Ionel Eduard Stan

37 papers A 1B 1C 7Journal 10Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE J. Biomed. Health Informatics
Ionel Eduard Stan, Daniela D'Auria, Paolo Napoletano
2026 J jnl
IEEE Consumer Electron. Mag.
Ionel Eduard Stan, Hamza Amrani, Paolo Napoletano, Daniela D'Auria
2025 C conf
TIME
Pietro Bellodi, Pietro Casavecchia, Alberto Paparella, Guido Sciavicco, Ionel Eduard Stan
2025 J jnl
CoRR
Enrico Marzano, Giovanni Pagliarini, Riccardo Pasini, Guido Sciavicco, Ionel Eduard Stan
2025 C conf
TIME
Mauro Milella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan
2024 C conf
TIME
Guillermo Badia, Carles Noguera, Alberto Paparella, Guido Sciavicco, Ionel Eduard Stan
2024 conf
ICTCS
Mauro Milella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan
2024 J jnl
Inf. Comput.
Giovanni Pagliarini, Simone Scaboro, Giuseppe Serra, Guido Sciavicco, Ionel Eduard Stan
2024 conf
CILC
Giovanni Pagliarini, Andrea Paradiso, Guido Sciavicco, Ionel Eduard Stan
2024 conf
OVERLAY
Giovanni Pagliarini, Edoardo Ponsanesi, Guido Sciavicco, Ionel Eduard Stan
2023 conf
itaDATA
Patrik Cavina, Federico Manzella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan
2023 conf
CLiC-it
Dario Del Fante, Federico Manzella, Guido Sciavicco, Ionel Eduard Stan
2023 C conf
TIME
Willem Conradie, Riccardo Monego, Emilio Muñoz-Velasco, Guido Sciavicco, Ionel Eduard Stan
2023 conf
AI*IA
Federico Manzella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan
2023 A conf
ECAI
Michele Ghiotti, Federico Manzella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan
2023 J jnl
Fuzzy Sets Syst.
Willem Conradie, Dario Della Monica, Emilio Muñoz-Velasco, Guido Sciavicco, Ionel Eduard Stan
2023 conf
OVERLAY@AI*IA
Giovanni Pagliarini, Andrea Paradiso, Sasha Rubin, Guido Sciavicco, Ionel Eduard Stan
2023 J jnl
CoRR
Guido Sciavicco, Ionel Eduard Stan
2023 J jnl
Artif. Intell. Medicine
Federico Manzella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan
2022 conf
AI*IA
Dario Della Monica, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan
2022 conf
OVERLAY@AI*IA
Mauro Milella, Giovanni Pagliarini, Andrea Paradiso, Ionel Eduard Stan
2022 C conf
TIME
Giovanni Pagliarini, Simone Scaboro, Giuseppe Serra, Guido Sciavicco, Ionel Eduard Stan
2022 conf
ICTCS
Ionel Eduard Stan, Guido Sciavicco, Emilio Muñoz-Velasco, Giovanni Pagliarini, Mauro Milella, Andrea Paradiso
2021 J jnl
Algorithms
Estrella Lucena-Sánchez, Guido Sciavicco, Ionel Eduard Stan
2021 C conf
TIME
Federico Manzella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan
2021 conf
OVERLAY@GandALF
Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan
2020 conf
OVERLAY
Dario Della Monica, Angelo Montanari, Guido Sciavicco, Ionel Eduard Stan
2020 J jnl
CoRR
Andrea Brunello, Guido Sciavicco, Ionel Eduard Stan
2020 C conf
TIME
Guido Sciavicco, Ionel Eduard Stan
2020 conf
RuleML+RR (Supplement)
Joanna Kaminska, Estrella Lucena-Sánchez, Guido Sciavicco, Ionel Eduard Stan
2020 conf
OVERLAY
Estrella Lucena-Sánchez, Guido Sciavicco, Ionel Eduard Stan
2020 conf
ICTCS
Willem Conradie, Dario Della Monica, Emilio Muñoz-Velasco, Guido Sciavicco, Ionel Eduard Stan
2019 B conf
JELIA
Andrea Brunello, Guido Sciavicco, Ionel Eduard Stan
2019 J jnl
Artif. Intell.
Emilio Muñoz-Velasco, Mercedes Pelegrín-García, Pietro Sala, Guido Sciavicco, Ionel Eduard Stan
2019 conf
OVERLAY@AI*IA
Estrella Lucena-Sánchez, Emilio Muñoz-Velasco, Guido Sciavicco, Ionel Eduard Stan, Alessandro Vaccari
2019 conf
IWINAC (2)
Guido Sciavicco, Ionel Eduard Stan, Alessandro Vaccari
2017 conf
ICTCS/CILC
Emilio Muñoz-Velasco, Guido Sciavicco, Ionel Eduard Stan
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"