Kaiyu Guan

33 papers A* 4C 2Journal 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
Int. J. Appl. Earth Obs. Geoinformation
Qu Zhou, Kaiyu Guan, Sheng Wang, Xiaocui Wu, Samuel Stroebel, James Hipple
2025 J jnl
IEEE Trans. Geosci. Remote. Sens.
Qu Zhou, Kaiyu Guan, Sheng Wang, James Hipple, Zhangliang Chen
2025 J jnl
CoRR
Tianhang Cheng, Albert J. Zhai, Evan Z. Chen, Rui Zhou, Yawen Deng, Zitong Li, Kejie Zhao, Janice Shiu, Qianyu Zhao, Yide Xu, Xinlei Wang, Yuan Shen, Sheng Wang, Lisa Ainsworth, Kaiyu Guan, Shenlong Wang
2025 J jnl
Int. J. Appl. Earth Obs. Geoinformation
Jiaying Zhang, Kaiyu Guan, Zhangliang Chen, Yizhi Huang, Kejie Zhao, Bin Peng, Sheng Wang, Xiaocui Wu, Sibo Wang, Arindam Banerjee, Noemi Vergopolan, Rong Fu, Siyu Zhao, Joana Colussi
2024 J jnl
CoRR
Albert J. Zhai, Xinlei Wang, Kaiyuan Li, Zhao Jiang, Junxiong Zhou, Sheng Wang, Zhenong Jin, Kaiyu Guan, Shenlong Wang
2024 J jnl
Int. J. Appl. Earth Obs. Geoinformation
Kaiyuan Li, Chongya Jiang, Kaiyu Guan, Genghong Wu, Zewei Ma, Ziyi Li
2024 A* conf
CVPR
Albert J. Zhai, Yuan Shen, Emily Y. Chen, Gloria X. Wang, Xinlei Wang, Sheng Wang, Kaiyu Guan, Shenlong Wang
2024 J jnl
CoRR
Albert J. Zhai, Yuan Shen, Emily Y. Chen, Gloria X. Wang, Xinlei Wang, Sheng Wang, Kaiyu Guan, Shenlong Wang
2024 J jnl
CoRR
Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang
2023 C conf
IGARSS
Qu Zhou, Sheng Wang, Kaiyu Guan
2023 J jnl
Remote. Sens.
Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
2023 A* conf
KDD
Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong
2023 J jnl
CoRR
Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew J. Margenot, Hanghang Tong
2023 A* conf
NeurIPS
Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang
2022 J jnl
CoRR
Jun Wu, Elizabeth A. Ainsworth, Sheng Wang, Kaiyu Guan, Jingrui He
2022 A* conf
NeurIPS
Jun Wu, Jingrui He, Sheng Wang, Kaiyu Guan, Elizabeth A. Ainsworth
2022 J jnl
Int. J. Appl. Earth Obs. Geoinformation
Maxwell Jong, Kaiyu Guan, Sibo Wang, Yizhi Huang, Bin Peng
2022 J jnl
CoRR
Baoyu Jing, Si Zhang, Yada Zhu, Bin Peng, Kaiyu Guan, Andrew Margenot, Hanghang Tong
2021 J jnl
Int. J. Appl. Earth Obs. Geoinformation
Sheng Wang, Kaiyu Guan, Zhihui Wang, Elizabeth A. Ainsworth, Ting Zheng, Philip A. Townsend, Nanfeng Liu, Emerson Nafziger, Michael D. Masters, Kaiyuan Li, Genghong Wu, Chongya Jiang
2021 J jnl
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Kaiyuan Li, Kaiyu Guan, Chongya Jiang, Sheng Wang, Bin Peng, Yaping Cai
2021 J jnl
Frontiers Artif. Intell.
Tianfang Xu, Kaiyu Guan, Bin Peng, Shiqi Wei, Lei Zhao
2021 J jnl
Remote. Sens.
Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
2020 J jnl
Int. J. Appl. Earth Obs. Geoinformation
Bin Peng, Kaiyu Guan, Wang Zhou, Chongya Jiang, Christian Frankenberg, Ying Sun, Liyin He, Philipp Köhler
2020 J jnl
Remote. Sens.
Yunan Luo, Kaiyu Guan, Jian Peng, Sibo Wang, Yizhi Huang
2020 J jnl
Remote. Sens.
Robert F. Paul, Yaping Cai, Bin Peng, Wendy H. Yang, Kaiyu Guan, Evan H. DeLucia
2020 J jnl
Remote. Sens.
Yun Gao, Songhan Wang, Kaiyu Guan, Aleksandra Wolanin, Liangzhi You, Weimin Ju, Yongguang Zhang
2019 J jnl
CoRR
Ke Xu, Kaiyu Guan, Jian Peng, Yunan Luo, Sibo Wang
2019 J jnl
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yaping Cai, Kaiyu Guan, Emerson Nafziger, Girish Chowdhary, Bin Peng, Zhenong Jin, Shaowen Wang, Sibo Wang
2018 J jnl
Sensors
Xi Yang, Hanyu Shi, Atticus E. L. Stovall, Kaiyu Guan, Guofang Miao, Yongguang Zhang, Yao Zhang, Xiangming Xiao, Youngryel Ryu, Jung-Eun Lee
2018 C conf
IGARSS
John A. Gamon, Gabriel Hmimina, Guofang Miao, Kaiyu Guan, Kyle R. Springer, Ran Wang, Rong Yu, Hamed Gholizadeh, Ryan Moore, Elizabeth Walter-Shea, Timothy J. Arkebauer, Andy Suyker, Trenton Franz, Brian D. Wardlow, David Wedin
2018 J jnl
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Kaiyu Guan, Zhan Li, Lakshman Nagraj Rao, Feng Gao, Donghui Xie, Ngo The Hien, Zhenzhong Zeng
2017 J jnl
Remote. Sens.
Nima Madani, John S. Kimball, Lucas A. Jones, Nicholas C. Parazoo, Kaiyu Guan
2014 J jnl
IEEE Trans. Geosci. Remote. Sens.
Kaiyu Guan, David Medvigy, Eric F. Wood, Kelly K. Caylor, Shi Li, Su-Jong Jeong
redb/extractors/macho_extractors/macho_segments.py
← Index redb/extractors/macho_extractors/macho_segments.py python
import hashlib
import inspect
import base64
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.macho_extractor import MachOExtractor
from redb.models.dataclasses import MachOSegment


class MachOSegmentExtractor(MachOExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        macho=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            macho,
        )
        self.elastic_index = self.index_prefix + "-macho_segments"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _is_empty_result(self, extracted_data) -> bool:
        """
        Override: Empty segments is an ERROR, not a valid empty case.
        A valid MachO file must have segments (at minimum __PAGEZERO, __TEXT).
        """
        # Always return False - empty segments should be treated as an error
        return False

    def tag(self):
        return Tag.MACHO_SEGMENT.value

    def _extract_segments_for_arch(self, arch_name):
        """Extract segment information for a specific architecture."""
        self.log.debug(f"Extracting segments for architecture: {arch_name}")
        segments = []

        try:
            # Get segments using new API with architecture parameter
            segments_data = self.macho.get_segments(arch=arch_name)
            if not segments_data:
                return segments

            # Extract segments for this architecture
            for segment in segments_data:
                try:
                    segment_name = segment.get('segname', 'Unknown')

                    # Calculate segment hash
                    segment_data = self._get_segment_data(segment)
                    if segment_data:
                        seg_sha256 = hashlib.sha256(segment_data).hexdigest()
                    else:
                        seg_sha256 = ""

                    # Use entropy already calculated by machofile module, rounded to 3 decimal places
                    seg_entropy = round(segment.get('entropy', 0.0), 3)

                    # Create segment dataclass with architecture info
                    macho_segment = MachOSegment(
                        segment_name=segment_name,
                        segment_vaddr=segment.get('vaddr', 0),
                        segment_vsize=segment.get('vsize', 0),
                        segment_offset=segment.get('offset', 0),
                        segment_size=segment.get('size', 0),
                        segment_max_vm_protection=segment.get('max_vm_protection', 0),
                        segment_initial_vm_protection=segment.get('initial_vm_protection', 0),
                        segment_nsects=segment.get('nsects', 0),
                        segment_flags=segment.get('flags', 0),
                        segment_entropy=seg_entropy,
                        segment_sha256=seg_sha256,
                    )
                    # Add architecture info to the segment
                    macho_segment.architecture = arch_name
                    segments.append(macho_segment)

                except Exception as e:
                    self.log.warning(
                        f'Unable to process segment "{segment.get("segname", "Unknown")}" for architecture {arch_name} in {self.hash.sha256}: {e}'
                    )
                    continue

            return segments

        except Exception as e:
            self.log.error(f"Error extracting MachO segments for architecture {arch_name}: {e}")
            return segments

    def _extract_segments(self):
        """Extract segment information from all architectures in the MachO binary."""
        self.log.debug(inspect.currentframe().f_code.co_name)
        segments = []

        if not self.macho:
            return segments

        try:
            # Get architectures using new API (already parsed in base class)
            architectures = self.macho.get_architectures()
            if not architectures:
                return segments

            # Process each architecture
            for arch_name in architectures:
                arch_segments = self._extract_segments_for_arch(arch_name)
                segments.extend(arch_segments)

            return segments

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

    def _get_segment_data(self, segment):
        """Get the raw data for a segment."""
        try:
            offset = segment.get('offset', 0)
            size = segment.get('size', 0)
            
            if size == 0:
                return None
            
            # Read segment data from file
            with open(self.filepath, 'rb') as f:
                f.seek(offset)
                return f.read(size)
                
        except Exception as e:
            self.log.warning(f"Error reading segment data: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            segments = self._extract_segments()
            return segments
        except Exception as e:
            self.log.error(f"Error extracting MachO segments: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            if not self.macho:
                return None

            # Get architectures (macho is already parsed in base class)
            try:
                architectures = self.macho.get_architectures()
                is_fat = len(architectures) > 1
            except Exception as e:
                self.log.error(f"Could not get architectures: {e}")
                return None

            data = []
            current_time = datetime.now(timezone.utc)

            # Loop through each architecture (1 for single, multiple for FAT)
            for arch_name in architectures:
                # Extract segments for this specific architecture
                segments = self._extract_segments_for_arch(arch_name)
                if not segments:
                    continue

                # Get architecture-specific sha256 and header info
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)

                    # Get raw architecture value
                    arch_header_raw = self.macho.get_macho_header(arch=arch_name)
                    arch_cputype_raw = arch_header_raw.get('cputype', 0) if arch_header_raw else 0
                except Exception as e:
                    self.log.warning(f"Could not get arch-specific data for {arch_name}: {e}")
                    arch_sha256 = self.sha256
                    arch_cputype_raw = 0

                for segment in segments:
                    data.append([
                        arch_sha256,                          # sha256 (architecture-specific)
                        segment.segment_name,                 # segment_name
                        segment.segment_vaddr,                # segment_vaddr
                        segment.segment_vsize,                # segment_vsize
                        segment.segment_offset,               # segment_offset
                        segment.segment_size,                 # segment_size
                        segment.segment_max_vm_protection,    # segment_max_vm_protection
                        segment.segment_initial_vm_protection, # segment_initial_vm_protection
                        segment.segment_nsects,               # segment_nsects
                        segment.segment_flags,                # segment_flags
                        segment.segment_entropy,              # segment_entropy
                        segment.segment_sha256,               # segment_sha256
                        current_time,                         # analysis_date
                    ])

            column_names = [
                'sha256',
                'segment_name', 'segment_vaddr', 'segment_vsize', 'segment_offset',
                'segment_size', 'segment_max_vm_protection', 'segment_initial_vm_protection',
                'segment_nsects', 'segment_flags', 'segment_entropy', 'segment_sha256',
                'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)',
                'String', 'UInt64', 'UInt64', 'UInt64',
                'UInt64', 'UInt32', 'UInt32',
                'UInt32', 'UInt32', 'Float64', 'FixedString(64)',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

    def get_clickhouse_table(self) -> str:
        return "redb_macho_segments"