Weiqi Wu

31 papers A* 3A 1Journal 16Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comput. Networks
Weiqi Wu, Wei Gong
2025 J jnl
IEEE Trans. Sustain. Comput.
Weiqi Wu, Wei Xi, Xianjun Deng, Shuai Wang, Haoquan Zhou, Wei Gong
2025 J jnl
CoRR
Weiqi Wu, Xin Guan, Shen Huang, Yong Jiang, Pengjun Xie, Fei Huang, Jiuxin Cao, Hai Zhao, Jingren Zhou
2025 J jnl
CoRR
Tianyang Xu, Hongqiu Wu, Weiqi Wu, Hai Zhao
2025 conf
EMNLP (System Demonstrations)
Tianyang Xu, Hongqiu Wu, Weiqi Wu, Hai Zhao
2025 conf
ACL (1)
Hongqiu Wu, Weiqi Wu, Tianyang Xu, Jiameng Zhang, Hai Zhao
2025 J jnl
CoRR
Hongqiu Wu, Weiqi Wu, Tianyang Xu, Jiameng Zhang, Hai Zhao
2025 conf
NAACL (Findings)
Weiqi Wu, Shen Huang, Yong Jiang, Pengjun Xie, Fei Huang, Hai Zhao
2025 J jnl
CoRR
Weiqi Wu, Shen Huang, Yong Jiang, Pengjun Xie, Fei Huang, Hai Zhao
2025 A* conf
EMNLP
Qiuchen Wang, Ruixue Ding, Zehui Chen, Weiqi Wu, Shihang Wang, Pengjun Xie, Feng Zhao
2025 J jnl
CoRR
Qiuchen Wang, Ruixue Ding, Zehui Chen, Weiqi Wu, Shihang Wang, Pengjun Xie, Feng Zhao
2025 conf
ACL (1)
Weiqi Wu, Hongqiu Wu, Hai Zhao
2024 J jnl
CoRR
Hongqiu Wu, Zekai Xu, Tianyang Xu, Shize Wei, Yan Wang, Jiale Hong, Weiqi Wu, Hai Zhao, Min Zhang, Zhezhi He
2024 conf
ACL (Findings)
Weiqi Wu, Hongqiu Wu, Lai Jiang, Xingyuan Liu, Hai Zhao, Min Zhang
2024 J jnl
CoRR
Weiqi Wu, Hongqiu Wu, Lai Jiang, Xingyuan Liu, Jiale Hong, Hai Zhao, Min Zhang
2024 book
Wei Gong, Jiangchuan Liu, Weiqi Wu
2024 J jnl
CoRR
Weiqi Wu, Hongqiu Wu, Hai Zhao
2023 A conf
EACL
Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu
2023 J jnl
CoRR
Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu
2023 conf
EMNLP (Findings)
Haoyi Wu, Wenyang Hui, Yezeng Chen, Weiqi Wu, Kewei Tu, Yi Zhou
2023 J jnl
CoRR
Haoyi Wu, Wenyang Hui, Yezeng Chen, Weiqi Wu, Kewei Tu, Yi Zhou
2023 conf
ACL (1)
Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu
2023 J jnl
CoRR
Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu
2023 J jnl
IEEE Trans. Mob. Comput.
Weiqi Wu, Xingfu Wang, Ammar Hawbani, Ping Liu, Liang Zhao, Ahmed Yassin Al-Dubai
2023 A* conf
PERCOM
Weiqi Wu, Ammar Hawbani, Wei Gong
2022 J jnl
Comput. Networks
Weiqi Wu, Xingfu Wang, Ammar Hawbani, Longzhi Yuan, Wei Gong
2022 A* conf
EMNLP
Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu
2022 J jnl
CoRR
Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu
2020 conf
ICIT
Taiyaba Qureshi, Xingfu Wang, Ammar Hawbani, Weiqi Wu, Muhammad Umar Farooq, Adeel Ahmed
2020 conf
ISPA/BDCloud/SocialCom/SustainCom
Weiqi Wu, Xingfu Wang, Ammar Hawbani, Taiyaba Qureshi
2018 conf
ICSAI
Liansheng Wang, Weiqi Wu, Yiping Chen, ChangHua Liu
redb/extractors/elf_extractors/elf_exports.py
← Index redb/extractors/elf_extractors/elf_exports.py python
import inspect
from datetime import datetime, timezone
from typing import Any, List, Set

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 ELFExport


class ELFExportExtractor(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_exports = None
        self.elastic_index = self.index_prefix + "-elf_exports"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _get_exported_functions_from_symbols(self, elf) -> Set[str]:
        """Extract exported functions from symbol tables."""
        exported_functions = set()

        try:
            # Check both static (.symtab) and dynamic (.dynsym) 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  # Not undefined
                        symbol.entry.get('st_info', {}).get('bind') in ['STB_GLOBAL', 'STB_WEAK'] and  # Global or weak binding
                        symbol.entry.get('st_info', {}).get('type') in ['STT_FUNC', 'STT_OBJECT']):  # Function or object

                        # Additional checks for meaningful exports
                        if (symbol.entry.get('st_value', 0) > 0 or  # Has a value
                            symbol.entry.get('st_size', 0) > 0):    # Has a size
                            exported_functions.add(symbol.name)

        except Exception as e:
            self.log.error(f"Error extracting exported functions from symbols: {e}")

        return exported_functions

    def _get_exported_functions_from_dynamic_section(self, elf) -> Set[str]:
        """Extract exported functions information from dynamic section."""
        exported_functions = set()

        try:
            # Get the dynamic section
            dynamic_section = elf.get_section_by_name('.dynamic')
            if not dynamic_section:
                return exported_functions

            # Look for version definition sections that might indicate exports
            # This is complementary to symbol table analysis
            for tag in dynamic_section.iter_tags():
                if tag.entry.d_tag == 'DT_SONAME':
                    # If it has a SONAME, it's likely a shared library with exports
                    # The actual exports are still found in symbol tables
                    pass

        except Exception as e:
            self.log.error(f"Error extracting exports from dynamic section: {e}")

        return exported_functions

    def _filter_meaningful_exports(self, exports: Set[str]) -> Set[str]:
        """Filter out compiler-generated and internal symbols to focus on meaningful exports."""
        filtered_exports = set()

        # Common patterns to exclude (compiler-generated, internal symbols)
        exclude_patterns = [
            '_start',
            '_init',
            '_fini',
            '__libc_',
            '__gmon_start__',
            '_IO_stdin_used',
            '__data_start',
            '__bss_start',
            '_edata',
            '_end',
            '__TMC_END__',
            '_ITM_deregisterTMCloneTable',
            '_ITM_registerTMCloneTable',
            '__cxa_finalize',
            '__gxx_personality_v0',
            '_Jv_RegisterClasses'
        ]

        for export in exports:
            # Skip empty or very short names
            if not export or len(export) < 2:
                continue

            # Skip symbols that match exclude patterns
            skip = False
            for pattern in exclude_patterns:
                if export.startswith(pattern):
                    skip = True
                    break

            # Skip symbols that look like internal mangled names (but keep reasonable C++ names)
            if export.startswith('_Z') and len(export) > 50:  # Very long mangled names
                skip = True

            if not skip:
                filtered_exports.add(export)

        return filtered_exports

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

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

            def extract_data(elf):
                # Extract exported functions from multiple sources
                exported_functions = set()

                # From symbol tables (primary source)
                symbol_exports = self._get_exported_functions_from_symbols(elf)
                exported_functions.update(symbol_exports)

                # From dynamic section (supplementary)
                dynamic_exports = self._get_exported_functions_from_dynamic_section(elf)
                exported_functions.update(dynamic_exports)

                # Filter out compiler-generated and internal symbols
                meaningful_exports = self._filter_meaningful_exports(exported_functions)

                # Convert to sorted list for consistent output
                export_functions_list = sorted(list(meaningful_exports))

                # Return ELFExport dataclass
                return ELFExport(
                    elf_exports_total=len(export_functions_list),
                    elf_export_functions=export_functions_list,
                )

            if not self._is_elf_file():
                return None

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

            self.elf_exports = result
            return self.elf_exports

        except Exception as e:
            self.log.error(f"Error extracting ELF exports {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_exports
        elif exporter_type == "ClickHouseExporter":
            try:
                if not self.elf_exports:
                    return None

                # Prepare data array
                data = [[
                    self.sha256,
                    self.md5,
                    self.sha1,
                    self.elf_exports.elf_exports_total,
                    self.elf_exports.elf_export_functions,
                    datetime.now(timezone.utc)
                ]]

                column_names = [
                    'sha256', 'md5', 'sha1',
                    'elf_exports_total',
                    'elf_export_functions',
                    'analysis_date'
                ]

                if not data:
                    return None

                column_type_names = [
                    'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                    'UInt32',
                    'Array(LowCardinality(String))',
                    'DateTime64(3, \'UTC\')'
                ]

                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_exports"