Malaya Dutta Borah

26 papers C 2Misc 1Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comput. Biol. Medicine
Zakir Hussain, Malaya Dutta Borah
2025 J jnl
Inf. Process. Manag.
Yash Jakhar, Malaya Dutta Borah
2025 J jnl
Appl. Soft Comput.
Pranita Baro, Malaya Dutta Borah
2024 J jnl
Health Inf. Sci. Syst.
Zakir Hussain, Malaya Dutta Borah
2024 J jnl
Evol. Syst.
Pranita Baro, Malaya Dutta Borah
2024 J jnl
Artif. Intell. Law
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2024 J jnl
Multim. Tools Appl.
Pratima Sharma, Rajni Jindal, Malaya Dutta Borah
2024 J jnl
Artif. Intell. Rev.
Zakir Hussain, Malaya Dutta Borah, Rezaul Karim Ahmed
2024 J jnl
Comput. Intell.
Pranita Baro, Malaya Dutta Borah
2024 J jnl
Expert Syst. Appl.
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2024 Misc conf
HiPC
Aryan Kumar Singh, Arpit Saikia, Pranita Baro, Malaya Dutta Borah
2023 J jnl
Clust. Comput.
Pratima Sharma, Rajni Jindal, Malaya Dutta Borah
2023 J jnl
Knowl. Based Syst.
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2023 conf
SemEval@ACL
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2022 J jnl
IT Prof.
Pratima Sharma, Rajni Jindal, Malaya Dutta Borah
2022 C conf
IPCCC
Ripon Patgiri, Malaya Dutta Borah
2022 J jnl
Medical Biol. Eng. Comput.
Zakir Hussain, Malaya Dutta Borah
2021 conf
ICON
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2021 J jnl
Adv. Comput.
Amitabh Biswal, Malaya Dutta Borah, Zakir Hussain
2021 ch.
Health Informatics
Zakir Hussain, Malaya Dutta Borah
2021 C conf
APCC
Ripon Patgiri, Malaya Dutta Borah, Dolendro Singh Laiphrakpam
2021 J jnl
IACR Cryptol. ePrint Arch.
Ripon Patgiri, Malaya Dutta Borah, Dolendro Singh Laiphrakpam
2021 conf
FIRE (Working Notes)
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2021 J jnl
Comput. Sci. Rev.
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2020 conf
FIRE
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2020 conf
MIND (2)
Zakir Hussain, Malaya Dutta Borah
redb/extractors/js_extractors/js_xray.py
← Index redb/extractors/js_extractors/js_xray.py python
"""Subprocess wrapper for the bundled js-x-ray Node bridge.

Mirrors `js_deobfuscator.py`: shell out to a Node script with a per-sample
timeout, kill the process group on hang, demote `FileNotFoundError` to debug
(missing tool is routine — the host either has Node + the bundled package
installed or it doesn't), and return a structured result on success.

The bridge lives at `redb/extractors/js_extractors/scripts/js-xray-runner.js`.
Operators install the JS dependency once with `npm install` in that directory
(or override the path with `JS_XRAY_RUNNER_PATH`).

Configuration (env vars):
    JS_XRAY_RUNNER_PATH   Path to the Node bridge script (default: bundled).
    JS_XRAY_TIMEOUT       Seconds before the subprocess is killed. Default: 30.

`run(source, log)` returns `XRayResult(obfuscator, warnings)` on a successful
analysis, or `XRayResult(None, [])` for any non-success path (binary missing,
timeout, parse failure, etc.). The two unsuccessful states are
indistinguishable to the caller on purpose — they all collapse to "no
js-x-ray verdict, fall back to heuristic".
"""

from __future__ import annotations

import json
import os
import signal
import subprocess
import tempfile
from dataclasses import dataclass, field
from typing import List, Optional

# Bundled bridge: redb/extractors/js_extractors/scripts/js-xray-runner.js
_DEFAULT_RUNNER = os.path.join(
    os.path.dirname(__file__), "scripts", "js-xray-runner.js"
)
_DEFAULT_NODE = "node"
_DEFAULT_TIMEOUT_SECS = 30


@dataclass
class XRayResult:
    """Parsed js-x-ray output. `obfuscator` is the recognised family name
    (e.g. "jsfuck", "obfuscator.io") or None when js-x-ray did not flag the
    code. `warnings` carries every {kind, value} pair the analyser produced;
    the heuristic uses it as a corroborating signal. `avg_identifier_length`
    is js-x-ray's own AST-derived figure — used as a fallback for the
    heuristic's `avg_identifier_length<2` strong signal when pyjsparser
    can't parse the source (anything ES2015+ trips it)."""

    obfuscator: Optional[str] = None
    warnings: List[dict] = field(default_factory=list)
    avg_identifier_length: Optional[float] = None

    @property
    def flagged(self) -> bool:
        return self.obfuscator is not None


def _empty() -> XRayResult:
    return XRayResult(obfuscator=None, warnings=[])


def run(source: str, log) -> XRayResult:
    if not source:
        return _empty()

    runner = os.getenv("JS_XRAY_RUNNER_PATH", _DEFAULT_RUNNER)
    node_bin = os.getenv("JS_XRAY_NODE_BIN", _DEFAULT_NODE)
    timeout = int(os.getenv("JS_XRAY_TIMEOUT", str(_DEFAULT_TIMEOUT_SECS)))

    if not os.path.exists(runner):
        log.debug(f"js-x-ray runner not found at {runner}")
        return _empty()

    # Skip the subprocess entirely when the JS dependency isn't installed.
    # Without this, every call to a host that has `node` but never ran
    # `npm install` next to the runner would still fork node, get a require
    # error, and exit nonzero — wasted ~50–200ms per JS sample (and per test).
    runner_dir = os.path.dirname(runner)
    if not os.path.isdir(os.path.join(runner_dir, "node_modules", "@nodesecure", "js-x-ray")):
        log.debug(f"@nodesecure/js-x-ray not installed in {runner_dir}")
        return _empty()

    tmp_path = None
    try:
        with tempfile.NamedTemporaryFile(
            suffix=".js", mode="w", delete=False, encoding="utf-8"
        ) as tmp:
            tmp.write(source)
            tmp_path = tmp.name

        try:
            process = subprocess.Popen(
                [node_bin, runner, tmp_path],
                stdout=subprocess.PIPE,
                stderr=subprocess.PIPE,
                preexec_fn=os.setsid,
            )
            try:
                stdout, stderr = process.communicate(timeout=timeout)
            except subprocess.TimeoutExpired:
                # Kill the whole process group so any node helpers die too.
                try:
                    os.killpg(os.getpgid(process.pid), signal.SIGTERM)
                    process.wait(timeout=5)
                except Exception:
                    try:
                        os.killpg(os.getpgid(process.pid), signal.SIGKILL)
                    except Exception:
                        pass
                log.warning(f"js-x-ray timed out after {timeout}s")
                return _empty()

            if process.returncode != 0:
                err = stderr.decode("utf-8", errors="replace").strip()
                log.debug(f"js-x-ray exited {process.returncode}: {err}")
                return _empty()

            text = stdout.decode("utf-8", errors="replace").strip()
            if not text:
                return _empty()

            try:
                payload = json.loads(text)
            except json.JSONDecodeError as e:
                log.warning(f"js-x-ray emitted non-JSON output: {e}")
                return _empty()

            obfuscator = payload.get("obfuscator")
            warnings = payload.get("warnings") or []
            if not isinstance(warnings, list):
                warnings = []

            ids_avg = payload.get("idsLengthAvg")
            if not isinstance(ids_avg, (int, float)):
                ids_avg = None

            return XRayResult(
                obfuscator=obfuscator,
                warnings=warnings,
                avg_identifier_length=ids_avg,
            )
        finally:
            if tmp_path:
                try:
                    os.unlink(tmp_path)
                except Exception:
                    pass
    except FileNotFoundError:
        log.debug(f"node binary not found at {node_bin}")
        return _empty()
    except Exception as e:
        log.error(f"js-x-ray subprocess error: {e}")
        return _empty()