J. Todd Ogle

15 papers A* 1C 2Journal 5Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
Remote. Sens.
Shashank Karki, Thomas J. Pingel, Timothy D. Baird, Addison Flack, J. Todd Ogle
2023 conf
Web3D
Nazila Roofigari-Esfahan, Nicholas F. Polys, Ashley Johnson, J. Todd Ogle, Ben Sandbrook
2022 conf
VR Workshops
Nazila Roofigari-Esfahan, Curt Porterfield, J. Todd Ogle, Tanner Upthegrove, Myounghoon Jeon, Sang Won Lee
2022 J jnl
IEEE Trans. Vis. Comput. Graph.
Richard Skarbez, Joseph L. Gabbard, Doug A. Bowman, J. Todd Ogle, Thomas W. Tucker
2021 conf
ISMAR Adjunct
Nicolas Gutkowski, Paul Quigley, J. Todd Ogle, David Hicks, Jessica Taylor, Thomas W. Tucker, Doug A. Bowman
2020 conf
SIGGRAPH Immersive Pavilion
J. Todd Ogle, Zach Duer, David Hicks, Scott Fralin
2020 J jnl
IEEE Computer Graphics and Applications
Zachary Duer, J. Todd Ogle, David Hicks, Scott Fralin, Thomas W. Tucker, Run Yu
2019 J jnl
Frontiers Robotics AI
Richard Skarbez, Nicholas F. Polys, J. Todd Ogle, Chris North, Doug A. Bowman
2019 C ed.
iLRN
Dennis Beck, Anasol Peña-Ríos, J. Todd Ogle, Daphne Economou, Markos Mentzelopoulos, Leonel Morgado, Christian Eckhardt, Johanna Pirker, Roxane Koitz-Hristov, Jonathon Richter, Christian Gütl, Michael Gardner
2018 conf
ICLS
J. Todd Ogle, David Hicks, Aaron Johnson, Thomas W. Tucker
2018 A* conf
VR
Run Yu, Zachary Duer, J. Todd Ogle, Doug A. Bowman, Thomas W. Tucker, David Hicks, DongSoo Choi, Zach Bush, Huy Ngo, Phat Nguyen, Xindi Liu
2018 C ed.
iLRN
Dennis Beck, Colin Allison, Leonel Morgado, Johanna Pirker, Anasol Peña-Ríos, J. Todd Ogle, Jonathon Richter, Christian Gütl
2018 J jnl
CoRR
Richard Skarbez, Doug A. Bowman, J. Todd Ogle, Thomas W. Tucker, Joseph L. Gabbard
2015 conf
ISMAR-MASH'D
Gurjot Singh, Doug A. Bowman, David Hicks, David Cline, J. Todd Ogle, Aaron Johnson, Rosemary Zlokas, Thomas W. Tucker, Eric D. Ragan
2014 conf
ISMAR-MASH'D
Gurjot Singh, Doug A. Bowman, David Hicks, David Cline, J. Todd Ogle, Aaron Johnson, Rosemary Zlokas, Eric D. Ragan
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"