Octavian Morariu

28 papers Journal 8Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Eng. Appl. Artif. Intell.
Ionut Lentoiu, Silviu Raileanu, Theodor Borangiu, Mihnea Constantinescu, Octavian Morariu
2020 conf
SOHOMA
Theodor Borangiu, Radu F. Babiceanu, Silviu Raileanu, Octavian Morariu, Florin Anton, Cristina Morariu, Silvia Anton
2020 J jnl
Comput. Ind.
Cristina Morariu, Octavian Morariu, Silviu Raileanu, Theodor Borangiu
2019 conf
SOHOMA
Silviu Raileanu, Theodor Borangiu, Nick Ivanescu, Octavian Morariu, Florin Daniel Anton
2018 conf
SOHOMA
Silviu Raileanu, Florin Daniel Anton, Theodor Borangiu, Octavian Morariu, Iulia Iacob
2018 J jnl
Int. J. Comput. Integr. Manuf.
Octavian Morariu, Cristina Morariu, Theodor Borangiu
2017 conf
SOHOMA
Octavian Morariu, Cristina Morariu, Theodor Borangiu, Silviu Raileanu
2017 J jnl
J. Intell. Manuf.
Silviu Raileanu, Florin Daniel Anton, Alexandru Iatan, Theodor Borangiu, Silvia Anton, Octavian Morariu
2016 conf
IESS
Theodor Borangiu, Silviu Raileanu, Iulia Voinescu, Octavian Morariu
2016 conf
SOHOMA
Theodor Borangiu, Andrei Silisteanu, Silviu Raileanu, Octavian Morariu
2016 conf
RAAD
Silviu Raileanu, Theodor Borangiu, Octavian Morariu
2016 J jnl
Comput. Ind.
Octavian Morariu, Theodor Borangiu, Silviu Raileanu, Cristina Morariu
2016 conf
IESS
Octavian Morariu, Theodor Borangiu, Cristina Morariu, Silviu Raileanu
2016 J jnl
J. Intell. Manuf.
Octavian Morariu, Cristina Morariu, Theodor Borangiu
2015 conf
IESS
Theodor Borangiu, Cristina Morariu, Octavian Morariu, Monica Dragoicea, Silviu Raileanu, Iulia Voinescu, Gheorghe Militaru, Anca-Alexandra Purcarea
2015 ch.
Service Orientation in Holonic and Multi-agent Manufacturing
Octavian Morariu, Theodor Borangiu, Silviu Raileanu
2015 conf
SOHOMA
Cristina Morariu, Octavian Morariu, Theodor Borangiu
2015 J jnl
Comput. Ind.
Octavian Morariu, Theodor Borangiu, Silviu Raileanu
2014 conf
AQTR
Silviu Raileanu, Theodor Borangiu, Octavian Morariu, Octavian Stocklosa
2014 conf
AQTR
Octavian Morariu, Silviu Raileanu, Cristina Morariu, Theodor Borangiu
2014 conf
RAAD
Theodor Borangiu, Silviu Raileanu, Nick-Andrei Ivanescu, Octavian Stocklosa, Octavian Morariu
2014 ch.
Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics
Octavian Morariu, Cristina Morariu, Theodor Borangiu
2013 conf
HoloMAS
Cristina Morariu, Octavian Morariu, Theodor Borangiu
2013 J jnl
Comput. Ind.
Cristina Morariu, Octavian Morariu, Theodor Borangiu
2013 ch.
Service Orientation in Holonic and Multi Agent Manufacturing and Robotics
Cristina Morariu, Octavian Morariu, Theodor Borangiu, Silviu Raileanu
2013 conf
DEXA Workshops
Octavian Morariu, Theodor Borangiu, Cristina Morariu
2012 conf
CloudCP@EuroSys
Octavian Morariu, Cristina Morariu, Theodor Borangiu
2012 ch.
Service Orientation in Holonic and Multi-Agent Manufacturing Control
Cristina Morariu, Octavian Morariu, Theodor Borangiu
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"