Kassian Plankensteiner

12 papers Journal 3Unranked 9
YearRankTypeTitle / Venue / Authors
2013 J jnl
J. Grid Comput.
Kassian Plankensteiner, Radu Prodan, Matthias Janetschek, Thomas Fahringer, Johan Montagnat, David Rogers, Ian Harvey, Ian J. Taylor, Ákos Balaskó, Péter Kacsuk
2012 J jnl
IEEE Trans. Parallel Distributed Syst.
Kassian Plankensteiner, Radu Prodan
2011 conf
WORKS@SC
Kassian Plankensteiner, Johan Montagnat, Radu Prodan
2011 conf
ServiceWave
Simon Ostermann, Kassian Plankensteiner, Daniel Bodner, Georg Kraler, Radu Prodan
2011 J jnl
Sci. Program.
Simon Ostermann, Kassian Plankensteiner, Radu Prodan
2010 conf
Euro-Par Workshops
Simon Ostermann, Kassian Plankensteiner, Radu Prodan, Thomas Fahringer
2010 conf
Euro-Par (1)
Kassian Plankensteiner, Radu Prodan, Thomas Fahringer
2009 conf
eScience
Kassian Plankensteiner, Radu Prodan, Thomas Fahringer
2009 conf
GRID
Radu Prodan, Simon Ostermann, Kassian Plankensteiner
2008 conf
CoreGRID Workshop on Grid Middleware
Kassian Plankensteiner, Radu Prodan, Thomas Fahringer, Attila Kertész, Péter Kacsuk
2008 conf
CoreGRID Workshop on Grid Middleware
Simon Ostermann, Kassian Plankensteiner, Radu Prodan, Thomas Fahringer, Alexandru Iosup
2007 conf
CoreGRID
Jun Qin, Marek Wieczorek, Kassian Plankensteiner, Thomas Fahringer
redb/extractors/pe_extractors/pe_sections.py
← Index redb/extractors/pe_extractors/pe_sections.py python
import base64
import hashlib
import inspect
from redb.extractors.enum import Tag
from redb.extractors.pe_extractor import PEExtractor
from redb.models.dataclasses import PESection
from datetime import datetime, timezone
from typing import Any


class PESectionExtractor(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_sections"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_sections(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        sections = []
        for section in self.pe.sections:
            try:
                name = self.process_binary_string(section.Name)
            except Exception as e:
                name = "UnableToDecode"
                self.log.warning(
                    f'Unable to store section Name "{section.Name}" for {self.hash.sha256}'
                    f" exception {e}"
                )
            sec_sha256 = section.get_hash_sha256()
            sec_md5 = section.get_hash_md5()
            # sec_entropy = "%.2f" % section.get_entropy()
            sec_entropy = section.get_entropy()
            pe_section = PESection(
                _id=hashlib.sha256(
                    name.encode()
                ).hexdigest(),  # usecase 8e035beb02a411f8a9e92d4cf184ad34f52bbd0a81a50c222cdd4706e4e45104, all section have same sha256
                section_name=name,
                section_name_b64=base64.b64encode(
                    section.Name.rstrip(b'\x00')
                ).decode(),  # base64.b64decode(b64) to decode
                section_v_addr=section.VirtualAddress,
                section_v_addr_hex=hex(section.VirtualAddress),
                section_v_size=section.Misc_VirtualSize,
                section_size=section.SizeOfRawData,
                section_pointer_to_raw_data=hex(section.PointerToRawData),
                section_md5=sec_md5,
                section_sha256=sec_sha256,
                section_entropy=sec_entropy,
            )
            sections.append(pe_section)
        return sections

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            sections = self._extract_sections()
            # self.export_to_elastic(sections)  # Let the exporters handle this
            return sections
        except Exception as e:
            self.log.error(f"Error extracting PE sections: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            sections = self.extract()
            if sections is None:
                return None
            
            data = []
            current_time = datetime.now(timezone.utc)
            
            for section in sections:
                data.append([
                    self.sha256,                          # sha256
                    self.md5,                             # md5
                    self.sha1,                            # sha1
                    section.section_name,                 # section_name
                    section.section_name_b64,             # section_name_b64
                    section.section_entropy,              # section_entropy
                    section.section_sha256,               # section_sha256
                    section.section_md5,                  # section_md5
                    section.section_size,                 # section_size
                    section.section_v_addr,               # section_v_addr
                    section.section_v_size,               # section_v_size
                    int(section.section_pointer_to_raw_data, 16),  # section_pointer_to_raw_data - convert from hex
                    current_time                          # analysis_date
                ])
            
            column_names = [
                'sha256', 'md5', 'sha1', 'section_name', 'section_name_b64',
                'section_entropy', 'section_sha256', 'section_md5', 'section_size',
                'section_v_addr', 'section_v_size', 'section_pointer_to_raw_data',
                'analysis_date'
            ]
            
            if not data:
                return None

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

            return (data, column_names, column_type_names)

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