Mairieli Wessel

30 papers A 2C 1Journal 17Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Pooya Rostami Mazrae, Alexandre Decan, Tom Mens, Mairieli Wessel
2026 J jnl
J. Syst. Softw.
Pooya Rostami Mazrae, Alexandre Decan, Tom Mens, Mairieli Wessel
2026 J jnl
CoRR
Raula Gaikovina Kula, Christoph Treude, Xing Hu, Sebastian Baltes, Earl T. Barr, Kelly Blincoe, Fabio Calefato, Junjie Chen, Marc Cheong, Youmei Fan, Daniel M. Germán, Marco Aurélio Gerosa, Jin L. C. Guo, Shinpei Hayashi, Robert Hirschfeld, Reid Holmes, Yintong Huo, Takashi Kobayashi, Michele Lanza, Zhongxin Liu, Olivier Nourry, Nicole Novielli, Denys Poshyvanyk, Shinobu Saito, Kazumasa Shimari, Igor Steinmacher, Mairieli Wessel, Markus Wagner, Annie Vella, Laurie Williams, Xin Xia
2026 J jnl
CoRR
Ann Barcomb, Mariana Pinheiro Bento, Giuseppe Destefanis, Sherlock A. Licorish, Cleyton V. C. de Magalhães, Ronnie de Souza Santos, Mairieli Wessel
2026 J jnl
CoRR
Ronnie de Souza Santos, Ítalo Santos, Mariana P. Bento, Giuseppe Destefanis, Cleyton V. C. de Magalhães, Mairieli Wessel
2026 J jnl
CoRR
Mairieli Wessel, Daniel Feitosa, Sangeeth Kochanthara
2026 J jnl
CoRR
Pien Rooijendijk, Christoph Treude, Mairieli Wessel
2025 J jnl
CoRR
Ronnie de Souza Santos, Ítalo Santos, Maria Teresa Baldassarre, Cleyton V. C. de Magalhães, Mairieli Wessel
2025 conf
BotSE@ICSE
Jonan Richards, Mairieli Wessel
2025 J jnl
CoRR
Jonan Richards, Mairieli Wessel
2025 conf
SEAA (3)
Ronnie de Souza Santos, Cleyton V. C. de Magalhães, Ann Barcomb, Mairieli Wessel
2025 J jnl
CoRR
Ronnie de Souza Santos, Ann Barcomb, Mairieli Wessel, Cleyton V. C. de Magalhães
2025 conf
SBES
Ana Maciel, Mairieli Wessel, Igor Wiese, Igor Steinmacher
2025 conf
SBES
Antônio Gomes, Eric Mesquita, Emanuel Ávila, Carlos Jefté, Arthur Willame Mesquita, Lucas Sousa, Matheus Rabelo, Mairieli Wessel, Anderson G. Uchôa
2024 ed.
STAF Workshops
Hessa Alfraihi, Francesco Basciani, Georgiana Caltais, Nicolas Ferry, José Antonio Hernández López, Ludovico Iovino, Robbert Jongeling, Stefan Klikovits, Shekoufeh Kolahdouz Rahimi, Riccardo Rubei, Sobhan Yassipour Tehrani, Javier Troya, Mairieli Wessel, Vadim Zaytsev
2024 C conf
AST
Alexander Sterk, Mairieli Wessel, Eli Hooten, Andy Zaidman
2024 J jnl
IEEE Trans. Software Eng.
Carolin E. Brandt, Ali Khatami, Mairieli Wessel, Andy Zaidman
2024 J jnl
CoRR
Jonan Richards, Mairieli Wessel
2024 A conf
ICSME
Jonan Richards, Mairieli Wessel
2023 conf
SATToSE
Pooya Rostami Mazrae, Alexandre Decan, Tom Mens, Mairieli Wessel
2023 conf
SBES
Marcos Silva, Maykon Nunes, Carla I. M. Bezerra, Anderson G. Uchôa, Mairieli Wessel
2023 J jnl
Empir. Softw. Eng.
Mairieli Wessel, Joseph Vargovich, Marco Aurélio Gerosa, Christoph Treude
2023 J jnl
IEEE Softw.
Mairieli Wessel, Andy Zaidman, Marco Aurélio Gerosa, Igor Steinmacher
2023 ch.
Software Ecosystems: Tooling and Analytics
Mairieli Wessel, Tom Mens, Alexandre Decan, Pooya Rostami Mazrae
2023 J jnl
CoRR
Mairieli Wessel, Tom Mens, Alexandre Decan, Pooya Rostami Mazrae
2022 J jnl
CoRR
Mairieli Wessel, Andy Zaidman, Marco Aurélio Gerosa, Igor Steinmacher
2022 ed.
BENEVOL
Mairieli Wessel, Eleni Constantinou
2022 ed.
BotSE@ICSE
Mairieli Wessel
2022 A conf
ICSME
Eric Ribeiro, Ronan Nascimento, Igor Steinmacher, Laerte Xavier, Marco Aurélio Gerosa, Hugo de Paula, Mairieli Wessel
2022 J jnl
Proc. ACM Hum. Comput. Interact.
Heloisa Candello, Claudio S. Pinhanez, Michael J. Muller, Mairieli Wessel
redb/extractors/detectiteasy.py
← Index redb/extractors/detectiteasy.py python
import inspect
from pprint import pprint
import subprocess
import json
from typing import Any
from datetime import datetime, timezone
import os
from dotenv import load_dotenv

from redb.extractors.enum import Tag
from redb.models.dataclasses import DIEinfo
from redb.extractors.extractor import Extractor

load_dotenv(override=True)

class DIEExtractor(Extractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        precomputed_hashes=None,
    ):
        super().__init__(
            filepath, log, exporters, index_prefix, elastic_index, known_benign, known_malicious,
            precomputed_hashes=precomputed_hashes
        )
        self.log.debug(inspect.currentframe().f_code.co_name)
        self.die_info = None
        self.die_info_dict = {}
        self.elastic_index = self.index_prefix + "-die"

    def _recursive_entry(self, die_dict, master_key):
        self.log.debug(inspect.currentframe().f_code.co_name)
        if master_key:
            self.die_info_dict[master_key] = {}
        else:
            self.die_info_dict = {}
        for value in die_dict:
            if "type" in value:
                type_key = value["type"].lower().replace(" ", "_")
                name = value.get("name", "")
                version = f"({value.get('version')})" if value.get("version") else ""
                info = f"[{value.get('info')}]" if value.get("info") else ""

                if master_key:
                    self.die_info_dict[master_key][type_key] = f"{name}"
                    self.die_info_dict[master_key][f'{type_key}(full)'] = f"{name}{version}{info}"
                else:
                    self.die_info_dict[type_key] = f"{name}"
                    self.die_info_dict[f'{type_key}(full)'] = f"{name}{version}{info}"

            elif "parentfilepart" in value:
                child_key = (
                    value["parentfilepart"].lower().replace(" ", "_")
                    + "."
                    + value["filetype"].lower().replace(" ", "_")
                )
                if master_key:
                    self._recursive_entry(value["values"], f"{master_key}.{child_key}")
                else:
                    self._recursive_entry(value["values"], f"{child_key}")

    def _extract_dieinfo(self):
        """
        Execute a command-line binary with arguments and parse its JSON output.

        :param command: The command or path to the binary to execute
        :param args: Additional arguments to pass to the command
        :return: Parsed JSON output as a Python object
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        # Construct the full command
        # command = "nfdc" # UNCOMMENT FOR PROD
        # command = "/Users/p4c0/_tools/NFD.app/Contents/MacOS/nfdc" # COMMENT FOR TESTING ON MAC
        command = os.getenv("DIE_PATH")
        args = ["-durj", self.filepath]
        full_command = [command] + list(args)
        TIMEOUT = int(os.getenv("DIE_TIMEOUT", "180"))

        try:
            # Execute the command and capture its output
            result = subprocess.run(
                full_command,
                capture_output=True,
                text=True,
                check=True,
                timeout=TIMEOUT,
            )

            # Parse the JSON output
            nfdc_output = json.loads(result.stdout)

            # Extract the DIE information from the json output
            for die_entry in nfdc_output["detects"]:
                if die_entry["parentfilepart"] == "Header":
                    master_key = (
                        die_entry["parentfilepart"].lower().replace(" ", "_")
                        + "."
                        + die_entry["filetype"].lower().replace(" ", "_")
                    )
                    self._recursive_entry(die_entry["values"], None)

            # pprint(json.dumps(self.die_info_dict, indent=2)) #debug
            self.die_info = DIEinfo(result.stdout, self.die_info_dict)
            self.log.debug(f"NFDC-DIE JSON dump: todo")
        except subprocess.TimeoutExpired:
            self.log.error(f"The DIE command timed out after {TIMEOUT} seconds")
            return None
        except subprocess.CalledProcessError as e:
            self.log.error(f"Error executing DIE command: {e}")
            self.log.error(f"Command output (stderr): {e.stderr}")
            return None
        except json.JSONDecodeError as e:
            self.log.error(f"Error parsing DIE JSON output: {e}")
            self.log.error(f"Raw output: {result.stdout}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.die_info
        elif exporter_type == "ClickHouseExporter":
            # Convert DIE info to JSON string
            die_info_json = json.dumps(self.die_info_dict)
            
            data = [[
                self.sha256,
                self.md5,
                self.sha1,
                die_info_json,
                datetime.now(timezone.utc)
            ]]
            
            column_names = [
                'sha256', 'md5', 'sha1', 'die_info', 'analysis_date'
            ]
            
            column_type_names = [
                'String', 'String', 'String', 'JSON', 'DateTime64(3, \'UTC\')'
            ]
            
            return (data, column_names, column_type_names)

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

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            self._extract_dieinfo()
            
            # Check if there's a packer in the DIE results
            is_packed = False
            if self.die_info_dict:
                # Check if 'packer' exists in the DIE results
                is_packed = bool(self.die_info_dict.get('packer'))
            
            return self.die_info  # Return the extracted data instead of exporting directly
        except Exception as e:
            self.log.error(f"Error extracting DIE information: {e}")
            return None

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