Xiangjun Peng

37 papers A* 4C 1Misc 1Journal 15Unranked 16
YearRankTypeTitle / Venue / Authors
2024 A* conf
NeurIPS
Junyu Liu, Xiangjun Peng
2024 J jnl
CoRR
Junyu Liu, Wangkai Jin, Xiangjun Peng
2024 J jnl
CoRR
Xiangjun Peng
2024 J jnl
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Tsun-Yu Yang, Xiangjun Peng, Wang Kang, Ming-Chang Yang
2024 Misc conf
OZCHI
Stephen Snow, Awais Hameed Khan, Ben Matthews, Inmaculada Rodríguez, Audrey Desjardins, Ayanna Seals, Omar Sosa-Tzec, Anh-Ton Tran, James Pierce, Xiangjun Peng, Stephen Viller
2024 J jnl
CoRR
Xiangjun Peng
2023 conf
HCI (39)
Junyu Liu, Yicun Duan, Zhuoran Bi, Xiaoxing Ming, Wangkai Jin, Zilin Song, Xiangjun Peng
2023 A* conf
HPCA
Xiangjun Peng, Yaohua Wang, Ming-Chang Yang
2023 conf
HCI (38)
Yicun Duan, Junyu Liu, Xiaoxing Ming, Wangkai Jin, Zilin Song, Xiangjun Peng
2023 conf
DSN-S
Xiangjun Peng, Zheng Huang, Alex Cantrell, Bihua Shu, Ke Ke Xie, Yi Li, Yu Li, Li Jiang, Qiang Xu, Ming-Chang Yang
2023 conf
HCI (47)
Xiaoxing Ming, Yicun Duan, Junyu Liu, Zhuoran Bi, Haoxuan Sun, Zilin Song, Xiangjun Peng, Wangkai Jin
2023 conf
HCI (39)
Zhuoran Bi, Xiaoxing Ming, Junyu Liu, Xiangjun Peng, Wangkai Jin
2023 J jnl
CoRR
Xiangjun Peng
2023 conf
SIGMETRICS (Abstracts)
Wangkai Jin, Xiangjun Peng
2023 J jnl
Proc. ACM Meas. Anal. Comput. Syst.
Wangkai Jin, Xiangjun Peng
2022 J jnl
CoRR
Wangkai Jin, Yicun Duan, Junyu Liu, Shuchang Huang, Zeyu Xiong, Xiangjun Peng
2022 J jnl
CoRR
Yicun Duan, Junyu Liu, Wangkai Jin, Xiangjun Peng
2022 conf
HCI (34)
Zeyu Xiong, Jiahao Wang, Wangkai Jin, Junyu Liu, Yicun Duan, Zilin Song, Xiangjun Peng
2022 J jnl
CoRR
Junyu Liu, Wangkai Jin, Zhenyong He, Xiaoxing Ming, Yicun Duan, Zeyu Xiong, Xiangjun Peng
2022 conf
HCI (34)
Zilin Song, Yicun Duan, Wangkai Jin, Shuchang Huang, Shuolei Wang, Xiangjun Peng
2022 conf
HCI (34)
Shuolei Wang, Junyu Liu, Haoxuan Sun, Xiaoxing Ming, Wangkai Jin, Zilin Song, Xiangjun Peng
2022 A* conf
DAC
Xiangjun Peng, Ming-Chang Yang, Ho Ming Tsui, Chi Ngai Leung, Wang Kang
2021 conf
HCI (30)
Yu Zhang, Wangkai Jin, Zeyu Xiong, Zhihao Li, Yuyang Liu, Xiangjun Peng
2021 J jnl
CoRR
Wangkai Jin, Junyu Liu, Jianfeng Ren, Xiangjun Peng
2021 conf
AutomotiveUI (adjunct)
Jiahao Wang, Zeyu Xiong, Yicun Duan, Junyu Liu, Zilin Song, Xiangjun Peng
2021 conf
AutomotiveUI (adjunct)
Wangkai Jin, Xiaoxing Ming, Zilin Song, Zeyu Xiong, Xiangjun Peng
2020 J jnl
CoRR
Xiangjun Peng, Zhentao Huang, Xu Sun
2020 conf
HCI (5)
Xiangjun Peng, Hongzhi Zhang, Xiaosong Zhou, Shuolei Wang, Xu Sun, Qingfeng Wang
2020 conf
HCI (5)
Xiangjun Peng, Zhentao Huang, Chen Yang, Zilin Song, Xu Sun
2020 J jnl
Cogn. Comput.
Xu Sun, Jingpeng Li, Pinyan Tang, Siyuan Zhou, Xiangjun Peng, Hao Nan Li, Qingfeng Wang
2020 A* conf
MICRO
Yaohua Wang, Lois Orosa, Xiangjun Peng, Yang Guo, Saugata Ghose, Minesh Patel, Jeremie S. Kim, Juan Gómez-Luna, Mohammad Sadrosadati, Nika Mansouri-Ghiasi, Onur Mutlu
2020 J jnl
CoRR
Yaohua Wang, Lois Orosa, Xiangjun Peng, Yang Guo, Saugata Ghose, Minesh Patel, Jeremie S. Kim, Juan Gómez-Luna, Mohammad Sadrosadati, Nika Mansouri-Ghiasi, Onur Mutlu
2020 conf
AutomotiveUI (adjunct)
Zhentao Huang, Rongze Li, Wangkai Jin, Zilin Song, Yu Zhang, Xiangjun Peng, Xu Sun
2019 conf
AutomotiveUI (adjunct)
Zili Song, Shuolei Wang, Weikai Kong, Xiangjun Peng, Xu Sun
2019 C conf
PDCAT
Xiangjun Peng, Qingfeng Wang, Xu Sun, Chunye Gong, Yaohua Wang
2018 J jnl
J. Inf. Hiding Multim. Signal Process.
Xiangjun Peng, Guoping Zeng
2012 J jnl
J. Softw.
Xiangjun Peng
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"