Omid Fatahi Valilai

55 papers C 6Journal 28Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Comput. Ind. Eng.
Fatemeh Mahroo, Nima Moradi, Navid Aftabi, Mahmoud Houshmand, Omid Fatahi Valilai
2026 J jnl
IEEE Trans. Engineering Management
Omaymah Almashaleh, Omid Fatahi Valilai
2026 conf
ICAIIC
Omaymah Almashaleh, Bhavana Bhat, Omid Fatahi Valilai
2025 conf
IN4PL (2)
Mohammad Reza Rezaei, Sridhar Iyer, Sripathy Kathiresan Tamilselvan, Omid Fatahi Valilai
2025 conf
IN4PL (2)
Mohammad Reza Rezaei, Pranjal Nagaraj Patil, Omkar Vishwas Patil, Omid Fatahi Valilai
2024 C conf
ISM
Mohammad Yaser Mofatteh, Reyan Abbas, Nicholas Desire Seddoh, Suraj Sedhumadhavan, Mintra Thunyaluck, Omid Fatahi Valilai
2024 conf
IEEM
P. K. Kawale, Omid Fatahi Valilai
2024 C conf
ISM
Irfan Mohammed Karmali, Omid Fatahi Valilai
2024 J jnl
IEEE Access
Noushin Mohammadian, Omid Fatahi Valilai
2024 C conf
ISM
Maximilian Scholz, Omid Fatahi Valilai
2024 conf
IEEM
Mintra Thunyaluck, Omid Fatahi Valilai
2024 conf
LDIC
Mohammad Niyayesh, Omid Fatahi Valilai, Yilmaz Uygun
2024 J jnl
IEEE Access
Majid Sodachi, Amir Pirayesh, Omid Fatahi Valilai
2023 J jnl
IEEE Access
Reza Ghasemi, Peyman Akhavan, Morteza Abbasi, Omid Fatahi Valilai
2023 C conf
ISM
Amir Jahanian Najafabadi, Anastasiia Skryzhadlovska, Omid Fatahi Valilai
2023 J jnl
Int. J. Comput. Integr. Manuf.
Mohammad Reza Rezaei, Mahmoud Houshmand, Omid Fatahi Valilai
2023 J jnl
PeerJ Comput. Sci.
SeyedehTina Zaringhalam, Mohammad Khalilzadeh, Omid Fatahi Valilai
2023 conf
IntelliSys (2)
Nicklas Vorrink, Hendro Wicaksono, Omid Fatahi Valilai
2023 conf
IEEM
Ali Raza, Hendro Wicaksono, Omid Fatahi Valilai
2023 conf
IntelliSys (1)
Egor Sarafanov, Omid Fatahi Valilai, Hendro Wicaksono
2023 C conf
ISM
Noah Habtemichael, Hendro Wicaksono, Omid Fatahi Valilai
2023 C conf
ISM
Suman Thapaliya, Omid Fatahi Valilai, Hendro Wicaksono
2023 J jnl
Int. J. Comput. Integr. Manuf.
Maryam Rezapour Niari, Koroush Eshghi, Omid Fatahi Valilai
2023 conf
IEEM
Ylva Reinhold, Omid Fatahi Valilai, Hendro Wicaksono
2022 conf
IEEM
Elham M. Zafarghandi, Alireza Haji, Omid Fatahi Valilai
2022 J jnl
Int. J. Comput. Integr. Manuf.
Siavash Valizadeh, Omid Fatahi Valilai, Mahmoud Houshmand
2022 conf
SYSINT
Santhosh Ganesan, Hendro Wicaksono, Omid Fatahi Valilai
2022 conf
SYSINT
Alan Caraveo, Saikiran Krishnamoorthy, Jonah Marie Lawas, Parthasarathy Periaswamy, Majid Sodachi, Omid Fatahi Valilai
2022 conf
IEEM
Noushin Mohammadian, Nadhir Mechai, Omid Fatahi Valilai
2021 conf
IEEM
Nawadeep Adhikari, Tarique Ameer, Ganesh Kumar Dhakshinamoorthi, Santhosh Ganesan, Majid Sodahi, Omid Fatahi Valilai
2021 J jnl
CoRR
Omid Fatahi Valilai
2021 J jnl
PeerJ Comput. Sci.
Seyed-Kourosh Tabatabaei, Omid Fatahi Valilai, Ali Abedian, Mohammad Khalilzadeh
2021 J jnl
Int. J. Comput. Integr. Manuf.
Mehdi Zeynivand, Hossein Ranjbar, Seyyed-Alireza Radmanesh, Omid Fatahi Valilai
2021 J jnl
PeerJ Comput. Sci.
Mohammad Reza Rezaei, Mahmoud Houshmand, Omid Fatahi Valilai
2021 J jnl
PeerJ Comput. Sci.
Seyyed-Alireza Radmanesh, Alireza Haji, Omid Fatahi Valilai
2021 conf
IEEM
Ehsan Vaziri Goudarzi, Mahmoud Houshmand, Vahidreza Ghezavati, Shahrooz Bamdad, Omid Fatahi Valilai
2021 J jnl
PeerJ Comput. Sci.
Seyed Ali Sadeghi Aghili, Omid Fatahi Valilai, Alireza Haji, Mohammad Khalilzadeh
2021 conf
IEEM
Mohammed Tousif Hyder, Carol Lobo, Tharun Sai Madupuru, S. Sudarshan, Majid Sodahi, Omid Fatahi Valilai
2021 J jnl
PeerJ Comput. Sci.
Ehsan Vaziri Goudarzi, Mahmoud Houshmand, Omid Fatahi Valilai, Vahidreza Ghezavati, Shahrooz Bamdad
2021 conf
IEEM
Elham Ahmadi, Hendro Wicaksono, Omid Fatahi Valilai
2021 conf
IEEM
Ehsan Vaziri Goudarzi, Mahmoud Houshmand, Vahidreza Ghezavati, Shahrooz Bamdad, Omid Fatahi Valilai
2021 J jnl
Robotics Comput. Integr. Manuf.
Maryam Rezapour Niari, Kourosh Eshghi, Omid Fatahi Valilai
2020 J jnl
Int. J. Prod. Res.
Ehsan Aghamohammadzadeh, Omid Fatahi Valilai
2020 J jnl
Int. J. Prod. Res.
Ehsan Aghamohammadzadeh, Mahsa Malek, Omid Fatahi Valilai
2020 J jnl
Int. J. Prod. Res.
Shokraneh K. Moghaddam, Mahmoud Houshmand, Kazuhiro Saitou, Omid Fatahi Valilai
2020 J jnl
Int. J. Prod. Res.
Siavash Valizadeh, Omid Fatahi Valilai, Mahmoud Houshmand
2020 conf
IEEM
Ehsan Vaziri Goudarzi, Mahmoud Houshmand, Omid Fatahi Valilai, Vahidreza Ghezavati, Shahrooz Bamdad
2020 conf
IEEM
Abdiladif Ahmed Olad, Omid Fatahi Valilai
2019 J jnl
Int. J. Comput. Integr. Manuf.
Siavash Valizadeh, Omid Fatahi Valilai, Mahmoud Houshmand, Zahra Vasegh
2018 J jnl
Comput. Ind.
Jalal Delaram, Omid Fatahi Valilai
2018 J jnl
Int. J. Prod. Res.
Shokraneh K. Moghaddam, Mahmoud Houshmand, Omid Fatahi Valilai
2014 J jnl
Int. J. Comput. Integr. Manuf.
Omid Fatahi Valilai, Mahmoud Houshmand
2013 J jnl
Int. J. Comput. Integr. Manuf.
Mahmoud Houshmand, Omid Fatahi Valilai
2012 J jnl
Int. J. Comput. Integr. Manuf.
Mahmoud Houshmand, Omid Fatahi Valilai
2010 J jnl
Int. J. Comput. Integr. Manuf.
Omid Fatahi Valilai, Mahmoud Houshmand
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"