James Avery

32 papers A* 2A 1B 1Misc 1Journal 21Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Trans. Biomed. Eng.
Jianlin Yang, Zhangxi Zhou, Mark Runciman, James Avery, Zhijun Sun, George P. Mylonas
2024 J jnl
IEEE Robotics Autom. Lett.
Jianlin Yang, Mark Runciman, James Avery, Zhijun Sun, George P. Mylonas
2024 J jnl
Sensors
Zhangxi Zhou, Jianlin Yang, Mark Runciman, James Avery, Zhijun Sun, George P. Mylonas
2024 J jnl
IEEE J. Biomed. Health Informatics
Zhiyuan Lou, Xue Min, Guanhan Li, James Avery, Rebecca Stewart
2024 J jnl
Frontiers Robotics AI
Amirhosein Alian, James Avery, George P. Mylonas
2023 A* conf
ICRA
Mark Runciman, Enrico Franco, James Avery, Ferdinando Rodriguez y Baena, George P. Mylonas
2023 J jnl
CoRR
Mark Runciman, Enrico Franco, James Avery, Ferdinando Rodriguez y Baena, George P. Mylonas
2023 conf
RoboSoft
Amirhosein Alian, George P. Mylonas, James Avery
2023 J jnl
CoRR
Amirhosein Alian, George P. Mylonas, James Avery
2022 A conf
IROS
James Avery, Mark Runciman, Cristina Fiani, Elena Monfort Sanchez, Saina Akhond, Zhuang Liu, Kirill Y. Aristovich, George P. Mylonas
2022 J jnl
CoRR
James Avery, Mark Runciman, Cristina Fiani, Elena Monfort Sanchez, Saina Akhond, Zhuang Liu, Kirill Y. Aristovich, George P. Mylonas
2021 J jnl
Comput. Math. Methods
Lukas N. Wirz, Peter Schwerdtfeger, James Avery
2020 J jnl
IEEE J. Biomed. Health Informatics
Barry McDermott, Martin O'Halloran, James Avery, Emily Porter
2020 J jnl
Sensors
James Avery, Brett C. Packham, Hwan Koo, Ben M. Hanson, David S. Holder
2019 J jnl
Frontiers Robotics AI
Mark Runciman, James Avery, Ming Zhao, Ara Darzi, George P. Mylonas
2019 A* conf
ICRA
James Avery, Mark Runciman, Ara Darzi, George P. Mylonas
2019 J jnl
CoRR
James Avery, Mark Runciman, Ara Darzi, George P. Mylonas
2018 J jnl
Int. J. Comput. Sci. Eng.
Mads Ruben Burgdorff Kristensen, James Avery
2018 J jnl
NeuroImage
Anna Witkowska-Wrobel, Kirill Y. Aristovich, Mayo Faulkner, James Avery, David S. Holder
2018 J jnl
NeuroImage
Mayo Faulkner, Sana Hannan, Kirill Y. Aristovich, James Avery, David S. Holder
2017 J jnl
Sensors
James Avery, Thomas Dowrick, Mayo Faulkner, Nir Goren, David S. Holder
2017 conf
EMBC
Danyi Zhu, Xiunan Fang, Calvin D. Eiber, James Avery, David S. Holder, Alistair Lee McEwan
2016 conf
ISC Workshops
Mads Ruben Burgdorff Kristensen, James Avery, Troels Blum, Simon Andreas Frimann Lund, Brian Vinter
2016 J jnl
NeuroImage
Anna N. Vongerichten, Gustavo Sato dos Santos, Kirill Y. Aristovich, James Avery, Andrew W. McEvoy, Matthew C. Walker, David S. Holder
2016 J jnl
CoRR
Mads Ruben Burgdorff Kristensen, Simon Andreas Frimann Lund, Troels Blum, James Avery
2016 B conf
PACT
Mads Ruben Burgdorff Kristensen, Simon Andreas Frimann Lund, Troels Blum, James Avery
2014 J jnl
J. Chem. Inf. Model.
Lukas Wirz, Ralf Tonner, James Avery, Peter Schwerdtfeger
2013 J jnl
J. Comput. Chem.
Peter Schwerdtfeger, Lukas Wirz, James Avery
2009 conf
FOPARA
James Avery, Lars Kristiansen, Jean-Yves Moyen
2007 book
James Avery, Jim Holmes
2006 Misc conf
FLOPS
James Avery
2005 book
James Avery
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()