Nancy K. Roderer

14 papers Misc 2Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2022 J jnl
Inf. Serv. Use
Meg Moreland White, Nancy K. Roderer, Sheldon Kotzin
2018 J jnl
J. Am. Medical Informatics Assoc.
Annette L. Valenta, Eta S. Berner, Suzanne Austin Boren, Gloria J. Deckard, Christina Eldredge, Douglas B. Fridsma, Cynthia S. Gadd, Yang Gong, Todd R. Johnson, Josette Jones, E. LaVerne Manos, Kirk T. Phillips, Nancy K. Roderer, Douglas Rosendale, Anne M. Turner, Günter Tusch, Jeffrey J. Williamson, Stephen B. Johnson
2018 Misc conf
AMIA
Sigfried Gold, Andrea Batch, Robert C. McClure, Guoqian Jiang, Hadi Kharrazi, Rishi Saripalle, Vojtech Huser, Chunhua Weng, Nancy K. Roderer, Ana Szarfman, Niklas Elmqvist, David Gotz
2012 J jnl
Inf. Serv. Use
Nancy K. Roderer
2011 J jnl
Educ. Inf.
Prudence W. Dalrymple, Nancy K. Roderer
2010 J jnl
Health Informatics J.
Prudence W. Dalrymple, Harold P. Lehmann, Nancy K. Roderer, Michael B. Streiff
2007 conf
ASIST
José-Marie Griffiths, Nancy K. Roderer
2007 J jnl
Inf. Res.
Prudence W. Dalrymple, Nancy K. Roderer
2006 Misc conf
AMIA
Dongming Zhang, Nancy K. Roderer, Guang Huang, Xin Zhao
2006 J jnl
Health Informatics J.
Kathleen B. Oliver, Nancy K. Roderer
2004 conf
MedInfo
Nancy K. Roderer
2002 conf
ASIST
Nancy K. Roderer, Shirley Dugdale, Barbara M. Wildemuth, Kerryn A. Brandt, Julie M. Hurd
1997 J jnl
J. Am. Medical Informatics Assoc.
Susan E. Grajek, Pascal V. Calarco, Sandra J. Frawley, James McKay, Perry L. Miller, John A. Paton, Nancy K. Roderer, Joseph E. Sullivan
1995 J jnl
J. Am. Medical Informatics Assoc.
Perry L. Miller, Sandra J. Frawley, Lawrence Wright, Nancy K. Roderer, Seth Powsner
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()