M. Lavanya

19 papers C 1Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Int. J. Comput. Intell. Syst.
M. Lavanya, Jasem M. Alostad, C. Gunasundari, V. Thiruppathy Kesavan
2025 conf
PReMI (2)
Parth Bhatnagar, Manjit Sodhi, H. L. Gururaj, M. Lavanya, Bhargav P. Raj
2024 J jnl
Wirel. Pers. Commun.
M. Lavanya, S. Sasikumar, R. Shivakumar
2024 J jnl
Multim. Tools Appl.
M. Lavanya, K. Joseph Abraham Sundar, S. Saravanan
2023 conf
IconDeepCom (1)
T. P. Rani, S. Susila Sakthy, P. Kalaichelvi, M. Lavanya, G. Karthiga
2023 J jnl
SN Comput. Sci.
Ranjeet Yadav, Y. Mohana Roopa, M. Lavanya, Janjhyam Venkata Naga Ramesh, N. Thulasi Chitra, Gadde Raghu Babu
2022 J jnl
Int. J. Syst. Assur. Eng. Manag.
M. Saritha, M. Lavanya, G. Ajitha, Mulinti Narendra Reddy, P. Annapurna, Menda Sreevani, S. Swathi, S. Sushma, Vallabhuni Vijay
2022 J jnl
Int. J. Syst. Assur. Eng. Manag.
Kancharapu Chaitanya, Mohammad Khadir, S. Sushma, Lavanya Nalla, G. Naveen, Nandi Manjula, M. Saritha, M. Lavanya, Mulinti Narendra Reddy, Vallabhuni Vijay
2022 J jnl
Appl. Math. Comput.
B. Sundara Vadivoo, G. Jothilakshmi, Yahya Almalki, Amar Debbouche, M. Lavanya
2022 J jnl
Wirel. Pers. Commun.
M. Lavanya, V. Kavitha
2021 J jnl
J. Ambient Intell. Humaniz. Comput.
M. Lavanya, V. Kavitha
2021 J jnl
Int. J. Syst. Assur. Eng. Manag.
Vallabhuni Vijay, C. V. Sai Kumar Reddy, Chandra Shaker Pittala, Rajeev Ratna Vallabhuni, M. Saritha, M. Lavanya, S. China Venkateswarlu, Menda Sreevani
2020 J jnl
Comput. Commun.
M. Lavanya, B. Shanthi, S. Saravanan
2018 conf
ICM
M. Lavanya, J. V. R. Ravindra
2017 J jnl
Comput. Electr. Eng.
M. Lavanya, V. Natarajan
2016 conf
ICACCI
Anushka Gupta, Shailesh Tanwar, Vishvander Singh, M. Lavanya, V. K. Mittal
2016 conf
IOT
M. Lavanya, V. Natarajan
2012 C conf
ISDA
M. Lavanya, R. Revathi, J. Sevugan Rajesh, S. I. Manjur Basha
2012 conf
VSS
M. Lavanya, R. M. Brisilla, V. Sankaranarayanan
redb/extractors/macho_extractor.py
← Index redb/extractors/macho_extractor.py python
import logging
from abc import ABCMeta, abstractmethod
import inspect
import sys
import os

import machofile

from redb.extractors.extractor import Extractor

logger = logging.getLogger(__name__)


@abstractmethod
class MachOExtractor(Extractor, metaclass=ABCMeta):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        macho=None,
    ):
        # Read binary and parse machofile BEFORE calling super().__init__
        # This avoids reading the file twice
        with open(filepath, "rb") as f:
            binary_data = f.read()

        # Parse machofile with binary data
        self.macho = macho if macho else self._generate_machofile_object(binary_data)

        # Extract hashes from machofile to pass to parent
        precomputed_hashes = None
        if self.macho:
            try:
                general_info = self.macho.get_general_info()
                if general_info:
                    # For FAT binaries, get_general_info() returns dict with 'fat' key
                    # For single-arch, it returns the info directly
                    if 'fat' in general_info:
                        fat_info = general_info['fat']
                        precomputed_hashes = {
                            'MD5': fat_info.get('MD5'),
                            'SHA1': fat_info.get('SHA1'),
                            'SHA256': fat_info.get('SHA256'),
                        }
                    else:
                        precomputed_hashes = {
                            'MD5': general_info.get('MD5'),
                            'SHA1': general_info.get('SHA1'),
                            'SHA256': general_info.get('SHA256'),
                        }
            except Exception as e:
                logger.debug(f"Could not get hashes from machofile: {e}")

        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            precomputed_hashes=precomputed_hashes,
        )

        # Store binary data so base class doesn't re-read
        self._binary_data = binary_data

    @property
    def binary(self):
        """Override to use already-read binary data."""
        return self._binary_data

    def _generate_machofile_object(self, binary_data):
        """Generate and parse a machofile object from binary data."""
        macho = None
        try:
            macho = machofile.UniversalMachO(data=binary_data)
            if not macho:
                raise Exception("Empty file?")

            # Parse the MachO object once during initialization
            macho.parse()

        except Exception as e:
            logger.error(f"Format error parsing MachO: {e}")
        return macho

    # def _is_macho_file(self):
    #     """Check if the file is a valid Mach-O binary."""
    #     try:
    #         if not self.macho:
    #             return False
            
    #         # For Universal/FAT binaries, check if any architecture is valid
    #         if hasattr(self.macho, 'is_fat') and self.macho.is_fat:
    #             return len(self.macho.architectures) > 0
    #         else:
    #             # Single architecture binary
    #             return hasattr(self.macho, 'macho') and self.macho.macho is not None
    #     except Exception as e:
    #         self.log.error(f"Error checking Mach-O file: {e}")
    #         return False

    def _is_signed(self):
        """Check if the Mach-O binary is code signed using new API."""
        try:
            if not self.macho:
                return False

            # Get architectures using new API
            architectures = self.macho.get_architectures()

            # For each architecture, check if signed
            for arch in architectures:
                try:
                    signature_info = self.macho.get_code_signature_info(arch=arch)
                    if signature_info and signature_info.get('signed', False):
                        return True
                except Exception:
                    continue

            return False
        except Exception as e:
            self.log.error(f"Error checking Mach-O signature: {e}")
            return False

    def _get_architectures(self):
        """Get list of architectures in the Mach-O binary using new API."""
        try:
            if not self.macho:
                return []

            # Use new API method
            architectures = self.macho.get_architectures()
            return architectures if architectures else []
        except Exception as e:
            self.log.error(f"Error getting architectures: {e}")
            return []

    # def _get_macho_for_arch(self, arch_name=None):
    #     """Get MachO instance for specific architecture or default."""
    #     try:
    #         if not self.macho:
    #             return None
            
    #         if hasattr(self.macho, 'is_fat') and self.macho.is_fat:
    #             if arch_name:
    #                 return self.macho.architectures.get(arch_name)
    #             else:
    #                 # Return first available architecture
    #                 return next(iter(self.macho.architectures.values())) if self.macho.architectures else None
    #         else:
    #             # Single architecture binary
    #             return self.macho.macho if hasattr(self.macho, 'macho') else None
    #     except Exception as e:
    #         self.log.error(f"Error getting MachO for architecture: {e}")
    #         return None

    # def _get_formatted_header_values(self, header):
    #     """Get both raw and human-readable header values."""
    #     try:
    #         macho_instance = self._get_macho_for_arch()
    #         if not macho_instance:
    #             return None
            
    #         # Parse the MachO if not already parsed
    #         if not hasattr(macho_instance, 'header') or not macho_instance.header:
    #             macho_instance.parse()
            
    #         # Get human-readable values using machofile's formatting methods
    #         magic_str = macho_instance.format_magic_value(header.get('magic', 0))
            
    #         # Simple CPU type mapping since CPU_TYPE_MAP is not exposed
    #         cputype = header.get('cputype', 0)
    #         if cputype == 0x7:
    #             cputype_str = "x86"
    #         elif cputype == 0x1000007:
    #             cputype_str = "x86_64"
    #         elif cputype == 0xC:
    #             cputype_str = "ARM"
    #         elif cputype == 0x100000C:
    #             cputype_str = "ARM 64-bit"
    #         else:
    #             cputype_str = str(cputype)
            
    #         cpusubtype_str = macho_instance.decode_cpusubtype(header.get('cputype', 0), header.get('cpusubtype', 0))
    #         filetype_str = macho_instance.format_file_type(header.get('filetype', 0))
    #         flags_str = macho_instance.decode_flags(header.get('flags', 0))
            
    #         return {
    #             'raw': {
    #                 'magic': header.get('magic', 0),
    #                 'cputype': header.get('cputype', 0),
    #                 'cpusubtype': header.get('cpusubtype', 0),
    #                 'filetype': header.get('filetype', 0),
    #                 'flags': header.get('flags', 0),
    #             },
    #             'formatted': {
    #                 'magic_str': magic_str,
    #                 'cputype_str': cputype_str,
    #                 'cpusubtype_str': cpusubtype_str,
    #                 'filetype_str': filetype_str,
    #                 'flags_str': flags_str,
    #             }
    #         }
    #     except Exception as e:
    #         self.log.error(f"Error formatting header values: {e}")
    #         return None