Rakesh Babu

26 papers A 1C 1Journal 16Unranked 8
YearRankTypeTitle / Venue / Authors
2023 J jnl
Inf. Res.
Iris Xie, Tae Hee Lee, Hyun Seung Lee, Shengang Wang, Rakesh Babu
2022 J jnl
Electron. Libr.
Iris Xie, Rakesh Babu, Shengang Wang, Hyun Seung Lee, Tae Hee Lee
2021 J jnl
Inf. Process. Manag.
Iris Xie, Rakesh Babu, Tae Hee Lee, Shengang Wang, Hyun Seung Lee
2021 conf
iConference (2)
Iris Xie, Rakesh Babu, Shengang Wang, Tae Hee Lee, Hyun Seung Lee
2021 J jnl
J. Assoc. Inf. Sci. Technol.
Iris Xie, Rakesh Babu, Hyun Seung Lee, Shengang Wang, Tae Hee Lee
2021 J jnl
First Monday
Rahul Barpanda, Jared Reyes, Rakesh Babu
2020 J jnl
Inf. Process. Manag.
Iris Xie, Rakesh Babu, Tae Hee Lee, Melissa Davey Castillo, Sukjin You, Ann M. Hanlon
2020 conf
JCDL
Iris Xie, Rakesh Babu, Tae Hee Lee, Shengang Wang, Hyun Seung Lee
2019 conf
W4A
Naveen M. Ravindran, Seyed Ali Cheraghi, Vinod Namboodiri, Rakesh Babu
2018 A conf
ASSETS
Iris Xie, Rakesh Babu, Melissa Davey Castillo, Tae Hee Lee, Sukjin You
2018 J jnl
J. Assoc. Inf. Sci. Technol.
Iris Xie, Rakesh Babu, Melissa Davey Castillo, Hye Jung Han
2017 conf
ASIST
Devendra Potnis, Denice C. Adkins, Nicole A. Cooke, Rakesh Babu
2017 J jnl
Electron. Libr.
Rakesh Babu, Iris Xie
2017 J jnl
J. Inf. Commun. Ethics Soc.
Rakesh Babu, Donald Heath
2017 J jnl
Inf. Organ.
Donald Heath, Rakesh Babu
2015 J jnl
Int. J. Online Pedagog. Course Des.
Rakesh Babu
2015 C conf
ICIS
Donald Heath, Rakesh Babu, Rahul Singh, Shrirang P. Sahasrabudhe
2015 J jnl
First Monday
Rakesh Babu, Paige Fuller
2015 J jnl
Inf. Res.
Iris Xie, Rakesh Babu, Soohyung Joo, Paige Fuller
2013 conf
AMCIS
Rakesh Babu, Rahul Singh
2013 J jnl
J. Inf. Technol. Educ. Res.
Rakesh Babu, Rahul Singh
2013 J jnl
First Monday
Rakesh Babu
2011 conf
WWW (Companion Volume)
Joyojeet Pal, Manas Pradhan, Mihir Shah, Rakesh Babu
2009 conf
AMCIS
Rakesh Babu, Rahul Singh
2009 conf
AMCIS
Rakesh Babu, Rahul Singh
2007 J jnl
Int. J. Web Based Learn. Teach. Technol.
Rakesh Babu, Vishal Midha
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"