Kalin Stefanov

50 papers A* 8A 2B 13Journal 21Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
CHI
Kalin Stefanov, Andre Ky Pham, Antony Smith Loose, Lucy M. Robertson-Bell, Louisa Jane Vaughan Willoughby
2025 J jnl
CoRR
Kaustubh Kundu, Hrishav Bakul Barua, Lucy M. Robertson-Bell, Zhixi Cai, Kalin Stefanov
2025 J jnl
CoRR
Zekai Shi, Zhixi Cai, Kalin Stefanov
2025 A* conf
CHI
Ruth Galan Nagassa, Andre Ky Pham, Matthew Butler, Leona Holloway, Kalin Stefanov, Skye de Vent, Kim Marriott
2025 A conf
WACV
Hrishav Bakul Barua, Kalin Stefanov, KokSheik Wong, Abhinav Dhall, Ganesh Krishnasamy
2025 J jnl
CoRR
Hrishav Bakul Barua, Kalin Stefanov, Ganesh Krishnasamy, KokSheik Wong, Abhinav Dhall
2025 J jnl
IEEE Trans. Multim.
Mohammad Adiban, Kalin Stefanov, Sabato Marco Siniscalchi, Giampiero Salvi
2025 conf
APSIPA
Jiayu Shen, Kalin Stefanov, Vee Yee Chong, Lay-Ki Soon, KokSheik Wong
2024 A* conf
ACM Multimedia
Zhixi Cai, Abhinav Dhall, Shreya Ghosh, Munawar Hayat, Dimitrios Kollias, Kalin Stefanov, Usman Tariq
2024 J jnl
CoRR
Zhixi Cai, Abhinav Dhall, Shreya Ghosh, Munawar Hayat, Dimitrios Kollias, Kalin Stefanov, Usman Tariq
2024 J jnl
CoRR
Hrishav Bakul Barua, Kalin Stefanov, Lemuel Lai En Che, Abhinav Dhall, KokSheik Wong, Ganesh Krishnasamy
2024 A* conf
ACM Multimedia
Zhixi Cai, Shreya Ghosh, Aman Pankaj Adatia, Munawar Hayat, Abhinav Dhall, Tom Gedeon, Kalin Stefanov
2024 J jnl
CoRR
Hrishav Bakul Barua, Kalin Stefanov, KokSheik Wong, Abhinav Dhall, Ganesh Krishnasamy
2024 J jnl
CoRR
Hrishav Bakul Barua, Ganesh Krishnasamy, KokSheik Wong, Abhinav Dhall, Kalin Stefanov
2024 B conf
ICIP
Hrishav Bakul Barua, Ganesh Krishnasamy, KokSheik Wong, Abhinav Dhall, Kalin Stefanov
2024 J jnl
CoRR
Mahsa Salehi, Kalin Stefanov, Ehsan Shareghi
2024 B conf
ICMI
Kalin Stefanov, Yukiko I. Nakano, Chisa Kobayashi, Ibuki Hoshina, Tatsuya Sakato, Fumio Nihei, Chihiro Takayama, Ryo Ishii, Masatsugu Tsujii
2023 J jnl
CoRR
Zhixi Cai, Shreya Ghosh, Abhinav Dhall, Tom Gedeon, Kalin Stefanov, Munawar Hayat
2023 J jnl
CoRR
Zhixi Cai, Shreya Ghosh, Aman Pankaj Adatia, Munawar Hayat, Abhinav Dhall, Kalin Stefanov
2023 conf
APSIPA ASC
Hrishav Bakul Barua, Ganesh Krishnasamy, KokSheik Wong, Kalin Stefanov, Abhinav Dhall
2023 J jnl
CoRR
Hrishav Bakul Barua, Ganesh Krishnasamy, KokSheik Wong, Kalin Stefanov, Abhinav Dhall
2023 A* conf
CVPR
Zhixi Cai, Shreya Ghosh, Kalin Stefanov, Abhinav Dhall, Jianfei Cai, Hamid Rezatofighi, Reza Haffari, Munawar Hayat
2023 J jnl
CoRR
Mohammad Adiban, Kalin Stefanov, Sabato Marco Siniscalchi, Giampiero Salvi
2022 J jnl
CoRR
Zhixi Cai, Kalin Stefanov, Abhinav Dhall, Munawar Hayat
2022 A* conf
ACM Multimedia
Garima Sharma, Kalin Stefanov, Abhinav Dhall, Jianfei Cai
2022 A conf
BMVC
Mohammad Adiban, Kalin Stefanov, Sabato Marco Siniscalchi, Giampiero Salvi
2022 J jnl
CoRR
Mohammad Adiban, Kalin Stefanov, Sabato Marco Siniscalchi, Giampiero Salvi
2022 J jnl
CoRR
Zhixi Cai, Shreya Ghosh, Kalin Stefanov, Abhinav Dhall, Jianfei Cai, Hamid Rezatofighi, Reza Haffari, Munawar Hayat
2022 J jnl
CoRR
Kalin Stefanov, Bhawna Paliwal, Abhinav Dhall
2021 conf
ICMI Companion
Christopher Birmingham, Maja J. Mataric, Kalin Stefanov
2021 A* conf
ACM Multimedia
Chris Birmingham, Kalin Stefanov, Maja J. Mataric
2020 B conf
FG
Su Lei, Kalin Stefanov, Jonathan Gratch
2020 B conf
ICMI
Leili Tavabi, Kalin Stefanov, Larry Zhang, Brian Borsari, Joshua D. Woolley, Stefan Scherer, Mohammad Soleymani
2020 B conf
ICMI
Kalin Stefanov, Baiyu Huang, Zongjian Li, Mohammad Soleymani
2020 J jnl
IEEE Trans. Cogn. Dev. Syst.
Kalin Stefanov, Jonas Beskow, Giampiero Salvi
2020 B conf
ICPR
Kalin Stefanov, Mohammad Adiban, Giampiero Salvi
2019 J jnl
ACM Trans. Hum. Robot Interact.
Kalin Stefanov, Giampiero Salvi, Dimosthenis Kontogiorgos, Hedvig Kjellström, Jonas Beskow
2019 B conf
ICMI
Mohammad Soleymani, Kalin Stefanov, Sin-Hwa Kang, Jan Ondras, Jonathan Gratch
2019 B conf
ICMI
Leili Tavabi, Kalin Stefanov, Setareh Nasihati Gilani, David R. Traum, Mohammad Soleymani
2019 B conf
HAI
Kalin Stefanov, Mayumi Bono
2018
Kalin Stefanov
2018 J jnl
CoRR
Kalin Stefanov
2017 J jnl
CoRR
Kalin Stefanov, Jonas Beskow, Giampiero Salvi
2016 B conf
LREC
Kalin Stefanov, Jonas Beskow
2016 conf
ASSP4MI@ICMI
Kalin Stefanov, Akihiro Sugimoto, Jonas Beskow
2015 B conf
ICMI
Mathieu Chollet, Kalin Stefanov, Helmut Prendinger, Stefan Scherer
2014 A* conf
HRI
Samer Al Moubayed, Jonas Beskow, Bajibabu Bollepalli, Joakim Gustafson, Ahmed Hussen Abdelaziz, Martin Johansson, Maria Koutsombogera, José David Águas Lopes, Jekaterina Novikova, Catharine Oertel, Gabriel Skantze, Kalin Stefanov, Gül Varol
2014 B conf
LREC
Maria Koutsombogera, Samer Al Moubayed, Bajibabu Bollepalli, Ahmed Hussen Abdelaziz, Martin Johansson, José David Águas Lopes, Jekaterina Novikova, Catharine Oertel, Kalin Stefanov, Gül Varol
2013 conf
eNTERFACE
Samer Al Moubayed, Jonas Beskow, Bajibabu Bollepalli, Ahmed Hussen Abdelaziz, Martin Johansson, Maria Koutsombogera, José David Águas Lopes, Jekaterina Novikova, Catharine Oertel, Gabriel Skantze, Kalin Stefanov, Gül Varol
2012 B conf
ICMI
Samer Al Moubayed, Gabriel Skantze, Jonas Beskow, Kalin Stefanov, Joakim Gustafson
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"