Oleg Mazonka

23 papers A 4C 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Oleg Mazonka, Eduardo Chielle, Mohammed Nabeel, Homer Gamil, Michail Maniatakos
2025 A conf
DATE
Homer Gamil, Oleg Mazonka, Michail Maniatakos
2024 J jnl
ACM Trans. Embed. Comput. Syst.
Eduardo Chielle, Oleg Mazonka, Homer Gamil, Michail Maniatakos
2024 conf
ACM Great Lakes Symposium on VLSI
Oleg Mazonka, Mohammed Nabeel Thari Moopan, Michail Maniatakos
2024 A conf
DATE
Eduardo Chielle, Oleg Mazonka, Michail Maniatakos
2023 conf
ISQED
Deepraj Soni, Mohammed Nabeel, Homer Gamil, Oleg Mazonka, Brandon Reagen, Ramesh Karri, Michail Maniatakos
2022 A conf
ICCAD
Eduardo Chielle, Oleg Mazonka, Homer Gamil, Michail Maniatakos
2022 J jnl
CoRR
Eduardo Chielle, Oleg Mazonka, Homer Gamil, Michail Maniatakos
2022 J jnl
IEEE Trans. Dependable Secur. Comput.
Eduardo Chielle, Nektarios Georgios Tsoutsos, Oleg Mazonka, Michail Maniatakos
2022 A conf
ICCAD
Oleg Mazonka, Eduardo Chielle, Deepraj Soni, Michail Maniatakos
2022 J jnl
CoRR
Oleg Mazonka
2021 J jnl
IEEE Access
Esha Sarkar, Eduardo Chielle, Gamze Gürsoy, Oleg Mazonka, Mark Gerstein, Michail Maniatakos
2020 J jnl
IEEE Access
Oleg Mazonka, Esha Sarkar, Eduardo Chielle, Nektarios Georgios Tsoutsos, Michail Maniatakos
2018 J jnl
IACR Cryptol. ePrint Arch.
Eduardo Chielle, Oleg Mazonka, Nektarios Georgios Tsoutsos, Michail Maniatakos
2017 C conf
ICCD
Nektarios Georgios Tsoutsos, Oleg Mazonka, Michail Maniatakos
2016 J jnl
IEEE Trans. Inf. Forensics Secur.
Oleg Mazonka, Nektarios Georgios Tsoutsos, Michail Maniatakos
2015 J jnl
IACR Cryptol. ePrint Arch.
Oleg Mazonka, Nektarios Georgios Tsoutsos, Michail Maniatakos
2014 J jnl
CoRR
Oleg Mazonka, Vlad Popov
2013 J jnl
CoRR
Vlad Popov, Oleg Mazonka
2011 J jnl
CoRR
Oleg Mazonka, Alex Kolodin
2011 J jnl
Complex Syst.
Oleg Mazonka
2009 J jnl
CoRR
Oleg Mazonka
2003 J jnl
CoRR
Oleg Mazonka, Daniel B. Cristofani
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"