Xi Chen

35 papers A* 1B 6Misc 1Journal 17Unranked 10
YearRankTypeTitle / Venue / Authors
2024 J jnl
IEEE Trans. Pattern Anal. Mach. Intell.
Zhenchen Li, Xu Yang, Jiazheng Liu, Bei Hong, Yanchao Zhang, Hao Zhai, Lijun Shen, Xi Chen, Zhiyong Liu, Hua Han
2024 J jnl
CoRR
Bohao Chen, Yanchao Zhang, Yanan Lv, Hua Han, Xi Chen
2023 J jnl
Bioinform.
Tong Xin, Yanan Lv, Haoran Chen, Linlin Li, Lijun Shen, Guangcun Shan, Xi Chen, Hua Han
2022 J jnl
J. Bioinform. Comput. Biol.
Sheng Chang, Lijun Shen, Linlin Li, Xi Chen, Hua Han
2022 J jnl
BMC Bioinform.
Bei Hong, Jing Liu, Hao Zhai, Jiazheng Liu, Lijun Shen, Xi Chen, Qiwei Xie, Hua Han
2022 B conf
Image Processing
Bohao Chen, Tong Xin, Hua Han, Xi Chen
2021 J jnl
Biomed. Signal Process. Control.
Jing Liu, Bei Hong, Xi Chen, Qiwei Xie, Yuanyan Tang, Hua Han
2021 J jnl
BioData Min.
Zejin Wang, Jing Liu, Xi Chen, Guoqing Li, Hua Han
2021 B conf
ICIP
Tong Xin, Bohao Chen, Xi Chen, Hua Han
2021 J jnl
Comput. Methods Programs Biomed.
Chi Xiao, Xi Chen, Qiwei Xie, Guoqing Li, Hao Xiao, Jingdong Song, Hua Han
2020 J jnl
CoRR
Zejin Wang, Guoqing Li, Xi Chen, Hua Han
2020 J jnl
CoRR
Chang Shu, Xi Chen, Qiwei Xie, Chi Xiao, Hua Han
2020 Misc conf
ICASSP
Yanan Lv, Xi Chen, Chang Shu, Hua Han
2020 A* conf
IJCAI
Xi Chen, Hao Zhai, Danqian Liu, Weifu Li, Chaoyue Ding, Qiwei Xie, Hua Han
2019 J jnl
IEEE Trans. Consumer Electron.
Qiwei Xie, Xi Chen, Liming Zhang, An Jiang, Feng Cui
2019 conf
EMBC
Yi Jiang, Chi Xiao, Linlin Li, Xi Chen, Lijun Shen, Hua Han
2019 J jnl
Int. J. Inf. Technol. Decis. Mak.
Qiwei Xie, Xi Chen, Lin Li, Kaifeng Rao, Luo Tao, Chao Ma
2019 J jnl
IET Image Process.
Chong Yu, Xi Chen, Lei Yin, Chang Shu, Li Zhao, Hua Han
2019 conf
Digital Pathology
Xi Chen, Lijun Shen, Qiwei Xie, Hua Han
2018 conf
ICONIP (3)
Chang Shu, Xi Chen, Chong Yu, Hua Han
2018 B conf
Image Processing
Chi Xiao, Weifu Li, Xi Chen, Hua Han, Qiwei Xie
2018 conf
Digital Pathology
Chang Shu, Xi Chen, Qiwei Xie, Hua Han
2018 conf
ISBI
Chi Xiao, Jing Liu, Xi Chen, Hua Han, Chang Shu, Qiwei Xie
2018 J jnl
BMC Bioinform.
Chi Xiao, Weifu Li, Hao Deng, Xi Chen, Yang Yang, Qiwei Xie, Hua Han
2018 J jnl
CoRR
Chang Shu, Xi Chen, Qiwei Xie, Hua Han
2018 B conf
ICIP
Xi Chen, Qiwei Xie, Lijun Shen, Hua Han
2018 conf
ISBI
Chang Shu, Xi Chen, Qiwei Xie, Chi Xiao, Hua Han
2018 conf
BICS
Li Zhao, Xi Chen, Chang Shu, Chong Yu, Hua Han
2017 J jnl
BioData Min.
Qiwei Xie, Xi Chen, Hao Deng, Danqian Liu, Yingyu Sun, Xiaojuan Zhou, Yang Yang, Hua Han
2017 J jnl
J. Bioinform. Comput. Biol.
Weifu Li, Hao Deng, Qiang Rao, Qiwei Xie, Xi Chen, Hua Han
2017 B conf
Image Processing
Qiang Rao, Chi Xiao, Hua Han, Xi Chen, Lijun Shen, Qiwei Xie
2017 B conf
Image Processing
Huiwen Cao, Hua Han, Qiang Rao, Chi Xiao, Xi Chen
2015 conf
SITIS
Xi Chen, Qiwei Xie, Lijun Shen, Hua Han
2013 conf
HPCC/EUC
Qiwei Xie, An Jiang, Qian Long, Seiichi Mita, Xi Chen
2013 conf
WCSP
Qiwei Xie, Qian Long, Seiichi Mita, Xi Chen, An Jiang
redb/extractors/elf_extractors/elf_notes.py
← Index redb/extractors/elf_extractors/elf_notes.py python
import inspect
import binascii
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 ELFNote


class ELFNotesExtractor(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_notes = []
        self.elastic_index = self.index_prefix + "-elf_notes"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _get_note_type_string(self, note_type: int, note_name: str) -> str:
        """Convert note type number to human-readable string."""

        # GNU-specific note types
        if note_name == "GNU":
            gnu_types = {
                1: "NT_GNU_ABI_TAG",
                2: "NT_GNU_HWCAP",
                3: "NT_GNU_BUILD_ID",
                4: "NT_GNU_GOLD_VERSION",
                5: "NT_GNU_PROPERTY_TYPE_0"
            }
            return gnu_types.get(note_type, f"NT_GNU_UNKNOWN_{note_type}")

        # Generic note types
        generic_types = {
            1: "NT_PRSTATUS",
            2: "NT_FPREGSET",
            3: "NT_PRPSINFO",
            4: "NT_TASKSTRUCT",
            5: "NT_AUXV",
            6: "NT_PSTATUS",
            7: "NT_FPREGS",
            8: "NT_PSINFO",
            9: "NT_PRCRED",
            10: "NT_UTSNAME",
            11: "NT_LWPSTATUS",
            12: "NT_LWPSINFO",
            13: "NT_PRFPXREG"
        }

        return generic_types.get(note_type, f"NT_UNKNOWN_{note_type}")

    def _format_note_description(self, note_desc, note_type: int, note_name: str) -> str:
        """Format note description based on type for human readability."""
        try:
            if not note_desc:
                return ""

            # Handle build ID specifically (common case)
            if note_name == "GNU" and note_type == 3:  # NT_GNU_BUILD_ID
                if isinstance(note_desc, bytes):
                    return binascii.hexlify(note_desc).decode('ascii')
                return str(note_desc)

            # Handle ABI tag
            if note_name == "GNU" and note_type == 1:  # NT_GNU_ABI_TAG
                if isinstance(note_desc, bytes) and len(note_desc) >= 16:
                    # ABI tag contains OS, major, minor, subminor
                    import struct
                    try:
                        os_val, major, minor, subminor = struct.unpack('<IIII', note_desc[:16])
                        os_names = {0: "Linux", 1: "GNU", 2: "Solaris", 3: "FreeBSD"}
                        os_name = os_names.get(os_val, f"OS_{os_val}")
                        return f"{os_name} {major}.{minor}.{subminor}"
                    except:
                        pass

            # For binary data, convert to hex
            if isinstance(note_desc, bytes):
                # Limit size for very large descriptions
                if len(note_desc) > 256:
                    return binascii.hexlify(note_desc[:256]).decode('ascii') + "..."
                return binascii.hexlify(note_desc).decode('ascii')

            # For string data
            if isinstance(note_desc, str):
                return note_desc

            # Fallback
            return str(note_desc)

        except Exception as e:
            self.log.error(f"Error formatting note description: {e}")
            return str(note_desc) if note_desc else ""

    def _extract_note_data(self, note, section_name: str) -> ELFNote:
        """Extract data from a single note entry."""
        try:
            # Get note properties
            note_name = note.get('n_name', '').rstrip('\x00') if note.get('n_name') else ""
            note_type_raw = note.get('n_type', 0)
            note_desc_raw = note.get('n_desc', b'')

            # Handle note_type - pyelftools may return string or int
            if isinstance(note_type_raw, str):
                # pyelftools returned the type as a string like 'NT_GNU_BUILD_ID'
                note_type_str = note_type_raw
                # Map known string types to integers
                note_type_map = {
                    'NT_GNU_ABI_TAG': 1,
                    'NT_GNU_HWCAP': 2,
                    'NT_GNU_BUILD_ID': 3,
                    'NT_GNU_GOLD_VERSION': 4,
                    'NT_GNU_PROPERTY_TYPE_0': 5,
                    'NT_PRSTATUS': 1,
                    'NT_FPREGSET': 2,
                    'NT_PRPSINFO': 3,
                    'NT_TASKSTRUCT': 4,
                    'NT_AUXV': 5,
                    'NT_PSTATUS': 6,
                    'NT_FPREGS': 7,
                    'NT_PSINFO': 8,
                    'NT_PRCRED': 9,
                    'NT_UTSNAME': 10,
                    'NT_LWPSTATUS': 11,
                    'NT_LWPSINFO': 12,
                    'NT_PRFPXREG': 13,
                }
                note_type = note_type_map.get(note_type_raw, 0)
            else:
                note_type = note_type_raw
                # Get human-readable type string
                note_type_str = self._get_note_type_string(note_type, note_name)

            # Format description
            note_desc = self._format_note_description(note_desc_raw, note_type, note_name)

            return ELFNote(
                note_name=note_name,
                note_type=note_type,
                note_type_str=note_type_str,
                note_desc=note_desc,
                note_section=section_name
            )

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

    def _extract_notes_from_sections(self, elf) -> List[Dict]:
        """Extract notes from note sections."""
        notes = []

        try:
            # Look for note sections
            for section in elf.iter_sections():
                if (section.name and
                    section.name.startswith('.note') and
                    hasattr(section, 'iter_notes')):

                    section_name = section.name
                    try:
                        for note in section.iter_notes():
                            note_data = self._extract_note_data(note, section_name)
                            if note_data:
                                notes.append(note_data)
                    except Exception as e:
                        self.log.debug(f"Could not process notes in section {section_name}: {e}")

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

        return notes

    def _extract_notes_from_segments(self, elf) -> List[Dict]:
        """Extract notes from PT_NOTE segments."""
        notes = []

        try:
            # Look for PT_NOTE segments
            for segment in elf.iter_segments():
                if segment.header.get('p_type') == 'PT_NOTE':
                    segment_name = f"PT_NOTE_segment_{segment.header.get('p_offset', 0)}"

                    try:
                        if hasattr(segment, 'iter_notes'):
                            for note in segment.iter_notes():
                                note_data = self._extract_note_data(note, segment_name)
                                if note_data:
                                    notes.append(note_data)
                    except Exception as e:
                        self.log.debug(f"Could not process notes in segment: {e}")

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

        return notes

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

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

            def extract_data(elf):
                all_notes = []

                # Extract notes from note sections
                section_notes = self._extract_notes_from_sections(elf)
                all_notes.extend(section_notes)

                # Extract notes from PT_NOTE segments
                segment_notes = self._extract_notes_from_segments(elf)
                all_notes.extend(segment_notes)

                # Remove duplicates (same note might appear in section and segment)
                unique_notes = []
                seen_notes = set()
                for note in all_notes:
                    note_key = (note.note_name, note.note_type, note.note_desc)
                    if note_key not in seen_notes:
                        seen_notes.add(note_key)
                        unique_notes.append(note)

                return unique_notes

            if not self._is_elf_file():
                return None

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

            self.elf_notes = result
            return self.elf_notes

        except Exception as e:
            self.log.error(f"Error extracting ELF notes {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_notes
        elif exporter_type == "ClickHouseExporter":
            try:
                # Return valid empty structure if no notes found
                # None is reserved for actual errors

                # Prepare data arrays for all notes
                data = []
                current_time = datetime.now(timezone.utc)
                for note in self.elf_notes:
                    row = [
                        self.sha256,
                        self.md5,
                        self.sha1,
                        note.note_name,
                        note.note_type,
                        note.note_type_str,
                        note.note_desc,
                        note.note_section,
                        current_time
                    ]
                    data.append(row)

                column_names = [
                    'sha256', 'md5', 'sha1',
                    'note_name', 'note_type', 'note_type_str',
                    'note_desc', 'note_section',
                    'analysis_date'
                ]

                if not data:
                    return None

                column_type_names = [
                    'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                    'LowCardinality(String)', 'UInt32', 'LowCardinality(String)',
                    'String CODEC(ZSTD(3))', '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_notes"