Carlos Seara

100 papers A 2B 9C 3Misc 1Journal 77Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Discret. Appl. Math.
José Fernández Goycoolea, Luis H. Herrera, Pablo Pérez-Lantero, Carlos Seara
2026 J jnl
Algorithmica
Carlos Alegría, Ioannis Mantas, Evanthia Papadopoulou, Marko Savic, Carlos Seara, Martin Suderland
2025 J jnl
J. Glob. Optim.
Carlos Alegría, Justin Dallant, Pablo Pérez-Lantero, Carlos Seara
2024 J jnl
Discret. Math.
Pablo Pérez-Lantero, Carlos Seara
2024 J jnl
Comput. Geom. Topol.
Clemens Huemer, Carlos Seara
2024 J jnl
J. Glob. Optim.
Pablo Pérez-Lantero, Carlos Seara, Jorge Urrutia
2023 J jnl
CoRR
Pablo Pérez-Lantero, Carlos Seara
2023 conf
SCCC
José Fernández Goycoolea, Luis H. Herrera, Carlos Seara
2023 J jnl
J. Comb. Optim.
Josué Corujo, David Flores-Peñaloza, Clemens Huemer, Pablo Pérez-Lantero, Carlos Seara
2023 J jnl
J. Glob. Optim.
Sergey Bereg, Oscar Chacón-Rivera, David Flores-Peñaloza, Clemens Huemer, Pablo Pérez-Lantero, Carlos Seara
2023 J jnl
J. Glob. Optim.
Carlos Alegría, David Orden, Carlos Seara, Jorge Urrutia
2023 B conf
FCT
Carlos Alegría, Justin Dallant, Pablo Pérez-Lantero, Carlos Seara
2023 J jnl
CoRR
Carlos Alegría, Ioannis Mantas, Evanthia Papadopoulou, Marko Savic, Carlos Seara, Martin Suderland
2022 J jnl
CoRR
Pablo Pérez-Lantero, Carlos Seara, Jorge Urrutia
2022 J jnl
CoRR
Carlos Alegría, David Orden, Carlos Seara, Jorge Urrutia
2022 J jnl
Discuss. Math. Graph Theory
Antoni Lozano, Mercè Mora, Carlos Seara, Joaquín Tey
2021 J jnl
J. Glob. Optim.
Carlos Alegría, David Orden, Carlos Seara, Jorge Urrutia
2021 B conf
ISAAC
Bengt J. Nilsson, David Orden, Leonidas Palios, Carlos Seara, Pawel Zylinski
2021 J jnl
Algorithmica
Luis Evaristo Caraballo, Pablo Pérez-Lantero, Carlos Seara, Inmaculada Ventura
2021 J jnl
SIAM J. Comput.
Hernán González-Aguilar, David Orden, Pablo Pérez-Lantero, David Rappaport, Carlos Seara, Javier Tejel, Jorge Urrutia
2021 J jnl
J. Glob. Optim.
Alejandra Martínez-Moraian, David Orden, Leonidas Palios, Carlos Seara, Pawel Zylinski
2021 A conf
ESA
Carlos Alegría, Ioannis Mantas, Evanthia Papadopoulou, Marko Savic, Hendrik Schrezenmaier, Carlos Seara, Martin Suderland
2020 B conf
WALCOM
Josué Corujo, David Flores-Peñaloza, Clemens Huemer, Pablo Pérez-Lantero, Carlos Seara
2020 B conf
LATIN
Pablo Pérez-Lantero, Carlos Seara, Jorge Urrutia
2020 Misc conf
COCOON
Bengt J. Nilsson, David Orden, Leonidas Palios, Carlos Seara, Pawel Zylinski
2020 J jnl
CoRR
Bengt J. Nilsson, David Orden, Leonidas Palios, Carlos Seara, Pawel Zylinski
2019 J jnl
Appl. Math. Comput.
Antoni Lozano, Mercè Mora, Carlos Seara
2019 J jnl
Theory Comput. Syst.
Carlos Alegría-Galicia, David Orden, Leonidas Palios, Carlos Seara, Jorge Urrutia
2019 J jnl
Int. J. Comput. Geom. Appl.
Alexander Pilz, Carlos Seara
2019 J jnl
Discret. Math. Theor. Comput. Sci.
Bernardo M. Ábrego, Silvia Fernández-Merchant, Mikio Kano, David Orden, Pablo Pérez-Lantero, Carlos Seara, Javier Tejel
2019 J jnl
CoRR
Clemens Huemer, Pablo Pérez-Lantero, Carlos Seara, Rodrigo I. Silveira
2019 J jnl
Discret. Math.
Clemens Huemer, Pablo Pérez-Lantero, Carlos Seara, Rodrigo I. Silveira
2019 B conf
FCT
Hernán González-Aguilar, David Orden, Pablo Pérez-Lantero, David Rappaport, Carlos Seara, Javier Tejel, Jorge Urrutia
2019 J jnl
CoRR
Hernán González-Aguilar, David Orden, Pablo Pérez-Lantero, David Rappaport, Carlos Seara, Javier Tejel, Jorge Urrutia
2019 J jnl
CoRR
Sergey Bereg, Oscar Chacón-Rivera, David Flores-Peñaloza, Clemens Huemer, Pablo Pérez-Lantero, Carlos Seara
2018 J jnl
CoRR
Carlos Alegría-Galicia, David Orden, Leonidas Palios, Carlos Seara, Jorge Urrutia
2018 J jnl
CoRR
David Orden, Leonidas Palios, Carlos Seara, Pawel Zylinski
2018 B conf
LATIN
Luis Evaristo Caraballo, Pablo Pérez-Lantero, Carlos Seara, Inmaculada Ventura
2018 J jnl
Comput. Geom.
Mercè Claverol, Alfredo García Olaverri, Delia Garijo, Carlos Seara, Javier Tejel
2018 J jnl
Comput. Geom.
Carlos Alegría-Galicia, David Orden, Carlos Seara, Jorge Urrutia
2018 J jnl
Algorithmica
Mercè Claverol, Elena Khramtcova, Evanthia Papadopoulou, Maria Saumell, Carlos Seara
2017 J jnl
CoRR
Bernardo M. Ábrego, Silvia Fernández-Merchant, Mikio Kano, David Orden, Pablo Pérez-Lantero, Carlos Seara, Javier Tejel
2017 J jnl
CoRR
Sergey Bereg, Matias Korman, Rodrigo I. Silveira, Ferran Hurtado, Dolores Lara, Jorge Urrutia, Mikio Kano, Carlos Seara, Kevin Verbeek
2017 J jnl
Electron. Notes Discret. Math.
Clemens Huemer, Alexander Pilz, Carlos Seara, Rodrigo I. Silveira
2017 J jnl
CoRR
Carlos Alegría-Galicia, David Orden, Carlos Seara, Jorge Urrutia
2017 J jnl
Appl. Math. Comput.
Mercè Claverol, Delia Garijo, Matias Korman, Carlos Seara, Rodrigo I. Silveira
2017 J jnl
CoRR
Mercè Claverol, Delia Garijo, Matias Korman, Carlos Seara, Rodrigo I. Silveira
2016 J jnl
CoRR
Mercè Claverol, Alfredo García Olaverri, Delia Garijo, Carlos Seara, Javier Tejel
2016 J jnl
Electron. Notes Discret. Math.
Clemens Huemer, Carlos Seara, Rodrigo I. Silveira, Alexander Pilz
2016 B conf
LATIN
Mercè Claverol, Elena Khramtcova, Evanthia Papadopoulou, Maria Saumell, Carlos Seara
2015 J jnl
Discret. Appl. Math.
Sergey Bereg, Ferran Hurtado, Mikio Kano, Matias Korman, Dolores Lara, Carlos Seara, Rodrigo I. Silveira, Jorge Urrutia, Kevin Verbeek
2015 J jnl
Comput. Geom.
José Miguel Díaz-Báñez, Matias Korman, Pablo Pérez-Lantero, Alexander Pilz, Carlos Seara, Rodrigo I. Silveira
2015 J jnl
CoRR
Carlos Alegría-Galicia, David Orden, Carlos Seara, Jorge Urrutia
2015 J jnl
CoRR
Carlos Alegría-Galicia, Tzolkin Garduño, Carlos Seara, Areli Rosas-Navarrete, Jorge Urrutia
2015 B conf
FCT
Mercè Claverol, Delia Garijo, Matias Korman, Carlos Seara, Rodrigo I. Silveira
2013 C conf
CIAC
José Miguel Díaz-Báñez, Matias Korman, Pablo Pérez-Lantero, Alexander Pilz, Carlos Seara, Rodrigo I. Silveira
2013 J jnl
Comput. Geom.
Greg Aloupis, Jean Cardinal, Sébastien Collette, Erik D. Demaine, Martin L. Demaine, Muriel Dulieu, Ruy Fabila-Monroy, Vi Hart, Ferran Hurtado, Stefan Langerman, Maria Saumell, Carlos Seara, Perouz Taslakian
2013 J jnl
Graphs Comb.
Crevel Bautista-Santiago, Marco A. Heredia, Clemens Huemer, Adriana Ramírez-Vigueras, Carlos Seara, Jorge Urrutia
2013 J jnl
Comput. Geom.
Sergey Bereg, José Miguel Díaz-Báñez, Dolores Lara, Pablo Pérez-Lantero, Carlos Seara, Jorge Urrutia
2013 J jnl
Ars Comb.
M. Carmen Hernando, Mercè Mora, Ignacio M. Pelayo, Carlos Seara
2012 J jnl
Electron. J. Comb.
Carlos Seara, Antoni Lozano, Mercè Mora
2012 J jnl
Discret. Appl. Math.
Boris Aronov, Delia Garijo, Yurai Núñez Rodríguez, David Rappaport, Carlos Seara, Jorge Urrutia
2012 J jnl
CoRR
José Miguel Díaz-Báñez, Matias Korman, Pablo Pérez-Lantero, Alexander Pilz, Carlos Seara, Rodrigo I. Silveira
2012 J jnl
Int. J. Comput. Geom. Appl.
Esther M. Arkin, Delia Garijo, Alberto Márquez, Joseph S. B. Mitchell, Carlos Seara
2012 J jnl
Comput. Geom.
Sergey Bereg, Sergio Cabello, José Miguel Díaz-Báñez, Pablo Pérez-Lantero, Carlos Seara, Inmaculada Ventura
2011 J jnl
Comput. Geom.
José Miguel Díaz-Báñez, Mario Alberto López, Mercè Mora, Carlos Seara, Inmaculada Ventura
2011 J jnl
Int. J. Comput. Geom. Appl.
Prosenjit Bose, Mercè Mora, Carlos Seara, Saurabh Sethia
2011 conf
EGC
Carlos Alegría-Galicia, Tzolkin Garduño, Areli Rosas-Navarrete, Carlos Seara, Jorge Urrutia
2011 J jnl
Comput. Geom.
Mercè Claverol, Delia Garijo, Clara I. Grima, Alberto Márquez, Carlos Seara
2010 J jnl
Electron. J. Comb.
M. Carmen Hernando, Mercè Mora, Ignacio M. Pelayo, Carlos Seara, David R. Wood
2010 J jnl
Eur. J. Oper. Res.
Sergio Cabello, José Miguel Díaz-Báñez, Stefan Langerman, Carlos Seara, Inmaculada Ventura
2010 B conf
LATIN
Greg Aloupis, Jean Cardinal, Sébastien Collette, Erik D. Demaine, Martin L. Demaine, Muriel Dulieu, Ruy Fabila-Monroy, Vi Hart, Ferran Hurtado, Stefan Langerman, Maria Saumell, Carlos Seara, Perouz Taslakian
2010 J jnl
Electron. J. Comb.
José Cáceres, Delia Garijo, María Luz Puertas, Carlos Seara
2009 J jnl
J. Algorithms
Carmen Cortés, José Miguel Díaz-Báñez, Pablo Pérez-Lantero, Carlos Seara, Jorge Urrutia, Inmaculada Ventura
2009 J jnl
Comput. Geom.
Boris Aronov, Franz Aurenhammer, Ferran Hurtado, Stefan Langerman, David Rappaport, Carlos Seara, Shakhar Smorodinsky
2008 J jnl
Comput. Geom.
Sergio Cabello, José Miguel Díaz-Báñez, Carlos Seara, Joan Antoni Sellarès, Jorge Urrutia, Inmaculada Ventura
2008 J jnl
Discret. Appl. Math.
José Cáceres, M. Carmen Hernando, Mercè Mora, Ignacio M. Pelayo, María Luz Puertas, Carlos Seara
2007 J jnl
Electron. Notes Discret. Math.
M. Carmen Hernando, Mercè Mora, Ignacio M. Pelayo, Carlos Seara, David R. Wood
2007 J jnl
Comput. Geom.
Sergey Bereg, José Miguel Díaz-Báñez, Carlos Seara, Inmaculada Ventura
2007 J jnl
SIAM J. Discret. Math.
José Cáceres, M. Carmen Hernando, Mercè Mora, Ignacio M. Pelayo, María Luz Puertas, Carlos Seara, David R. Wood
2006 J jnl
Discret. Math.
José Cáceres, M. Carmen Hernando, Mercè Mora, Ignacio M. Pelayo, María Luz Puertas, Carlos Seara
2006 J jnl
Int. J. Comput. Geom. Appl.
Esther M. Arkin, Ferran Hurtado, Joseph S. B. Mitchell, Carlos Seara, Steven Skiena
2006 J jnl
Electron. Notes Discret. Math.
M. Carmen Hernando, Mercè Mora, Ignacio M. Pelayo, Carlos Seara
2005 C conf
EuroCG
José Miguel Díaz-Báñez, Carlos Seara, Joan Antoni Sellarès, Jorge Urrutia, Inmaculada Ventura
2005 J jnl
Discret. Math.
M. Carmen Hernando, Tao Jiang, Mercè Mora, Ignacio M. Pelayo, Carlos Seara
2005 J jnl
Electron. Notes Discret. Math.
M. Carmen Hernando, Mercè Mora, Ignacio M. Pelayo, Carlos Seara, José Cáceres, María Luz Puertas
2005 J jnl
Int. J. Comput. Geom. Appl.
Ferran Hurtado, Carlos Seara, Saurabh Sethia
2005 conf
CCCG
Sergio Cabello, José Miguel Díaz-Báñez, Stefan Langerman, Carlos Seara, Inmaculada Ventura
2005 J jnl
Electron. Notes Discret. Math.
José Cáceres, María Luz Puertas, M. Carmen Hernando, Mercè Mora, Ignacio M. Pelayo, Carlos Seara
2005 conf
CCCG
Boris Aronov, Franz Aurenhammer, Ferran Hurtado, Stefan Langerman, David Rappaport, Shakhar Smorodinsky, Carlos Seara
2004 conf
CCCG
Prosenjit Bose, Carlos Seara, Saurabh Sethia
2004 J jnl
Discret. Appl. Math.
Ferran Hurtado, Mercè Mora, Pedro A. Ramos, Carlos Seara
2003 J jnl
Comput. Geom.
Olivier Devillers, Ferran Hurtado, Gyula Károlyi, Carlos Seara
2003 conf
ICCSA (3)
Ferran Hurtado, Carlos Seara, Saurabh Sethia
2001 J jnl
Discret. Appl. Math.
Ferran Hurtado, Marc Noy, Pedro A. Ramos, Carlos Seara
2001 conf
CCCG
Olivier Devillers, Ferran Hurtado, Mercè Mora, Carlos Seara
2000 C conf
EuroCG
Esther M. Arkin, Ferran Hurtado, Joseph S. B. Mitchell, Carlos Seara, Steven Skiena
1998 conf
CCCG
Ferran Hurtado, Marc Noy, Pedro A. Ramos, Carlos Seara
1996 J jnl
RAIRO Theor. Informatics Appl.
Jorge Castro, Carlos Seara
1992 A conf
STACS
Jorge Castro, Carlos Seara
redb/extractors/js_extractors/js_strings.py
← Index redb/extractors/js_extractors/js_strings.py python
import base64
import bisect
import inspect
import re
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.js_extractor import JSExtractor
from redb.extractors.js_extractors.js_patterns import STRING_PATTERNS, line_offsets

# Local aliases for the compiled patterns this extractor uses. Defined and
# compiled exactly once in js_patterns.STRING_PATTERNS.
_HEX_STRING_RE = STRING_PATTERNS["hex_escape_seq"]
_UNICODE_STRING_RE = STRING_PATTERNS["unicode_escape_seq"]
_CHARCODE_RE = STRING_PATTERNS["charcode_call"]
_BASE64_STRING_RE = STRING_PATTERNS["base64_quoted"]
_CONCAT_STRING_RE = STRING_PATTERNS["concat_chain"]

# Tokeniser used inside _reconstruct_concat to pull each quoted part out of a
# matched concat chain. Compiled once at module load (was recompiled on every
# concat match before).
_CONCAT_TOKEN_RE = re.compile(r'["\']([^"\']*)["\']')


class JSStringsExtractor(JSExtractor):

    def __init__(
        self, filepath, log, exporters=None, index_prefix=None,
        known_benign=False, known_malicious=False, source=None, context=None,
    ):
        super().__init__(
            filepath, log, exporters, index_prefix,
            known_benign, known_malicious, source, context=context,
        )
        self.string_findings = None
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.JS_STRINGS.value

    def _decode_hex_string(self, hex_str):
        """Decode \\x41\\x42 style hex strings."""
        try:
            # Remove \\x prefix and decode
            clean = hex_str.replace('\\x', '')
            return bytes.fromhex(clean).decode('utf-8', errors='replace')
        except Exception:
            return None

    def _decode_unicode_string(self, uni_str):
        """Decode \\u0041\\u0042 style unicode strings."""
        try:
            return uni_str.encode('utf-8').decode('unicode_escape')
        except Exception:
            return None

    def _decode_charcode(self, charcode_str):
        """Decode String.fromCharCode(72, 101, 108, ...) sequences."""
        try:
            codes = [int(c.strip()) for c in charcode_str.split(',') if c.strip().isdigit()]
            return ''.join(chr(c) for c in codes if 0 <= c <= 0x10FFFF)
        except Exception:
            return None

    def _decode_base64(self, b64_str):
        """Attempt to decode base64 string."""
        try:
            decoded = base64.b64decode(b64_str)
            # Check if result is printable text
            text = decoded.decode('utf-8', errors='strict')
            # Only return if it looks like text (>80% printable)
            printable = sum(1 for c in text if c.isprintable() or c in '\n\r\t')
            if printable / len(text) > 0.8:
                return text
        except Exception:
            pass
        return None

    def _reconstruct_concat(self, concat_match):
        """Reconstruct concatenated string parts."""
        try:
            parts = _CONCAT_TOKEN_RE.findall(concat_match)
            return ''.join(parts)
        except Exception:
            return None

    def _find_line_number(self, match_start):
        """1-indexed line number for `match_start`, looked up in O(log L) via
        bisect over `self._line_offsets` (built once per extract() call).

        Replaces the historical `self.js_source[:match_start].count('\\n') + 1`
        which was O(N) per call and quadratic across all matches in a sample.
        """
        return bisect.bisect_right(self._line_offsets, match_start)

    def _scan_text(self, text):
        """Run every encoded-string pattern over `text` and return a list of
        finding dicts. Stateless apart from the per-call `_line_offsets` cache,
        which `_find_line_number` reads — callers must reset it before invoking
        this so line numbers reference the text being scanned, not the previous
        one.
        """
        findings = []

        # Hex-encoded strings
        for m in _HEX_STRING_RE.finditer(text):
            raw = m.group()
            decoded = self._decode_hex_string(raw)
            if decoded and len(decoded) >= 4:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'hex',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # Unicode-encoded strings
        for m in _UNICODE_STRING_RE.finditer(text):
            raw = m.group()
            decoded = self._decode_unicode_string(raw)
            if decoded and len(decoded) >= 3:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'unicode',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # String.fromCharCode sequences
        for m in _CHARCODE_RE.finditer(text):
            raw = m.group()
            decoded = self._decode_charcode(m.group(1))
            if decoded and len(decoded) >= 4:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'charcode',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # Base64-encoded strings
        for m in _BASE64_STRING_RE.finditer(text):
            raw = m.group(0)
            b64_val = m.group(1)
            decoded = self._decode_base64(b64_val)
            if decoded and len(decoded) >= 10:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'base64',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # Concatenated strings (reassembled)
        for m in _CONCAT_STRING_RE.finditer(text):
            raw = m.group()
            reconstructed = self._reconstruct_concat(raw)
            if reconstructed and len(reconstructed) >= 20:
                findings.append({
                    'string': reconstructed[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'concat',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(reconstructed),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(reconstructed),
                })

        return findings

    def extract(self):
        src = self.js_source
        if not src:
            return None

        # Pass 1: raw source. _line_offsets is keyed off whichever text is
        # currently being scanned so _find_line_number resolves to that text.
        self._line_offsets = line_offsets(src)
        findings = self._scan_text(src)

        # Pass 2: deobfuscated text, when the deobfuscator produced something
        # meaningfully different. Same patterns, but a different surface — for
        # samples where the encoded payload is hidden behind an outer wrapper
        # (e.g. array.join() + eval in Vjw0rm/WSH-RAT) only this pass yields
        # any rows at all.
        deobf_text, _ = self._context.deobfuscated
        if deobf_text and deobf_text != src:
            self._line_offsets = line_offsets(deobf_text)
            findings.extend(self._scan_text(deobf_text))

        if not findings:
            return None

        # Deduplicate by decoded string value (raw pass wins on collision: it
        # comes first in `findings`). A string that surfaces only in the
        # deobfuscated text still gets persisted, which is the whole point of
        # the second pass.
        seen_values = set()
        deduped = []
        for f in findings:
            val_key = f['string'][:100]
            if val_key not in seen_values:
                seen_values.add(val_key)
                deduped.append(f)

        self.string_findings = deduped[:500]  # Limit per file
        # Publish to the shared context so post-loop consumers (notably the IOC
        # plumbing in workers.py) can scrape the decoded strings without
        # holding a reference to this extractor instance.
        self._context.decoded_strings = self.string_findings
        return self.string_findings

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ClickHouseExporter":
            if not self.string_findings:
                return None

            data = []
            for f in self.string_findings:
                data.append([
                    self.sha256,
                    f['string'],
                    f['string_raw'],
                    f['string_encoding'],
                    f['string_offset'],
                    f['string_length'],
                    f['string_raw_length'],
                    f['string_entropy'],
                ])

            column_names = [
                "sha256",
                "string",
                "string_raw",
                "string_encoding",
                "string_offset",
                "string_length",
                "string_raw_length",
                "string_entropy",
            ]

            column_type_names = [
                "FixedString(64)",
                "String",
                "String",
                "LowCardinality(String)",
                "UInt64",
                "UInt32",
                "UInt32",
                "Float32",
            ]

            return (data, column_names, column_type_names)

    def get_clickhouse_table(self) -> str:
        return "code_binja_strings_raw"