Olga Ivanova

12 papers C 2Misc 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bioinform.
Victor Paton, Dénes Türei, Olga Ivanova, Sophia Müller-Dott, Pablo Rodríguez-Mier, Veronica Venafra, Livia Perfetto, Martín Garrido-Rodriguez, Julio Saez-Rodriguez
2023 conf
ACIT
Olga Ivanova, Viacheslav Laptiev, Olha Poliakova, Viktor Ostroverkhov, Ewa Stanczyk-Hugiet
2022 J jnl
Comput. Speech Lang.
Olga Ivanova, Juan José G. Meilán, Francisco Martínez-Sánchez, Israel Martínez-Nicolás, Thide E. Llorente, Nuria Carcavilla González
2022 conf
IWINAC (1)
Olga Ivanova, Juan José G. Meilán
2020 J jnl
Bioinform.
Annika Jacobsen, Olga Ivanova, Saman Amini, Jaap Heringa, Patrick Kemmeren, K. Anton Feenstra
2020 J jnl
Environ. Model. Softw.
Leila Niamir, Olga Ivanova, Tatiana Filatova
2019 J jnl
PLoS Comput. Biol.
Saman Amini, Annika Jacobsen, Olga Ivanova, Philip Lijnzaad, Jaap Heringa, Frank C. P. Holstege, K. Anton Feenstra, Patrick Kemmeren
2017 Misc conf
WSC
Roberto Revetria, Lorenzo Damiani, Mikhail Ivanov, Olga Ivanova
2017 J jnl
Decis. Support Syst.
Olga Ivanova, Michael Scholz
2016 C conf
ICIS
Markus Bergmeier, Olga Ivanova, Dirk Totzek, Michael Scholz
2013 conf
Wirtschaftsinformatik
Olga Ivanova, Michael Scholz, Verena Dorner
2013 C conf
ICIS
Verena Dorner, Olga Ivanova, Michael Scholz
redb/extractors/pe_extractors/pe_imports.py
← Index redb/extractors/pe_extractors/pe_imports.py python
import inspect
from typing import Any, List, Tuple
from datetime import datetime, timezone

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


class PEImportExtractor(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_imports"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

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

        imports_symbols = []
        imports_lib = []
        imports_total = 0
        # pe_import = None
        try:
            directory_entry_import = getattr(self.pe, "DIRECTORY_ENTRY_IMPORT", [])
            imports_total = len(directory_entry_import)
            for entry in directory_entry_import:
                symbols = []
                tmp_import = {}
                libname = entry.dll.decode() if entry.dll else ""
                imports_lib.append(libname)
                # replace . with _ to avoid issues with elastic
                # entryname = entryname.replace(".", "_")
                for symbol in entry.imports:
                    if symbol.name:
                        symbols.append(symbol.name.decode())
                # imports_symbols[entryname] = symbols
                tmp_import[libname] = symbols
                imports_symbols.append(tmp_import)
            return PEImport(
                pe_imports_total=imports_total,
                pe_import_libraryName=imports_lib if imports_lib else None,
                pe_import_functions=imports_symbols if imports_symbols else None,
            )
        except Exception as e:
            self.log.error(f"Extract imports error {self.hash.sha256} Exception: {e}")
        return pe_import

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)
            return self._extract_imports()
        except Exception as e:
            self.log.error(f"Extract imports 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":
            imports = self.extract()
            if (
                imports is None
                or imports.pe_imports_total == 0
                or (
                    imports.pe_import_libraryName is None
                    and imports.pe_import_functions is None
                )
            ):
                return None

            # Flatten the data - one row per function import
            data = []
            current_time = datetime.now(timezone.utc)

            for lib_funcs in imports.pe_import_functions:
                for lib, funcs in lib_funcs.items():
                    for func in funcs:
                        data.append(
                            [
                                self.sha256,  # sha256
                                self.md5,  # md5
                                self.sha1,  # sha1
                                lib,  # library_name
                                func,  # function_name
                                current_time,  # analysis_date
                            ]
                        )

            column_names = [
                "sha256",
                "md5",
                "sha1",
                "library_name",
                "function_name",
                "analysis_date",
            ]

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

            if not data:
                return None

            return (data, column_names, column_type_names)

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