Vassilios Dagdilelis

30 papers B 15Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2020 J jnl
Int. J. Smart Educ. Urban Soc.
Konstantina Derveni, Vassilios Dagdilelis
2015 conf
HAICTA
Maria G. Botsiou, Vassilios Dagdilelis, Stavriani Koutsou, Vasiliki Karavakou, Vagis Samathrakis
2012 conf
WiPSCE
Vassilios Dagdilelis, Stelios Xinogalos
2009 conf
WSKS (2)
Ioannis Papadopoulos, Vassilios Dagdilelis
2008 B conf
ICALT
Stelios Xinogalos, Maya Satratzemi, Vassilios Dagdilelis
2007 B conf
ICALT
Stelios Xinogalos, Maya Satratzemi, Vassilios Dagdilelis
2007 B conf
ITiCSE
Stelios Xinogalos, Maya Satratzemi, Vassilios Dagdilelis
2006 J jnl
Comput. Educ.
Stelios Xinogalos, Maya Satratzemi, Vassilios Dagdilelis
2006 B conf
ICALT
Stelios Xinogalos, Maya Satratzemi, Vassilios Dagdilelis, Georgios Evangelidis
2005 B conf
ICALT
Vassilios Dagdilelis, Maya Satratzemi, Katerina Kagani
2005 conf
CELDA
Spyropoulos Charalampos, Vassilios Dagdilelis, Georgios Evangelidis
2005 conf
Panhellenic Conference on Informatics
Maya Satratzemi, Vassilios Dagdilelis, Katerina Kagani
2005 B conf
ICALT
Vassilios Efopoulos, Georgios Evangelidis, Vassilios Dagdilelis
2005 B conf
ITiCSE
Vassilios Efopoulos, Vassilios Dagdilelis, Georgios Evangelidis, Maya Satratzemi
2004 J jnl
Educ. Inf. Technol.
Vassilios Dagdilelis, Maya Satratzemi, Georgios Evangelidis
2003 B conf
ICALT
Maya Satratzemi, Stelios Xinogalos, Vassilios Dagdilelis
2003 J jnl
Comput. Educ.
Vassilios Dagdilelis, Georgios Evangelidis, Maya Satratzemi, Vassilios Efopoulos, Charalabos Zagouras
2003 J jnl
J. Educ. Technol. Soc.
Vassilios Dagdilelis, Maya Satratzemi, Georgios Evangelidis
2003 B ed.
ITiCSE
Vassilios Dagdilelis, Maya Satratzemi, David Finkel, Roger D. Boyle, Georgios Evangelidis
2003 B conf
ICALT
Vassilios Efopoulos, Georgios Evangelidis, Vassilios Dagdilelis, Theodore Kaskalis
2002 B conf
ITiCSE
Vassilios Dagdilelis, Maya Satratzemi, Georgios Evangelidis
2001 B conf
ITiCSE
Maria Satratzemi, Vassilios Dagdilelis, Georgios Evangelidis
2001 conf
HERCMA
Theodore Kaskalis, Vassilios Dagdilelis, Georgios Evangelidis, Konstantinos G. Margaritis
2001 J jnl
Educ. Inf. Technol.
Vassilios Dagdilelis, Maya Satratzemi
2001 conf
HERCMA
Theodore Kaskalis, Vassilios Dagdilelis, Georgios Evangelidis, Konstantinos G. Margaritis
2001 B conf
ICALT
Georgios Evangelidis, Vassilios Dagdilelis, Maria Satratzemi, Vassilios Efopoulos
1999 B conf
ITiCSE
Vassilios Dagdilelis, Maria Satratzemi
1998 B conf
ITiCSE
Vassilios Dagdilelis, Maria Satratzemi
1997 conf
ITiCSE-WGR
Vassilios Dagdilelis, Maria Satratzemi
1996
Vassilios Dagdilelis
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"