Oscar Araque

41 papers B 1C 2Journal 21Unranked 17
YearRankTypeTitle / Venue / Authors
2025 conf
ACL (1)
Soda Marem Lo, Oscar Araque, Rajesh Sharma, Marco Antonio Stranisci
2025 J jnl
CoRR
Soda Marem Lo, Oscar Araque, Rajesh Sharma, Marco Antonio Stranisci
2024 J jnl
CoRR
Oscar Araque, Lorenzo Gatti, Sergio Consoli, Kyriaki Kalimeri
2024 J jnl
CoRR
Oscar Araque, Luca Barbaglia, Francesco Berlingieri, Marco Colagrossi, Sergio Consoli, Lorenzo Gatti, Caterina Mauri, Kyriaki Kalimeri
2024 conf
CLiC-it
Daniel Russo, Oscar Araque, Marco Guerini
2023 J jnl
CoRR
Andrea Laguna, Oscar Araque
2023 J jnl
IEEE Access
Patricia Alonso Del Real, Oscar Araque
2023 conf
EVALITA
Oscar Araque, Simona Frenda, Rachele Sprugnoli, Debora Nozza, Viviana Patti
2023 C conf
LDK
J. Fernando Sánchez-Rada, Oscar Araque, Guillermo García-Grao, Carlos Angel Iglesias
2023 conf
CLiC-it
Oscar Araque, María Felipa Ledesma Corniel, Kyriaki Kalimeri
2023 conf
ACL (1)
Enrico Liscio, Oscar Araque, Lorenzo Gatti, Ionut Constantinescu, Catholijn M. Jonker, Kyriaki Kalimeri, Pradeep Kumar Murukannaiah
2022 J jnl
Cogn. Comput.
Oscar Araque, Carlos Angel Iglesias
2022 J jnl
IEEE Trans. Affect. Comput.
Oscar Araque, Lorenzo Gatti, Jacopo Staiano, Marco Guerini
2022 J jnl
SoftwareX
Oscar Araque, J. Fernando Sánchez-Rada, Carlos Angel Iglesias
2022 conf
GoodIT
Oscar Araque, Lorenzo Gatti, Kyriaki Kalimeri
2022 J jnl
CoRR
Oscar Araque, Lorenzo Gatti, Kyriaki Kalimeri
2022 J jnl
CoRR
Marco Antonio Stranisci, Simona Frenda, Mirko Lai, Oscar Araque, Alessandra Teresa Cignarella, Valerio Basile, Viviana Patti, Cristina Bosco
2021 conf
IberLEF@SEPLN
Daniel Vera, Oscar Araque, Carlos Angel Iglesias
2021 conf
WWW (Companion Volume)
Oscar Araque, Lorenzo Gatti, Kyriaki Kalimeri
2020 J jnl
IEEE Access
Oscar Araque, Carlos Angel Iglesias
2020 J jnl
IEEE Access
Daniel Carlander-Reuterfelt, Álvaro Carrera, Carlos Angel Iglesias, Oscar Araque, J. Fernando Sánchez-Rada, Sergio Muñoz
2020 J jnl
Knowl. Based Syst.
Oscar Araque, Lorenzo Gatti, Kyriaki Kalimeri
2020 conf
WebSci
Tracie Farrell, Oscar Araque, Miriam Fernández, Harith Alani
2020 C conf
ICISSP
Álvaro de Pablo, Oscar Araque, Carlos Angel Iglesias
2020 J jnl
Knowl. Based Syst.
J. Fernando Sánchez-Rada, Oscar Araque, Carlos Angel Iglesias
2019 J jnl
CoRR
Rodrigo Barbado, Oscar Araque, Carlos Angel Iglesias
2019 J jnl
Inf. Process. Manag.
Rodrigo Barbado, Oscar Araque, Carlos Angel Iglesias
2019 J jnl
Knowl. Based Syst.
Oscar Araque, Ganggao Zhu, Carlos Angel Iglesias
2019 conf
SemEval@NAACL-HLT
Diego Benito, Oscar Araque, Carlos Angel Iglesias
2019 J jnl
CoRR
Oscar Araque, Lorenzo Gatti, Kyriaki Kalimeri
2019 conf
BHI
Oscar Araque, María P. Mejía-Sandoval, Antti Sassi, Kirsi Holli-Helenius, Anna-Leena Lääperi, Irina Rinta-Kiikka, Otso Arponen, Said Pertuz
2018 conf
Innovate-Data
Sergio Muñoz, Oscar Araque, Antonio F. Llamas, Carlos Angel Iglesias
2018 J jnl
Sensors
Sergio Muñoz, Oscar Araque, J. Fernando Sánchez-Rada, Carlos Angel Iglesias
2018 J jnl
CoRR
Oscar Araque, Lorenzo Gatti, Jacopo Staiano, Marco Guerini
2018 conf
SNAMS
Daniel Suarez, Oscar Araque, Carlos Angel Iglesias
2017 J jnl
Expert Syst. Appl.
Oscar Araque, Ignacio Corcuera-Platas, J. Fernando Sánchez-Rada, Carlos Angel Iglesias
2017 conf
ACII Workshops
Oscar Araque, Marco Guerini, Carlo Strapparava, Carlos Angel Iglesias
2016 conf
ICDM Workshops
Oscar Araque, Ganggao Zhu, Manuel García-Amado, Carlos Angel Iglesias
2016 B conf
DSAA
J. Fernando Sánchez-Rada, Carlos Angel Iglesias, Ignacio Corcuera, Oscar Araque
2016 conf
AmILP@ECAI
Antonio M. Diaz, Ganggao Zhu, Álvaro Carrera, Carlos Angel Iglesias, Oscar Araque
2015 conf
TASS@SEPLN
Oscar Araque, Ignacio Corcuera, Constantino Román, Carlos Angel Iglesias, J. Fernando Sánchez-Rada
redb/extractors/malcontent.py
← Index redb/extractors/malcontent.py python
import inspect
import json
import subprocess
from typing import Any
from datetime import datetime, timezone

from redb.extractors.enum import Tag
from redb.models.dataclasses import Malcontent
from redb.extractors.extractor import Extractor
from dotenv import load_dotenv
import os

load_dotenv(override=True)


class MalcontentExtractor(Extractor):
    """
    Extractor for malcontent tool from chainguard-dev/malcontent.

    Malcontent discovers supply-chain compromises through context, differential
    analysis, and 14,000+ YARA rules. It analyzes binaries and code to detect
    malicious content and suspicious behavioral patterns.

    Binary can be extracted from Docker image:
        docker cp $(docker create cgr.dev/chainguard/malcontent:latest):/usr/bin/mal /usr/local/bin/mal

    Stores full JSON output for materialized view extraction.
    """

    # Cache version at class level to avoid repeated subprocess calls
    _cached_version = None

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious
        )
        self.malcontent = None

    @classmethod
    def _get_malcontent_version(cls, log) -> str:
        """Get malcontent version, cached at class level."""
        if cls._cached_version is not None:
            return cls._cached_version

        malcontent_path = os.getenv("MALCONTENT_PATH", "/usr/local/bin/mal")
        try:
            result = subprocess.run(
                [malcontent_path, "--version"],
                capture_output=True,
                text=True,
                timeout=10
            )
            version_output = result.stdout.strip()
            if result.returncode == 0 and version_output:
                # Parse "malcontent version v1.21.5" -> "1.21.5"
                if version_output.startswith("malcontent version v"):
                    version_output = version_output[len("malcontent version v"):]
                elif version_output.startswith("malcontent version "):
                    version_output = version_output[len("malcontent version "):]
                cls._cached_version = version_output
            else:
                cls._cached_version = "unknown"
        except Exception as e:
            log.warning(f"Could not get malcontent version: {e}")
            cls._cached_version = "unknown"

        return cls._cached_version

    def _extract_malcontent(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        TIMEOUT = int(os.getenv("MALCONTENT_TIMEOUT", "300"))
        malcontent_path = os.getenv("MALCONTENT_PATH", "/usr/local/bin/mal")

        malcontent_command = [malcontent_path, "analyze", "--format=json", self.filepath]

        import signal

        try:
            process = subprocess.Popen(
                malcontent_command,
                stdout=subprocess.PIPE,
                stderr=subprocess.PIPE,
                text=True,
                preexec_fn=os.setsid
            )

            try:
                stdout, stderr = process.communicate(timeout=TIMEOUT)
                if process.returncode != 0:
                    self.log.error(f"Error running malcontent, return code: {process.returncode}, stderr: {stderr}")
                    return {}
            except subprocess.TimeoutExpired:
                self.log.warning(f"The malcontent command timed out after {TIMEOUT} seconds, terminating process group")
                try:
                    os.killpg(process.pid, signal.SIGTERM)
                    try:
                        process.wait(timeout=3)
                    except subprocess.TimeoutExpired:
                        self.log.warning("Process didn't terminate with SIGTERM, sending SIGKILL")
                        os.killpg(process.pid, signal.SIGKILL)
                    process.wait()
                except (ProcessLookupError, OSError) as e:
                    self.log.warning(f"Error while killing process: {e}")
                return {}

            try:
                malcontent_output = json.loads(stdout)
            except json.JSONDecodeError as e:
                self.log.error(f"Error parsing malcontent output: {e}")
                return {}

            # Unwrap the Files/<path> structure to get the inner content
            # Structure is: {"Files": {"/path/to/file": {<actual content>}}}
            files_dict = malcontent_output.get("Files", {})
            if not files_dict:
                self.log.warning("Malcontent output has no 'Files' key")
                return {}

            # Get the first (and only) file's content
            file_content = next(iter(files_dict.values()), {})
            if not file_content:
                self.log.warning("Malcontent output has empty file content")
                return {}

            # Extract risk score and level from the unwrapped content
            risk_score = file_content.get("RiskScore", 0)
            risk_level = file_content.get("RiskLevel", "")

            version = self._get_malcontent_version(self.log)

            self.malcontent = Malcontent(
                malcontent_dump=json.dumps(file_content),
                version=version,
                risk_score=risk_score,
                risk_level=risk_level
            )
            self.log.debug(f"Malcontent analysis complete, version={version}, risk={risk_level}({risk_score})")

        except Exception as e:
            self.log.error(f"Unexpected error in malcontent extraction: {str(e)}")
            if 'process' in locals() and process.poll() is None:
                try:
                    os.killpg(process.pid, signal.SIGKILL)
                    process.wait()
                except:
                    pass
            return {}

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ClickHouseExporter":
            current_time = datetime.now(timezone.utc)

            data = [[
                self.sha256,
                current_time,
                self.malcontent.version,
                self.malcontent.risk_score,
                self.malcontent.risk_level,
                self.malcontent.malcontent_dump
            ]]

            column_names = [
                'sha256', 'analysis_date',
                'malcontent_version', 'malcontent_risk_score', 'malcontent_risk_level',
                'malcontent_json'
            ]

            column_type_names = [
                'FixedString(64)',
                'DateTime64(3, \'UTC\')',
                'LowCardinality(String)', 'UInt8', 'LowCardinality(String)',
                'JSON'
            ]

            return (data, column_names, column_type_names)

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

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            self._extract_malcontent()
            return self.malcontent
        except Exception as e:
            self.log.error(f"Error extracting malcontent: {e}")
            return None

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