Manel Zarrouk

34 papers A 1B 6Misc 1Journal 5Unranked 18
YearRankTypeTitle / Venue / Authors
2024 conf
WI/IAT
Vincent Beugnet, Nathalie Pernelle, Manel Zarrouk, Cyrille Enderli, Ludovic Grivault
2023 conf
IC
Vincent Beugnet, Nathalie Pernelle, Manel Zarrouk, Cyrille Enderli, Ludovic Grivault
2023 conf
HCI (10)
Annanda Sousa, Karen Young, Mathieu d'Aquin, Manel Zarrouk, Jennifer Holloway
2023 J jnl
CoRR
Annanda Sousa, Karen Young, Mathieu d'Aquin, Manel Zarrouk, Jennifer Holloway
2022 ed.
LT-EDI
Bharathi Raja Chakravarthi, B. Bharathi, John P. McCrae, Manel Zarrouk, Kalika Bali, Paul Buitelaar
2021 conf
DG.O
Heike Vornhagen, Manel Zarrouk, Brian Davis, Karen Young
2021 conf
ACL/IJCNLP (Findings)
Lucas Azevedo, Mathieu d'Aquin, Brian Davis, Manel Zarrouk
2021 ed.
LT-EDI@EACL
Bharathi Raja Chakravarthi, John P. McCrae, Manel Zarrouk, Rajeev K. Bali, Paul Buitelaar
2020 conf
IWLTP@LREC
Annanda Sousa, Nicolas Ballier, Thomas Gaillat, Bernardo Stearns, Manel Zarrouk, Andrew J. Simpkin, Manon Bouyé
2020 conf
AI4Function@IJCAI
Annanda Sousa, Mathieu d'Aquin, Manel Zarrouk, Jennifer Holloway
2020 conf
JEP-TALN-RECITAL (Demos)
Thomas Gaillat, Nicolas Ballier, Annanda Sousa, Manon Bouyé, Andrew J. Simpkin, Bernardo Stearns, Manel Zarrouk
2019 B conf
EC-TEL
Nicolas Ballier, Thomas Gaillat, Andrew J. Simpkin, Bernardo Stearns, Manon Bouyé, Manel Zarrouk
2018 B conf
WI
Hazem Safwat, Brian Davis, Manel Zarrouk
2018 conf
CORIA-TALN-RJC (TALN 2)
Thomas Gaillat, Annanda Sousa, Manel Zarrouk, Brian Davis
2018 conf
ECONLP@ACL
Thomas Gaillat, Bernardo Stearns, Gopal Sridhar, Ross McDermott, Manel Zarrouk, Brian Davis
2018 conf
CNL
Hazem Safwat, Manel Zarrouk, Brian Davis
2018 B conf
LREC
Siamak Barzegar, Brian Davis, Manel Zarrouk, Siegfried Handschuh, André Freitas
2018 conf
DG.O
Heike Vornhagen, Brian Davis, Manel Zarrouk
2018 B conf
LREC
Thomas Gaillat, Manel Zarrouk, André Freitas, Brian Davis
2018 conf
WWW (Companion Volume)
Macedo Maia, Siegfried Handschuh, André Freitas, Brian Davis, Ross McDermott, Manel Zarrouk, Alexandra Balahur
2017 conf
SemEval@ACL
Keith Cortis, André Freitas, Tobias Daudert, Manuela Hürlimann, Manel Zarrouk, Siegfried Handschuh, Brian Davis
2017 J jnl
J. Lang. Model.
Stergios Chatzikyriakidis, Mathieu Lafourcade, Lionel Ramadier, Manel Zarrouk
2016 conf
SEMANTiCS (Posters, Demos, SuCCESS)
Laurentiu Vasiliu, Ross McDermott, Malek Ben Khaled, Tobias Daudert, David Byrne, Manuela Hürlimann, Sergio Fernández, Angelo Cavallini, André Freitas, Frederico Carol, Manel Zarrouk, Brian Davis
2015
Manel Zarrouk
2014 A conf
EACL
Mathieu Lafourcade, Manel Zarrouk, Alain Joubert
2014 conf
TALN (1)
Lionel Ramadier, Manel Zarrouk, Mathieu Lafourcade, Antoine Micheau
2014 B conf
COLING
Manel Zarrouk, Mathieu Lafourcade
2014 J jnl
Computación y Sistemas
Lionel Ramadier, Manel Zarrouk, Mathieu Lafourcade, Antoine Micheau
2014 B conf
LREC
Manel Zarrouk, Mathieu Lafourcade
2014 conf
CICLing (1)
Lionel Ramadier, Manel Zarrouk, Mathieu Lafourcade, Antoine Micheau
2013 conf
TALN (1)
Manel Zarrouk, Mathieu Lafourcade, Alain Joubert
2013 Misc conf
RANLP
Manel Zarrouk, Mathieu Lafourcade, Alain Joubert
2013 J jnl
Computación y Sistemas
Manel Zarrouk, Mathieu Lafourcade, Alain Joubert
2012 J jnl
CoRR
Manel Zarrouk, Med Salah Gouider
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