zeshu Zhu, S. Joy Mountford
2025 J jnl
CoRR
Natalie Friedman, Alexandra Bremers, Adelaide Nyanyo, Ian Clark, Yasmine Kotturi, Laura Dabbish, Wendy Ju, Nikolas Martelaro
2025 J jnl
Proc. ACM Hum. Comput. Interact.
Natalie Friedman, Alexandra Bremers, Adelaide Nyanyo, Ian Clark, Yasmine Kotturi, Laura Dabbish, Wendy Ju, Nikolas Martelaro
2024 conf
CHI Extended Abstracts
Ray LC, J. D. Zamfirescu-Pereira, Natalie Friedman, Kexue Fu, Yanheng Li, Wendy Ju
2024 conf
CUI
Alexandra W. D. Bremers, Natalie Friedman, Sam Lee, Tong Wu, Eric Laurier, Malte F. Jung, Jorge Ortiz, Wendy Ju
2024 J jnl
Proc. ACM Hum. Comput. Interact.
Natalie Friedman, Zhi Ming Tan, Micah N. Haskins, Wendy Ju, Diane E. Bailey, Louis Longchamps
2023 J jnl
CoRR
Alexandra Bremers, Natalie Friedman, Sam Lee, Tong Wu, Eric Laurier, Malte F. Jung, Jorge Ortiz, Wendy Ju
2023 J jnl
CoRR
Natalie Friedman, Asmita Mehta, Kari Love, Alexandra Bremers, Awsaf Ahmed, Wendy Ju
2023 A conf
IROS
Alexandra Bremers, Maria Teresa Parreira, Xuanyu Fang, Natalie Friedman, Adolfo G. Ramirez-Aristizabal, Alexandria Pabst, Mirjana Spasojevic, Michael Kuniavsky, Wendy Ju
2023 J jnl
CoRR
Alexandra Bremers, Maria Teresa Parreira, Xuanyu Fang, Natalie Friedman, Adolfo G. Ramirez-Aristizabal, Alexandria Pabst, Mirjana Spasojevic, Michael Kuniavsky, Wendy Ju
2023 conf
HRI (Companion)
Natalie Friedman, Asmita Mehta, Wendy Ju
2022 J jnl
IEEE Trans. Veh. Technol.
David Goedicke, Carmel Zolkov, Natalie Friedman, Talia Wise, Avi Parush, Wendy Ju
2021 conf
HRI (Companion)
Natalie Friedman, Kari Love, Alexandra Bremers, A. J. Parry, Ray LC, Bolor Amgalan, Jen Liu, Wendy Ju
2021 conf
HRI (Companion)
J. D. Zamfirescu-Pereira, David Sirkin, David Goedicke, Ray LC, Natalie Friedman, Ilan Mandel, Nikolas Martelaro, Wendy Ju
2021 A conf
Conference on Designing Interactive Systems
Natalie Friedman, Kari Love, Ray LC, Jenny E. Sabin, Guy Hoffman, Wendy Ju
2020 conf
AutomotiveUI (adjunct)
Marcel Walch, Stacey Li, Ilan Mandel, David Goedicke, Natalie Friedman, Wendy Ju
2020 conf
ROBOVIS
Vincent Zhang, Natalie Friedman, David Goedicke, Dmitriy Rivkin, Michael Jenkin, Xue Liu, Gregory Dudek
2020 J jnl
Digit. Gov. Res. Pract.
Wendy Ju, Sharon Yavo-Ayalon, Ilan Mandel, Federico Saldarini, Natalie Friedman, Srinath Sibi, J. D. Zamfirescu-Pereira, Jorge Ortiz
2019 A conf
ASSETS
Natalie Friedman, Andrea Cuadra, Ruchi Patel, Shiri Azenkot, Joel Stein, Wendy Ju
2018 B conf
MobileHCI
Jared Duval, Zachary Rubin, Elena Márquez Segura, Natalie Friedman, Milla Zlatanov, Louise Yang, Sri Kurniawan
2018 A conf
ASSETS
Natalie Friedman, Alex Cabral
2016 A conf
ASSETS
Dustin W. Adams, Sri Kurniawan, Cynthia Herrera, Veronica Kang, Natalie Friedman
redb/extractors/macho_extractors/macho_segments.py
← Index redb/extractors/macho_extractors/macho_segments.py python
import hashlib
import inspect
import base64
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 MachOSegment


class MachOSegmentExtractor(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_segments"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _is_empty_result(self, extracted_data) -> bool:
        """
        Override: Empty segments is an ERROR, not a valid empty case.
        A valid MachO file must have segments (at minimum __PAGEZERO, __TEXT).
        """
        # Always return False - empty segments should be treated as an error
        return False

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

    def _extract_segments_for_arch(self, arch_name):
        """Extract segment information for a specific architecture."""
        self.log.debug(f"Extracting segments for architecture: {arch_name}")
        segments = []

        try:
            # Get segments using new API with architecture parameter
            segments_data = self.macho.get_segments(arch=arch_name)
            if not segments_data:
                return segments

            # Extract segments for this architecture
            for segment in segments_data:
                try:
                    segment_name = segment.get('segname', 'Unknown')

                    # Calculate segment hash
                    segment_data = self._get_segment_data(segment)
                    if segment_data:
                        seg_sha256 = hashlib.sha256(segment_data).hexdigest()
                    else:
                        seg_sha256 = ""

                    # Use entropy already calculated by machofile module, rounded to 3 decimal places
                    seg_entropy = round(segment.get('entropy', 0.0), 3)

                    # Create segment dataclass with architecture info
                    macho_segment = MachOSegment(
                        segment_name=segment_name,
                        segment_vaddr=segment.get('vaddr', 0),
                        segment_vsize=segment.get('vsize', 0),
                        segment_offset=segment.get('offset', 0),
                        segment_size=segment.get('size', 0),
                        segment_max_vm_protection=segment.get('max_vm_protection', 0),
                        segment_initial_vm_protection=segment.get('initial_vm_protection', 0),
                        segment_nsects=segment.get('nsects', 0),
                        segment_flags=segment.get('flags', 0),
                        segment_entropy=seg_entropy,
                        segment_sha256=seg_sha256,
                    )
                    # Add architecture info to the segment
                    macho_segment.architecture = arch_name
                    segments.append(macho_segment)

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

            return segments

        except Exception as e:
            self.log.error(f"Error extracting MachO segments for architecture {arch_name}: {e}")
            return segments

    def _extract_segments(self):
        """Extract segment information from all architectures in the MachO binary."""
        self.log.debug(inspect.currentframe().f_code.co_name)
        segments = []

        if not self.macho:
            return segments

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

            # Process each architecture
            for arch_name in architectures:
                arch_segments = self._extract_segments_for_arch(arch_name)
                segments.extend(arch_segments)

            return segments

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

    def _get_segment_data(self, segment):
        """Get the raw data for a segment."""
        try:
            offset = segment.get('offset', 0)
            size = segment.get('size', 0)
            
            if size == 0:
                return None
            
            # Read segment data from file
            with open(self.filepath, 'rb') as f:
                f.seek(offset)
                return f.read(size)
                
        except Exception as e:
            self.log.warning(f"Error reading segment data: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            segments = self._extract_segments()
            return segments
        except Exception as e:
            self.log.error(f"Error extracting MachO segments: {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:
                # Extract segments for this specific architecture
                segments = self._extract_segments_for_arch(arch_name)
                if not segments:
                    continue

                # Get architecture-specific sha256 and header info
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)

                    # Get raw architecture value
                    arch_header_raw = self.macho.get_macho_header(arch=arch_name)
                    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

                for segment in segments:
                    data.append([
                        arch_sha256,                          # sha256 (architecture-specific)
                        segment.segment_name,                 # segment_name
                        segment.segment_vaddr,                # segment_vaddr
                        segment.segment_vsize,                # segment_vsize
                        segment.segment_offset,               # segment_offset
                        segment.segment_size,                 # segment_size
                        segment.segment_max_vm_protection,    # segment_max_vm_protection
                        segment.segment_initial_vm_protection, # segment_initial_vm_protection
                        segment.segment_nsects,               # segment_nsects
                        segment.segment_flags,                # segment_flags
                        segment.segment_entropy,              # segment_entropy
                        segment.segment_sha256,               # segment_sha256
                        current_time,                         # analysis_date
                    ])

            column_names = [
                'sha256',
                'segment_name', 'segment_vaddr', 'segment_vsize', 'segment_offset',
                'segment_size', 'segment_max_vm_protection', 'segment_initial_vm_protection',
                'segment_nsects', 'segment_flags', 'segment_entropy', 'segment_sha256',
                'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)',
                'String', 'UInt64', 'UInt64', 'UInt64',
                'UInt64', 'UInt32', 'UInt32',
                'UInt32', 'UInt32', 'Float64', 'FixedString(64)',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

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