Cathy Macharis

21 papers Misc 1Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
J. Oper. Res. Soc.
He Huang, Peter Burgherr, Cathy Macharis
2025 J jnl
Int. Trans. Oper. Res.
He Huang, Shiqi Sun, Koen Mommens, Cathy Macharis
2024 J jnl
Ann. Oper. Res.
He Huang, Shary Heuninckx, Cathy Macharis
2023 conf
ICDSST
He Huang, Shiqi Sun, Lina Liu, Koen Mommens, Cathy Macharis
2021 conf
ICDSST
He Huang, Koen Mommens, Philippe Lebeau, Cathy Macharis
2020 Misc conf
WSC
Tomas Ambra, Cathy Macharis
2020 conf
ICDSST
He Huang, Philippe Lebeau, Cathy Macharis
2019 J jnl
IEEE Trans. Intell. Transp. Syst.
Sheida Hadavi, Sara Verlinde, Wouter Verbeke, Cathy Macharis, Tias Guns
2019 J jnl
Int. J. Prod. Res.
Tomas Ambra, An Caris, Cathy Macharis
2018 J jnl
Eur. J. Oper. Res.
Gino Baudry, Cathy Macharis, Thomas Vallée
2016 conf
ICCL
Katrien Ramaekers, Lotte Verdonck, An Caris, Dries Meers, Cathy Macharis
2016 conf
ANT/SEIT
Koen Mommens, Tom van Lier, Cathy Macharis
2014 J jnl
Comput. Environ. Urban Syst.
Cathy Macharis, Joep Crompvoets
2013 J jnl
Comput. Ind.
An Caris, Cathy Macharis, Gerrit K. Janssens
2013 J jnl
Comput. Ind.
Ethem Pekin, Cathy Macharis, Dries Meers, Piet Rietveld
2013 J jnl
Eur. J. Oper. Res.
Klaas De Brucker, Cathy Macharis, Alain Verbeke
2012 J jnl
Decis. Support Syst.
Cathy Macharis, Laurence Turcksin, Kenneth Lebeau
2009 J jnl
Int. J. Spatial Data Infrastructures Res.
Tessa Geudens, Cathy Macharis, Frank Plastria, Joep Crompvoets
2004 J jnl
Eur. J. Oper. Res.
Cathy Macharis, Y. M. Bontekoning
2004 J jnl
Eur. J. Oper. Res.
Cathy Macharis, Johan Springael, Klaas De Brucker, Alain Verbeke
1998 J jnl
Eur. J. Oper. Res.
Jean-Pierre Brans, Cathy Macharis, Pierre L. Kunsch, Aline Chevalier, Markus Schwaninger
redb/extractors/js_extractors/js_deobfuscation.py
← Index redb/extractors/js_extractors/js_deobfuscation.py python
import hashlib
import inspect
import re
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.js_extractor import JSExtractor
from redb.extractors.js_extractors.js_patterns import PATTERNS

# String literals of 4+ characters; only used by the deobfuscation diff to count
# strings revealed after deobfuscation. Compiled once at module load.
_STRING_LITERAL_4PLUS_RE = re.compile(r"[\"\']([^\"\']{4,})[\"\']")


class JSDeobfuscationExtractor(JSExtractor):
    """Compute pre/post-deobfuscation metrics for a JS sample.

    The actual deobfuscation pass (external tool with jsbeautifier fallback)
    lives on `JSContext.deobfuscated` and is cached per sample, so any other
    extractor that needs the deobfuscated text reads the same value without
    re-running the subprocess. Configure the external tool via env vars:
        JS_DEOBFUSCATOR_PATH    Path or name (default: webcrack)
        JS_DEOBFUSCATE_TIMEOUT  Seconds (default: 60)
    """

    def __init__(
        self, filepath, log, exporters=None, index_prefix=None,
        known_benign=False, known_malicious=False, source=None, context=None,
    ):
        super().__init__(
            filepath, log, exporters, index_prefix,
            known_benign, known_malicious, source, context=context,
        )
        self.deobfuscation_result = None
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def extract(self):
        src = self.js_source
        if not src:
            return None

        deobfuscated, deobfuscator_used = self._context.deobfuscated
        if deobfuscated is None:
            return None

        original_size = len(src)
        original_entropy = self._context.text_entropy
        deobfuscated_size = len(deobfuscated)
        deobfuscated_entropy = self._calculate_text_entropy(deobfuscated)
        size_change_ratio = round(deobfuscated_size / original_size, 4) if original_size else 0.0

        # Strings revealed by deobfuscation: matched literals are extracted from
        # both versions and the set difference is the count of "new" strings.
        original_strings = set(_STRING_LITERAL_4PLUS_RE.findall(src))
        deobfuscated_strings = set(_STRING_LITERAL_4PLUS_RE.findall(deobfuscated))
        new_strings = deobfuscated_strings - original_strings

        # Suspicious APIs revealed by deobfuscation. Both sides of the diff
        # come from JSContext caches: the raw scan is computed once for the
        # whole pipeline; the deobfuscated scan is computed once and reused
        # by JSSuspiciousAPIsExtractor's revealed_by_deobf rows.
        original_apis = {n for n in self._context.scan if n in PATTERNS}
        deobfuscated_apis = set(self._context.scan_deobfuscated)
        new_apis = deobfuscated_apis - original_apis

        deobfuscated_sha256 = hashlib.sha256(deobfuscated.encode('utf-8')).hexdigest()

        self.deobfuscation_result = {
            'deobfuscator_used': deobfuscator_used,
            'deobfuscation_successful': True,
            'original_size': original_size,
            'deobfuscated_size': deobfuscated_size,
            'size_change_ratio': size_change_ratio,
            'original_entropy': original_entropy,
            'deobfuscated_entropy': deobfuscated_entropy,
            'new_strings_found': len(new_strings),
            'new_apis_found': len(new_apis),
            'deobfuscated_sha256': deobfuscated_sha256,
        }
        return self.deobfuscation_result

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ClickHouseExporter":
            if not self.deobfuscation_result:
                return None

            r = self.deobfuscation_result
            current_time = datetime.now(timezone.utc)
            data = [[
                self.sha256,
                r['deobfuscator_used'],
                int(r['deobfuscation_successful']),
                r['original_size'],
                r['deobfuscated_size'],
                r['size_change_ratio'],
                r['original_entropy'],
                r['deobfuscated_entropy'],
                r['new_strings_found'],
                r['new_apis_found'],
                r['deobfuscated_sha256'],
                current_time,
            ]]

            column_names = [
                "sha256", "deobfuscator_used", "deobfuscation_successful",
                "original_size", "deobfuscated_size", "size_change_ratio",
                "original_entropy", "deobfuscated_entropy",
                "new_strings_found", "new_apis_found",
                "deobfuscated_sha256", "analysis_date",
            ]

            column_type_names = [
                "FixedString(64)", "LowCardinality(String)", "UInt8",
                "UInt64", "UInt64", "Float64",
                "Float64", "Float64",
                "UInt32", "UInt32",
                "FixedString(64)", "DateTime64(3, 'UTC')",
            ]

            return (data, column_names, column_type_names)

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