Weining Wu

14 papers A* 1B 1C 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
AAAI
Jianxin Ren, Weining Wu
2026 J jnl
CoRR
Zhenkun Shi, Jun Zhu, Dehang Wang, Boyu Chen, Qianqian Yuan, Zhitao Mao, Fan Wei, Weining Wu, Xiaoping Liao, Hongwu Ma
2024 J jnl
Pattern Anal. Appl.
Qian Li, Weining Wu
2024 J jnl
Expert Syst. Appl.
Ke Chen, Weining Wu
2018 conf
ICIC (1)
Maozu Guo, Weining Wu, Yang Liu
2018 J jnl
Expert Syst. Appl.
Weining Wu
2018 J jnl
Appl. Soft Comput.
Weining Wu
2018 J jnl
NeuroImage
Fan Zhang, Weining Wu, Lipeng Ning, Gloria McAnulty, Deborah P. Waber, Borjan A. Gagoski, Kiera Sarill, Hesham M. Hamoda, Yang Song, Weidong Cai, Yogesh Rathi, Lauren J. O'Donnell
2017 C conf
ICMLA
Weining Wu
2017 conf
MICCAI (1)
Fan Zhang, Weining Wu, Lipeng Ning, Gloria McAnulty, Deborah P. Waber, Borjan A. Gagoski, Kiera Sarill, Hesham M. Hamoda, Yang Song, Weidong Cai, Yogesh Rathi, Lauren J. O'Donnell
2015 J jnl
Knowl. Based Syst.
Weining Wu
2015 J jnl
Neurocomputing
Weining Wu, Shaobin Huang, Maozu Guo
2013 J jnl
Neurocomputing
Weining Wu, Yang Liu, Maozu Guo, Chunyu Wang, Xiaoyan Liu
2013 B conf
ICIP
Weining Wu, Yang Liu, Wei Zeng, Maozu Guo, Chunyu Wang, Xiaoyan Liu
redb/extractors/pe_extractors/pe_resources.py
← Index redb/extractors/pe_extractors/pe_resources.py python
from hashlib import sha256
import inspect
from datetime import datetime, timezone
from typing import Any

import magic
from magika import Magika
import pefile
from pefile import UnicodeStringWrapperPostProcessor

from redb.extractors.enum import Tag
from redb.extractors.pe_extractor import PEExtractor
from redb.models.dataclasses import PEResource


class PEResourceExtractor(PEExtractor):

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

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

    def _extract_resources(self):
        """
        Returns:
        resources: a list of dictionaries, one per each resources type found.
                    each dictionary the key represents the name of the content,
                    which is the value itself.
                    Empty list if no resources present.
        """
        self.log.debug(inspect.currentframe().f_code.co_name)
        resources_list = []
        try:
            if hasattr(self.pe, "DIRECTORY_ENTRY_RESOURCE"):
                for resource_type in self.pe.DIRECTORY_ENTRY_RESOURCE.entries:
                    # if resource_type.name is not None:
                    #     name = resource_type.name
                    # else:
                    #     name = pefile.RESOURCE_TYPE.get(resource_type.struct.Id)
                    # if not name:
                    #     name = resource_type.struct.Id
                    name = (
                        resource_type.name
                        if resource_type.name is not None
                        else pefile.RESOURCE_TYPE.get(resource_type.struct.Id)
                    )
                    if isinstance(name, UnicodeStringWrapperPostProcessor):
                        name = name.decode()
                    try:
                        if hasattr(resource_type, "directory"):
                            for resource_id in resource_type.directory.entries:
                                if hasattr(resource_id, "directory"):
                                    for resource_lang in resource_id.directory.entries:
                                        rsrc_data = self.pe.get_data(
                                            resource_lang.data.struct.OffsetToData,
                                            resource_lang.data.struct.Size,
                                        )
                                        file_type = magic.from_buffer(rsrc_data)
                                        magik = Magika().identify_bytes(rsrc_data).output.label

                                        rsrc_entropy = (
                                            "%.2f"
                                            % pefile.SectionStructure.entropy_H(
                                                self.pe, rsrc_data
                                            )
                                        )
                                        rsrc_sha256 = sha256(rsrc_data).hexdigest()
                                        lang = pefile.LANG.get(
                                            resource_lang.data.lang, "*unknown*"
                                        )
                                        sublang = pefile.get_sublang_name_for_lang(
                                            resource_lang.data.lang,
                                            resource_lang.data.sublang,
                                        )
                                        pe_resource = PEResource(
                                            _id=rsrc_sha256,
                                            resource_type=name,
                                            resource_entropy=rsrc_entropy,
                                            resource_sha256=rsrc_sha256,
                                            resource_filetype=file_type,
                                            resource_magika=magik,
                                            resource_language=lang,
                                            resource_rva=resource_lang.data.struct.OffsetToData,
                                            resource_size=resource_lang.data.struct.Size,
                                            resource_sub_lang=sublang,
                                        )
                                        resources_list.append(pe_resource)
                    except Exception as e:
                        self.log.warning(
                            f"Continue after Error in {self.hash.sha256}: {resource_type.name} "
                            f"Exception: {e}",
                            stack_info=True,
                        )
                        # resources_list.append({f"{e} - {resource_type.name}"})
                        continue
        except Exception as e:
            self.log.exception(
                f"Extract exports error {self.hash.sha256} Exception: {e}"
            )
        self.log.debug(f"Resource list {resources_list}")
        return resources_list

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)
            resources = self._extract_resources()
            # self.export_to_elastic(resources)  # Let the exporters handle this
            return resources
        except Exception as e:
            self.log.error(f"Extract resources error {self.hash.sha256} Exception: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            resources = self.extract()
            if resources is None:
                return None
            
            data = []
            current_time = datetime.now(timezone.utc)
            
            for resource in resources:
                data.append([
                    self.sha256,                    # sha256
                    self.md5,                       # md5
                    self.sha1,                      # sha1
                    resource.resource_type,         # resource_type
                    resource.resource_entropy,      # resource_entropy
                    resource.resource_sha256,       # resource_sha256
                    resource.resource_filetype,     # resource_filetype
                    resource.resource_magika,       # resource_magika
                    resource.resource_language,     # resource_language
                    resource.resource_sub_lang,     # resource_sub_lang
                    resource.resource_size,         # resource_size
                    resource.resource_rva,          # resource_rva
                    current_time                    # analysis_date
                ])
            
            column_names = [
                'sha256', 'md5', 'sha1', 'resource_type', 'resource_entropy',
                'resource_sha256', 'resource_filetype', 'resource_magika',
                'resource_language', 'resource_sub_lang', 'resource_size',
                'resource_rva', 'analysis_date'
            ]
            
            if not data:
                return None

            column_type_names = [
                'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                'LowCardinality(Nullable(String))', 'Float64',
                'FixedString(64)', 'LowCardinality(Nullable(String))', 'LowCardinality(Nullable(String))',
                'LowCardinality(Nullable(String))', 'LowCardinality(Nullable(String))', 'UInt64',
                'UInt64', 'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

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