Haiying Jiang

17 papers B 1Misc 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adv. Intell. Syst.
Zhiyu Wang, Guangyu Yao, Shengyuan Xu, Yifeng Gu, Yujie Chang, Jing Sun, Jingyi Guo, Shiqi Peng, Bolin Lai, Xiaoyun Zhang, Chunbin Wang, Haiying Jiang, Surong Chen, Yanfeng Wang, Ya Zhang, Yuehua Li, Hui Zhao
2025 J jnl
IEEE Trans. Geosci. Remote. Sens.
Zhulin Chen, Tingting Shi, Haiying Jiang, Bo Yuan, Yuran Cui, Shijiao Qiao, Kun Jia
2025 J jnl
CoRR
Fengming Yu, Haiwei Pan, Kejia Zhang, Jian Guan, Haiying Jiang
2024 J jnl
IEEE Trans. Geosci. Remote. Sens.
Haiying Jiang, Kun Jia, Qiao Wang, Bo Yuan, Guofeng Tao, Guoqiang Wang, Baolin Xue
2023 J jnl
IEEE Trans. Geosci. Remote. Sens.
Haiying Jiang, Kun Jia, Qiao Wang, Jiali Shang, Jiangui Liu, Xianhong Xie, Taifeng Dong
2023 J jnl
Comput. Electron. Agric.
Haiying Jiang, Xiangqin Wei, Zhulin Chen, Mengxun Zhu, Yunjun Yao, Xiaotong Zhang, Kun Jia
2022 J jnl
IEEE Trans. Geosci. Remote. Sens.
Zhulin Chen, Tingting Shi, Xiaobo Zhang, Kun Jia, Haiying Jiang, Bo Yuan
2022 J jnl
Int. J. Appl. Earth Obs. Geoinformation
Jie Li, Kun Jia, Xiangqin Wei, Mu Xia, Zhulin Chen, Yunjun Yao, Xiaotong Zhang, Haiying Jiang, Bo Yuan, Guofeng Tao, Linlin Zhao
2021 J jnl
IEEE Trans. Geosci. Remote. Sens.
Linna Chai, Haiying Jiang, Wade T. Crow, Shaomin Liu, Shaojie Zhao, Jin Liu, Shiqi Yang
2021 J jnl
Remote. Sens.
Duanyang Liu, Kun Jia, Haiying Jiang, Mu Xia, Guofeng Tao, Bing Wang, Zhulin Chen, Bo Yuan, Jie Li
2019 J jnl
Appl. Intell.
Haiying Jiang, Weidong Jin
2018 J jnl
IEEE Geosci. Remote. Sens. Lett.
Linna Chai, Qian Zhang, Jiancheng Shi, Shaomin Liu, Shaojie Zhao, Haiying Jiang
2017 B conf
AVSS
Haiying Jiang, Weidong Jin, Zhibin Yu, Peizhen Xu
2014 J jnl
J. Networks
Ke Xiao, Haiying Jiang, Yuanyao Lu
2009 conf
WGEC
Haiying Jiang, Juan Li, Qi Wang
2008 J jnl
Hum. Factors
Justin G. Hollands, Nada J. Pavlovic, Yukari Enomoto, Haiying Jiang
2004 Misc conf
SAC
Mizuho Iwaihara, Haiying Jiang, Yahiko Kambayashi
redb/extractors/elf_extractors/elf_dependencies.py
← Index redb/extractors/elf_extractors/elf_dependencies.py python
import inspect
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 ELFDependency


class ELFDependencyExtractor(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_dependencies = []
        self.elastic_index = self.index_prefix + "-elf_dependencies"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _map_dependency_type(self, dt_tag_str: str) -> int:
        """Map dynamic tag string to enum value."""
        type_map = {
            'DT_NEEDED': 1,
            'DT_SONAME': 14,
            'DT_RPATH': 15,
            'DT_RUNPATH': 29
        }
        return type_map.get(dt_tag_str, 0)

    def _extract_dynamic_dependencies(self, elf) -> List[Dict]:
        """Extract dependencies from the dynamic section."""
        dependencies = []

        try:
            # Get the dynamic section
            dynamic_section = elf.get_section_by_name('.dynamic')
            if not dynamic_section:
                self.log.debug("No .dynamic section found")
                return dependencies

            # Iterate through dynamic tags
            for tag in dynamic_section.iter_tags():
                dt_tag = tag.entry.d_tag

                # Handle different dependency types
                if dt_tag == 'DT_NEEDED':
                    # Required library
                    dependency_name = tag.needed
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_NEEDED'),
                        dependency_type_str='NEEDED'
                    ))

                elif dt_tag == 'DT_SONAME':
                    # Shared object name
                    dependency_name = tag.soname
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_SONAME'),
                        dependency_type_str='SONAME'
                    ))

                elif dt_tag == 'DT_RPATH':
                    # Runtime library search path
                    dependency_name = tag.rpath
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_RPATH'),
                        dependency_type_str='RPATH'
                    ))

                elif dt_tag == 'DT_RUNPATH':
                    # Runtime library search path (newer)
                    dependency_name = tag.runpath
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_RUNPATH'),
                        dependency_type_str='RUNPATH'
                    ))

        except Exception as e:
            self.log.error(f"Error extracting dynamic dependencies: {e}")

        return dependencies

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

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

            def extract_data(elf):
                # Extract dependencies - returns list of ELFDependency dataclasses
                dependencies = self._extract_dynamic_dependencies(elf)
                return dependencies

            if not self._is_elf_file():
                return None

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

            self.elf_dependencies = result
            return self.elf_dependencies

        except Exception as e:
            self.log.error(f"Error extracting ELF dependencies {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_dependencies
        elif exporter_type == "ClickHouseExporter":
            try:
                # Return valid empty structure if no dependencies (e.g., statically linked binary)
                # None is reserved for actual errors

                # Prepare data arrays for all dependencies
                data = []
                current_time = datetime.now(timezone.utc)
                for dep in self.elf_dependencies:
                    row = [
                        self.sha256,
                        self.md5,
                        self.sha1,
                        dep.dependency_name,
                        dep.dependency_type,
                        dep.dependency_type_str,
                        current_time
                    ]
                    data.append(row)

                column_names = [
                    'sha256', 'md5', 'sha1',
                    'dependency_name', 'dependency_type', 'dependency_type_str',
                    'analysis_date'
                ]

                if not data:
                    return None

                column_type_names = [
                    'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                    'LowCardinality(String)',
                    "Enum8('NEEDED'=1, 'SONAME'=14, 'RPATH'=15, 'RUNPATH'=29)",
                    '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_dependencies"