Kaixin Ji

28 papers A* 2A 1B 2Journal 17Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Akshat Choube, Ha Le, Jiachen Li, Kaixin Ji, Vedant Das Swain, Varun Mishra
2025 J jnl
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Akshat Choube, Ha Le, Jiachen Li, Kaixin Ji, Vedant Das Swain, Varun Mishra
2025 B conf
CHIIR
Jacek Gwizdka, Javed Mostafa, Min Zhang, Kaixin Ji, Yashar Moshfeghi, Tuukka Ruotsalo, Damiano Spina
2025 J jnl
SIGIR Forum
Damiano Spina, Jacek Gwizdka, Kaixin Ji, Yashar Moshfeghi, Javed Mostafa, Tuukka Ruotsalo, Min Zhang, Adnan Ahmad, Sara Fahad Dawood Al Lawati, Nattapat Boonprakong, Nishani Fernando, Jiaman He, Orland Hoeber, Gavindya Jayawardena, Boon-Giin Lee, Haiming Liu, Matthew Pike, Abbas Pirmoradi, Bahareh Nakisa, Mohammad Naim Rastgoo, Flora D. Salim, Fletcher Scott, Shuoqi Sun, Huimin Tang, Dave Towey, Max L. Wilson
2025 J jnl
CoRR
Kaixin Ji, Danula Hettiachchi, Falk Scholer, Flora D. Salim, Damiano Spina
2025 J jnl
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Kaixin Ji, Danula Hettiachchi, Falk Scholer, Flora D. Salim, Damiano Spina
2024 conf
UbiComp Companion
Nattapat Boonprakong, Kaixin Ji, Ziyi Ye, Benjamin Tag, Damiano Spina, Tuukka Ruotsalo, Flora D. Salim
2024 A* conf
SIGIR
Kaixin Ji, Danula Hettiachchi, Flora D. Salim, Falk Scholer, Damiano Spina
2024 J jnl
CoRR
Kaixin Ji, Danula Hettiachchi, Flora D. Salim, Falk Scholer, Damiano Spina
2024 conf
UbiComp Companion
Elham Naghizade, Kaixin Ji, Benjamin Tag, Flora Salim
2024 J jnl
CoRR
Elham Naghizade, Kaixin Ji, Benjamin Tag, Flora D. Salim
2024 J jnl
SIGIR Forum
Timo Breuer, Christin Katharina Kreutz, Norbert Fuhr, Krisztian Balog, Philipp Schaer, Nolwenn Bernard, Ingo Frommholz, Marcel Gohsen, Kaixin Ji, Gareth J. F. Jones, Jüri Keller, Jiqun Liu, Martin Mladenov, Gabriella Pasi, Johanne R. Trippas, Xi Wang, Saber Zerhoudi, ChengXiang Zhai
2024 J jnl
CoRR
Timo Breuer, Christin Katharina Kreutz, Norbert Fuhr, Krisztian Balog, Philipp Schaer, Nolwenn Bernard, Ingo Frommholz, Marcel Gohsen, Kaixin Ji, Gareth J. F. Jones, Jüri Keller, Jiqun Liu, Martin Mladenov, Gabriella Pasi, Johanne R. Trippas, Xi Wang, Saber Zerhoudi, ChengXiang Zhai
2024 conf
MobileHCI (Companion)
Kaixin Ji, Sachin Pathiyan Cherumanal, Johanne R. Trippas, Danula Hettiachchi, Flora D. Salim, Falk Scholer, Damiano Spina
2024 J jnl
CoRR
Kaixin Ji, Sachin Pathiyan Cherumanal, Johanne R. Trippas, Danula Hettiachchi, Flora D. Salim, Falk Scholer, Damiano Spina
2024 B conf
CHIIR
Sachin Pathiyan Cherumanal, Lin Tian, Futoon M. Abushaqra, Angel Felipe Magnossão de Paula, Kaixin Ji, Halil Ali, Danula Hettiachchi, Johanne R. Trippas, Falk Scholer, Damiano Spina
2024 J jnl
CoRR
Sachin Pathiyan Cherumanal, Lin Tian, Futoon M. Abushaqra, Angel Felipe Magnossão de Paula, Kaixin Ji, Danula Hettiachchi, Johanne R. Trippas, Halil Ali, Falk Scholer, Damiano Spina
2023 A conf
CIKM
Danula Hettiachchi, Kaixin Ji, Jenny Kennedy, Anthony McCosker, Flora D. Salim, Mark Sanderson, Falk Scholer, Damiano Spina
2023 J jnl
CoRR
Danula Hettiachchi, Kaixin Ji, Jenny Kennedy, Anthony McCosker, Flora Dylis Salim, Mark Sanderson, Falk Scholer, Damiano Spina
2023 A* conf
SIGIR
Kaixin Ji, Damiano Spina, Danula Hettiachchi, Flora Dilys Salim, Falk Scholer
2023 J jnl
CoRR
Kaixin Ji, Damiano Spina, Danula Hettiachchi, Flora Dilys Salim, Falk Scholer
2023 J jnl
CoRR
Nan Gao, Sam Nolan, Kaixin Ji, Shakila Khan Rumi, Judith Simone Heinisch, Christoph Anderson, Klaus David, Flora D. Salim
2023 conf
UbiComp/ISWC Adjunct
Kaixin Ji
2023 conf
NTCIR
Sachin Pathiyan Cherumanal, Kaixin Ji, Danula Hettiachchi, Johanne R. Trippas, Falk Scholer, Damiano Spina
2023 conf
UbiComp/ISWC Adjunct
Kaixin Ji, Damiano Spina, Danula Hettiachchi, Falk Scholer, Flora D. Salim
2023 J jnl
CoRR
Yonchanok Khaokaew, Thuc Hanh Nguyen, Kaixin Ji, Hiruni Kegalle, Marwah Alaofi
2022 J jnl
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Nan Gao, Mohammad Saiedur Rahaman, Wei Shao, Kaixin Ji, Flora D. Salim
2021 J jnl
CoRR
Nan Gao, Mohammad Saiedur Rahaman, Wei Shao, Kaixin Ji, Flora D. Salim
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"