Ignacio J. Alvarez

38 papers B 1C 5Misc 1Journal 4Unranked 26
YearRankTypeTitle / Venue / Authors
2025 conf
AutomotiveUI (Adjunct Proceedings)
Alice Rollwagen, Ignacio J. Alvarez, Andreas Riener
2024 J jnl
Dagstuhl Reports
Elena Troubitsyna, Ignacio J. Alvarez, Philip Koopman, Mario Trapp
2023 conf
AutomotiveUI (Adjunct Proceedings)
Jiayuan Dong, Chihab Nadri, Ignacio J. Alvarez, Cyriel Diels, Myeongkyu Lee, Jingyi Li, Pei Hsuan Liao, Carina Manger, Shadan Sadeghian, Martina Schuß, Bruce N. Walker, Francesco Walker, Yiyuan Wang, Myounghoon Jeon
2023 conf
ITSC
Bernd Gassmann, Shreya Dey, Ignacio J. Alvarez, Fabian Oboril, Kay-Ulrich Scholl
2023 conf
AutomotiveUI (Adjunct Proceedings)
Mungyeong Choe, Esther Bosch, Jiayuan Dong, Ignacio J. Alvarez, Michael Oehl, Christophe Jallais, Areen Alsaid, Chihab Nadri, Myounghoon Jeon
2023 conf
AutomotiveUI (Adjunct Proceedings)
Ignacio J. Alvarez, Bernd Gassmann, Frederik Pasch, Fabian Oboril
2022 conf
AutomotiveUI (Adjunct Proceedings)
Chihab Nadri, Jiayuan Dong, Jingyi Li, Ignacio J. Alvarez, Myounghoon Jeon
2022 conf
CHI Extended Abstracts
Chihab Nadri, Ignacio J. Alvarez, Esther Bosch, Michael Oehl, Michael Braun, Jennifer Healey, Christophe Jallais, Wendy Ju, Jingyi Li, Myounghoon Jeon
2022 Misc conf
WSC
Fenglian Pan, Yinwei Zhang, Larry Head, Jian Liu, Maria Soledad Elli, Ignacio J. Alvarez
2021 conf
ITSC
Bernd Gaßmann, Fabian Oboril, Ignacio J. Alvarez, Kay-Ulrich Scholl
2021 conf
VNC
Arvind Merwaday, Satish Chandra Jha, Kathiravetpillai Sivanesan, Ignacio J. Alvarez, Leonardo Gomes Baltar, Vesh Raj Sharma Banjade, Suman A. Sehra
2021 C conf
IV
Xiruo Liu, Lily L. Yang, Ignacio J. Alvarez, Kathiravetpillai Sivanesan, Arvind Merwaday, Fabian Oboril, Cornelius Bürkle, Manoj R. Sastry, Leonardo Gomes Baltar
2021 C conf
IV
Maximilian Naumann, Florian Wirth, Fabian Oboril, Kay-Ulrich Scholl, Maria Soledad Elli, Ignacio J. Alvarez, Jack Weast, Christoph Stiller
2020 J jnl
Interactions
Christian P. Janssen, Ronald Schroeter, Nicola J. Bidwell, Yong Gu Ji, Ignacio J. Alvarez, Shan Bao, Myounghoon Jeon, Linda Ng Boyle, Stella F. Donker, Lewis L. Chuang, Wendy Ju, Andrew L. Kun
2020 conf
AutomotiveUI (adjunct)
Chihab Nadri, Jingyi Li, Esther Bosch, Michael Oehl, Ignacio J. Alvarez, Michael Braun, Myounghoon Jeon
2020 conf
ITSC
Chen Chai, Xianming Zeng, Ignacio J. Alvarez, Maria Soledad Elli
2020 C conf
IV
Alëna Rodionova, Ignacio J. Alvarez, Maria Soledad Elli, Fabian Oboril, Johannes Quast, Rahul Mangharam
2020 conf
SafeAI@AAAI
Rick Salay, Krzysztof Czarnecki, Maria Soledad Elli, Ignacio J. Alvarez, Sean Sedwards, Jack Weast
2019 conf
ITSC
Moreno Ambrosin, Lily L. Yang, Xiruo Liu, Manoj R. Sastry, Ignacio J. Alvarez
2019 conf
ITSC
Moreno Ambrosin, Ignacio J. Alvarez, Cornelius Bürkle, Lily L. Yang, Fabian Oboril, Manoj R. Sastry, Kathiravetpillai Sivanesan
2019 conf
AutomotiveUI (adjunct)
Sven Krome, Eric Deng, David Goedicke, Wendy Ju, Ignacio J. Alvarez, Jaka Sodnik, Andrew Veit, Francesco Grani
2019 C conf
IV
Ignacio J. Alvarez, Jennifer Healey, Erica Lewis
2019 C conf
IV
Bernd Gaßmann, Fabian Oboril, Cornelius Bürkle, Shuang Liu, Shoumeng Yan, Maria Soledad Elli, Ignacio J. Alvarez, Naveen Aerrabotu, Suhel Jaber, Peter van Beek, Darshan Iyer, Jack Weast
2018 conf
HCI (17)
Myounghoon Jeon, Andreas Riener, Jason Sterkenburg, Ju-Hwan Lee, Bruce N. Walker, Ignacio J. Alvarez
2018 conf
AutomotiveUI (adjunct)
Esther Bosch, Michael Oehl, Myounghoon Jeon, Ignacio J. Alvarez, Jennifer Healey, Wendy Ju, Christophe Jallais
2018 conf
AutomotiveUI (adjunct)
Joshua E. Ekandem, Ignacio J. Alvarez, Cat Rayburn, Andrea Johnson
2018 B conf
FG
Nese Alyüz, Sinem Aslan, Jennifer Healey, Ignacio J. Alvarez, Asli Arslan Esme
2018 conf
AutomotiveUI (adjunct)
Anna-Katharina Frison, Andreas Riener, Myounghoon Jeon, Bastian Pfleging, Ignacio J. Alvarez
2017 ed.
AutomotiveUI (adjunct)
Susanne Boll, Andreas Löcken, Ronald Schroeter, Martin Baumann, Ignacio J. Alvarez, Lewis L. Chuang, Sebastian Feuerstack, Myounghoon Jeon, Hanneke Hooft van Huysduynen, Nora Broy, Sebastian Osswald, Ioannis Politis, David R. Large
2017 conf
AutomotiveUI (adjunct)
Shadan Sadeghian Borojeni, Alexander Meschtscherjakov, Alexander G. Mirnig, Susanne Boll, Frederik Naujoks, Ioannis Politis, Ignacio J. Alvarez
2017 J jnl
Int. J. Mob. Hum. Comput. Interact.
Ignacio J. Alvarez, Laura Rumbel
2017 conf
AutomotiveUI (adjunct)
Anna-Katharina Frison, Bastian Pfleging, Andreas Riener, Myounghoon Philart Jeon, Ignacio J. Alvarez, Wendy Ju
2016 conf
AutomotiveUI (adjunct)
Andreas Riener, Myounghoon Philart Jeon, Ignacio J. Alvarez, Bastian Pfleging, Alexander G. Mirnig, Manfred Tscheligi, Lewis L. Chuang
2016 conf
AutomotiveUI (adjunct)
Rod McCall, Martin Baumann, Ioannis Politis, Shadan Sadeghian Borojeni, Ignacio J. Alvarez, Alexander G. Mirnig, Alexander Meschtscherjakov, Manfred Tscheligi, Lewis L. Chuang, Jacques M. B. Terken
2016 conf
AutomotiveUI (adjunct)
Victor Palacios Rivera, Laura Rumbel, Ignacio J. Alvarez
2015 conf
AutomotiveUI
Ignacio J. Alvarez, Laura Rumbel, Robert Adams
2014 conf
AutomotiveUI (adjunct)
Andreas Riener, Ignacio J. Alvarez, Bastian Pfleging, Andreas Löcken, Myounghoon Jeon, Heiko Müller, Mario Chiesa
2014 J jnl
Pervasive Mob. Comput.
Andreas Riener, Myounghoon Jeon, Ignacio J. Alvarez, Franco Zambonelli
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)));