Olga Siskou

11 papers Unranked 11
YearRankTypeTitle / Venue / Authors
2023 conf
ICIMTH
Eleni Korompoki, George Ntaios, Haralampos J. Milionis, Efstathios Manios, Giorgos Mavraganis, Dimitrios Sagris, Christos Savopoulos, Evangelos Tsampalas, Ioannis Kalliontzakis, Argyro Tountopoulou, Sophia Vassilopoulou, Ioanna Kouzi, Petros Galanis, Olympia Konstantakopoulou, Iliana Karagkouni, Stefanos Papastefanatos, Daphne Kaitelidou, Konstantinos N. Vemmos, Olga Siskou
2022 conf
ICIMTH
Ifigeneia Vasiliki Kontoteza, Aggeliki Dragamestianou, Petros Galanis, Olga Siskou, Athanasia Papazafiropoulou, Olympia Konstantakopoulou, Parisis Gallos, Iliana Karagkouni, Daphne Kaitelidou
2022 conf
ICIMTH
Aggeliki Dragamestianou, Ifigeneia Vasiliki Kontoteza, Olga Siskou, Petros Galanis, Athanasia Papazafiropoulou, Olympia Konstantakopoulou, Parisis Gallos, Iliana Karagkouni, Daphne Kaitelidou
2022 conf
ICIMTH
Anastasia Babatsikou, Daphne Kaitelidou, Petros Galanis, Angeliki Liarigkovinou, Olympia Konstantakopoulou, Olga Siskou
2021 conf
ICIMTH
Petros Galanis, Olympia Konstantakopoulou, Iliana Karagkouni, Parisis Gallos, Evangelos Tsampalas, Maria Lypiridou, Anastasia Gamvroula, Georgios Mavraganis, Efstathios Manios, George Ntaios, Efstathia Karagkiozi, Haralampos J. Milionis, Chara Evangelou, Argyro Tountopoulou, Ioanna Kouzi, Sofia Vassilopoulou, Athanasios Protogerou, Stamatina Samara, Asteria Karapiperi, Christos Savopoulos, Apostolos I. Hatzitolios, Athina Myrou, Ioannis Kalliontzakis, Aspasia Kouridaki, Stefanos Papastefanatos, George Papastefanatos, Kostas Vemmos, Panayiota Sourtzi, Thalia Bellali, Eleni Korompoki, Daphne Kaitelidou, Olga Siskou
2021 conf
ICIMTH
Olga Siskou, Petros Galanis, Olympia Konstantakopoulou, Iliana Karagkouni, Evangelos Tsampalas, Dafni Garefou, Helen Alexopoulou, Anastasia Gamvroula, Ioannis Kalliontzakis, Anastasia Fragkoulaki, Aspasia Kouridaki, Argyro Tountopoulou, Ioanna Kouzi, Sofia Vassilopoulou, Efstathios Manios, Georgios Mavraganis, George Ntaios, Efstathia Karagkiozi, Anna-Maria Louka, Christos Savopoulos, Gregorios Dimas, Athina Myrou, Haralampos J. Milionis, Georgios Siopis, Hara Evaggelou, Athanasios Protogerou, Stamatina Samara, Asteria Karapiperi, Nikolaos Kakaletsis, Parisis Gallos, Stefanos Papastefanatos, Panayota Sourtzi, Kostas Vemmos, Eleni Korompoki, Daphne Kaitelidou
2021 conf
ICIMTH
Georgios Mavraganis, Eleni Korompoki, Evangelos Tsampalas, Dafni Garefou, Helen Alexopoulou, Maria Lypiridou, Ioannis Kalliontzakis, Anastasia Fragkoulaki, Aspasia Kouridaki, Argyro Tountopoulou, Ioanna Kouzi, Sofia Vassilopoulou, Efstathia Karagkiozi, Anna-Maria Louka, Efstathios Manios, Anastasia Vemmou, Christos Savopoulos, Gregorios Dimas, Athina Myrou, Haralampos J. Milionis, Georgios Siopis, Hara Evaggelou, Athanasios Protogerou, Stamatina Samara, Asteria Karapiperi, Nikolaos Kakaletsis, Iliana Karagkouni, Olympia Konstantakopoulou, Petros Galanis, Daphne Kaitelidou, Stefanos Papastefanatos, Kostas Vemmos, George Ntaios, Olga Siskou
2019 conf
ICIMTH
Panagiota Peleka, Olga Siskou, Petros Galanis, Olympia Konstantakopoulou, Marianna Diomidous, Athina Kalokairinou, Daphne Kaitelidou
2019 conf
ICIMTH
Petros Galanis, Olga Siskou, Giorgos Charalambous, Olympia Konstantakopoulou, Angeliki Liarigkovinou, Iliana Karagkouni, George Tsolas, Panagiota Chatzi, Aikaterini Giotaki, George Keramidas, Amalia Nikolakakou, Aikaterini Papachristou, Panagiotis Papatheodorou, Vasiliki Papastefanopoulou, Ioannis Skountzos, Amalia Thermogianni, Daphne Kaitelidou
2019 conf
ICIMTH
Myrsini Kelepouri, Olga Siskou, Petros Galanis, Olympia Konstantakopoulou, Athina Kalokairinou, John Mantas, Dafni Kaitelidou
2013 conf
ICIMTH
Christina Tsirona, Olga Siskou, Peter Galanis, Daphne Kaitelidou, Konstantinos Tsavalias, Argyro Ragkousi, Maria Semertziadi, Ioanna Anagnostopoulou, John Vafiadis, Lycourgos Liaropoulos
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"