Kai Sun

24 papers B 2Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2025 B conf
IEEE Big Data
Siyao Wang, Jianfeng Wang, Florian Guitton, Guanyu Tao, Chengliang Dai, Nguyen Truong, Mark Kennedy, Kai Sun
2024 J jnl
J. Am. Medical Informatics Assoc.
Jingqing Zhang, Kai Sun, Akshay Jagadeesh, Parastoo Falakaflaki, Elena Kayayan, Guanyu Tao, Mahta Haghighat Ghahfarokhi, Deepa Gupta, Ashok Gupta, Vibhor Gupta, Yike Guo
2023 J jnl
CoRR
Jingqing Zhang, Kai Sun, Akshay Jagadeesh, Mahta Ghahfarokhi, Deepa Gupta, Ashok Gupta, Vibhor Gupta, Yike Guo
2021 J jnl
CoRR
Nguyen Truong, Gyu Myoung Lee, Kai Sun, Florian Guitton, Yike Guo
2021 J jnl
Future Gener. Comput. Syst.
Nguyen Truong, Gyu Myoung Lee, Kai Sun, Florian Guitton, Yike Guo
2021 J jnl
CoRR
Xiaoyu Zhang, Kai Sun, Yike Guo
2021 J jnl
Comput. Secur.
Nguyen Truong, Kai Sun, Siyao Wang, Florian Guitton, Yike Guo
2021 J jnl
Briefings Bioinform.
Eloise Withnell, Xiaoyu Zhang, Kai Sun, Yike Guo
2021 J jnl
CoRR
Eloise Withnell, Xiaoyu Zhang, Kai Sun, Yike Guo
2020 J jnl
IEEE Trans. Inf. Forensics Secur.
Nguyen Binh Truong, Kai Sun, Gyu Myoung Lee, Yike Guo
2020 J jnl
CoRR
Nguyen Truong, Kai Sun, Siyao Wang, Florian Guitton, Yike Guo
2019 B conf
NCA
Nguyen Binh Truong, Kai Sun, Yike Guo
2019 J jnl
CoRR
Nguyen Binh Truong, Kai Sun, Yike Guo
2019 J jnl
CoRR
Nguyen Binh Truong, Kai Sun, Gyu Myoung Lee, Yike Guo
2019 conf
BIBM
Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo
2019 J jnl
CoRR
Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo
2019 conf
BIBM
Jingqing Zhang, Xiaoyu Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo
2019 J jnl
CoRR
Jingqing Zhang, Xiaoyu Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo
2018 J jnl
BMC Syst. Biol.
Bertrand De Meulder, Diane Lefaudeux, Aruna T. Bansal, Alexander Mazein, Amphun Chaiboonchoe, Hassan Ahmed, Irina Balaur, Mansoor A. S. Saqi, Johann Pellet, Stéphane Ballereau, Nathanaël Lemonnier, Kai Sun, Ioannis Pandis, Xian Yang, Manohara Batuwitage, Kosmas Kretsos, Jonathan van Eyll, Alun Bedding, Timothy Davison, Paul Dodson, Christopher Larminie, Anthony D. Postle, Julie Corfield, Ratko Djukanovic, Kian Fan Chung, Ian M. Adcock, Yike Guo, Peter J. Sterk, Alexander Manta, Anthony Rowe, Frédéric Baribaud, Charles Auffray
2017 conf
IEEE BigData
Axel Oehmichen, Florian Guitton, Kai Sun, Jean Grizet, Thomas Heinis, Yike Guo
2016 ch.
Machine Learning for Health Informatics
Akara Supratak, Chao Wu, Hao Dong, Kai Sun, Yike Guo
2014 J jnl
BMC Bioinform.
Kai Sun, Joana P. Gonçalves, Chris Larminie, Natasa Przulj
2014
Kai Sun
2013 J jnl
Bioinform.
Wayne B. Hayes, Kai Sun, Natasa Przulj
redb/extractors/elf_extractors/elf_symbols.py
← Index redb/extractors/elf_extractors/elf_symbols.py python
import inspect
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 ELFSymbol


class ELFSymbolExtractor(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_symbols = []
        self.elastic_index = self.index_prefix + "-elf_symbols"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _map_symbol_type(self, st_type_str: str) -> int:
        """Map symbol type string to enum value."""
        type_map = {
            'STT_NOTYPE': 0,
            'STT_OBJECT': 1,
            'STT_FUNC': 2,
            'STT_SECTION': 3,
            'STT_FILE': 4,
            'STT_COMMON': 5,
            'STT_TLS': 6
        }
        return type_map.get(st_type_str, 0)

    def _map_symbol_bind(self, st_bind_str: str) -> int:
        """Map symbol binding string to enum value."""
        bind_map = {
            'STB_LOCAL': 0,
            'STB_GLOBAL': 1,
            'STB_WEAK': 2
        }
        return bind_map.get(st_bind_str, 0)

    def _map_symbol_visibility(self, st_vis_str: str) -> int:
        """Map symbol visibility string to enum value."""
        vis_map = {
            'STV_DEFAULT': 0,
            'STV_INTERNAL': 1,
            'STV_HIDDEN': 2,
            'STV_PROTECTED': 3
        }
        return vis_map.get(st_vis_str, 0)

    def _extract_symbol_data(self, symbol, is_dynamic: bool = False) -> Dict:
        """Extract data from a single symbol."""
        try:
            # Get symbol name (handle empty names)
            symbol_name = symbol.name if symbol.name else f"<unnamed_{symbol.entry.get('st_name', 0)}>"

            # Get symbol properties
            symbol_value = symbol.entry.get('st_value', 0)
            symbol_size = symbol.entry.get('st_size', 0)

            # Handle section index - can be integer or special string like 'SHN_UNDEF'
            st_shndx_raw = symbol.entry.get('st_shndx', 0)
            if isinstance(st_shndx_raw, str):
                # Map special section index strings to integers
                shndx_map = {
                    'SHN_UNDEF': 0,
                    'SHN_ABS': 65521,  # 0xFFF1
                    'SHN_COMMON': 65522,  # 0xFFF2
                    'SHN_XINDEX': 65535,  # 0xFFFF
                }
                symbol_section_index = shndx_map.get(st_shndx_raw, 0)
                symbol_section_index_str = st_shndx_raw.replace('SHN_', '') if st_shndx_raw.startswith('SHN_') else st_shndx_raw
            else:
                symbol_section_index = st_shndx_raw
                symbol_section_index_str = str(st_shndx_raw)

            # Get symbol type and map to enum
            st_type_str = symbol.entry.get('st_info', {}).get('type', 'STT_NOTYPE')
            symbol_type_enum = self._map_symbol_type(st_type_str)
            symbol_type_str = st_type_str.replace('STT_', '') if st_type_str.startswith('STT_') else st_type_str

            # Get symbol binding and map to enum
            st_bind_str = symbol.entry.get('st_info', {}).get('bind', 'STB_LOCAL')
            symbol_bind_enum = self._map_symbol_bind(st_bind_str)
            symbol_bind_str = st_bind_str.replace('STB_', '') if st_bind_str.startswith('STB_') else st_bind_str

            # Get symbol visibility and map to enum
            st_vis_str = symbol.entry.get('st_other', {}).get('visibility', 'STV_DEFAULT')
            symbol_visibility_enum = self._map_symbol_visibility(st_vis_str)
            symbol_visibility_str = st_vis_str.replace('STV_', '') if st_vis_str.startswith('STV_') else st_vis_str

            return ELFSymbol(
                symbol_name=symbol_name,
                symbol_value=symbol_value,
                symbol_size=symbol_size,
                symbol_type=symbol_type_enum,
                symbol_type_str=symbol_type_str,
                symbol_bind=symbol_bind_enum,
                symbol_bind_str=symbol_bind_str,
                symbol_visibility=symbol_visibility_enum,
                symbol_visibility_str=symbol_visibility_str,
                symbol_section_index=symbol_section_index,
                symbol_section_index_str=symbol_section_index_str,
                is_dynamic=1 if is_dynamic else 0
            )

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

    def _extract_symbols_from_section(self, elf, section_name: str, is_dynamic: bool = False) -> List[Dict]:
        """Extract symbols from a specific symbol table section."""
        symbols = []

        try:
            section = elf.get_section_by_name(section_name)
            if not section:
                self.log.debug(f"No {section_name} section found")
                return symbols

            if not hasattr(section, 'iter_symbols'):
                self.log.debug(f"Section {section_name} is not a symbol table")
                return symbols

            # Iterate through symbols in the section with per-symbol error handling
            for symbol_index, symbol in enumerate(section.iter_symbols()):
                try:
                    symbol_data = self._extract_symbol_data(symbol, is_dynamic)
                    if symbol_data:
                        symbols.append(symbol_data)
                except Exception as e:
                    self.log.warning(f"Error processing symbol {symbol_index} in {section_name}: {e}")
                    # Continue with other symbols

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

        return symbols

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

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

            def extract_data(elf):
                all_symbols = []

                # Extract static symbols from .symtab with individual error handling
                try:
                    static_symbols = self._extract_symbols_from_section(elf, '.symtab', is_dynamic=False)
                    all_symbols.extend(static_symbols)
                    self.log.debug(f"Extracted {len(static_symbols)} static symbols from .symtab")
                except Exception as e:
                    self.log.warning(f"Error extracting static symbols from .symtab: {e}")

                # Extract dynamic symbols from .dynsym with individual error handling
                try:
                    dynamic_symbols = self._extract_symbols_from_section(elf, '.dynsym', is_dynamic=True)
                    all_symbols.extend(dynamic_symbols)
                    self.log.debug(f"Extracted {len(dynamic_symbols)} dynamic symbols from .dynsym")
                except Exception as e:
                    self.log.warning(f"Error extracting dynamic symbols from .dynsym: {e}")

                return all_symbols

            if not self._is_elf_file():
                return None

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

            self.elf_symbols = result
            return self.elf_symbols

        except Exception as e:
            self.log.error(f"Error extracting ELF symbols {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_symbols
        elif exporter_type == "ClickHouseExporter":
            try:
                # Return valid empty structure if no symbols (e.g., stripped binary)
                # None is reserved for actual errors

                # Prepare data arrays for all symbols
                data = []
                current_time = datetime.now(timezone.utc)
                for symbol in self.elf_symbols:
                    row = [
                        self.sha256,
                        self.md5,
                        self.sha1,
                        symbol.symbol_name,
                        symbol.symbol_value,
                        symbol.symbol_size,
                        symbol.symbol_type,
                        symbol.symbol_type_str,
                        symbol.symbol_bind,
                        symbol.symbol_bind_str,
                        symbol.symbol_visibility,
                        symbol.symbol_visibility_str,
                        symbol.symbol_section_index,
                        symbol.symbol_section_index_str,
                        symbol.is_dynamic,
                        current_time
                    ]
                    data.append(row)

                column_names = [
                    'sha256', 'md5', 'sha1',
                    'symbol_name', 'symbol_value', 'symbol_size',
                    'symbol_type', 'symbol_type_str',
                    'symbol_bind', 'symbol_bind_str',
                    'symbol_visibility', 'symbol_visibility_str',
                    'symbol_section_index', 'symbol_section_index_str', 'is_dynamic',
                    'analysis_date'
                ]

                column_type_names = [
                    'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                    'LowCardinality(String)', 'UInt64', 'UInt64',
                    "Enum8('NOTYPE'=0, 'OBJECT'=1, 'FUNC'=2, 'SECTION'=3, 'FILE'=4, 'COMMON'=5, 'TLS'=6)",
                    'LowCardinality(String)',
                    "Enum8('LOCAL'=0, 'GLOBAL'=1, 'WEAK'=2)",
                    'LowCardinality(String)',
                    "Enum8('DEFAULT'=0, 'INTERNAL'=1, 'HIDDEN'=2, 'PROTECTED'=3)",
                    'LowCardinality(String)',
                    'UInt16', 'LowCardinality(String)', 'UInt8',
                    '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_symbols"