Raffaele Soloperto

30 papers A* 1C 1Journal 17Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Johannes Köhler, Daniel Zhang, Raffaele Soloperto, Andrea Carron, Melanie Nicole Zeilinger
2024 conf
CDC
Maximilian Degner, Raffaele Soloperto, Melanie N. Zeilinger, John Lygeros, Johannes Köhler
2024 J jnl
CoRR
Maximilian Degner, Raffaele Soloperto, Melanie N. Zeilinger, John Lygeros, Johannes Köhler
2024 J jnl
CoRR
Maximilian Degner, Raffaele Soloperto, Melanie N. Zeilinger, John Lygeros, Johannes Köhler
2024 J jnl
CoRR
Robin Strässer, Marc Seidel, Felix Brändle, David Meister, Raffaele Soloperto, David Hambach Ferrer, Frank Allgöwer
2024 J jnl
CoRR
Ben Sprenger, Giulia De Pasquale, Raffaele Soloperto, John Lygeros, Florian Dörfler
2024 J jnl
IEEE Control. Syst. Lett.
Ben Sprenger, Giulia De Pasquale, Raffaele Soloperto, John Lygeros, Florian Dörfler
2024 conf
L4DC
Riccardo Zuliani, Raffaele Soloperto, John Lygeros
2023 J jnl
IEEE Trans. Autom. Control.
Raffaele Soloperto, Johannes Köhler, Frank Allgöwer
2023 conf
ECC
Dominik Rösch, Felix Berkel, Martin Löhning, Maximilian Manderla, Raffaele Soloperto, Frank Allgöwer
2023 J jnl
CoRR
Riccardo Zuliani, Raffaele Soloperto, John Lygeros
2023 J jnl
IEEE Trans. Autom. Control.
Raffaele Soloperto, Matthias A. Müller, Frank Allgöwer
2023 J jnl
IEEE Trans. Autom. Control.
Raffaele Soloperto, Ali Mesbah, Frank Allgöwer
2021 J jnl
IEEE Trans. Autom. Control.
Johannes Köhler, Raffaele Soloperto, Matthias A. Müller, Frank Allgöwer
2020 J jnl
Autom.
Pulkit Nahata, Raffaele Soloperto, Michele Tucci, Andrea Martinelli, Giancarlo Ferrari-Trecate
2020 J jnl
IEEE Control. Syst. Lett.
Raffaele Soloperto, Johannes Köhler, Frank Allgöwer
2019 J jnl
CoRR
Johannes Köhler, Raffaele Soloperto, Matthias A. Müller, Frank Allgöwer
2019 J jnl
CoRR
Johannes Köhler, Peter Kötting, Raffaele Soloperto, Frank Allgöwer, Matthias A. Müller
2019 conf
ECC
Raffaele Soloperto, Johannes Köhler, Frank Allgöwer, Matthias A. Müller
2019 conf
CDC
Raffaele Soloperto, Johannes Köhler, Matthias A. Müller, Frank Allgöwer
2019 conf
CDC
Johannes Köhler, Elisa Andina, Raffaele Soloperto, Matthias A. Müller, Frank Allgöwer
2019 J jnl
CoRR
Johannes Köhler, Elisa Andina, Raffaele Soloperto, Matthias A. Müller, Frank Allgöwer
2018 C conf
ACC
Raffaele Soloperto, Pulkit Nahata, Michele Tucci, Giancarlo Ferrari-Trecate
2018 J jnl
Auton. Robots
Dongheui Lee, Raffaele Soloperto, Matteo Saveriano
2017 conf
ASCC
Renke Han, Michele Tucci, Raffaele Soloperto, Josep M. Guerrero, Giancarlo Ferrari-Trecate
2015 A* conf
ICRA
Raffaele Soloperto, Matteo Saveriano, Dongheui Lee
2013 conf
VTC Spring
Raffaele Soloperto, Giuliano Garrammone, Gianluigi Liva, Oreste Andrisano
2011
Raffaele Soloperto
2010 conf
ICC
Gianni Pasolini, Raffaele Soloperto
2005 conf
VECIMS
Raffaele Soloperto, Alberto Roversi, Andrea Conti, Davide Dardari, Oreste Andrisano
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)));