Irvin Dongo

34 papers A 1B 3C 7Misc 1Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
CLEI Electron. J.
Maria Alejandra Cornejo-Lupa, Ana Isabel Aguilera, Irvin Dongo
2025 C conf
CLEI
Juan Collio, Ana Isabel Aguilera, Irvin Dongo
2025 J jnl
Int. J. Soc. Robotics
José García, Rolinson Begazo, Pedro Cárdenas, Irvin Dongo, Yudith Cardinale, Ana Isabel Aguilera
2024 J jnl
Sensors
Rolinson Begazo, Ana Isabel Aguilera, Irvin Dongo, Yudith Cardinale
2024 J jnl
Int. J. Soc. Robotics
Pedro Cárdenas, José García, Rolinson Begazo, Ana Isabel Aguilera, Irvin Dongo, Yudith Cardinale
2024 C conf
CLEI
Ana Isabel Aguilera, Dominique Garrido, Irvin Dongo, Maria Alejandra Cornejo-Lupa
2024 J jnl
IEEE Access
Juan Collio, Ana Isabel Aguilera, Irvin Dongo
2024 C conf
CLEI
Alvaro Gamboa, Irvin Dongo, Ana Isabel Aguilera, Rolinson Begazo
2023 J jnl
IEEE Access
Diego Peña, Ana Isabel Aguilera, Irvin Dongo, Juan Pablo A. Heredia, Yudith Cardinale
2023 J jnl
IEEE Access
Ana Isabel Aguilera, Pamela Quinteros, Irvin Dongo, Yudith Cardinale
2022 J jnl
IEEE Access
Juan Pablo A. Heredia, Edmundo Lopes-Silva, Yudith Cardinale, José A. Diaz Amado, Irvin Dongo, Wilfredo Graterol, Ana Isabel Aguilera
2022 J jnl
IEEE Access
Alexander Pinto-De la Gala, Yudith Cardinale, Irvin Dongo, Regina P. Ticona-Herrera
2022 B conf
Intelligent Environments (Workshops)
Juan Pablo A. Heredia, Yudith Cardinale, Irvin Dongo, Ana Isabel Aguilera, José A. Diaz Amado
2022 B conf
Intelligent Environments (Workshops)
Yudith Cardinale, Ana Isabel Aguilera, Irvin Dongo, José A. Diaz Amado
2022 J jnl
Sensors
David Ferere, Irvin Dongo, Yudith Cardinale
2021 C conf
ICSOFT
Juan Pablo A. Heredia, Yudith Cardinale, Irvin Dongo, José A. Diaz Amado
2021 J jnl
Int. J. Web Inf. Syst.
Irvin Dongo, Yudith Cardinale, Ana Isabel Aguilera, Fabiola Martínez, Yuni Quintero, Germán Robayo, David Cabeza
2021 conf
WI/IAT
Alexander Pinto-De la Gala, Yudith Cardinale, Irvin Dongo
2021 J jnl
Sensors
Wilfredo Graterol, José A. Diaz Amado, Yudith Cardinale, Irvin Dongo, Edmundo Lopes-Silva, Cleia Santos-Libarino
2021 C conf
CLEI
Alejandro Tejada-Mesias, Irvin Dongo, Yudith Cardinale, José A. Diaz Amado
2021 J jnl
IEEE Access
Yudith Cardinale, Irvin Dongo, Germán Robayo, David Cabeza, Ana Isabel Aguilera, Sergio Medina
2021 Misc conf
SAC
Alexander Pinto-De la Gala, Yudith Cardinale, Irvin Dongo, Regina P. Ticona-Herrera
2020 C conf
iiWAS
Irvin Dongo, Yudith Cardinale, Ana Isabel Aguilera, Fabiola Martínez, Yuni Quintero, Sergio Barrios
2019 conf
IHM
Irvin Dongo, David Antonio Gómez Jáuregui, Nadine Couture
2019 conf
NIME
David Antonio Gómez Jáuregui, Irvin Dongo, Nadine Couture
2019 conf
ICSRS
Irvin Dongo, Yudith Cardinale, Ana Isabel Aguilera
2019 J jnl
J. Web Eng.
Irvin Dongo, Richard Chbeir
2019 conf
OTM Conferences
Irvin Dongo, Richard Chbeir
2018 J jnl
Data Sci. Eng.
Irvin Dongo, Yudith Cardinale, Richard Chbeir
2017 conf
WISE (2)
Irvin Dongo, Yudith Cardinale, Firas Al Khalil, Richard Chbeir
2017 conf
DEXA (1)
Irvin Dongo, Firas Al Khalil, Richard Chbeir, Yudith Cardinale
2016 B conf
ENASE
Irvin Dongo, Vanea Chiprianov
2015 A conf
ER
Regina P. Ticona-Herrera, Joe Tekli, Richard Chbeir, Sébastien Laborie, Irvin Dongo, Renato Guzman
2013 C conf
MEDES
Renato Guzman, Irvin Dongo, Regina P. Ticona-Herrera
redb/extractors/capa.py
← Index redb/extractors/capa.py python
from dataclasses import asdict
import inspect
import json
import subprocess
import magic
from magika import Magika
from typing import Any, Dict, List, Tuple
from datetime import datetime, timezone

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

load_dotenv(override=True)

class CAPAExtractor(Extractor):

    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.capa = None
        self.elastic_index = self.index_prefix + "-capa"

    def _replace_empty_keys(self, dictionary, replacement="default_empty_key"):
        """
        Replace empty keys in a dictionary with a specified replacement.

        Args:
        dictionary (dict): The input dictionary
        replacement (str): The replacement for empty keys (default: 'empty_key')

        Returns:
        dict: A new dictionary with empty keys replaced
        """
        # tmp_dict = {}
        # for k, v in dictionary.items():
        #     if k == '':
        #         tmp_dict[replacement] = dictionary[k]
        #     else:
        #         tmp_dict[k] = dictionary[k]
        # return tmp_dict
        return {(replacement if k == "" else k): v for k, v in dictionary.items()}

    def _extract_capa(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        TIMEOUT = int(os.getenv("CAPA_TIMEOUT")) # 5 minutes in seconds
        capa_command = [os.getenv("CAPA_PATH"), "-j", self.filepath] # COMMENT FOR TESTING ON MAC

        import signal

        # try:
        #     result = subprocess.run(
        #         capa_command, capture_output=True, text=True, check=True, timeout=TIMEOUT
        #     )
        # except subprocess.TimeoutExpired:
        #     self.log.error(f"The capa command timed out after {TIMEOUT} seconds")
        #     return {}
        # except subprocess.CalledProcessError as e:
        #     self.log.error(f"Error running capa: {e}")
        #     return {}

        # try:
        #     capa_output = json.loads(result.stdout)
        # except json.JSONDecodeError as e:
        #     self.log.error("Error parsing capa output: {e}")
        #     return {}

        # Create a process group for easier termination of all child processes
        try:
            # Start the process in a new process group
            process = subprocess.Popen(
                capa_command,
                stdout=subprocess.PIPE,
                stderr=subprocess.PIPE,
                text=True,
                preexec_fn=os.setsid  # Use os.setsid() to create a new process group
            )
            
            # Implement timeout handling manually
            try:
                stdout, stderr = process.communicate(timeout=TIMEOUT)
                # Process completed within timeout
                if process.returncode != 0:
                    self.log.error(f"Error running capa, return code: {process.returncode}, stderr: {stderr}")
                    return {}
            except subprocess.TimeoutExpired:
                # Kill the entire process group on timeout
                self.log.warning(f"The capa command timed out after {TIMEOUT} seconds, terminating process group")
                
                try:
                    # Send SIGTERM to the entire process group
                    os.killpg(process.pid, signal.SIGTERM)
                    
                    # Give it a moment to terminate gracefully
                    try:
                        process.wait(timeout=3)
                    except subprocess.TimeoutExpired:
                        # If it's still running after 3 seconds, send SIGKILL
                        self.log.warning("Process didn't terminate with SIGTERM, sending SIGKILL")
                        os.killpg(process.pid, signal.SIGKILL)
                        
                    process.wait()  # Make sure process resources are fully cleaned up
                except (ProcessLookupError, OSError) as e:
                    self.log.warning(f"Error while killing process: {e}")
                    
                return {}
                
            try:
                capa_output = json.loads(stdout)
            except json.JSONDecodeError as e:
                self.log.error(f"Error parsing capa output: {e}")
                return {}

            capa_dump = {}  # dictionalry of capabilities
            capabilities = set()  # list of capabilities
            namespaces = set()  # list of namespaces
            attack_dump = {}  # dictionary of tuples [tactic](technique, technique_id)
            tactics = set()  # list of tactics
            techniques = set()  # list of techniques
            techniques_id = set()  # list of techniques_id
            mbc_dump = {}  # dictionary of tuples [objective](behavior, behavior_id)
            mbc_objectives = set()  # list of objectives
            mbc_behaviors = set()  # list of behaviors
            mbc_behaviors_id = set()  # list of behaviors_id

            if isinstance(capa_output, dict) and "rules" in capa_output:
                rules = capa_output["rules"]
                if isinstance(rules, dict):
                    for rule_name, rule_data in rules.items():
                        if isinstance(rule_data, dict) and "meta" in rule_data:
                            meta = rule_data["meta"]
                            if isinstance(meta, dict):
                                # Process capabilities
                                namespace = meta.get("namespace", "").lower()
                                # if namespace != 'lib':
                                if namespace not in capa_dump:
                                    capa_dump[namespace] = []
                                    namespaces.add(namespace)
                                capa_dump[namespace].append(rule_name)
                                capabilities.add(rule_name)

                                # Process ATTACK information
                                if "attack" in meta:
                                    for attack_entry in meta["attack"]:
                                        tactic = attack_entry.get("tactic", "")
                                        technique = attack_entry.get("technique", "")
                                        id = attack_entry.get("id", "")
                                        if tactic and technique:
                                            if tactic in attack_dump:
                                                attack_dump[tactic].append((technique, id))
                                            else:
                                                attack_dump[tactic] = [(technique, id)]
                                            tactics.add(tactic)
                                            techniques.add(technique)
                                            techniques_id.add(id)

                                # Process MBC information
                                if "mbc" in meta:
                                    for mbc_entry in meta["mbc"]:
                                        objective = mbc_entry.get("objective", "")
                                        behavior = mbc_entry.get("behavior", "")
                                        id = mbc_entry.get("id", "")
                                        if objective and behavior:
                                            if objective in mbc_dump:
                                                mbc_dump[objective].append((behavior, id))
                                            else:
                                                mbc_dump[objective] = [(behavior, id)]
                                            mbc_objectives.add(objective)
                                            mbc_behaviors.add(behavior)
                                            mbc_behaviors_id.add(id)

            # return {
            #     'capabilities_all': json.dumps(capabilities_all, indent=2),
            #     'capabilities': list(capabilities),
            #     'namespaces': list(namespaces),
            #     'attack': json.dumps(attack, indent=2),
            #     'tactics': list(tactics),
            #     'techniques': list(techniques),
            #     'techniques_id': list(techniques_id),
            #     'mbc': json.dumps(mbc, indent=2),
            #     'mbc_objectives': list(mbc_objectives),
            #     'mbc_behaviors': list(mbc_behaviors),
            #     'mbc_behaviors_id': list(mbc_behaviors_id)
            # }

            capa_dump = self._replace_empty_keys(capa_dump)
            attack_dump = self._replace_empty_keys(attack_dump)
            mbc_dump = self._replace_empty_keys(mbc_dump)
            self.capa = CAPA(
                json.dumps(capa_dump, indent=2),
                list(capabilities),
                list(namespaces),
                json.dumps(attack_dump, indent=2),
                list(tactics),
                list(techniques),
                list(techniques_id),
                json.dumps(mbc_dump, indent=2),
                list(mbc_objectives),
                list(mbc_behaviors),
                list(mbc_behaviors_id),
            )
            self.log.debug(f"CAPA dump: {self.capa})")
            
        except Exception as e:
            self.log.error(f"Unexpected error in CAPA extraction: {str(e)}")
            # Try to clean up any process if possible
            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 == "ElasticsearchExporter":
            return self.capa
        elif exporter_type == "ClickHouseExporter":
            current_time = datetime.now(timezone.utc)
            
            # Prepare data for multiple tables
            tables_data = {
                'multi_table': True,  # Flag for multi-table export
                
                # Raw data table
                'raw': {
                    'table': 'redb_capa',
                    'data': [[
                        self.sha256,
                        self.md5,
                        self.sha1,
                        current_time,
                        self.capa.capa_dump,  # capa_dump
                        self.capa.attack_dump,            # attack_dump
                        self.capa.mbc_dump                # mbc_dump
                    ]],
                    'column_names': [
                        'sha256', 'md5', 'sha1', 'analysis_date',
                        'capa_dump', 'attack_dump', 'mbc_dump'
                    ],
                    'column_type_names': [
                        'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                        'DateTime64(3, \'UTC\')',
                        'JSON', 'JSON', 'JSON'
                    ]
                },
                
                # Capabilities table
                'capabilities': {
                    'table': 'redb_capa_capabilities',
                    'data': [
                        [self.sha256, self.md5, self.sha1, current_time, namespace, capability]
                        for namespace, capabilities in json.loads(self.capa.capa_dump).items()
                        for capability in capabilities
                    ],
                    'column_names': [
                        'sha256', 'md5', 'sha1', 'analysis_date',
                        'namespace', 'capability'
                    ],
                    'column_type_names': [
                        'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                        'DateTime64(3, \'UTC\')',
                        'LowCardinality(String)', 'LowCardinality(String)'
                    ]
                },
                
                # MITRE ATT&CK table
                'attack': {
                    'table': 'redb_capa_attack',
                    'data': [
                        [self.sha256, self.md5, self.sha1, current_time, 
                         tactic, technique[0], technique[1]]  # technique[0] is the name, technique[1] is the ID
                        for tactic, techniques in json.loads(self.capa.attack_dump).items()
                        for technique in techniques
                    ],
                    'column_names': [
                        'sha256', 'md5', 'sha1', 'analysis_date',
                        'tactic', 'technique', 'technique_id'
                    ],
                    'column_type_names': [
                        'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                        'DateTime64(3, \'UTC\')',
                        'LowCardinality(String)', 'LowCardinality(String)', 
                        'LowCardinality(String)'
                    ]
                },
                
                # MBC table
                'mbc': {
                    'table': 'redb_capa_mbc',
                    'data': [
                        [self.sha256, self.md5, self.sha1, current_time,
                         objective, behavior[0], behavior[1]]  # behavior[0] is the name, behavior[1] is the ID
                        for objective, behaviors in json.loads(self.capa.mbc_dump).items()
                        for behavior in behaviors
                    ],
                    'column_names': [
                        'sha256', 'md5', 'sha1', 'analysis_date',
                        'objective', 'behavior', 'behavior_id'
                    ],
                    'column_type_names': [
                        'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                        'DateTime64(3, \'UTC\')',
                        'LowCardinality(String)', 'LowCardinality(String)',
                        'LowCardinality(String)'
                    ]
                }
            }
            
            return tables_data

    def get_clickhouse_table(self) -> str:
        return "redb_capa"  # Return the main table name

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            self._extract_capa()
            return self.capa  # Return the extracted data instead of exporting directly
        except Exception as e:
            self.log.error(f"Error extracting CAPA: {e}")
            return None

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