Xavier Calbet

19 papers C 2Misc 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2021 J jnl
Remote. Sens.
Bomin Sun, Xavier Calbet, Anthony Reale, Steven Schroeder, Manik Bali, Ryan Smith, Michael Pettey
2021 conf
IEEE BigData
Pedro Herruzo, Aleksandra Gruca, Llorenç Lliso, Xavier Calbet, Pilar Rípodas, Sepp Hochreiter, Michael Kopp, David P. Kreil
2021 conf
NeurIPS (Competition and Demos)
Aleksandra Gruca, Federico Serva, Llorenç Lliso, Pilar Rípodas, Xavier Calbet, Pedro Herruzo, Jirí Pihrt, Rudolf Raevskiy, Petr Simánek, Matej Choma, Yang Li, Haiyu Dong, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K. Kopp, Sepp Hochreiter, David P. Kreil
2019 J jnl
IEEE Trans. Geosci. Remote. Sens.
Joaquin Garcia-Sobrino, Valero Laparra, Joan Serra-Sagristà, Xavier Calbet, Gustau Camps-Valls
2019 J jnl
Remote. Sens.
Marc Schröder, Maarit Lockhoff, Lei Shi, Thomas August, Ralf Bennartz, Helene Brogniez, Xavier Calbet, Frank Fell, John Forsythe, Antonia Gambacorta, Shu-peng Ho, E. Robert Kursinski, Anthony Reale, Tim Trent, Qiong Yang
2017 C conf
IGARSS
Valero Laparra, Jordi Muñoz-Marí, Luis Gómez-Chova, Xavier Calbet, Gustau Camps-Valls
2017 J jnl
IEEE Trans. Geosci. Remote. Sens.
Joaquin Garcia-Sobrino, Joan Serra-Sagristà, Valero Laparra, Xavier Calbet, Gustau Camps-Valls
2012 J jnl
IEEE Trans. Geosci. Remote. Sens.
Gustavo Camps-Valls, Jordi Muñoz-Marí, Luis Gómez-Chova, Luis Guanter, Xavier Calbet
2012 J jnl
CoRR
Ricardo López-Ruiz, Jaime Sanudo, Elvira Romera, Xavier Calbet
2011 J jnl
CoRR
Jose-Luis López, Ricardo López-Ruiz, Xavier Calbet
2011 J jnl
IEEE Trans. Geosci. Remote. Sens.
Daniel K. Zhou, Allen M. Larar, Xu Liu, William L. Smith, Larrabee L. Strow, Ping Yang, Peter Schlussel, Xavier Calbet
2011 C conf
IGARSS
Gustavo Camps-Valls, Valero Laparra, Jordi Muñoz-Marí, Luis Gómez-Chova, Xavier Calbet
2010 J jnl
CoRR
Ricardo López-Ruiz, Héctor Mancini, Xavier Calbet
2009 J jnl
Entropy
Ricardo López-Ruiz, Jaime Sanudo, Xavier Calbet
2007 J jnl
CoRR
Ricardo López-Ruiz, Jaime Sanudo, Xavier Calbet
2007 J jnl
CoRR
Ricardo López-Ruiz, Jaime Sanudo, Xavier Calbet
2006 J jnl
CoRR
Ricardo López-Ruiz, Xavier Calbet
1995 J jnl
Int. J. Neural Syst.
Lluís Garrido, Vicens Gaitán, Miquel Serra-Ricart, Xavier Calbet
1993 Misc conf
IWANN
Lluís Garrido, Vicens Gaitán, Miquel Serra-Ricart, Xavier Calbet
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)));