Rakesh Shrestha

39 papers A* 3B 2C 2Misc 1Journal 21Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
ACM Trans. Graph.
Baowen Zhang, Chuan Fang, Rakesh Shrestha, Yixun Liang, Xiaoxiao Long, Ping Tan
2025 conf
3DV
Chuan Fang, Yuan Dong, Kunming Luo, Xiaotao Hu, Rakesh Shrestha, Ping Tan
2024 J jnl
J. Parallel Distributed Comput.
Rakesh Shrestha, Mohammadreza Mohammadi, Sima Sinaei, Alberto Salcines, David Pampliega, Raul Clemente, Ana Lourdes Sanz, Ehsan Nowroozi, Anders Lindgren
2024 conf
L4DC
Tara Toufighi, Minh Bui, Rakesh Shrestha, Mo Chen
2024 conf
ICCBDC
Mohammadreza Mohammadi, Rakesh Shrestha, Sima Sinaei
2024 C conf
DSD
Sima Sinaei, Mohammadreza Mohammadi, Rakesh Shrestha, Mina Alibeigi, David Eklund
2024 J jnl
CoRR
Baowen Zhang, Chuan Fang, Rakesh Shrestha, Yixun Liang, Xiaoxiao Long, Ping Tan
2023 J jnl
IEEE Access
Rojeena Bajracharya, Rakesh Shrestha, Syed Ali Hassan, Haejoon Jung, Hyundong Shin
2023 conf
ICCBDC
Mohammadreza Mohammadi, Rakesh Shrestha, Sima Sinaei, Alberto Salcines, David Pampliega, Raul Clemente, Ana Lourdes Sanz
2023 J jnl
IEEE Trans. Veh. Technol.
Rojeena Bajracharya, Rakesh Shrestha, Haejoon Jung
2023 Misc conf
CSR
Mohammadreza Mohammadi, Roberto Allocca, David Eklund, Rakesh Shrestha, Sima Sinaei
2022 J jnl
IEEE Access
Rojeena Bajracharya, Rakesh Shrestha, Shiho Kim, Haejoon Jung
2022 C conf
ISCAS
Rakesh Shrestha, Dohyun Kim, Junghwan Choi, Shiho Kim
2022 conf
ECCV (8)
Rakesh Shrestha, Siqi Hu, Minghao Gou, Ziyuan Liu, Ping Tan
2022 J jnl
CoRR
Rakesh Shrestha, Siqi Hu, Minghao Gou, Ziyuan Liu, Ping Tan
2022 J jnl
IEEE Trans. Intell. Transp. Syst.
Rojeena Bajracharya, Rakesh Shrestha, Syed Ali Hassan, Kostromitin Konstantin, Haejoon Jung
2022 J jnl
IEEE Access
Rojeena Bajracharya, Rakesh Shrestha, Haejoon Jung, Hyundong Shin
2022 A* conf
CVPR
Luwei Yang, Rakesh Shrestha, Wenbo Li, Shuaicheng Liu, Guofeng Zhang, Zhaopeng Cui, Ping Tan
2021 J jnl
IEEE Access
Rakesh Shrestha, Rojeena Bajracharya, Shiho Kim
2021 conf
3DV
Rakesh Shrestha, Zhiwen Fan, Qingkun Su, Zuozhuo Dai, Siyu Zhu, Ping Tan
2021 J jnl
IEEE Netw.
Rojeena Bajracharya, Rakesh Shrestha, Syed Ali Hassan, Haejoon Jung, Rafay Iqbal Ansari, Mohsen Guizani
2021 conf
ICTC
Rojeena Bajracharya, Rakesh Shrestha, Haejoon Jung
2020 J jnl
Digit. Commun. Networks
Rakesh Shrestha, Rojeena Bajracharya, Anish Prasad Shrestha, Seung Yeob Nam
2020 J jnl
Sensors
Rojeena Bajracharya, Rakesh Shrestha, Haejoon Jung
2020 J jnl
CoRR
Rakesh Shrestha, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai, Qingkun Su, Ping Tan
2019 J jnl
Adv. Comput.
Rakesh Shrestha, Shiho Kim
2019 A* conf
ICRA
Rakesh Shrestha, Fei-Peng Tian, Wei Feng, Ping Tan, Richard Vaughan
2019 J jnl
Sensors
Rojeena Bajracharya, Rakesh Shrestha, Sung Won Kim
2019 J jnl
IEEE Access
Rakesh Shrestha, Seung Yeob Nam
2018 B conf
NOMS
Rakesh Shrestha, Rojeena Bajracharya, Seung Yeob Nam
2018 J jnl
Wirel. Commun. Mob. Comput.
Rakesh Shrestha, Rojeena Bajracharya, Seung Yeob Nam
2018 J jnl
IEEE Commun. Mag.
Rojeena Bajracharya, Rakesh Shrestha, Rashid Ali, Arslan Musaddiq, Sung Won Kim
2018 A* conf
ICRA
Payam Nikdel, Rakesh Shrestha, Richard Vaughan
2017 conf
VTC Spring
Rojeena Bajracharya, Rakesh Shrestha, Yousaf Bin Zikria, Sung Won Kim
2017 J jnl
Mob. Inf. Syst.
Rakesh Shrestha, Seung Yeob Nam
2014 J jnl
IET Commun.
Rakesh Shrestha, Seung Yeob Nam
2014 conf
ICCVE
Rakesh Shrestha, Sirojiddin Djuraev, Seung Yeob Nam
2010 B conf
AINA
Rakesh Shrestha, Kyong-Heon Han, Dong-You Choi, Seung Jo Han
2009 conf
PACCS
Rakesh Shrestha, Jong-Yeop Sung, Sangduck Lee, Pyung Sik-Yun, Dong-You Choi, Seung Jo Han
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"