Wei Yan

45 papers A* 1A 1B 6C 4Misc 6Journal 8Unranked 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Internet Things J.
Can Su, Xinlei Xue, Lei Ma, Xiaolong Zhang, Wei Yan, Kaigui Bian
2021 A* conf
IJCAI
Pengyu Zhao, Kecheng Xiao, Yuanxing Zhang, Kaigui Bian, Wei Yan
2020 J jnl
CoRR
Pengyu Zhao, Kecheng Xiao, Yuanxing Zhang, Kaigui Bian, Wei Yan
2019 Misc conf
ICASSP
Jun Xiao, Yuanxing Zhang, Kaigui Bian, Guopeng Zhou, Wei Yan
2019 conf
BigCom
Zhaoqian Lan, Guopeng Zhou, Yuanxing Zhang, Yichun Duan, Wei Yan, Chunhua Chi
2019 B conf
GLOBECOM
Kecheng Xiao, Pengyu Zhao, Yuanxing Zhang, Yanzhou Li, Kaigui Bian, Wei Yan
2019 A conf
CIKM
Jun Xiao, Yuanxing Zhang, Pengyu Zhao, Kecheng Xiao, Kaigui Bian, Chunli Zhang, Wei Yan
2019 J jnl
Wirel. Pers. Commun.
Meng Tong, Yu Tao, Yuanxing Zhang, Kaigui Bian, Wei Yan
2018 conf
DSC
Zhaoqian Lan, Guopeng Zhou, Yichun Duan, Wei Yan
2018 conf
DSC
Yichun Duan, Guopeng Zhou, Yuanxing Zhang, Zhaoqian Lan, Chunhua Chi, Wei Yan
2017 B conf
GLOBECOM
Yichun Duan, Yuanxing Zhang, Chengliang Gao, Meng Tong, Yuanyuan Zhang, Kaigui Bian, Wei Yan
2017 J jnl
IEEE Trans. Mob. Comput.
Peng Zhao, Kaigui Bian, Tong Zhao, Xintong Song, Jung-Min "Jerry" Park, Xiaoming Li, Fan Ye, Wei Yan
2016 conf
VTC Fall
Tong Zhao, Yuan Yuan, Yichun Duan, Wei Yan, Ching-Yao Chan
2016 B conf
WCNC
Chaoyi Bian, Tong Zhao, Xiaoming Li, Xiaojiang Du, Mohsen Guizani, Wei Yan
2016 J jnl
Wirel. Commun. Mob. Comput.
Chaoyi Bian, Tong Zhao, Xiaoming Li, Xiaojiang Du, Wei Yan
2016 conf
VTC Fall
Peng Zhao, Kaigui Bian, Ping Chen, Tong Zhao, Yichun Duan, Wei Yan
2015 J jnl
Secur. Commun. Networks
Tong Zhao, Shanbo Lu, Wei Yan, Xiaoming Li
2015 J jnl
Veh. Commun.
Chaoyi Bian, Tong Zhao, Xiaoming Li, Wei Yan
2015 C conf
LANMAN
Chaoyi Bian, Tong Zhao, Xiaoming Li, Wei Yan
2015 conf
ICC
Hongji Yang, Lin Chen, Kaigui Bian, Yang Tian, Fan Ye, Wei Yan, Tong Zhao, Xiaoming Li
2015 B conf
GLOBECOM
Wenshan Fu, Kaigui Bian, Tong Zhao, Wei Yan
2014 Misc conf
ICNC
Yuan Yuan, Jie Luo, Wei Yan, Tong Zhao, Shanbo Lu
2014 Misc conf
ICNC
Lunbo Xu, Shunyang Li, Kaigui Bian, Tong Zhao, Wei Yan
2013 conf
ICoC
Tong Zhao, Shanbo Lu, Wei Yan, Xiaoming Li
2013 Misc conf
ICNC
Tong Zhao, Shanbo Lu, Wei Yan, Xiaoming Li
2013 conf
VTC Spring
Yuan Yuan, Chaoyi Bian, Tong Zhao, Wei Yan
2013 Misc conf
ICNC
Shuai Zhao, Le Chang, Tong Zhao, Wei Yan
2013 conf
CRAB@MobiCom
Lin Chen, Kaigui Bian, Lin Chen, Wei Yan, Xiaoming Li
2013 Misc conf
ICNC
Chaoyi Bian, Shanbo Lu, Tong Zhao, Xiaoming Li, Wei Yan
2013 conf
ICoC
Wenshan Fu, Tong Zhao, Kaigui Bian, Wei Yan
2011 conf
CCNC
Tong Zhao, Zhongyi Liu, Wei Yan, Xiaoming Li
2011 conf
VTC Spring
Xin Jin, Weijie Su, Wei Yan
2011 conf
ICC
Chaoyi Bian, Xin Jin, Chao Liu, Xiaoming Li, Wei Yan
2010 conf
VTC Fall
Jie Luo, Xinxing Gu, Tong Zhao, Wei Yan
2009 conf
VTC Fall
Zhongyi Liu, Jin-Guo Zhou, Tong Zhao, Wei Yan
2009 J jnl
Wirel. Sens. Netw.
Zhongyi Liu, Bin Liu, Wei Yan
2007 C conf
ISPA
Chao Liu, Zhongyi Liu, Yongqiang Liu, Huizhou Zhao, Tong Zhao, Wei Yan
2007 conf
Mobility Conference
Yongqiang Liu, Tong Zhao, Zhongyi Liu, Wei Yan, Xiaoming Li
2007 B conf
GLOBECOM
Maoshen Ren, Chao Liu, Huizhou Zhao, Tong Zhao, Wei Yan
2006 B conf
LCN
Huizhou Zhao, Wei Yan, Tong Zhao, Xiaoming Li
2005 conf
ICCNMC
Wei Yan, Cheng Yuan, Ren Maosheng
2005 conf
ICCNMC
Hao Wang, Wei Yan
2005 C conf
ISPA
Yongqiang Liu, Wei Yan, Yafei Dai
2005 C conf
NPC
Yongqiang Liu, Wei Yan, Yafei Dai
2004 conf
ISPAN
Li Zhang, Weijia Jia, Wei Yan, Xiaoming Li
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"