Carolyn Seaman

24 papers B 1Journal 14Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
J. Syst. Softw.
Zadia Codabux, Rodrigo O. Spínola, Carolyn Seaman, Matthias Galster
2025 J jnl
CoRR
Carolyn Seaman, Rashina Hoda, Robert Feldt
2024 J jnl
ACM Trans. Softw. Eng. Methodol.
Sávio Freire, Alexia Pacheco, Nicolli Rios, Boris Pérez, Camilo Castellanos, Darío Correal, Robert Ramac, Vladimir Mandic, Nebojsa Tausan, Gustavo López, Manoel G. Mendonça, Davide Falessi, Clemente Izurieta, Carolyn Seaman, Rodrigo O. Spínola
2024 J jnl
Inf. Softw. Technol.
Abdullah Aldaeej, Carolyn Seaman
2024 J jnl
J. Syst. Softw.
Erdem Tuna, Carolyn Seaman, Eray Tüzün
2024 J jnl
J. Softw. Eng. Res. Dev.
Sávio Freire, Nicolli Rios, Boris Pérez, Camilo Castellanos, Darío Correal, Robert Ramac, Vladimir Mandic, Nebojsa Tausan, Gustavo López, Alexia Pacheco, Manoel G. Mendonça, Davide Falessi, Clemente Izurieta, Carolyn Seaman, Rodrigo O. Spínola
2024 conf
MO2RE@ICSE
Evelyn Kempe, Aaron Massey, Carolyn Seaman, Sreedevi Sampath, Samin Semsar
2023 conf
PROFES (1)
Sávio Freire, Verusca Rocha, Manoel G. Mendonça, Clemente Izurieta, Carolyn Seaman, Rodrigo O. Spínola
2023 J jnl
J. Softw. Eng. Res. Dev.
Clara Berenguer, Adriano Borges, Sávio Freire, Nicolli Rios, Robert Ramac, Nebojsa Tausan, Boris Pérez, Camilo Castellanos, Darío Correal, Alexia Pacheco, Gustavo López, Manoel G. Mendonça, Davide Falessi, Carolyn Seaman, Vladimir Mandic, Clemente Izurieta, Rodrigo O. Spínola
2023 B conf
CHASE
Mayara Benício de Barros Souza, Fabio Q. B. da Silva, Carolyn Seaman
2023 J jnl
CoRR
Mayara Benício de Barros Souza, Fabio Q. B. da Silva, Carolyn Seaman
2023 J jnl
J. Syst. Softw.
Sávio Freire, Nicolli Rios, Boris Pérez, Camilo Castellanos, Darío Correal, Robert Ramac, Vladimir Mandic, Nebojsa Tausan, Gustavo López, Alexia Pacheco, Manoel G. Mendonça, Davide Falessi, Clemente Izurieta, Carolyn Seaman, Rodrigo O. Spínola
2022 J jnl
Inf. Softw. Technol.
Michael Felderer, Matthias Galster, Clemente Izurieta, Carolyn Seaman
2022 conf
SBQS
Gabriel Soares, Sávio Freire, Nicolli Rios, Boris Pérez, Camilo Castellanos, Darío Correal, Manoel G. Mendonça, Clemente Izurieta, Carolyn Seaman, Rodrigo O. Spínola
2022 J jnl
Int. J. Softw. Eng. Knowl. Eng.
Alexia Pacheco, Gabriela Marín-Raventós, Rodrigo O. Spínola, Gustavo López, Carolyn Seaman
2022 conf
WER
Larissa Barbosa L. Pinheiro, Sávio Freire, Nicolli Rios, Robert Ramac, Nebojsa Tausan, Boris Pérez, Camilo Castellanos, Darío Correal, Alexia Pacheco, Gustavo López, Vladimir Mandic, Rita Suzana Pitangueira Maciel, Manoel G. Mendonça, Davide Falessi, Clemente Izurieta, Carolyn Seaman, Rodrigo O. Spínola
2022 J jnl
J. Syst. Softw.
Robert Ramac, Vladimir Mandic, Nebojsa Tausan, Nicolli Rios, Sávio Freire, Boris Pérez, Camilo Castellanos, Darío Correal, Alexia Pacheco, Gustavo López, Clemente Izurieta, Carolyn Seaman, Rodrigo O. Spínola
2022 conf
TechDebt@ICSE
Diogo Pina, Alfredo Goldman, Carolyn Seaman
2022 conf
TechDebt@ICSE
Diogo Pina, Carolyn Seaman, Alfredo Goldman
2022 conf
IWSiB@ICSE
Abdullah Aldaeej, Carolyn Seaman
2021 J jnl
IEEE Softw.
Sávio Freire, Nicolli Rios, Boris Pérez, Camilo Castellanos, Darío Correal, Robert Ramac, Vladimir Mandic, Nebojsa Tausan, Alexia Pacheco, Gustavo López, Manoel Gomes de Mendonça Neto, Clemente Izurieta, Davide Falessi, Carolyn Seaman, Rodrigo Oliveira Spínola
2021 conf
SBQS
Clara Berenguer, Adriano Borges, Sávio Freire, Nicolli Rios, Nebojsa Tausan, Robert Ramac, Boris Pérez, Camilo Castellanos, Darío Correal, Alexia Pacheco, Gustavo López, Davide Falessi, Carolyn Seaman, Vladimir Mandic, Clemente Izurieta, Rodrigo O. Spínola
2021 J jnl
IEEE Softw.
Vladimir Mandic, Nebojsa Tausan, Robert Ramac, Sávio Freire, Nicolli Rios, Boris Pérez, Camilo Castellanos, Darío Correal, Alexia Pacheco, Gustavo López, Clemente Izurieta, Davide Falessi, Carolyn Seaman, Rodrigo Oliveira Spínola
2008 conf
WEUSE@ICSE
Medha Umarji, Mark Pohl, Carolyn Seaman, Akif Günes Koru, Hongfang Liu
redb/extractors/js_extractors/js_deobfuscation.py
← Index redb/extractors/js_extractors/js_deobfuscation.py python
import hashlib
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 PATTERNS

# String literals of 4+ characters; only used by the deobfuscation diff to count
# strings revealed after deobfuscation. Compiled once at module load.
_STRING_LITERAL_4PLUS_RE = re.compile(r"[\"\']([^\"\']{4,})[\"\']")


class JSDeobfuscationExtractor(JSExtractor):
    """Compute pre/post-deobfuscation metrics for a JS sample.

    The actual deobfuscation pass (external tool with jsbeautifier fallback)
    lives on `JSContext.deobfuscated` and is cached per sample, so any other
    extractor that needs the deobfuscated text reads the same value without
    re-running the subprocess. Configure the external tool via env vars:
        JS_DEOBFUSCATOR_PATH    Path or name (default: webcrack)
        JS_DEOBFUSCATE_TIMEOUT  Seconds (default: 60)
    """

    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.deobfuscation_result = None
        self.log.debug(inspect.currentframe().f_code.co_name)

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

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

        deobfuscated, deobfuscator_used = self._context.deobfuscated
        if deobfuscated is None:
            return None

        original_size = len(src)
        original_entropy = self._context.text_entropy
        deobfuscated_size = len(deobfuscated)
        deobfuscated_entropy = self._calculate_text_entropy(deobfuscated)
        size_change_ratio = round(deobfuscated_size / original_size, 4) if original_size else 0.0

        # Strings revealed by deobfuscation: matched literals are extracted from
        # both versions and the set difference is the count of "new" strings.
        original_strings = set(_STRING_LITERAL_4PLUS_RE.findall(src))
        deobfuscated_strings = set(_STRING_LITERAL_4PLUS_RE.findall(deobfuscated))
        new_strings = deobfuscated_strings - original_strings

        # Suspicious APIs revealed by deobfuscation. Both sides of the diff
        # come from JSContext caches: the raw scan is computed once for the
        # whole pipeline; the deobfuscated scan is computed once and reused
        # by JSSuspiciousAPIsExtractor's revealed_by_deobf rows.
        original_apis = {n for n in self._context.scan if n in PATTERNS}
        deobfuscated_apis = set(self._context.scan_deobfuscated)
        new_apis = deobfuscated_apis - original_apis

        deobfuscated_sha256 = hashlib.sha256(deobfuscated.encode('utf-8')).hexdigest()

        self.deobfuscation_result = {
            'deobfuscator_used': deobfuscator_used,
            'deobfuscation_successful': True,
            'original_size': original_size,
            'deobfuscated_size': deobfuscated_size,
            'size_change_ratio': size_change_ratio,
            'original_entropy': original_entropy,
            'deobfuscated_entropy': deobfuscated_entropy,
            'new_strings_found': len(new_strings),
            'new_apis_found': len(new_apis),
            'deobfuscated_sha256': deobfuscated_sha256,
        }
        return self.deobfuscation_result

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

            r = self.deobfuscation_result
            current_time = datetime.now(timezone.utc)
            data = [[
                self.sha256,
                r['deobfuscator_used'],
                int(r['deobfuscation_successful']),
                r['original_size'],
                r['deobfuscated_size'],
                r['size_change_ratio'],
                r['original_entropy'],
                r['deobfuscated_entropy'],
                r['new_strings_found'],
                r['new_apis_found'],
                r['deobfuscated_sha256'],
                current_time,
            ]]

            column_names = [
                "sha256", "deobfuscator_used", "deobfuscation_successful",
                "original_size", "deobfuscated_size", "size_change_ratio",
                "original_entropy", "deobfuscated_entropy",
                "new_strings_found", "new_apis_found",
                "deobfuscated_sha256", "analysis_date",
            ]

            column_type_names = [
                "FixedString(64)", "LowCardinality(String)", "UInt8",
                "UInt64", "UInt64", "Float64",
                "Float64", "Float64",
                "UInt32", "UInt32",
                "FixedString(64)", "DateTime64(3, 'UTC')",
            ]

            return (data, column_names, column_type_names)

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