Neculai Archip

15 papers A 1C 1Misc 1Journal 4Unranked 8
YearRankTypeTitle / Venue / Authors
2007 conf
ISBI
Francisco Javier Sánchez Castro, Olivier Clatz, Julien Dauguet, Neculai Archip, Jean-Philippe Thiran, Simon K. Warfield
2007 Misc conf
International Conference on Computational Science (1)
Nikos Chrisochoides, Andriy Fedorov, Andriy Kot, Neculai Archip, Daniel Goldberg-Zimring, Daniel F. Kacher, Stephen Whalen, Ron Kikinis, Ferenc A. Jolesz, Olivier Clatz, Simon K. Warfield, Peter M. Black, Alexandra J. Golby
2007 conf
MICCAI (2)
Neculai Archip, Servet Tatli, Paul R. Morrison, Ferenc A. Jolesz, Simon K. Warfield, Stuart G. Silverman
2007 J jnl
NeuroImage
Neculai Archip, Olivier Clatz, Stephen Whalen, Daniel F. Kacher, Andriy Fedorov, Andriy Kot, Nikos Chrisochoides, Ferenc A. Jolesz, Alexandra J. Golby, Peter M. Black, Simon K. Warfield
2006 conf
Image-Guided Procedures
Michael H. Wang, Robert N. Rohling, Neculai Archip, Brenda G. Clark
2006 J jnl
Comput. Methods Programs Biomed.
Neculai Archip, Robert Rohling, Vincent Dessenne, Pierre-Jean Erard, Lutz-Peter Nolte
2006 A conf
SC
Nikos Chrisochoides, Andriy Fedorov, Andriy Kot, Neculai Archip, Peter M. Black, Olivier Clatz, Alexandra J. Golby, Ron Kikinis, Simon K. Warfield
2006 conf
Image-Guided Procedures
Neculai Archip, Andriy Fedorov, Bryn Lloyd, Nikos Chrisochoides, Alexandra J. Golby, Peter M. Black, Simon K. Warfield
2006 conf
ICPADS (2)
Tharaka Devadithya, Kim K. Baldridge, Adam Birnbaum, Amitava Majumdar, Dong Ju Choi, Richard Wolski, Simon K. Warfield, Neculai Archip
2005 conf
MICCAI (2)
Neculai Archip, Robert Rohling, Peter Cooperberg, Hamid Tahmasebpour, Simon K. Warfield
2004 conf
MICCAI (2)
Laurence Smith, Mike Pleasance, Rosalyn Seeton, Neculai Archip, Robert Rohling
2003 conf
CARS
Neculai Archip, Robert Rohling
2002 J jnl
IEEE Trans. Medical Imaging
Neculai Archip, Pierre-Jean Erard, Michael Egmont-Petersen, Jean-Marie Haefliger, Jean-Francois Germond
2002 J jnl
Comput. Animat. Virtual Worlds
Neculai Archip, Pierre-Jean Erard, Jean-Marie Haefliger, Jean-Francois Germond
2001 C conf
CAIP
Nabil Ouerhani, Neculai Archip, Heinz Hügli, Pierre-Jean Erard
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"