Ragnhild Eg

30 papers A* 1A 4B 5C 2Journal 5Unranked 11
YearRankTypeTitle / Venue / Authors
2024 B conf
QoMEX
Ragnhild Eg, Kjetil Raaen
2024 C conf
CoG
Aritra Kundu, Ragnhild Eg, Mark Claypool
2022 B conf
QoMEX
Saeed Shafiee Sabet, Ragnhild Eg, Kjetil Raaen, Muhammad Oasim, Michael Riegler, Pål Halvorsen
2021 conf
CENTERIS/ProjMAN/HCist
Hanne Sørum, Ragnhild Eg, Wanda Presthus
2021 A conf
MMSys
Shengmei Liu, Mark Claypool, Andy Cockburn, Ragnhild Eg, Carl Gutwin, Kjetil Raaen
2020 A conf
MMSys
Vajira Thambawita, Steven Alexander Hicks, Hanna Borgli, Håkon Kvale Stensland, Debesh Jha, Martin Kristoffer Svensen, Svein Arne Pettersen, Dag Johansen, Håvard Dagenborg Johansen, Susann Dahl Pettersen, Simon Nordvang, Sigurd Pedersen, Anders T. Gjerdrum, Tor-Morten Grønli, Per Morten Fredriksen, Ragnhild Eg, Kjeld Hansen, Siri Fagernes, Christine Claudi, Andreas Biørn-Hansen, Duc-Tien Dang-Nguyen, Tomas Kupka, Hugo Lewi Hammer, Ramesh C. Jain, Michael Alexander Riegler, Pål Halvorsen
2020 ed.
MMVE@MMSys
Ragnhild Eg, Jeroen van der Hooft, Kjetil Raaen
2019 conf
MMVE@MMSys
Kjetil Raaen, Ragnhild Eg, Ivar Kjellmo
2019 conf
NIK
Tor-Morten Grønli, Andreas Biørn-Hansen, Siri Fagernes, Ragnhild Eg, Kjeld Hansen, Per Morten Fredriksen
2018 ch.
MediaSync, Handbook on Multimedia Synchronization
Ragnhild Eg, Kjetil Raaen
2018 B conf
QoMEX
Ragnhild Eg, Kjetil Raaen, Mark Claypool
2017 conf
MMM (1)
Mark Claypool, Ragnhild Eg, Kjetil Raaen
2016 C conf
CBMI
Michael Riegler, Vamsidhar Reddy Gaddam, Martha A. Larson, Ragnhild Eg, Pål Halvorsen, Carsten Griwodz
2016 A conf
MMSys
Ragnhild Eg, Kjetil Raaen
2016 conf
CHI PLAY (Companion)
Mark Claypool, Ragnhild Eg, Kjetil Raaen
2016 J jnl
IEEE Trans. Multim.
Vamsidhar Reddy Gaddam, Michael Riegler, Ragnhild Eg, Carsten Griwodz, Pål Halvorsen
2015 J jnl
Multim. Tools Appl.
Ragnhild Eg, Carsten Griwodz, Pål Halvorsen, Dawn M. Behne
2015 J jnl
Speech Commun.
Ragnhild Eg, Dawn M. Behne, Carsten Griwodz
2015 conf
HCI (3)
Kjetil Raaen, Ragnhild Eg
2015 conf
GamifIR@ECIR
Michael Riegler, Ragnhild Eg, Lilian Calvet, Mathias Lux, Pål Halvorsen, Carsten Griwodz
2015 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Vamsidhar Reddy Gaddam, Ragnhild Eg, Ragnar Langseth, Carsten Griwodz, Pål Halvorsen
2014 J jnl
Adv. Multim.
Kristian Evensen, Tomas Kupka, Haakon Riiser, Pengpeng Ni, Ragnhild Eg, Carsten Griwodz, Pål Halvorsen
2014 conf
NETGAMES
Kjetil Raaen, Ragnhild Eg, Carsten Griwodz
2014 conf
SocInfo Workshops
Michael Riegler, Ragnhild Eg, Mathias Lux, Markus Schicho
2013 conf
AVSP
Ragnhild Eg, Dawn M. Behne
2011 A* conf
ACM Multimedia
Pengpeng Ni, Ragnhild Eg, Alexander Eichhorn, Carsten Griwodz, Pål Halvorsen
2011 B conf
QoMEX
Pengpeng Ni, Ragnhild Eg, Alexander Eichhorn, Carsten Griwodz, Pål Halvorsen
2010 B conf
NOSSDAV
Alexander Eichhorn, Pengpeng Ni, Ragnhild Eg
2009 A conf
INTERSPEECH
Ragnhild Eg, Dawn M. Behne
2007 conf
AVSP
Dawn M. Behne, Yue Wang, Magnus Alm, Ingrid Arntsen, Ragnhild Eg, Ane Valsø
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"