Ralph Matthes

64 papers B 10C 2Misc 1Journal 28Unranked 19
YearRankTypeTitle / Venue / Authors
2024 B conf
CPP
Benedikt Ahrens, Ralph Matthes, Niels van der Weide, Kobe Wullaert
2024 B conf
FSCD
Ralph Matthes, Kobe Wullaert, Benedikt Ahrens
2023 J jnl
CoRR
Benedikt Ahrens, Ralph Matthes, Kobe Wullaert
2023 J jnl
CoRR
Ralph Matthes, Kobe Wullaert, Benedikt Ahrens
2022 B conf
CPP
Benedikt Ahrens, Ralph Matthes, Anders Mörtberg
2022 conf
TYPES
Kobe Wullaert, Ralph Matthes, Benedikt Ahrens
2022 J jnl
CoRR
Kobe Wullaert, Ralph Matthes, Benedikt Ahrens
2021 J jnl
Ann. Pure Appl. Log.
José Espírito Santo, Ralph Matthes, Luís Pinto
2021 J jnl
CoRR
Benedikt Ahrens, Ralph Matthes, Anders Mörtberg
2020 conf
TYPES
José Espírito Santo, Ralph Matthes, Luís Pinto
2020 J jnl
CoRR
José Espírito Santo, Ralph Matthes, Luís Pinto
2019 B conf
MPC
Dominique Larchey-Wendling, Ralph Matthes
2019 J jnl
Fundam. Informaticae
José Espírito Santo, Ralph Matthes, Luís Pinto
2019 J jnl
J. Autom. Reason.
Benedikt Ahrens, Ralph Matthes, Anders Mörtberg
2019 J jnl
Math. Struct. Comput. Sci.
José Espírito Santo, Ralph Matthes, Luís Pinto
2018 conf
TYPES
Ulrich Berger, Ralph Matthes, Anton Setzer
2017 J jnl
Fundam. Informaticae
David Baelde, Arnaud Carayol, Ralph Matthes, Igor Walukiewicz
2016 J jnl
CoRR
José Espírito Santo, Ralph Matthes, Luís Pinto
2016 J jnl
CoRR
Benedikt Ahrens, Ralph Matthes, Anders Mörtberg
2016 J jnl
CoRR
Benedikt Ahrens, Ralph Matthes
2016 J jnl
CoRR
José Espírito Santo, Ralph Matthes, Luís Pinto
2015 conf
TYPES
Benedikt Ahrens, Ralph Matthes
2015 ed.
FICS
Ralph Matthes, Matteo Mio
2014 ed.
TYPES
Ralph Matthes, Aleksy Schubert
2014 conf
CL&C
José Espírito Santo, Ralph Matthes, Koji Nakazawa, Luís Pinto
2013 conf
FICS
José Espírito Santo, Ralph Matthes, Luís Pinto
2013 J jnl
Math. Struct. Comput. Sci.
José Espírito Santo, Ralph Matthes, Koji Nakazawa, Luís Pinto
2013 Misc conf
ICTERI
Mathias Winckel, Ralph Matthes
2013 J jnl
RAIRO Theor. Informatics Appl.
Ralph Matthes, Tarmo Uustalu
2012 conf
CMCS
Célia Picard, Ralph Matthes
2012 J jnl
Math. Struct. Comput. Sci.
Ralph Matthes, Sergei Soloviev
2011 J jnl
Electron. Commun. Eur. Assoc. Softw. Sci. Technol.
Célia Picard, Ralph Matthes
2011 J jnl
Sci. Comput. Program.
Ralph Matthes
2011 conf
TYPES
Ralph Matthes, Célia Picard
2010 C conf
LOPSTR
Mathieu Giorgino, Martin Strecker, Ralph Matthes, Marc Pantel
2009 ed.
FICS
Ralph Matthes, Tarmo Uustalu
2009 J jnl
J. Funct. Program.
Ralph Matthes
2009 J jnl
Log. Methods Comput. Sci.
José Espírito Santo, Ralph Matthes, Luís Pinto
2008 conf
TYPES
José Espírito Santo, Ralph Matthes, Luís Pinto
2008 B conf
MPC
Ralph Matthes
2008 J jnl
Math. Struct. Comput. Sci.
Ralph Matthes, Sergei Soloviev
2008 C conf
CiE
Ralph Matthes
2007 conf
TLCA
José Espírito Santo, Ralph Matthes, Luís Pinto
2007 conf
TYPES
Ralph Matthes, Martin Strecker
2006 B conf
MPC
Ralph Matthes
2006 conf
MSFP@MPC
Ralph Matthes
2005 J jnl
Theor. Comput. Sci.
Andreas Abel, Ralph Matthes, Tarmo Uustalu
2005 J jnl
Ann. Pure Appl. Log.
Ralph Matthes
2004 B conf
CSL
Andreas Abel, Ralph Matthes
2004 J jnl
Theor. Comput. Sci.
Ralph Matthes, Tarmo Uustalu
2003 B conf
FoSSaCS
Andreas Abel, Ralph Matthes, Tarmo Uustalu
2003 conf
FICS
Andreas Abel, Ralph Matthes
2003 J jnl
Arch. Math. Log.
Felix Joachimski, Ralph Matthes
2003 conf
CMCS
Ralph Matthes, Tarmo Uustalu
2002 conf
TYPES
Andreas Abel, Ralph Matthes
2002 J jnl
Synth.
Ralph Matthes
2001 conf
Proof Theory in Computer Science
Ralph Matthes
2001 B conf
CSL
Ralph Matthes
2001 conf
TLCA
Ralph Matthes
2000 conf
ICALP Satellite Workshops
Ralph Matthes
2000 conf
RTA
Felix Joachimski, Ralph Matthes
1999
Ralph Matthes
1999 J jnl
RAIRO Theor. Informatics Appl.
Ralph Matthes
1998 B conf
CSL
Ralph Matthes
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)));