Weifeng Ou

25 papers A* 1A 1Misc 2Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A conf
WACV
Mingjie Xu, Mengyang Wu, Yuzhi Zhao, Jason Chun Lok Li, Weifeng Ou
2024 J jnl
IEEE Trans. Biom. Behav. Identity Sci.
Weifeng Ou, Lai-Man Po, Xiu-Feng Huang, Wing Yin Yu, Yuzhi Zhao
2024 Misc conf
ICASSP
Weifeng Ou, Lai-Man Po, Xiu-Feng Huang
2024 J jnl
CoRR
Mingjie Xu, Mengyang Wu, Yuzhi Zhao, Jason Chun Lok Li, Weifeng Ou
2024 Misc conf
ICASSP
Xiu-Feng Huang, Lai-Man Po, Weifeng Ou
2024 J jnl
CoRR
Xiu-Feng Huang, Lai-Man Po, Weifeng Ou
2023 J jnl
Expert Syst. Appl.
Jingjing Xiong, Lai-Man Po, Wing Yin Yu, Chang Zhou, Pengfei Xian, Weifeng Ou
2023 J jnl
IEEE Trans. Multim.
Yuzhi Zhao, Lai-Man Po, Xuehui Wang, Qiong Yan, Wei Shen, Yujia Zhang, Wei Liu, Chun Kit Wong, Chiu-Sing Pang, Weifeng Ou, Wing Yin Yu, Buhua Liu
2023 J jnl
IEEE Trans. Multim.
Yuzhi Zhao, Lai-Man Po, Wing Yin Yu, Yasar Abbas Ur Rehman, Mengyang Liu, Yujia Zhang, Weifeng Ou
2022 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Chang Zhou, Lai Man Po, Weifeng Ou
2022 J jnl
CoRR
Yuzhi Zhao, Lai-Man Po, Xuehui Wang, Qiong Yan, Wei Shen, Yujia Zhang, Wei Liu, Chun Kit Wong, Chiu-Sing Pang, Weifeng Ou, Wing Yin Yu, Buhua Liu
2022 A* conf
AAAI
Yujia Zhang, Lai-Man Po, Xuyuan Xu, Mengyang Liu, Yexin Wang, Weifeng Ou, Yuzhi Zhao, Wing Yin Yu
2022 J jnl
IEEE Trans. Biom. Behav. Identity Sci.
Weifeng Ou, Lai-Man Po, Chang Zhou, Pengfei Xian, Jingjing Xiong
2022 J jnl
Expert Syst. Appl.
Pengfei Xian, Lai-Man Po, Jingjing Xiong, Chang Zhou, Yuzhi Zhao, Wing Yin Yu, Weifeng Ou, Yujia Zhang, Xiaori Zhang
2021 J jnl
CoRR
Jingjing Xiong, Lai-Man Po, Wing Yin Yu, Chang Zhou, Pengfei Xian, Weifeng Ou
2021 J jnl
CoRR
Yujia Zhang, Lai-Man Po, Xuyuan Xu, Mengyang Liu, Yexin Wang, Weifeng Ou, Yuzhi Zhao, Wing Yin Yu
2021 J jnl
Expert Syst. Appl.
Chang Zhou, Lai-Man Po, Weifeng Ou, Pengfei Xian, Kwok-Wai Cheung
2021 J jnl
Expert Syst. Appl.
Weifeng Ou, Lai-Man Po, Chang Zhou, Yasar Abbas Ur Rehman, Pengfei Xian, Yujia Zhang
2021 J jnl
CoRR
Yuzhi Zhao, Lai-Man Po, Wing Yin Yu, Yasar Abbas Ur Rehman, Mengyang Liu, Yujia Zhang, Weifeng Ou
2020 J jnl
Expert Syst. Appl.
Yujia Zhang, Lai Man Po, Mengyang Liu, Yasar Abbas Ur Rehman, Weifeng Ou, Yuzhi Zhao
2020 J jnl
IEEE Access
Weifeng Ou, Lai-Man Po, Chang Zhou, Yujia Zhang, Litong Feng, Yasar Abbas Ur Rehman, Yuzhi Zhao
2019 conf
ICCV Workshops
Andrey Ignatov, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Yuzhi Zhao, Lai-Man Po, Radu Timofte, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong, Chang Zhou, Wing Yin Yu, Yubin Yubin, Sung-Jea Ko, Bingxin Hou, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Seung-Wook Kim, Kwang-Hyun Uhm, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Kangfu Mei
2019 J jnl
J. Vis. Commun. Image Represent.
Yasar Abbas Ur Rehman, Lai-Man Po, Mengyang Liu, Zijie Zou, Weifeng Ou, Yuzhi Zhao
2019 conf
CISIS-ICEUTE
Yasar Abbas Ur Rehman, Lai-Man Po, Mengyang Liu, Zijie Zou, Weifeng Ou
2019 conf
ICCV Workshops
Yuzhi Zhao, Chang Zhou, Wing Yin Yu, Lai-Man Po, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong
redb/extractors/macho_extractors/macho_exports.py
← Index redb/extractors/macho_extractors/macho_exports.py python
import inspect
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 MachOExport


class MachOExportExtractor(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_exports"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_exports(self, arch_name=None):
        """Extract export information from the MachO binary for a specific architecture."""
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            # Get exported symbols using new API for specific architecture
            exported_symbols = self.macho.get_exported_symbols(arch=arch_name)

            # Extract all exported symbols (may be empty for some binaries)
            # Handle None or empty dict
            if not exported_symbols:
                exported_symbols = {}
            all_symbols = []
            for dylib_name, symbols in exported_symbols.items():
                # Process symbol names
                for symbol in symbols:
                    if isinstance(symbol, bytes):
                        symbol = symbol.decode('utf-8', errors='replace')
                    all_symbols.append(symbol)

            # Create export dataclass
            macho_export = MachOExport(
                macho_exports_total=len(all_symbols),
                macho_export_symbols=all_symbols  # Empty list is fine, but None is not allowed for Array type
            )

            return macho_export

        except Exception as e:
            self.log.error(f"Error extracting MachO exports for arch {arch_name}: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            # Get architectures (macho is already parsed in base class)
            architectures = self.macho.get_architectures()
            if len(architectures) > 1:
                # FAT binary - return list of exports for each architecture
                results = []
                for arch_name in architectures:
                    exports = self._extract_exports(arch_name)
                    if exports:
                        exports.arch_identifier = arch_name
                        results.append(exports)
                return results
            else:
                # Single architecture - return single result
                return self._extract_exports(architectures[0] if architectures else None)
        except Exception as e:
            self.log.error(f"Error extracting MachO exports: {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:
                # Get architecture-specific sha256
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_header_raw = self.macho.get_macho_header(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)
                    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

                # Get exports for this architecture
                macho_export = self._extract_exports(arch_name)
                if not macho_export:
                    continue

                data.append([
                    arch_sha256,                          # sha256 (arch-specific)
                    macho_export.macho_exports_total,     # macho_exports_total
                    macho_export.macho_export_symbols,    # macho_export_symbols (keep as array!)
                    current_time,                         # analysis_date
                ])

            column_names = [
                'sha256',
                'macho_exports_total', 'macho_export_symbols',
                'analysis_date'
            ]

            if not data:
                return None

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

            return (data, column_names, column_type_names)

        return None

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