James Leggett

16 papers Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Trans. Biomed. Eng.
Niall Holmes, James Leggett, Ryan M. Hill, Lukas Rier, Elena Boto, Holly Schofield, Tyler Hayward, Eliot Dawson, David Woolger, Vishal Shah, Samu Taulu, Matthew J. Brookes, Richard Bowtell
2023 J jnl
NeuroImage
Niall Holmes, Molly Rea, Ryan M. Hill, James Leggett, Lucy J. Edwards, Peter J. Hobson, Elena Boto, Tim M. Tierney, Lukas Rier, Gonzalo Reina Rivero, Vishal Shah, James Osborne, T. Mark Fromhold, Paul Glover, Matthew J. Brookes, Richard Bowtell
2023 J jnl
Sensors
Niall Holmes, Molly Rea, Ryan M. Hill, Elena Boto, James Leggett, Lucy J. Edwards, Natalie Rhodes, Vishal Shah, James Osborne, T. Mark Fromhold, Paul Glover, P. Read Montague, Matthew J. Brookes, Richard Bowtell
2022 J jnl
IEEE Trans. Biomed. Eng.
Stephanie Mellor, Tim M. Tierney, George C. O'Neill, Nicholas Alexander, Robert A. Seymour, Niall Holmes, José David López, Ryan M. Hill, Elena Boto, Molly Rea, Gillian Roberts, James Leggett, Richard Bowtell, Matthew J. Brookes, Eleanor A. Maguire, Matthew C. Walker, Gareth R. Barnes
2022 J jnl
NeuroImage
Elena Boto, Vishal Shah, Ryan M. Hill, Natalie Rhodes, James Osborne, Cody Doyle, Niall Holmes, Molly Rea, James Leggett, Richard Bowtell, Matthew J. Brookes
2021 J jnl
NeuroImage
Elena Boto, Ryan M. Hill, Molly Rea, Niall Holmes, Zelekha A. Seedat, James Leggett, Vishal Shah, James Osborne, Richard Bowtell, Matthew J. Brookes
2021 J jnl
NeuroImage
Tim M. Tierney, Andrew Levy, Daniel N. Barry, Sofie S. Meyer, Yoshihito Shigihara, Matt Everatt, Stephanie Mellor, José David López, Sven Bestmann, Niall Holmes, Gillian Roberts, Ryan M. Hill, Elena Boto, James Leggett, Vishal Shah, Matthew J. Brookes, Richard Bowtell, Eleanor A. Maguire, Gareth R. Barnes
2021 J jnl
NeuroImage
Molly Rea, Niall Holmes, Ryan M. Hill, Elena Boto, James Leggett, Lucy J. Edwards, David Woolger, Eliot Dawson, Vishal Shah, James Osborne, Richard Bowtell, Matthew J. Brookes
2021 J jnl
NeuroImage
Matthew J. Brookes, Elena Boto, Molly Rea, Vishal Shah, James Osborne, Niall Holmes, Ryan M. Hill, James Leggett, Natalie Rhodes, Richard Bowtell
2020 J jnl
NeuroImage
Ryan M. Hill, Elena Boto, Molly Rea, Niall Holmes, James Leggett, Laurence A. Coles, Manolis Papastavrou, Sarah K. Everton, Benjamin A. E. Hunt, Dominic Sims, James Osborne, Vishal Shah, Richard Bowtell, Matthew J. Brookes
2019 J jnl
NeuroImage
Daniel N. Barry, Tim M. Tierney, Niall Holmes, Elena Boto, Gillian Roberts, James Leggett, Richard Bowtell, Matthew J. Brookes, Gareth R. Barnes, Eleanor A. Maguire
2019 J jnl
NeuroImage
Tim M. Tierney, Niall Holmes, Stephanie Mellor, José David López, Gillian Roberts, Ryan M. Hill, Elena Boto, James Leggett, Vishal Shah, Matthew J. Brookes, Richard Bowtell, Gareth R. Barnes
2019 J jnl
NeuroImage
Gillian Roberts, Niall Holmes, Nicholas Alexander, Elena Boto, James Leggett, Ryan M. Hill, Vishal Shah, Molly Rea, Richard Vaughan, Eleanor A. Maguire, Klaus Kessler, Shaun Beebe, T. Mark Fromhold, Gareth R. Barnes, Richard Bowtell, Matthew J. Brookes
2019 J jnl
NeuroImage
Elena Boto, Zelekha A. Seedat, Niall Holmes, James Leggett, Ryan M. Hill, Gillian Roberts, Vishal Shah, T. Mark Fromhold, Karen J. Mullinger, Tim M. Tierney, Gareth R. Barnes, Richard Bowtell, Matthew J. Brookes
2018 J jnl
NeuroImage
Niall Holmes, James Leggett, Elena Boto, Gillian Roberts, Ryan M. Hill, Tim M. Tierney, Vishal Shah, Gareth R. Barnes, Matthew J. Brookes, Richard Bowtell
2018 J jnl
NeuroImage
Tim M. Tierney, Niall Holmes, Sofie S. Meyer, Elena Boto, Gillian Roberts, James Leggett, Sarah Buck, Leonardo Duque-Muñoz, Vladimir Litvak, Sven Bestmann, Torsten Baldeweg, Richard Bowtell, Matthew J. Brookes, Gareth R. Barnes
redb/extractors/js_extractors/scripts/js-xray-runner.js
← Index redb/extractors/js_extractors/scripts/js-xray-runner.js javascript
#!/usr/bin/env node
// Bridge between the Python JS pipeline and @nodesecure/js-x-ray.
//
// Usage: node js-xray-runner.js <path-to-js-file>
//   stdout  one JSON object: {"obfuscator": <name|null>, "warnings": [...]}
//   stderr  human-readable error on failure
//   exit 0  analysis ran (the file may still be benign — see "obfuscator")
//   exit 1  the file could not be read or analysed
//
// Each warning is emitted as {kind, value} so the Python side can tag
// supporting signals (encoded-literal, short-identifiers, suspicious-literal,
// unsafe-stmt) without having to mirror js-x-ray's whole schema.
//
// js-x-ray ≥7 ships as an ES module, which CommonJS `require()` cannot load
// from a `.js` script — the dynamic `import()` below is what makes the
// bridge work without renaming the file to `.mjs` or adding `"type":
// "module"` to package.json (which would break tools that still
// `require()` from this directory).

const fs = require("fs");
const path = require("path");

function fail(msg) {
  process.stderr.write(msg + "\n");
  process.exit(1);
}

async function main() {
  const target = process.argv[2];
  if (!target) fail("usage: js-xray-runner.js <file>");

  let source;
  try {
    source = fs.readFileSync(target, "utf8");
  } catch (e) {
    fail(`read failed: ${e.message}`);
  }

  // The legacy `runASTAnalysis` function is deprecated (removed in v8); the
  // current API is the `AstAnalyser` class. Both produce a result with the
  // same `warnings` shape, so the rest of the bridge is unchanged.
  let AstAnalyser;
  try {
    ({ AstAnalyser } = await import("@nodesecure/js-x-ray"));
  } catch (e) {
    fail(`@nodesecure/js-x-ray not installed (run \`npm install\` in ${path.dirname(__filename)}): ${e.message}`);
  }

  // js-x-ray defaults to module-mode parsing, which rejects scripts that
  // (legally) use reserved words as identifiers, top-level `return`, etc.
  // A lot of real-world JS malware is script-style (WScript/HTA bodies,
  // pasted snippets) — retrying in script mode catches those without
  // pulling in a more lenient parser. Both attempts share the same
  // analyser; only the parse mode flips. If both fail, the original error
  // (module-mode) is reported because that's the more informative one for
  // genuinely broken sources.
  let result;
  const analyser = new AstAnalyser();
  let firstErr;
  try {
    result = await analyser.analyse(source, { module: true });
  } catch (e) {
    firstErr = e;
    try {
      result = await analyser.analyse(source, { module: false });
    } catch (e2) {
      fail(`js-x-ray analysis failed: ${firstErr.message}`);
    }
  }

  const warnings = (result.warnings || []).map((w) => ({
    kind: w.kind,
    value: w.value !== undefined ? w.value : null,
  }));

  // js-x-ray flags the obfuscator family in a warning whose kind is
  // "obfuscated-code" and whose value names the family (jsfuck, obfuscator.io,
  // freejsobfuscator, morse, jjencode, ...). Absent => not detected.
  const obfWarning = warnings.find((w) => w.kind === "obfuscated-code");
  const obfuscator = obfWarning ? obfWarning.value : null;

  // js-x-ray runs its own AST internally with a modern parser, so its
  // identifier-length average is the only path the Python pipeline has to
  // that signal on ES2015+ sources — pyjsparser is ES5.1-only and silently
  // drops to 0 the moment it hits destructuring, classes, optional chaining,
  // etc. Surfacing this lets the heuristic's `avg_identifier_length<2`
  // strong signal fire on real obfuscator.io output. `null` when the value
  // is missing or non-numeric (defensive — older js-x-ray builds may differ).
  const idsLengthAvg =
    typeof result.idsLengthAvg === "number" && !Number.isNaN(result.idsLengthAvg)
      ? result.idsLengthAvg
      : null;

  process.stdout.write(JSON.stringify({ obfuscator, warnings, idsLengthAvg }));
}

main().catch((e) => fail(e.message || String(e)));