Maciej Rybinski

40 papers A* 3A 4Misc 3Journal 15Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Necva Bölücü, Jessica Irons, Changhyun Lee, Brian Jin, Maciej Rybinski, Huichen Yang, Andreas Duenser, Stephen Wan
2026 conf
EACL (System Demonstrations)
Necva Bölücü, Jessica Irons, Changhyun Lee, Brian Jin, Maciej Rybinski, Huichen Yang, Andreas Duenser, Stephen Wan
2025 conf
ACL (1)
Yidong Gan, Maciej Rybinski, Ben Hachey, Jonathan K. Kummerfeld
2025 conf
EMNLP (Findings)
Nathan Inkiriwang, Necva Bölücü, Garth Tarr, Maciej Rybinski
2025 A conf
CIKM
Maciej Rybinski, Necva Bölücü, Huichen Yang, Stephen Wan
2024 J jnl
CoRR
Yidong Gan, Maciej Rybinski, Ben Hachey, Jonathan K. Kummerfeld
2024 J jnl
Inf. Process. Manag.
Necva Bölücü, Maciej Rybinski, Xiang Dai, Stephen Wan
2024 J jnl
J. Biomed. Informatics
Maciej Rybinski, Wojciech Kusa, Sarvnaz Karimi, Allan Hanbury
2024 conf
KGSWC
Jorge Rodríguez-Revello, Cristóbal Barba-González, Maciej Rybinski, Ismael Navas-Delgado
2023 A conf
CIKM
Maciej Rybinski, Vincent Nguyen, Sarvnaz Karimi
2023 conf
BioNLP@ACL
Mong Yuan Sim, Xiang Dai, Maciej Rybinski, Sarvnaz Karimi
2023 J jnl
Expert Syst. Appl.
Jorge Rodríguez-Revello, Cristóbal Barba-González, Maciej Rybinski, Ismael Navas-Delgado
2023 conf
TREC
Maciej Rybinski, Sarvnaz Karimi
2023 conf
IJCNLP (1)
Vincent Nguyen, Sarvnaz Karimi, Maciej Rybinski, Zhenchang Xing
2023 A* conf
SIGIR
Maciej Rybinski, Stephen Wan, Sarvnaz Karimi, Cécile Paris, Brian Jin, Neil I. Huth, Peter J. Thorburn, Dean P. Holzworth
2023 conf
EMNLP (Findings)
Necva Bölücü, Maciej Rybinski, Stephen Wan
2022 A* conf
SIGIR
Maciej Rybinski, Liam Watts, Sarvnaz Karimi
2022 conf
TREC
Vincent Nguyen, Maciej Rybinski, Sarvnaz Karimi
2022 J jnl
J. Biomed. Informatics
Vincent Nguyen, Maciej Rybinski, Sarvnaz Karimi, Zhenchang Xing
2022 Misc conf
ALTA
Aleney Khoo, Maciej Rybinski, Sarvnaz Karimi, Adam G. Dunn
2021 conf
TREC
Maciej Rybinski, Vincent Nguyen, Sarvnaz Karimi
2021 Misc conf
ALTA
Vincent Nguyen, Sarvnaz Karimi, Maciej Rybinski, Zhenchang Xing
2021 conf
CLEF (Working Notes)
Diego Mollá, Urvashi Khanna, Dima Galat, Vincent Nguyen, Maciej Rybinski
2021 J jnl
CoRR
Diego Mollá, Urvashi Khanna, Dima Galat, Vincent Nguyen, Maciej Rybinski
2021 A* conf
SIGIR
Maciej Rybinski, Sarvnaz Karimi, Aleney Khoo
2021 A conf
CIKM
Xiang Dai, Maciej Rybinski, Sarvnaz Karimi
2021 A conf
CIKM
Maciej Rybinski, Sarvnaz Karimi
2020 J jnl
BMC Bioinform.
Maciej Rybinski, Sarvnaz Karimi, Vincent Nguyen, Cécile Paris
2020 conf
TREC
Maciej Rybinski, Sarvnaz Karimi
2020 J jnl
J. Biomed. Informatics
Maciej Rybinski, Jerry Xu, Sarvnaz Karimi
2020 J jnl
CoRR
Vincent Nguyen, Maciej Rybinski, Sarvnaz Karimi, Zhenchang Xing
2019 conf
TREC
Maciej Rybinski, Sarvnaz Karimi, Cécile Paris
2019 J jnl
BMC Bioinform.
Ismael Navas-Delgado, José García-Nieto, Esteban López-Camacho, Maciej Rybinski, Rocio Lavado-Valenzuela, Miguel Ángel Berciano Guerrero, José Francisco Aldana-Montes
2018 conf
OM@ISWC
Ernesto Jiménez-Ruiz, Tzanina Saveta, Ondrej Zamazal, Sven Hertling, Michael Röder, Irini Fundulaki, Axel-Cyrille Ngonga Ngomo, Mohamed Ahmed Sherif, Amina Annane, Zohra Bellahsene, Sadok Ben Yahia, Gayo Diallo, Daniel Faria, Marouen Kachroudi, Abderrahmane Khiat, Patrick Lambrix, Huanyu Li, Maximilian Mackeprang, Majid Mohammadi, Maciej Rybinski, Booma Sowkarthiga Balasubramani, Cássia Trojahn
2018 Misc conf
IDC
Maciej Rybinski, William Miller, Javier Del Ser, Miren Nekane Bilbao, José Francisco Aldana-Montes
2017 J jnl
J. Intell. Inf. Syst.
Maciej Rybinski, José Francisco Aldana-Montes
2016 conf
OM@ISWC
Maciej Rybinski, María del Mar Roldán-García, José García-Nieto, José Francisco Aldana-Montes
2016 J jnl
J. Biomed. Semant.
Maciej Rybinski, José Francisco Aldana-Montes
2015 J jnl
Database J. Biol. Databases Curation
Ismael Navas-Delgado, María Jesús García-Godoy, Esteban López-Camacho, Maciej Rybinski, Armando Reyes-Palomares, Miguel Angel Medina, José Francisco Aldana-Montes
2014 J jnl
BMC Bioinform.
Maciej Rybinski, José Francisco Aldana-Montes
redb/extractors/js_extractors/js_strings.py
← Index redb/extractors/js_extractors/js_strings.py python
import base64
import bisect
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 STRING_PATTERNS, line_offsets

# Local aliases for the compiled patterns this extractor uses. Defined and
# compiled exactly once in js_patterns.STRING_PATTERNS.
_HEX_STRING_RE = STRING_PATTERNS["hex_escape_seq"]
_UNICODE_STRING_RE = STRING_PATTERNS["unicode_escape_seq"]
_CHARCODE_RE = STRING_PATTERNS["charcode_call"]
_BASE64_STRING_RE = STRING_PATTERNS["base64_quoted"]
_CONCAT_STRING_RE = STRING_PATTERNS["concat_chain"]

# Tokeniser used inside _reconstruct_concat to pull each quoted part out of a
# matched concat chain. Compiled once at module load (was recompiled on every
# concat match before).
_CONCAT_TOKEN_RE = re.compile(r'["\']([^"\']*)["\']')


class JSStringsExtractor(JSExtractor):

    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.string_findings = None
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _decode_hex_string(self, hex_str):
        """Decode \\x41\\x42 style hex strings."""
        try:
            # Remove \\x prefix and decode
            clean = hex_str.replace('\\x', '')
            return bytes.fromhex(clean).decode('utf-8', errors='replace')
        except Exception:
            return None

    def _decode_unicode_string(self, uni_str):
        """Decode \\u0041\\u0042 style unicode strings."""
        try:
            return uni_str.encode('utf-8').decode('unicode_escape')
        except Exception:
            return None

    def _decode_charcode(self, charcode_str):
        """Decode String.fromCharCode(72, 101, 108, ...) sequences."""
        try:
            codes = [int(c.strip()) for c in charcode_str.split(',') if c.strip().isdigit()]
            return ''.join(chr(c) for c in codes if 0 <= c <= 0x10FFFF)
        except Exception:
            return None

    def _decode_base64(self, b64_str):
        """Attempt to decode base64 string."""
        try:
            decoded = base64.b64decode(b64_str)
            # Check if result is printable text
            text = decoded.decode('utf-8', errors='strict')
            # Only return if it looks like text (>80% printable)
            printable = sum(1 for c in text if c.isprintable() or c in '\n\r\t')
            if printable / len(text) > 0.8:
                return text
        except Exception:
            pass
        return None

    def _reconstruct_concat(self, concat_match):
        """Reconstruct concatenated string parts."""
        try:
            parts = _CONCAT_TOKEN_RE.findall(concat_match)
            return ''.join(parts)
        except Exception:
            return None

    def _find_line_number(self, match_start):
        """1-indexed line number for `match_start`, looked up in O(log L) via
        bisect over `self._line_offsets` (built once per extract() call).

        Replaces the historical `self.js_source[:match_start].count('\\n') + 1`
        which was O(N) per call and quadratic across all matches in a sample.
        """
        return bisect.bisect_right(self._line_offsets, match_start)

    def _scan_text(self, text):
        """Run every encoded-string pattern over `text` and return a list of
        finding dicts. Stateless apart from the per-call `_line_offsets` cache,
        which `_find_line_number` reads — callers must reset it before invoking
        this so line numbers reference the text being scanned, not the previous
        one.
        """
        findings = []

        # Hex-encoded strings
        for m in _HEX_STRING_RE.finditer(text):
            raw = m.group()
            decoded = self._decode_hex_string(raw)
            if decoded and len(decoded) >= 4:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'hex',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # Unicode-encoded strings
        for m in _UNICODE_STRING_RE.finditer(text):
            raw = m.group()
            decoded = self._decode_unicode_string(raw)
            if decoded and len(decoded) >= 3:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'unicode',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # String.fromCharCode sequences
        for m in _CHARCODE_RE.finditer(text):
            raw = m.group()
            decoded = self._decode_charcode(m.group(1))
            if decoded and len(decoded) >= 4:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'charcode',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # Base64-encoded strings
        for m in _BASE64_STRING_RE.finditer(text):
            raw = m.group(0)
            b64_val = m.group(1)
            decoded = self._decode_base64(b64_val)
            if decoded and len(decoded) >= 10:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'base64',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # Concatenated strings (reassembled)
        for m in _CONCAT_STRING_RE.finditer(text):
            raw = m.group()
            reconstructed = self._reconstruct_concat(raw)
            if reconstructed and len(reconstructed) >= 20:
                findings.append({
                    'string': reconstructed[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'concat',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(reconstructed),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(reconstructed),
                })

        return findings

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

        # Pass 1: raw source. _line_offsets is keyed off whichever text is
        # currently being scanned so _find_line_number resolves to that text.
        self._line_offsets = line_offsets(src)
        findings = self._scan_text(src)

        # Pass 2: deobfuscated text, when the deobfuscator produced something
        # meaningfully different. Same patterns, but a different surface — for
        # samples where the encoded payload is hidden behind an outer wrapper
        # (e.g. array.join() + eval in Vjw0rm/WSH-RAT) only this pass yields
        # any rows at all.
        deobf_text, _ = self._context.deobfuscated
        if deobf_text and deobf_text != src:
            self._line_offsets = line_offsets(deobf_text)
            findings.extend(self._scan_text(deobf_text))

        if not findings:
            return None

        # Deduplicate by decoded string value (raw pass wins on collision: it
        # comes first in `findings`). A string that surfaces only in the
        # deobfuscated text still gets persisted, which is the whole point of
        # the second pass.
        seen_values = set()
        deduped = []
        for f in findings:
            val_key = f['string'][:100]
            if val_key not in seen_values:
                seen_values.add(val_key)
                deduped.append(f)

        self.string_findings = deduped[:500]  # Limit per file
        # Publish to the shared context so post-loop consumers (notably the IOC
        # plumbing in workers.py) can scrape the decoded strings without
        # holding a reference to this extractor instance.
        self._context.decoded_strings = self.string_findings
        return self.string_findings

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

            data = []
            for f in self.string_findings:
                data.append([
                    self.sha256,
                    f['string'],
                    f['string_raw'],
                    f['string_encoding'],
                    f['string_offset'],
                    f['string_length'],
                    f['string_raw_length'],
                    f['string_entropy'],
                ])

            column_names = [
                "sha256",
                "string",
                "string_raw",
                "string_encoding",
                "string_offset",
                "string_length",
                "string_raw_length",
                "string_entropy",
            ]

            column_type_names = [
                "FixedString(64)",
                "String",
                "String",
                "LowCardinality(String)",
                "UInt64",
                "UInt32",
                "UInt32",
                "Float32",
            ]

            return (data, column_names, column_type_names)

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