Vincent Omollo Nyangaresi

55 papers B 2C 3Journal 37Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Dependable Secur. Comput.
Mustafa A. Al Sibahee, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Jianqiang Li, Chengwen Luo, Alladoumbaye Ngueilbaye, Junchao Ma, Yijing Huang, Jin Zhang, Husam A. Neamah
2026 J jnl
Comput. Networks
Vincent Omollo Nyangaresi, Mohd Shariq, Daisy Nyang'anyi Ondwari, Muhammad Shafiq, Khalid Alsubhi, Mehedi Masud
2026 J jnl
J. Parallel Distributed Comput.
Sunday Oyinlola Ogundoyin, Ismaila Adeniyi Kamil, Isaac Adewale Ojedokun, John Oluwaseun Babalola, Vincent Omollo Nyangaresi
2025 B conf
TrustCom
Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Mustafa A. Al Sibahee, Junchao Ma, Zaid Alaa Hussien, Ali Hasan Ali, Husam A. Neamah, Ahmed Ali Ahmed
2025 J jnl
Array
Keyan Abdul-Aziz Mutlaq, Mushtaq A. Hasson, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Mustafa A. Al Sibahee, Junchao Ma, Samir M. Umran, Ali Hasan Ali, Abdulla J. Y. Aldarwish, Husam A. Neamah
2025 J jnl
IEEE Internet Things J.
Vincent Omollo Nyangaresi, Musheer Ahmad, Louai Maghrabi, Turki A. Althaqafi
2025 J jnl
IET Image Process.
Thomas Kinyanjui Njoroge, Edwin Juma Omol, Vincent Omollo Nyangaresi
2025 J jnl
J. Commun.
Maithem Mohammed Ali Abdullah, Hamid Ali Abed Al-Asadi, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi
2025 B conf
IJCNN
Peiyang Chen, Junchao Ma, Mustafa A. Al Sabhae, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi
2025 J jnl
Comput. Mater. Continua
Sanjay P. Pande, Sarika Khandelwal, Ganesh Yenurkar, Rakhi D. Wajgi, Vincent Omollo Nyangaresi, Pratik Ramesh Hajare, Poonam T. Agarkar
2025 J jnl
Cryptogr.
Thekaa Ali Kadhim, Zaid Ameen Abduljabbar, Hamid Ali Abed Al-Asadi, Vincent Omollo Nyangaresi, Zahraa Abdullah Ali, Iman Qays Abduljaleel
2025 J jnl
Comput. Mater. Continua
Smita Kapse, Ganesh Yenurkar, Vincent Omollo Nyangaresi, Gunjan Balpande, Shravani Kale, Manthan Jadhav, Sahil Lawankar, Vikrant Jaunjale
2025 J jnl
Comput. Mater. Continua
Enas Wahab Abood, Ali A. Yassin, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Iman Qays Abduljaleel, Abdulla J. Y. Aldarwish, Husam A. Neamah
2024 J jnl
Cryptogr.
Zahraa Abdullah Ali, Zaid Ameen Abduljabbar, Hamid Ali Abed Al-Asadi, Vincent Omollo Nyangaresi, Iman Qays Abduljaleel, Abdulla J. Y. Aldarwish
2024 J jnl
IEEE Access
Xuehui Xu, R. S. M. Lakshmi Patibandla, Amit Arora, Muna S. Al-Razgan, Emad Mahrous Awwad, Vincent Omollo Nyangaresi
2024 J jnl
IEEE Access
Ahmad Yahiya Ahmad Bani Ahmad, Neha Verma, Nadia Mohamed Sarhan, Emad Mahrous Awwad, Amit Arora, Vincent Omollo Nyangaresi
2024 J jnl
High Confid. Comput.
Vincent Omollo Nyangaresi, Ganesh Yenurkar
2024 J jnl
IEEE Internet Things J.
Mustafa A. Al Sibahee, Zaid Ameen Abduljabbar, Alladoumbaye Ngueilbaye, Chengwen Luo, Jianqiang Li, Yijing Huang, Jin Zhang, Naveed Khan, Vincent Omollo Nyangaresi, Ali Hasan Ali
2024 C conf
CoDIT
Zahraa Sh. Alzaidi, Ali A. Yassin, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi
2024 J jnl
Comput. Mater. Continua
Ahmad Yahiya Ahmad Bani Ahmad, Jafar Alzubi, Sophers James, Vincent Omollo Nyangaresi, Chanthirasekaran Kutralakani, Anguraju Krishnan
2024 J jnl
J. Sens. Actuator Networks
Salim Sabah Bulbul, Zaid Ameen Abduljabbar, Duaa Fadhel Najem, Vincent Omollo Nyangaresi, Junchao Ma, Abdulla J. Y. Aldarwish
2024 C conf
CoDIT
Muwafaq Jawad, Ali A. Yassin, Hamid Ali Abed Al-Asadi, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi
2024 J jnl
Comput. Mater. Continua
Vincent Omollo Nyangaresi, Arkan A. Ghaib, Hend Muslim Jasim, Zaid Ameen Abduljabbar, Junchao Ma, Mustafa A. Al Sibahee, Abdulla J. Y. Aldarwish, Ali Hasan Ali, Husam A. Neamah
2024 conf
ICAIIC
Ali Hasan Ali, Hend Muslim Jasim, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Samir M. Umran, Junchao Ma, Dhafer G. Honi
2024 conf
ICAIIC
Batool Mohammed Radhi, Mohammed Abdulridha Hussain, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi
2024 J jnl
IEEE Access
Sathish Kumar, Chinthaginjala Venkata Ravikumar, Rajesh Anbazhagan, Vincent Omollo Nyangaresi, Giovanni Pau, P. Srinivasa Varma
2024 J jnl
IEEE Access
Vincent Omollo Nyangaresi, Eesa Alsolami, Musheer Ahmad
2024 J jnl
IEEE Internet Things J.
Mustafa A. Al Sibahee, Vincent Omollo Nyangaresi, Zaid Ameen Abduljabbar, Chengwen Luo, Jin Zhang, Junchao Ma
2023 C conf
CGI
Haitang Zhang, Junchao Ma, Zixia Qiu, Junmei Yao, Mustafa A. Al Sibahee, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi
2023 J jnl
Internet Things
Samir M. Umran, Songfeng Lu, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi
2023 J jnl
Ad Hoc Networks
Vincent Omollo Nyangaresi
2023 J jnl
High Confid. Comput.
Vincent Omollo Nyangaresi
2023 J jnl
Informatica (Slovenia)
Wafaa Al-Chaab, Zaid Ameen Abduljabbar, Enas Wahab Abood, Vincent Omollo Nyangaresi, Hussein M. Mohammed, Junchao Ma
2022 J jnl
SN Comput. Sci.
Vincent Omollo Nyangaresi
2022 J jnl
J. Sens. Actuator Networks
Iman Qays Abduljaleel, Zaid Ameen Abduljabbar, Mustafa A. Al Sibahee, Mudhafar Jalil Jassim Ghrabat, Junchao Ma, Vincent Omollo Nyangaresi
2022 J jnl
Expert Syst. J. Knowl. Eng.
Vincent Omollo Nyangaresi, Musheer Ahmad, Ahmed Alkhayyat, Wei Feng
2022 J jnl
Comput. Secur.
Vincent Omollo Nyangaresi, Anthony Joachim Rodrigues
2022 J jnl
J. Syst. Archit.
Vincent Omollo Nyangaresi
2022 conf
FABULOUS
Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Junchao Ma, Mustafa A. Al Sibahee, Mustafa S. Khalefa, Dhafer G. Honi
2022 J jnl
Int. J. Wirel. Inf. Networks
Vincent Omollo Nyangaresi, Anthony Joachim Rodrigues, Silvance O. Abeka
2022 J jnl
IEEE Access
Zaid Ameen Abduljabbar, Iman Qays Abduljaleel, Junchao Ma, Mustafa A. Al Sibahee, Vincent Omollo Nyangaresi, Dhafer G. Honi, Ayad I. Abdulsada, Xianlong Jiao
2022 J jnl
Int. J. Interdiscip. Telecommun. Netw.
Vincent Omollo Nyangaresi, Anthony Joachim Rodrigues, Ahmad A. Al Rababah
2022 J jnl
J. Sens. Actuator Networks
Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Mustafa A. Al Sibahee, Mudhafar Jalil Jassim Ghrabat, Junchao Ma, Iman Qays Abduljaleel, Abdulla J. Y. Aldarwish
2022 J jnl
Array
Vincent Omollo Nyangaresi
2022 conf
IoECon
Vincent Omollo Nyangaresi, Zaid Ameen Abduljabbar, Ismail Yaqub Maolood, Mustafa A. Al Sibahee, Junchao Ma, Abdulla J. Y. Aldarwish
2022 J jnl
Trans. Emerg. Telecommun. Technol.
Vincent Omollo Nyangaresi, Mohammed Abd-Elnaby, Mahmoud M. A. Eid, Ahmed Nabih Zaki Rashed
2021 conf
CrownCom/WiCON
Vincent Omollo Nyangaresi, Zaid Ameen Abduljabbar, Salah H. Abbdal Refish, Mustafa A. Al Sibahee, Enas Wahab Abood, Songfeng Lu
2021 conf
ADHOCNETS/TRIDENTCOM
Vincent Omollo Nyangaresi, Zaid Ameen Abduljabbar, Mustafa A. Al Sibahee, Enas Wahab Abood, Iman Qays Abduljaleel
2021 conf
AFRICON
Vincent Omollo Nyangaresi
2021 conf
FABULOUS
Vincent Omollo Nyangaresi, Anthony Joachim Rodrigues, Nidhal Kamel Taha
2021 conf
ICIT
Zeyad Mohammad, Vincent Omollo Nyangaresi, Ahmad Abusukhon
2021 conf
RTSI
Vincent Omollo Nyangaresi, Anselme Russel Affane Moundounga
2021 conf
IoTaaS
Mustafa A. Al Sibahee, Vincent Omollo Nyangaresi, Junchao Ma, Zaid Ameen Abduljabbar
2021 conf
RTSI
Vincent Omollo Nyangaresi, Mohammed A. Morsy
2020 conf
AFRICOMM
Vincent Omollo Nyangaresi, Anthony Joachim Rodrigues, Silvance O. Abeka
redb/extractors/hashes.py
← Index redb/extractors/hashes.py python
from dataclasses import asdict
from typing import Any
from datetime import datetime, timezone

import hashlib
import inspect
from struct import pack

from magika import Magika
from signify.fingerprinter import AuthenticodeFingerprinter
import ppdeep
import tlsh

import pefile
from elftools.elf.elffile import ELFFile
from elftools.common.exceptions import ELFError

from redb.extractors.enum import Tag
from redb.models.dataclasses import Hashes
from redb.extractors.extractor import Extractor


class HashExtractor(Extractor):

    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
        )
        self.hashes = None
        self.elastic_index = self.index_prefix + "-hashes"
        self.filetype = Magika().identify_bytes(self.binary).output.label
        self.pe = None
        self.elf = None
        self.macho = macho
        if self.filetype == "pebin":  # else None
            try:
                self.pe = pefile.PE(self.filepath)
            except Exception as e:
                self.log.error(f"Failed to initialize PE file object: {e}")
                self.pe = None
        elif self.filetype == "elf":
            # ELF file will be created when needed in _extract_elf_hashes
            pass

    def _extract_hashes(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        
        # Initialize hash values with None
        md5 = None
        sha1 = None
        sha256 = None
        ssdeep_hash = None
        tlsh_hash = None
        
        # Calculate basic hashes with error handling
        try:
            md5 = hashlib.md5(self.binary).hexdigest()
        except Exception as e:
            self.log.error(f"Failed to calculate MD5 hash: {e}")
            
        try:
            sha1 = hashlib.sha1(self.binary).hexdigest()
        except Exception as e:
            self.log.error(f"Failed to calculate SHA1 hash: {e}")
            
        try:
            sha256 = hashlib.sha256(self.binary).hexdigest()
        except Exception as e:
            self.log.error(f"Failed to calculate SHA256 hash: {e}")
            
        try:
            ssdeep_hash = ppdeep.hash_from_file(self.filepath)
        except Exception as e:
            self.log.error(f"Failed to calculate ssdeep hash: {e}")
            
        try:
            tlsh_hash = tlsh.hash(self.binary)
        except Exception as e:
            self.log.error(f"Failed to calculate TLSH hash: {e}")
        
        # Create Hashes object with available values
        self.hashes = Hashes(
            md5 or "",
            sha1 or "",
            sha256 or "",
            ssdeep_hash or "",
            tlsh_hash or "",
        )

        if self.filetype == "pebin" and self.pe is not None:
            self.log.debug("Computing PEBIN related hash values")
            
            # Authentihash
            try:
                with open(self.filepath, 'rb') as f:
                    fingerprinter = AuthenticodeFingerprinter(f)
                    fingerprinter.add_authenticode_hashers(hashlib.sha256)
                    self.hashes.authentihash = fingerprinter.hash()['sha256'].hex()
            except Exception as e:
                self.log.error(f"Failed to calculate Authentihash: {e}")
                self.hashes.authentihash = None
                
            # Imphash
            try:
                self.hashes.imphash = self.pe.get_imphash()
            except Exception as e:
                self.log.error(f"Failed to calculate Imphash: {e}")
                self.hashes.imphash = None
                
            # Rich header hashes
            try:
                if self.pe.parse_rich_header():
                    self.log.debug("Computing RichHeader related hash values")
                    
                    richhash = self._compute_richhash()
                    if richhash:
                        self.hashes.richhash = richhash
                        
                    richpe_hash = self._compute_richpe_hash()
                    if richpe_hash:
                        self.hashes.richpe_hash = richpe_hash
                        
                    richpv_result = self._compute_richpv_hash()
                    if richpv_result:
                        self.hashes.richpv_hash, self.hashes.richpv_hash_sorted = richpv_result
            except Exception as e:
                self.log.error(f"Failed to calculate Rich header hashes: {e}")
        elif self.filetype == "pebin" and self.pe is None:
            self.log.warning("PE file type detected but PE object initialization failed - skipping PE-specific hashes")

        elif self.filetype == "elf":
            self.log.debug("Computing ELF related hash values")
            self._extract_elf_hashes()
        elif self.filetype == "macho":
            self.log.debug("Computing Mach-O related hash values")
            self._extract_macho_hashes()
        elif self.filetype == "apk":
            self.log.debug("Computing APK related hash values")
            self._extract_apk_hashes()
        else:
            pass
        self.log.debug(f"Hashes dump: {asdict(self.hashes)}")
        return self.hashes

    def _compute_richhash(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            rich_header = self.pe.parse_rich_header()
            if not rich_header:
                return ""
            data = rich_header["clear_data"]
            return hashlib.md5(data).hexdigest().lower()
        except:
            return ""

    def _compute_richpe_hash(self):
        """
        Computes the RichPE hash given a file path or PE object.

        RichPE hash is includes RichHeader CompID and count, as well as
        fields from IMAGE_FILE_HEADER and IMAGE_OPTIONAL_HEADER

        Parameters:
        input: it can be either a file path or a PE object

        Returns:
        richpe_hash: md5 hash of the RichPE value
        None: if no Rich Header present
        """
        try:
            # Attempt to parse Rich header
            self.log.debug(inspect.currentframe().f_code.co_name)
            rich_header = self.pe.parse_rich_header()
            if rich_header is None:
                return None

            # Get list of @Comp.IDs and counts from Rich header
            # Elements in rich_fields at even indices are @Comp.IDs
            # Elements in rich_fields at odd indices are counts
            rich_fields = rich_header.get("values", None)
            if not rich_fields or len(rich_fields) % 2 != 0:
                return None

            md5 = hashlib.md5()

            # Update hash using @Comp.IDs and masked counts from Rich header
            while len(rich_fields):
                compid = rich_fields.pop(0)
                count = rich_fields.pop(0)
                mask = 2 ** (count.bit_length() // 2 + 1) - 1
                count |= mask
                md5.update(pack("<L", compid))
                md5.update(pack("<L", count))

            # Update hash using metadata from the PE header
            md5.update(pack("<L", self.pe.FILE_HEADER.Machine))
            md5.update(pack("<L", self.pe.FILE_HEADER.Characteristics))
            md5.update(pack("<L", self.pe.OPTIONAL_HEADER.Subsystem))
            md5.update(pack("<B", self.pe.OPTIONAL_HEADER.MajorLinkerVersion))
            md5.update(pack("<B", self.pe.OPTIONAL_HEADER.MinorLinkerVersion))
            md5.update(pack("<L", self.pe.OPTIONAL_HEADER.MajorOperatingSystemVersion))
            md5.update(pack("<L", self.pe.OPTIONAL_HEADER.MinorOperatingSystemVersion))
            md5.update(pack("<L", self.pe.OPTIONAL_HEADER.MajorImageVersion))
            md5.update(pack("<L", self.pe.OPTIONAL_HEADER.MinorImageVersion))
            md5.update(pack("<L", self.pe.OPTIONAL_HEADER.MajorSubsystemVersion))
            md5.update(pack("<L", self.pe.OPTIONAL_HEADER.MinorSubsystemVersion))

            return md5.hexdigest()
        except Exception as e:
            self.log.error(f"Failed to compute RichPE hash: {e}")
            return None

    def _compute_richpv_hash(self):
        """
        Compute the RichPV hash values, sorted and unsorted.
        RichPV excludes the most volatile Rich Header field from the MD5 input data,
        the Product Count (pC) field.

        Returns:
        richpv_hash_unsorted: md5 hash of the RichPV value unsorted
        richpv_hash_sorted: md5 hash of the RichPV value sorted
        None: if no Rich Header present
        """
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)
            # Attempt to parse Rich header
            rich_header = self.pe.parse_rich_header()
            if rich_header is None:
                return None

            # Get list of @Comp.IDs and counts from Rich header
            # Elements in rich_fields at even indices are @Comp.IDs
            # Elements in rich_fields at odd indices are counts
            rich_fields = rich_header.get("values", None)
            if not rich_fields or len(rich_fields) % 2 != 0:
                return None

            md5 = hashlib.md5()
            md5_sorted = hashlib.md5()
            sorted_vector = []

            # Update hash using @Comp.IDs only
            for i in range(0, len(rich_fields), 2):
                compid = rich_fields[i]
                md5.update(pack("<L", compid))
                sorted_vector.append(compid)

            sorted_vector.sort()
            for compid in sorted_vector:
                md5_sorted.update(pack("<L", compid))

            return md5.hexdigest(), md5_sorted.hexdigest()
        except Exception as e:
            self.log.error(f"Failed to compute RichPV hash: {e}")
            return None

    def _extract_elf_hashes(self):
        """Extract ELF specific similarity hashes."""
        self.log.debug(inspect.currentframe().f_code.co_name)

        try:
            with open(self.filepath, 'rb') as f:
                elf = ELFFile(f)
                if not elf:
                    return

                # Generate all similarity hashes
                import_hash = self._generate_elf_import_hash(elf)
                export_hash = self._generate_elf_export_hash(elf)
                section_hash = self._generate_elf_section_hash(elf)
                symbol_hash = self._generate_elf_symbol_hash(elf)
                dynamic_hash = self._generate_elf_dynamic_hash(elf)

                # Only set hashes if they have meaningful values
                if import_hash:
                    self.hashes.import_hash = import_hash
                if export_hash:
                    self.hashes.export_hash = export_hash
                if section_hash:
                    self.hashes.section_hash = section_hash
                if symbol_hash:
                    self.hashes.symhash = symbol_hash
                if dynamic_hash:
                    self.hashes.dynamic_hash = dynamic_hash

        except Exception as e:
            self.log.error(f"Failed to extract ELF hashes: {e}")

    def _generate_elf_import_hash(self, elf) -> str:
        """Generate MD5 hash of sorted, deduplicated imported symbol names."""
        try:
            imported_symbols = set()

            # Get dynamic symbol table
            dynsym_section = elf.get_section_by_name('.dynsym')
            if dynsym_section and hasattr(dynsym_section, 'iter_symbols'):
                for symbol in dynsym_section.iter_symbols():
                    # Look for undefined symbols (imports)
                    if (symbol.entry.get('st_shndx', 0) == 'SHN_UNDEF' and
                        symbol.name and
                        symbol.entry.get('st_info', {}).get('bind') in ['STB_GLOBAL', 'STB_WEAK']):
                        imported_symbols.add(symbol.name)

            # Also check relocations for additional imports
            for section in elf.iter_sections():
                if hasattr(section, 'iter_relocations'):
                    try:
                        for relocation in section.iter_relocations():
                            if hasattr(relocation, 'symbol') and relocation.symbol and relocation.symbol.name:
                                imported_symbols.add(relocation.symbol.name)
                    except:
                        pass

            # Sort and concatenate
            sorted_imports = sorted(list(imported_symbols))

            # Return None if no imports found
            if not sorted_imports:
                return None

            imports_string = '|'.join(sorted_imports)

            # Generate MD5 hash
            return hashlib.md5(imports_string.encode('utf-8')).hexdigest()

        except Exception as e:
            self.log.error(f"Error generating ELF import hash: {e}")
            return None

    def _generate_elf_export_hash(self, elf) -> str:
        """Generate MD5 hash of sorted, deduplicated exported symbol names."""
        try:
            exported_symbols = set()

            # Check both static and dynamic symbol tables
            symbol_sections = ['.symtab', '.dynsym']

            for section_name in symbol_sections:
                section = elf.get_section_by_name(section_name)
                if not section or not hasattr(section, 'iter_symbols'):
                    continue

                for symbol in section.iter_symbols():
                    # Check if symbol is exported (defined and globally visible)
                    if (symbol.name and
                        symbol.entry.get('st_shndx', 0) != 'SHN_UNDEF' and
                        symbol.entry.get('st_info', {}).get('bind') in ['STB_GLOBAL', 'STB_WEAK'] and
                        symbol.entry.get('st_info', {}).get('type') in ['STT_FUNC', 'STT_OBJECT']):
                        exported_symbols.add(symbol.name)

            # Sort and concatenate
            sorted_exports = sorted(list(exported_symbols))

            # Return None if no exports found
            if not sorted_exports:
                return None

            exports_string = '|'.join(sorted_exports)

            # Generate MD5 hash
            return hashlib.md5(exports_string.encode('utf-8')).hexdigest()

        except Exception as e:
            self.log.error(f"Error generating ELF export hash: {e}")
            return None

    def _generate_elf_section_hash(self, elf) -> str:
        """Generate MD5 hash of section layout (names, types, flags sequence)."""
        try:
            section_info = []

            for section in elf.iter_sections():
                header = section.header
                section_name = section.name or "<unnamed>"
                section_type = header.get('sh_type', 'SHT_NULL')
                section_flags = header.get('sh_flags', 0)

                # Create a consistent representation
                section_repr = f"{section_name}:{section_type}:{section_flags}"
                section_info.append(section_repr)

            # Return None if no meaningful sections found
            if not section_info:
                return None

            # Join all section info
            sections_string = '|'.join(section_info)

            # Generate MD5 hash
            return hashlib.md5(sections_string.encode('utf-8')).hexdigest()

        except Exception as e:
            self.log.error(f"Error generating ELF section hash: {e}")
            return None

    def _generate_elf_symbol_hash(self, elf) -> str:
        """Generate MD5 hash of sorted symbol names and types."""
        try:
            symbol_info = set()

            # Check both static and dynamic symbol tables
            symbol_sections = ['.symtab', '.dynsym']

            for section_name in symbol_sections:
                section = elf.get_section_by_name(section_name)
                if not section or not hasattr(section, 'iter_symbols'):
                    continue

                for symbol in section.iter_symbols():
                    if symbol.name:
                        symbol_type = symbol.entry.get('st_info', {}).get('type', 'STT_NOTYPE')
                        symbol_bind = symbol.entry.get('st_info', {}).get('bind', 'STB_LOCAL')

                        # Create a consistent representation
                        symbol_repr = f"{symbol.name}:{symbol_type}:{symbol_bind}"
                        symbol_info.add(symbol_repr)

            # Sort and concatenate
            sorted_symbols = sorted(list(symbol_info))

            # Return None if no symbols found
            if not sorted_symbols:
                return None

            symbols_string = '|'.join(sorted_symbols)

            # Generate MD5 hash
            return hashlib.md5(symbols_string.encode('utf-8')).hexdigest()

        except Exception as e:
            self.log.error(f"Error generating ELF symbol hash: {e}")
            return None

    def _generate_elf_dynamic_hash(self, elf) -> str:
        """Generate MD5 hash of dynamic section entries (DT_* tags)."""
        try:
            dynamic_info = []

            # Get the dynamic section
            dynamic_section = elf.get_section_by_name('.dynamic')
            if not dynamic_section:
                return None

            # Extract dynamic tags and their values
            for tag in dynamic_section.iter_tags():
                dt_tag = tag.entry.d_tag

                # Create a representation based on tag type
                if dt_tag == 'DT_NEEDED':
                    dynamic_info.append(f"DT_NEEDED:{tag.needed}")
                elif dt_tag == 'DT_SONAME':
                    dynamic_info.append(f"DT_SONAME:{tag.soname}")
                elif dt_tag == 'DT_RPATH':
                    dynamic_info.append(f"DT_RPATH:{tag.rpath}")
                elif dt_tag == 'DT_RUNPATH':
                    dynamic_info.append(f"DT_RUNPATH:{tag.runpath}")
                else:
                    # For other tags, use the tag name and value
                    dt_value = tag.entry.d_val if hasattr(tag.entry, 'd_val') else 0
                    dynamic_info.append(f"{dt_tag}:{dt_value}")

            # Sort to ensure consistent ordering
            dynamic_info.sort()
            dynamics_string = '|'.join(dynamic_info)

            # Generate MD5 hash
            return hashlib.md5(dynamics_string.encode('utf-8')).hexdigest()

        except Exception as e:
            self.log.error(f"Error generating ELF dynamic hash: {e}")
            return None

    def _extract_macho_hashes(self):
        """Extract Mach-O specific similarity hashes using machofile API.

        For FAT binaries, this extracts hashes for the current file being processed
        (either the FAT container or an individual slice). The machofile library
        handles the architecture-specific extraction when an arch parameter is provided.

        For slices: We parse the slice file directly since it's a standalone Mach-O.
        For FAT container: We use the provided macho object with combined/fat hashes.
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        try:
            # If we have a pre-parsed macho object (FAT container or single-arch with passed object)
            if self.macho:
                architectures = self.macho.get_architectures()
                is_fat = len(architectures) > 1

                if is_fat:
                    # For FAT container, get combined hashes (key may be 'fat' or 'combined')
                    all_hashes = self.macho.get_similarity_hashes()
                    if all_hashes:
                        # Try 'fat' first, then 'combined' for backwards compatibility
                        similarity_hashes = all_hashes.get('fat', all_hashes.get('combined', {}))
                    else:
                        similarity_hashes = {}
                else:
                    # Single-arch with pre-parsed object
                    similarity_hashes = self.macho.get_similarity_hashes(arch=architectures[0]) if architectures else {}
            else:
                # No pre-parsed object - parse the file (slice case)
                import machofile
                macho = machofile.UniversalMachO(self.filepath)
                macho.parse()

                architectures = macho.get_architectures()
                if architectures:
                    # For a slice, there's only one architecture
                    similarity_hashes = macho.get_similarity_hashes(arch=architectures[0]) or {}
                else:
                    similarity_hashes = {}

            # Set the hash values on the Hashes object
            if similarity_hashes:
                if similarity_hashes.get('dylib_hash'):
                    self.hashes.macho_dylib_hash = similarity_hashes['dylib_hash']
                if similarity_hashes.get('import_hash'):
                    self.hashes.macho_import_hash = similarity_hashes['import_hash']
                if similarity_hashes.get('export_hash'):
                    self.hashes.macho_export_hash = similarity_hashes['export_hash']
                if similarity_hashes.get('entitlement_hash'):
                    self.hashes.macho_entitlement_hash = similarity_hashes['entitlement_hash']
                if similarity_hashes.get('symhash'):
                    self.hashes.macho_symhash = similarity_hashes['symhash']

        except Exception as e:
            self.log.error(f"Failed to extract Mach-O hashes: {e}")

    def _extract_apk_hashes(self):
        """Extract APK specific similarity hashes (permhash)."""
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            from permhash.functions import permhash_apk
            ph = permhash_apk(self.filepath)
            if ph:
                self.hashes.permhash = ph
        except Exception as e:
            self.log.error(f"Failed to extract APK hashes: {e}")

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)
            self._extract_hashes()
            return self.hashes
        except Exception as e:
            self.log.error(f"Error extracting hashes: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.hashes
        elif exporter_type == "ClickHouseExporter":
            # Safely get hash values with fallbacks for None values
            sha256 = getattr(self.hashes, 'sha256', None) or ""
            md5 = getattr(self.hashes, 'md5', None) or ""
            sha1 = getattr(self.hashes, 'sha1', None) or ""
            ssdeep_hash = getattr(self.hashes, 'ssdeep_hash', None) or ""
            tlsh_hash = getattr(self.hashes, 'tlsh_hash', None) or ""
            authentihash = getattr(self.hashes, 'authentihash', None)
            imphash = getattr(self.hashes, 'imphash', None)
            impfuzzy = getattr(self.hashes, 'impfuzzy', None)
            typerefhash = getattr(self.hashes, 'typerefhash', None)
            richhash = getattr(self.hashes, 'richhash', None)
            richpe_hash = getattr(self.hashes, 'richpe_hash', None)
            richpv_hash = getattr(self.hashes, 'richpv_hash', None)
            richpv_hash_sorted = getattr(self.hashes, 'richpv_hash_sorted', None)
            # ELF hashes
            import_hash = getattr(self.hashes, 'import_hash', None)
            export_hash = getattr(self.hashes, 'export_hash', None)
            section_hash = getattr(self.hashes, 'section_hash', None)
            symbol_hash = getattr(self.hashes, 'symhash', None)
            dynamic_hash = getattr(self.hashes, 'dynamic_hash', None)
            # Mach-O hashes
            macho_dylib_hash = getattr(self.hashes, 'macho_dylib_hash', None)
            macho_import_hash = getattr(self.hashes, 'macho_import_hash', None)
            macho_export_hash = getattr(self.hashes, 'macho_export_hash', None)
            macho_entitlement_hash = getattr(self.hashes, 'macho_entitlement_hash', None)
            macho_symhash = getattr(self.hashes, 'macho_symhash', None)
            # APK hashes
            permhash = getattr(self.hashes, 'permhash', None)

            data = [[
                sha256,
                md5,
                sha1,
                ssdeep_hash,
                tlsh_hash,
                authentihash,
                imphash,
                impfuzzy,
                typerefhash,
                richhash,
                richpe_hash,
                richpv_hash,
                richpv_hash_sorted,
                import_hash,
                export_hash,
                section_hash,
                symbol_hash,
                dynamic_hash,
                macho_dylib_hash,
                macho_import_hash,
                macho_export_hash,
                macho_entitlement_hash,
                macho_symhash,
                permhash,
                datetime.now(timezone.utc)
            ]]

            column_names = [
                'sha256', 'md5', 'sha1', 'ssdeep_hash', 'tlsh_hash',
                'authentihash', 'imphash', 'impfuzzy', 'typerefhash',
                'richhash', 'richpe_hash', 'richpv_hash', 'richpv_hash_sorted',
                'import_hash', 'export_hash', 'section_hash', 'symbol_hash', 'dynamic_hash',
                'macho_dylib_hash', 'macho_import_hash', 'macho_export_hash',
                'macho_entitlement_hash', 'macho_symhash',
                'permhash',
                'analysis_date'
            ]

            column_type_names = [
                # sha256, md5, sha1
                'String', 'String', 'String',
                # ssdeep_hash, tlsh_hash
                'Nullable(String)', 'Nullable(String)',
                # authentihash, imphash, impfuzzy, typerefhash
                'Nullable(String)', 'Nullable(String)',
                'Nullable(String)', 'Nullable(String)',
                # richhash, richpe_hash, richpv_hash, richpv_hash_sorted
                'Nullable(String)', 'Nullable(String)',
                'Nullable(String)', 'Nullable(String)',
                # import_hash, export_hash, section_hash, symbol_hash, dynamic_hash
                'Nullable(FixedString(32))', 'Nullable(FixedString(32))',
                'Nullable(FixedString(32))', 'Nullable(FixedString(32))',
                'Nullable(FixedString(32))',
                # macho_dylib_hash, macho_import_hash, macho_export_hash, macho_entitlement_hash, macho_symhash
                'Nullable(FixedString(32))', 'Nullable(FixedString(32))',
                'Nullable(FixedString(32))', 'Nullable(FixedString(32))',
                'Nullable(FixedString(32))',
                # permhash (APK)
                'Nullable(FixedString(64))',
                # analysis_date
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

    def get_clickhouse_table(self) -> str:
        return "redb_hashes"

    def tag(self):
        return Tag.HASH.value