Wei Peng

40 papers A* 1B 2Journal 33Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Complex Intell. Syst.
Jiliang Zhao, Wei Peng, Handing Wang, Wen Yao
2025 J jnl
Neural Networks
Zixue Xiang, Wei Peng, Wen Yao, Xu Liu, Xiaoya Zhang
2024 J jnl
CoRR
Xu Liu, Wen Yao, Wei Peng, Zhuojia Fu, Zixue Xiang, Xiaoqian Chen
2024 J jnl
Complex Intell. Syst.
Jiliang Zhao, Handing Wang, Wen Yao, Wei Peng, Zhiqiang Gong
2024 B conf
CEC
Shulei Liu, Handing Wang, Wen Yao, Wei Peng, Jingjing Ma
2024 B conf
IJCNN
Yifan Hao, Yang Yang, Junru Song, Wei Peng, Weien Zhou, Tingsong Jiang, Wen Yao
2024 J jnl
CoRR
Yifan Hao, Yang Yang, Junru Song, Wei Peng, Weien Zhou, Tingsong Jiang, Wen Yao
2024 A* conf
AAAI
Junru Song, Yang Yang, Wei Peng, Weien Zhou, Feifei Wang, Wen Yao
2024 J jnl
IEEE Trans. Evol. Comput.
Shulei Liu, Wen Yao, Handing Wang, Wei Peng, Yang Yang
2024 J jnl
Appl. Soft Comput.
Zixue Xiang, Wei Peng, Wen Yao, Xu Liu, Xiaoya Zhang
2024 J jnl
IEEE Trans. Evol. Comput.
Shulei Liu, Handing Wang, Wen Yao, Wei Peng
2024 J jnl
Complex Intell. Syst.
Shulei Liu, Handing Wang, Wei Peng, Wen Yao
2023 conf
ICCAI
Weijie Yao, Wei Peng, Xiaoya Zhang, Wen Yao
2023 J jnl
Neurocomputing
Xu Liu, Wen Yao, Wei Peng, Weien Zhou
2023 J jnl
Eng. Appl. Artif. Intell.
Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao
2022 J jnl
IEEE Trans. Evol. Comput.
Shulei Liu, Handing Wang, Wei Peng, Wen Yao
2022 J jnl
Neural Comput. Appl.
Xu Liu, Xiaoya Zhang, Wei Peng, Weien Zhou, Wen Yao
2022 J jnl
CoRR
Kairui Bao, Wen Yao, Xiaoya Zhang, Wei Peng, Yu Li
2022 J jnl
CoRR
Xu Liu, Wen Yao, Wei Peng, Weien Zhou
2022 conf
MMBD
Zeyu Cao, Wei Peng, Xiaoya Zhang, Wen Yao
2022 J jnl
Math. Methods Oper. Res.
Xiaoya Zhang, Wei Peng, Hui Zhang
2022 J jnl
CoRR
Zeyu Cao, Wen Yao, Wei Peng, Xiaoya Zhang, Kairui Bao
2022 J jnl
CoRR
Wei Peng, Weien Zhou, Xiaoya Zhang, Wen Yao, Zheliang Liu
2022 J jnl
CoRR
Zixue Xiang, Wei Peng, Wen Yao
2022 J jnl
CoRR
Wei Peng, Wen Yao, Weien Zhou, Xiaoya Zhang, Weijie Yao
2022 J jnl
Neurocomputing
Zixue Xiang, Wei Peng, Xu Liu, Wen Yao
2022 J jnl
CoRR
Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao
2022 J jnl
Eng. Appl. Artif. Intell.
Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao
2021 J jnl
CoRR
Xu Liu, Xiaoya Zhang, Wei Peng, Weien Zhou, Wen Yao
2021 J jnl
CoRR
Wei Peng, Jun Zhang, Weien Zhou, Xiaoyu Zhao, Wen Yao, Xiaoqian Chen
2021 J jnl
CoRR
Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao
2021 J jnl
Math. Oper. Res.
Hui Zhang, Yu-Hong Dai, Lei Guo, Wei Peng
2020 J jnl
CoRR
Wei Peng, Weien Zhou, Jun Zhang, Wen Yao
2020 J jnl
J. Glob. Optim.
Wei Peng, Hui Zhang, Xiaoya Zhang, Lizhi Cheng
2020 J jnl
Optim. Methods Softw.
Wei Peng, Yu-Hong Dai, Hui Zhang, Lizhi Cheng
2019 J jnl
J. Optim. Theory Appl.
Wei Peng, Hui Zhang, Xiaoya Zhang
2019 J jnl
CoRR
Wei Peng, Yuhong Dai, Hui Zhang, Lizhi Cheng
2018 J jnl
Comput. Math. Appl.
Wei Peng, Hongxia Wang
2017 conf
ICNCC
Chengcheng Huang, Wei Peng, Housen Li, Lizhi Cheng, Hao Jiang
2015 conf
HPCA (China)
Wei Peng, Hongxia Wang
redb/extractors/elf_extractors/elf_sections.py
← Index redb/extractors/elf_extractors/elf_sections.py python
import inspect
import hashlib
import math
from collections import Counter
from datetime import datetime, timezone
from typing import Any, List, Dict

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

from redb.extractors.enum import Tag
from redb.extractors.elf_extractor import ELFExtractor
from redb.models.dataclasses import ELFSection


class ELFSectionExtractor(ELFExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        elf=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            elf,
        )
        self.elf_sections = []
        self.elastic_index = self.index_prefix + "-elf_sections"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _is_empty_result(self, extracted_data) -> bool:
        """
        Override: Empty sections is an ERROR, not a valid empty case.
        A valid ELF file must have sections (at minimum a null section).
        """
        # Always return False - empty sections should be treated as an error
        return False

    def _calculate_entropy(self, data: bytes) -> float:
        """Calculate Shannon entropy of data."""
        if not data:
            return 0.0

        try:
            # Count frequency of each byte
            byte_counts = Counter(data)
            data_len = len(data)

            # Calculate entropy
            entropy = 0.0
            for count in byte_counts.values():
                if count > 0:
                    frequency = count / data_len
                    entropy -= frequency * math.log2(frequency)

            return entropy
        except Exception as e:
            self.log.error(f"Error calculating entropy: {e}")
            return 0.0

    def _map_section_type(self, sh_type_str: str) -> int:
        """Map section type string to enum value."""
        type_map = {
            'SHT_NULL': 0,
            'SHT_PROGBITS': 1,
            'SHT_SYMTAB': 2,
            'SHT_STRTAB': 3,
            'SHT_RELA': 4,
            'SHT_HASH': 5,
            'SHT_DYNAMIC': 6,
            'SHT_NOTE': 7,
            'SHT_NOBITS': 8,
            'SHT_REL': 9,
            'SHT_DYNSYM': 11
        }
        return type_map.get(sh_type_str, 0)

    def _decode_section_flags(self, flags: int) -> List[str]:
        """Decode section flags to human-readable strings."""
        flag_strings = []

        # Common ELF section flags
        if flags & 0x1:  # SHF_WRITE
            flag_strings.append('WRITE')
        if flags & 0x2:  # SHF_ALLOC
            flag_strings.append('ALLOC')
        if flags & 0x4:  # SHF_EXECINSTR
            flag_strings.append('EXECINSTR')
        if flags & 0x10:  # SHF_MERGE
            flag_strings.append('MERGE')
        if flags & 0x20:  # SHF_STRINGS
            flag_strings.append('STRINGS')
        if flags & 0x40:  # SHF_INFO_LINK
            flag_strings.append('INFO_LINK')
        if flags & 0x80:  # SHF_LINK_ORDER
            flag_strings.append('LINK_ORDER')
        if flags & 0x100:  # SHF_OS_NONCONFORMING
            flag_strings.append('OS_NONCONFORMING')
        if flags & 0x200:  # SHF_GROUP
            flag_strings.append('GROUP')
        if flags & 0x400:  # SHF_TLS
            flag_strings.append('TLS')

        return flag_strings if flag_strings else ['NONE']

    def _extract_section_data(self, section) -> Dict:
        """Extract data from a single section."""
        try:
            header = section.header

            # Get section name (handle empty names)
            section_name = section.name if section.name else f"<unnamed_{section.header.get('sh_name', 0)}>"

            # Get section type and map to enum
            sh_type_str = header.get('sh_type', 'SHT_NULL')
            section_type_enum = self._map_section_type(sh_type_str)
            section_type_str = sh_type_str.replace('SHT_', '') if sh_type_str.startswith('SHT_') else sh_type_str

            # Get section properties
            section_flags = header.get('sh_flags', 0)
            section_flags_str = self._decode_section_flags(section_flags)
            section_addr = header.get('sh_addr', 0)
            section_offset = header.get('sh_offset', 0)
            section_size = header.get('sh_size', 0)
            section_link = header.get('sh_link', 0)
            section_info = header.get('sh_info', 0)
            section_addralign = header.get('sh_addralign', 0)
            section_entsize = header.get('sh_entsize', 0)

            # Calculate entropy and hashes for section data
            section_entropy = 0.0
            section_sha256 = ""
            section_md5 = ""

            try:
                if section_size > 0 and section_type_str != 'NOBITS':
                    section_data = section.data()
                    if section_data:
                        # Calculate entropy
                        section_entropy = self._calculate_entropy(section_data)

                        # Calculate hashes
                        section_sha256 = hashlib.sha256(section_data).hexdigest()
                        section_md5 = hashlib.md5(section_data).hexdigest()
            except Exception as e:
                self.log.warning(f"Could not read section '{section_name}' data: {e}")
                section_entropy = 0.0
                section_sha256 = ""
                section_md5 = ""

            return ELFSection(
                section_name=section_name,
                section_type=section_type_enum,
                section_type_str=section_type_str,
                section_flags=section_flags,
                section_flags_str=section_flags_str,
                section_addr=section_addr,
                section_offset=section_offset,
                section_size=section_size,
                section_link=section_link,
                section_info=section_info,
                section_addralign=section_addralign,
                section_entsize=section_entsize,
                section_entropy=section_entropy,
                section_sha256=section_sha256,
                section_md5=section_md5
            )

        except Exception as e:
            self.log.error(f"Error extracting section data: {e}")
            return None

    def tag(self):
        return Tag.ELF_SECTIONS.value if hasattr(Tag, 'ELF_SECTIONS') else "elf_sections"

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)

            def extract_data(elf):
                sections_data = []

                # Iterate through all sections with per-section error handling
                for section_index, section in enumerate(elf.iter_sections()):
                    try:
                        section_data = self._extract_section_data(section)
                        if section_data:
                            sections_data.append(section_data)
                        else:
                            self.log.warning(f"Failed to extract data for section {section_index}")
                    except Exception as e:
                        self.log.warning(f"Error processing section {section_index}: {e}")
                        # Continue processing other sections

                return sections_data

            if not self._is_elf_file():
                return None

            result = self._with_elf_file(extract_data)
            if result is None:
                return None

            self.elf_sections = result
            return self.elf_sections

        except Exception as e:
            self.log.error(f"Error extracting ELF sections {self.hash.sha256}: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        self.log.debug(inspect.currentframe().f_code.co_name)

        if exporter_type == "ElasticsearchExporter":
            return self.elf_sections
        elif exporter_type == "ClickHouseExporter":
            try:
                if not self.elf_sections:
                    return None

                # Prepare data arrays for all sections
                data = []
                current_time = datetime.now(timezone.utc)
                for section in self.elf_sections:
                    row = [
                        self.sha256,
                        self.md5,
                        self.sha1,
                        section.section_name,
                        section.section_type,
                        section.section_type_str,
                        section.section_flags,
                        section.section_flags_str,
                        section.section_addr,
                        section.section_offset,
                        section.section_size,
                        section.section_link,
                        section.section_info,
                        section.section_addralign,
                        section.section_entsize,
                        section.section_entropy,
                        section.section_sha256,
                        section.section_md5,
                        current_time
                    ]
                    data.append(row)

                column_names = [
                    'sha256', 'md5', 'sha1',
                    'section_name', 'section_type', 'section_type_str',
                    'section_flags', 'section_flags_str',
                    'section_addr', 'section_offset', 'section_size',
                    'section_link', 'section_info', 'section_addralign', 'section_entsize',
                    'section_entropy', 'section_sha256', 'section_md5',
                    'analysis_date'
                ]

                column_type_names = [
                    'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                    'LowCardinality(String)',
                    "Enum8('NULL'=0, 'PROGBITS'=1, 'SYMTAB'=2, 'STRTAB'=3, 'RELA'=4, 'HASH'=5, 'DYNAMIC'=6, 'NOTE'=7, 'NOBITS'=8, 'REL'=9, 'DYNSYM'=11)",
                    'LowCardinality(String)',
                    'UInt64',
                    'Array(LowCardinality(String))',
                    'UInt64', 'UInt64', 'UInt64',
                    'UInt32', 'UInt32', 'UInt64', 'UInt64',
                    'Float64',
                    'FixedString(64)', 'FixedString(32)',
                    'DateTime64(3, \'UTC\')'
                ]

                if not data:
                    return None

                return (data, column_names, column_type_names)

            except Exception as e:
                self.log.error(f"Error preparing export data: {e}")
                raise

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