Randolph Y. Wang

26 papers A* 11A 6B 2Journal 2Unranked 5
YearRankTypeTitle / Venue / Authors
2005 J jnl
ACM Trans. Storage
Nitin Garg, Sumeet Sobti, Junwen Lai, Fengzhou Zheng, Kai Li, Randolph Y. Wang, Arvind Krishnamurthy
2005 conf
IPTPS
Chi Zhang, Arvind Krishnamurthy, Randolph Y. Wang
2005 A conf
ECIR
Yilei Shao, Randolph Y. Wang
2005 A conf
Middleware
Chi Zhang, Arvind Krishnamurthy, Randolph Y. Wang, Jaswinder Pal Singh
2004 conf
USENIX ATC, General Track
Ming Zhang, Junwen Lai, Arvind Krishnamurthy, Larry L. Peterson, Randolph Y. Wang
2004 B conf
NETWORKING
Sumeet Sobti, Junwen Lai, Yilei Shao, Nitin Garg, Chi Zhang, Ming Zhang, Fengzhou Zheng, Arvind Krishnamurthy, Randolph Y. Wang
2004 A* conf
OSDI
Ming Zhang, Chi Zhang, Vivek S. Pai, Larry L. Peterson, Randolph Y. Wang
2004 A conf
FAST
Sumeet Sobti, Nitin Garg, Fengzhou Zheng, Junwen Lai, Yilei Shao, Chi Zhang, Elisha Ziskind, Arvind Krishnamurthy, Randolph Y. Wang
2004 A* conf
SIGCOMM
Randolph Y. Wang, Sumeet Sobti, Nitin Garg, Elisha Ziskind, Junwen Lai, Arvind Krishnamurthy
2003 B conf
MASCOTS
Fengzhou Zheng, Nitin Garg, Sumeet Sobti, Chi Zhang, Russell E. Joseph, Arvind Krishnamurthy, Randolph Y. Wang
2003 A conf
FAST
John Zedlewski, Sumeet Sobti, Nitin Garg, Fengzhou Zheng, Arvind Krishnamurthy, Randolph Y. Wang
2002 A conf
FAST
Chi Zhang, Xiang Yu, Arvind Krishnamurthy, Randolph Y. Wang
2002 A conf
FAST
Sumeet Sobti, Nitin Garg, Chi Zhang, Xiang Yu, Arvind Krishnamurthy, Randolph Y. Wang
2002 A* conf
INFOCOM
Ming Zhang, Randolph Y. Wang, Larry L. Peterson, Arvind Krishnamurthy
2000 A* conf
OSDI
Xiang Yu, Benjamin Gum, Yuqun Chen, Randolph Y. Wang, Kai Li, Arvind Krishnamurthy, Thomas E. Anderson
1999 A* conf
OSDI
Randolph Y. Wang, Thomas E. Anderson, David A. Patterson
1998 A* conf
SIGMETRICS
Randolph Y. Wang, Arvind Krishnamurthy, Richard P. Martin, Thomas E. Anderson, David E. Culler
1997 conf
DSL
Satish Chandra, James R. Larus, Michael Dahlin, Brad Richards, Randolph Y. Wang, Thomas E. Anderson
1997 A* conf
SOSP
Jeanna Neefe Matthews, Drew S. Roselli, Adam M. Costello, Randolph Y. Wang, Thomas E. Anderson
1996 A* conf
ASPLOS
Arvind Krishnamurthy, Klaus E. Schauser, Chris J. Scheiman, Randolph Y. Wang, David E. Culler, Katherine A. Yelick
1996 J jnl
ACM Trans. Comput. Syst.
Thomas E. Anderson, Michael Dahlin, Jeanna M. Neefe, David A. Patterson, Drew S. Roselli, Randolph Y. Wang
1995 A* conf
SOSP
Thomas E. Anderson, Michael Dahlin, Jeanna M. Neefe, David A. Patterson, Drew S. Roselli, Randolph Y. Wang
1994 A* conf
SIGMETRICS
Michael Dahlin, Clifford Mather, Randolph Y. Wang, Thomas E. Anderson, David A. Patterson
1994 conf
ICMCS
Soumen Chakrabarti, Randolph Y. Wang
1994 A* conf
OSDI
Michael Dahlin, Randolph Y. Wang, Thomas E. Anderson, David A. Patterson
1993 conf
Workshop on Workstation Operating Systems
Randolph Y. Wang, Thomas E. Anderson
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"