Malika Mahoui

33 papers A 1B 3C 5Misc 2Journal 2Unranked 20
YearRankTypeTitle / Venue / Authors
2019 conf
CCWC
Alvaro Esperanca, Zina Ben-Miled, Malika Mahoui
2018 conf
BCB
Kyle Haas, Malika Mahoui, Simone Gupta, Stuart Morton
2018 Misc conf
AMIA
Malika Mahoui, Krista Schroeder, Stuart Morton, April Naegeli, Jochen Schmitz, James Canavan
2018 conf
BCB
Kyle Haas, Malika Mahoui, Simone Gupta, Stuart Morton
2013 Misc conf
AMIA
Josette F. Jones, Crystal N. Boston-Clay, Aswani K. Kilaru, Kanitha Phalakornkule, Malika Mahoui
2013 conf
JCDL
Crystal N. Boston-Clay, Malika Mahoui, Kyle Jaebker
2013 conf
JCDL
Sally Jo Cunningham, Malika Mahoui
2013 conf
JCDL
Sharon M. Kandris, Neil Devadasan, Malika Mahoui, David J. Bodenhamer
2012 J jnl
Trans. Data Priv.
Stuart Morton, Malika Mahoui, P. Joseph Gibson, Saidaiah Yechuri
2012 conf
SHB
Stuart Morton, Malika Mahoui, P. Joseph Gibson
2012 B conf
TPDL
Malika Mahoui, Crystal N. Boston-Clay, Robert Stein, N. Tirupattur
2012 conf
IHI
Stuart Morton, Malika Mahoui, P. Joseph Gibson
2011 conf
HCI (8)
Malika Mahoui, Josette F. Jones, Andrew Meyerhoff, Syed Ahmed Toufeeq
2011 conf
HISB
F. Jeffrey Friedlin, Malika Mahoui, Josette F. Jones, Patrick Jamieson
2011 C conf
CloudCom
Jonathan Klinginsmith, Malika Mahoui, Yuqing Melanie Wu
2009 conf
ICDM Workshops
Jonathan Klinginsmith, Malika Mahoui, Yuqing Wu, Josette F. Jones
2009 conf
HCI (10)
Malika Mahoui, Josette F. Jones, Derek Zollinger, Kanitha Andersen
2008 A conf
CIKM
Malika Mahoui, William John Teahan, Arvind Kumar Thirumalaiswamy Sekhar, Satyasaibabu Chilukuri
2006 B conf
SSDBM
Malika Mahoui, Zina Ben-Miled, A. Godse, Harshad Kulkarni, Nianhua Li
2006 conf
SEDE
Malika Mahoui, Zina Ben-Miled, A. Godse, Harshad Kulkarni, Nianhua Li
2006 conf
DILS
Malika Mahoui, Zina Ben-Miled, Sriram Srinivasan, Mindi Dippold, Bing Yang, Nianhua Li
2006 C conf
BIBE
Xiang Xiao, Malika Mahoui, Zina Ben-Miled, B. Choudhury
2005 J jnl
Clust. Comput.
Malika Mahoui, Lingma Lu, Ning Gao, Nianhua Li, Jessica Chen, Omran A. Bukhres, Zina Ben-Miled
2005 C conf
BIBE
Zina Ben-Miled, Malika Mahoui, Mindi Dippold, Ali Farooq, Nianhua Li, Omran A. Bukhres
2005 conf
DILS
Malika Mahoui, Harshad Kulkarni, Nianhua Li, Zina Ben-Miled, Katy Börner
2004 C conf
BIBE
Zina Ben-Miled, Lingma Lu, Malika Mahoui, Jessica Chen, Omran A. Bukhres, Ning Gao, Yue He
2004 conf
CLADE
Zina Ben-Miled, Ning Gao, Omran A. Bukhres, Lingma Lu, Nianhua Li, Yue He, Malika Mahoui, Jessica Chen
2003 conf
FTDCS
IlYoung Chung, Bharat K. Bhargava, Malika Mahoui, Leszek Lilien
2003 C conf
DEXA
Byron Choi, Malika Mahoui, Derick Wood
2001 conf
Data Mining and Knowledge Discovery: Theory, Tools, and Technology
Michael Dewsnip, Malika Mahoui
2001 conf
ECDL
Malika Mahoui, Sally Jo Cunningham
2000 conf
ECDL
Malika Mahoui, Sally Jo Cunningham
1999 B conf
Data Compression Conference
Ian H. Witten, Zane Bray, Malika Mahoui, W. J. Teahan
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"