Victoria Tiase

17 papers Misc 8Journal 3Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Appl. Clin. Inform.
Deborah Levy, Jennifer Withall, Rebecca Grochow Mishuris, Victoria Tiase, Courtney J. Diamond, Brian J. Douthit, Monika E. Grabowska, Rachel Y. Lee, Amanda J. Moy, Patricia Sengstack, Julia Adler-Milstein, Don Eugene Detmer, Kevin B. Johnson, James J. Cimino, Sarah Corley, Judy Murphy, S. Trent Rosenbloom, Kenrick Cato, Sarah Collins Rossetti
2024 conf
Nursing Informatics
Sarah Collins Rossetti, Jennifer Withall, Kathleen Kendle, Sarah Corley, Rebecca Grochow Mishuris, Mayfair Afiah Aboagyewah, Shawna Abdul, S. Trent Rosenbloom, Victoria Tiase, Elizabeth A. Sloss
2022 Misc conf
AMIA
Elizabeth E. Umberfield, Kenrick Cato, Gillian Strudwick, Victoria Tiase, Marisa Wilson
2020 Misc conf
AMIA
Allison B. McCoy, Karmen S. Williams, Wendy Chapman, Victoria Tiase, Sripriya Rajamani, Yalini Senathirajah, Kim M. Unertl, Theresa L. Jones, Courtney L. Hebert, Kelly Evans, Tiffani J. Bright
2019 Misc conf
AMIA
Victoria Tiase, Robin Austin, Christie L. Martin, Ruth M. Masterson Creber, Spyros Kitsiou
2018 Misc conf
AMIA
Tahir Rizvi, Soyeon Yoon, Hao Shi, Hyun Nam Su, Huaizhu O. Gao, Victoria Tiase, Robert Leviton, Yiye Zhang
2018 J jnl
J. Am. Medical Informatics Assoc.
Yiye Zhang, Richard Trepp, Weiguang Wang, Jorge M. Luna, David K. Vawdrey, Victoria Tiase
2017 Misc conf
AMIA
Anuj K. Dalal, Sarah A. Collins, Victoria Tiase, Kristin O'Reilly, Ryan Greysen
2017 Misc conf
AMIA
Yiye Zhang, Richard Trepp, Jorge M. Luna, David K. Vawdrey, Victoria Tiase
2016 Misc conf
AMIA
Raven David, Morgan Moy, Virginia Lorenzi, Andrew Flatgard, Angie Lee, Bruce Forman, Lucy Appert, Jennifer Ringler, Gilad J. Kuperman, Victoria Tiase, Rita Kukafka
2016 conf
CRI
Beatriz Ryan, Daniel Sorbello, Victoria Tiase, David K. Vawdrey
2016 J jnl
Int. J. Medical Informatics
Jennifer E. Prey, Fernanda Polubriaginof, Gilad J. Kuperman, Victoria Tiase, Sarah A. Collins, David K. Vawdrey
2015 conf
MedInfo
Jennifer E. Prey, Fernanda Polubriaginof, Gilad J. Kuperman, Victoria Tiase, Sarah A. Collins, David K. Vawdrey
2012 conf
Nursing Informatics
Robert Lucero, Barbara Sheehan, Po-Yin Yen, Olivia Velez, Diana L. Nobile-Hernandez, Victoria Tiase, Suzanne Bakken
2012 conf
Nursing Informatics
Victoria Tiase, Sofia Fatalevich, Aurelia Boyer
2012 Misc conf
AMIA
Victoria Tiase, Aurelia Boyer, Virginia Lorenzi, Adam B. Wilcox, I-Ping Shue
2012 conf
Nursing Informatics
Rebecca Schnall, Kenrick Cato, Victoria Tiase, Olivia Velez
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"