Weimin Shi

63 papers A* 1C 1Journal 56Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
ACM Comput. Surv.
Ming Meng, Yufei Zhao, Bo Zhang, Yonggui Zhu, Weimin Shi, Maxwell Wen, Zhaoxin Fan
2026 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Ruibin Gao, Shuang Liu, Weimin Shi, Zhijiang Dai, Mingyu Li, Shichang Chen, Jingzhou Pang
2026 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Shuang Liu, Jingzhou Pang, Ruibin Gao, Zhijiang Dai, Weimin Shi, Shichang Chen, Mingyu Li
2026 A* conf
AAAI
Weimin Shi, Xiang Li, Kaige Li, Junhao Fang, Qiang Zhou, Qichuan Geng, Zhong Zhou
2026 J jnl
Comput. Stand. Interfaces
Yi-Hua Zhou, Shumiao Liu, Yu-Guang Yang, Weimin Shi, Zhenhu Ning
2026 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Chunyu Hu, Weimin Shi, Ruibin Gao, Yu Li, Ke Liu, Zhijiang Dai, Jingzhou Pang, Mingyu Li, Liang Liang
2026 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Tianfu Cai, Shuman Kong, Xiaodong Zhang, Mingyu Li, Weimin Shi, Zhijiang Dai, Jingzhou Pang
2025 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Zhenyu Li, Zhijiang Dai, Zhiqing Liu, Weimin Shi, Jingzhou Pang, Shengdong Hu, Mingyu Li
2025 J jnl
Virtual Real. Intell. Hardw.
Weimin Shi, Yuan Xiong, Qianwen Wang, Han Jiang, Zhong Zhou
2025 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Shuang Liu, Jingzhou Pang, Ruibin Gao, Zhijiang Dai, Mingyu Li, Shichang Chen, Weimin Shi
2025 J jnl
IEEE Trans. Image Process.
Weimin Shi, Changhao Chen, Kaige Li, Yuan Xiong, Xiaochun Cao, Zhong Zhou
2025 J jnl
J. Inf. Secur. Appl.
Yi-Hua Zhou, Xiongkai Liu, Yu-Guang Yang, Weimin Shi, Zhenhu Ning
2025 J jnl
IEEE Trans. Image Process.
Kaige Li, Maoxian Wan, Qichuan Geng, Weimin Shi, Xiaochun Cao, Zhong Zhou
2025 J jnl
Comput. Vis. Media
Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piekos, Aditya A. Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber
2025 J jnl
IEEE Access
Xin Ru, Yanhao Wang, Ran Chen, Zhifa Zeng, Laihu Peng, Wei Tang, Weimin Shi, Hui Wang
2025 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Ke Liu, Weimin Shi, Lu Chen, Yu Li, Yan Zhang, Chunyu Hu, Zhijiang Dai, Jingzhou Pang, Mingyu Li
2024 J jnl
IEEE J. Solid State Circuits
Li Wang, Zhao Zhang, Can Wang, Rehan Azmat, Weimin Shi, C. Patrick Yue
2024 J jnl
CoRR
Ming Meng, Yufei Zhao, Bo Zhang, Yonggui Zhu, Weimin Shi, Maxwell Wen, Zhaoxin Fan
2024 J jnl
Int. J. Circuit Theory Appl.
Tian Li, Mingyu Li, Zhijiang Dai, Jingzhou Pang, Weimin Shi, Yi Jin
2024 J jnl
IEEE J. Emerg. Sel. Topics Circuits Syst.
Ge Bai, Zhijiang Dai, Jingsong Wang, Cheng Bi, Weimin Shi, Jingzhou Pang, Mingyu Li
2024 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Kang Zhong, Zhijiang Dai, Feng Xiao, Ruibin Gao, Weimin Shi, Jingzhou Pang, Mingyu Li
2024 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Zhijiang Dai, Shuman Kong, Wei Feng, Shen Tian, Weimin Shi, Jingzhou Pang, Mingyu Li
2024 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Meng Ren, Ruibin Gao, Shuang Liu, Mingyu Li, Weimin Shi, Zhijiang Dai, Shichang Chen, Jingzhou Pang
2024 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Yujie Han, Ruibin Gao, Shuang Liu, Mingyu Li, Weimin Shi, Zhijiang Dai, Shichang Chen, Jingzhou Pang
2024 J jnl
Sensors
Xin Ru, Ran Chen, Laihu Peng, Weimin Shi
2024 J jnl
IEEE Trans. Intell. Transp. Syst.
Xin Zhang, Yunan Ling, Kaige Li, Weimin Shi, Zhong Zhou
2024 J jnl
IEEE Commun. Lett.
Chenfei Xie, Yonghui Li, Lu Chen, Weimin Shi, Zhongpei Zhang, Yue Xiu
2024 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Weimin Shi, Dehong Gao, Yuan Xiong, Zhong Zhou
2024 J jnl
Sensors
Qilong Miao, Weimin Shi, Chenfei Xie, Yong Gao, Lu Chen
2023 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Chunyu Hu, Rongxing Yang, Weimin Shi, Li Li, Ruibin Gao, Zhijiang Dai, Jingzhou Pang, Mingyu Li
2023 J jnl
Int. J. Circuit Theory Appl.
Jinting Liu, Weimin Shi, Linping Feng, Mingyu Li
2023 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Rongxing Yang, Weimin Shi, Chunyu Hu, Shuaijiang Lin, Zhijiang Dai, Jingzhou Pang, Mingyu Li
2023 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Chunyu Hu, Weimin Shi, Rongxing Yang, Shuaijiang Lin, Zhijiang Dai, Jingzhou Pang, Mingyu Li
2023 J jnl
Sensors
Jian Chen, Zhihui Liu, Tao Dong, Weimin Shi
2023 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Yao Yao, Weimin Shi, Jingzhou Pang, Zhijiang Dai, Mingyu Li
2023 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Weimin Shi, Xiaolong Li, Yong Gao, Chunyu Hu, Zhijiang Dai, Jingzhou Pang, Mingyu Li
2023 J jnl
CoRR
Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piekos, Aditya A. Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber
2023 J jnl
CoRR
Weimin Shi, Mingchen Zhuge, Zhong Zhou, Dehong Gao, Deng-Ping Fan
2023 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Wenyi Jia, Zefan Feng, Tianfu Cai, Mingyu Li, Weimin Shi, Zhijiang Dai
2023 J jnl
Sensors
Junru Wang, Zhiwei Shi, Weimin Shi, Hongpeng Wang
2023 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Shuang Liu, Jingzhou Pang, Ruibin Gao, Tingting Yao, Tianfu Cai, Mingyu Li, Weimin Shi, Zhijiang Dai
2022 J jnl
Virtual Real. Intell. Hardw.
Fanfan Wu, Feihu Yan, Weimin Shi, Zhong Zhou
2022 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Tian Li, Mingyu Li, Zhijiang Dai, Li Li, Yi Jin, Changzhi Xu, Weimin Shi, Jingzhou Pang, Hailin Cao
2022 J jnl
Vis. Comput.
Qiaoning Yang, Weimin Shi, Juan Chen, Yang Tang
2022 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Han Liu, Chuan Li, Songbai He, Weimin Shi, Yin Chen, Wen Shi
2022 J jnl
Sensors
Jiajia Tu, Sijie Han, Lei Sun, Weimin Shi, Ning Dai
2021 J jnl
IEEE Open J. Circuits Syst.
Can Wang, Li Wang, Zhao Zhang, Milad Kalantari Mahmoudabadi, Weimin Shi, C. Patrick Yue
2021 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Linping Feng, Haoshen Zhu, Wenjie Feng, Haidong Chen, Weimin Shi, Wenquan Che, Quan Xue
2021 conf
ASICON
Weimin Shi, Fuzhan Chen, Xinyi Liu, Chongyun Zhang, Zilu Liu, Tianxin Min, Bo Xu, Li Wang, Jian Kang, C. Patrick Yue
2021 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Weimin Shi, Wen Shi, Jun Peng, Linping Feng, Yong Gao, Songbai He, C. Patrick Yue
2021 conf
ASICON
Tianxin Min, Jian Kang, Bo Xu, Weimin Shi, C. Patrick Yue
2021 J jnl
J. Circuits Syst. Comput.
Decheng Gan, Weimin Shi
2021 J jnl
Sensors
Zhiwei Shi, Weimin Shi, Junru Wang
2020 J jnl
IEEE Access
Decheng Gan, Weimin Shi, Songbai He, Yong Gao, Gideon Naah
2020 J jnl
J. Circuits Syst. Comput.
Decheng Gan, Weimin Shi, Muhammad Furqan Haider
2020 conf
CISP-BMEI
Weimin Shi, Qiaoning Yang, Juan Chen
2019 J jnl
IEEE Access
Decheng Gan, Weimin Shi
2019 J jnl
J. Circuits Syst. Comput.
Weimin Shi, Songbai He
2017 conf
ASCC
Weimin Shi, Wenhai Chen, Lixin Gao, Jiangping Hu
2017 J jnl
IEICE Electron. Express
Min Zhang, Zongxi Tang, Weimin Shi, Xin Cao
2014 J jnl
Microelectron. Reliab.
Xingwei Ding, Jianhua Zhang, Hao Zhang, He Ding, Chuanxin Huang, Jun Li, Weimin Shi, Xueyin Jiang, Zhilin Zhang
2010 C conf
CIS
Weimin Shi, Changgen Peng
2008 conf
CSSE (4)
Libin Zhang, Weimin Shi, Fang Xu, Hongwu Zhan
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