Karthik Narasimhan

147 papers A* 27Misc 2Journal 90Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
ACM Comput. Surv.
Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande, Bruno Castro da Silva
2026 J jnl
CoRR
Quan Shi, Alexandra Zytek, Pedram Razavi, Karthik Narasimhan, Victor Barres
2026 J jnl
CoRR
Soham Ray, Keshav Dhandhania, Victor Barres, Karthik Narasimhan
2025 J jnl
CoRR
Yitao Liu, Chenglei Si, Karthik Narasimhan, Shunyu Yao
2025 J jnl
CoRR
Quan Shi, Carlos E. Jimenez, Stephen Dong, Brian Seo, Caden Yao, Adam Kelch, Karthik Narasimhan
2025 conf
COLING (Industry)
Akshara Prabhakar, Yuanzhi Li, Karthik Narasimhan, Sham M. Kakade, Eran Malach, Samy Jelassi
2025 J jnl
CoRR
Ujwal Narayan, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Karthik Narasimhan, Ameet Deshpande, Vishvak Murahari
2025 J jnl
CoRR
Howard Chen, Noam Razin, Karthik Narasimhan, Danqi Chen
2025 J jnl
CoRR
Wenjun Zeng, Dana Kurniawan, Ryan Mullins, Yuchi Liu, Tamoghna Saha, Dirichi Ike-Njoku, Jindong Gu, Yiwen Song, Cai Xu, Jingjing Zhou, Aparna Joshi, Shravan Dheep, Mani Malek, Hamid Palangi, Joon Baek, Rick Pereira, Karthik Narasimhan
2025 J jnl
CoRR
Quan Shi, Carlos E. Jimenez, Shunyu Yao, Nick Haber, Diyi Yang, Karthik Narasimhan
2025 J jnl
CoRR
Victor Barres, Honghua Dong, Soham Ray, Xujie Si, Karthik Narasimhan
2024 J jnl
CoRR
Creston Brooks, Johannes Haubold, Charlie Cowen-Breen, Jay White, Desmond DeVaul, Frederick Riemenschneider, Karthik Narasimhan, Barbara Graziosi
2024 J jnl
CoRR
Quan Shi, Michael Tang, Karthik Narasimhan, Shunyu Yao
2024 J jnl
Trans. Mach. Learn. Res.
Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths
2024 J jnl
CoRR
Talor Abramovich, Meet Udeshi, Minghao Shao, Kilian Lieret, Haoran Xi, Kimberly Milner, Sofija Jancheska, John Yang, Carlos E. Jimenez, Farshad Khorrami, Prashanth Krishnamurthy, Brendan Dolan-Gavitt, Muhammad Shafique, Karthik Narasimhan, Ramesh Karri, Ofir Press
2024 A* conf
KDD
Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande
2024 conf
NAACL-HLT (Findings)
Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan
2024 J jnl
CoRR
Tanushree Banerjee, Richard Zhu, Runzhe Yang, Karthik Narasimhan
2024 J jnl
CoRR
Alex Zhang, Khanh Nguyen, Jens Tuyls, Albert Lin, Karthik Narasimhan
2024 J jnl
CoRR
Akshara Prabhakar, Yuanzhi Li, Karthik Narasimhan, Sham M. Kakade, Eran Malach, Samy Jelassi
2024 J jnl
CoRR
Vinay Samuel, Henry Peng Zou, Yue Zhou, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Ameet Deshpande, Karthik Narasimhan, Vishvak Murahari
2024 conf
NAACL-HLT
Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
2024 J jnl
CoRR
Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande, Bruno Castro da Silva
2024 conf
ACL (Findings)
Michael Tang, Shunyu Yao, John Yang, Karthik Narasimhan
2024 A* conf
NeurIPS
John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, Ofir Press
2024 J jnl
CoRR
John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, Ofir Press
2024 J jnl
CoRR
Wenjun Zeng, Yuchi Liu, Ryan Mullins, Ludovic Peran, Joe Fernandez, Hamza Harkous, Karthik Narasimhan, Drew Proud, Piyush Kumar, Bhaktipriya Radharapu, Olivia Sturman, Oscar Wahltinez
2024 J jnl
CoRR
Shunyu Yao, Noah Shinn, Pedram Razavi, Karthik Narasimhan
2023 J jnl
CoRR
Ameet Deshpande, Tanmay Rajpurohit, Karthik Narasimhan, Ashwin Kalyan
2023 J jnl
CoRR
Aniket Agarwal, Alex Zhang, Karthik Narasimhan, Igor Gilitschenski, Vishvak Murahari, Yash Kant
2023 A* conf
EMNLP
Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan
2023 J jnl
CoRR
Shunyu Yao, Howard Chen, Austin W. Hanjie, Runzhe Yang, Karthik Narasimhan
2023 J jnl
CoRR
Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan
2023 J jnl
CoRR
Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths
2023 J jnl
CoRR
Baian Chen, Chang Shu, Ehsan Shareghi, Nigel Collier, Karthik Narasimhan, Shunyu Yao
2023 J jnl
CoRR
Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan
2023 A* conf
NeurIPS
John Yang, Akshara Prabhakar, Karthik Narasimhan, Shunyu Yao
2023 J jnl
CoRR
John Yang, Akshara Prabhakar, Karthik Narasimhan, Shunyu Yao
2023 conf
EMNLP (Findings)
Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan
2023 conf
RepL4NLP@ACL
Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan
2023 J jnl
CoRR
Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan
2023 J jnl
CoRR
Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan
2023 conf
ACL (Findings)
Yushan Su, Vishvak Murahari, Karthik Narasimhan, Kai Li
2023 J jnl
CoRR
Yushan Su, Vishvak Murahari, Karthik Narasimhan, Kai Li
2023 J jnl
CoRR
Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
2023 J jnl
CoRR
Michael Tang, Shunyu Yao, John Yang, Karthik Narasimhan
2023 A* conf
NeurIPS
Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao
2023 J jnl
CoRR
Carlos E. Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, Karthik Narasimhan
2023 J jnl
CoRR
Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Karthik Narasimhan, Sham M. Kakade
2023 J jnl
CoRR
Pranjal Aggarwal, Ameet Deshpande, Karthik Narasimhan
2023 J jnl
CoRR
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan
2023 conf
EMNLP (Findings)
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan
2023 A* conf
NeurIPS
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, Karthik Narasimhan
2023 J jnl
CoRR
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, Karthik Narasimhan
2022 J jnl
CoRR
Henry Tang, Ameet Deshpande, Karthik Narasimhan
2022 conf
ACL (1)
Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan
2022 J jnl
CoRR
Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan
2022 conf
NAACL-HLT
Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen
2022 J jnl
CoRR
Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen
2022 J jnl
CoRR
Howard Chen, Huihan Li, Danqi Chen, Karthik Narasimhan
2022 A* conf
NeurIPS
Vishvak Murahari, Carlos E. Jimenez, Runzhe Yang, Karthik Narasimhan
2022 J jnl
CoRR
Vishvak Murahari, Carlos E. Jimenez, Runzhe Yang, Karthik Narasimhan
2022 A* conf
NeurIPS
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
2022 J jnl
CoRR
Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik Narasimhan, Anirudha Majumdar
2022 A* conf
ICLR
Jens Tuyls, Shunyu Yao, Sham M. Kakade, Karthik Narasimhan
2022 J jnl
CoRR
Jens Tuyls, Shunyu Yao, Sham M. Kakade, Karthik Narasimhan
2022 conf
ECCV (14)
Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky
2022 J jnl
CoRR
Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky
2022 J jnl
CoRR
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao
2022 conf
MLSys
Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali
2022 J jnl
CoRR
Ameet Deshpande, Md. Arafat Sultan, Anthony Ferritto, Ashwin Kalyan, Karthik Narasimhan, Avirup Sil
2022 J jnl
CoRR
Austin W. Hanjie, Ameet Deshpande, Karthik Narasimhan
2022 J jnl
CoRR
Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Nathaniel D. Daw, Jonathan D. Cohen, Karthik Narasimhan, Thomas L. Griffiths
2022 A* conf
NeurIPS
Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Jonathan D. Cohen, Nathaniel D. Daw, Karthik Narasimhan, Tom Griffiths
2022 A* conf
NeurIPS
Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan
2022 J jnl
CoRR
Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan
2022 conf
NAACL-HLT
Ameet Deshpande, Partha Talukdar, Karthik Narasimhan
2021 A* conf
ICML
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
2021 A* conf
ICML
Austin W. Hanjie, Victor Zhong, Karthik Narasimhan
2021 J jnl
CoRR
H. J. Austin Wang, Karthik Narasimhan
2021 conf
ACL/IJCNLP (1)
Runzhe Yang, Jingxiao Chen, Karthik Narasimhan
2021 A* conf
AAAI
Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths
2021 conf
NAACL-HLT
Shunyu Yao, Karthik Narasimhan, Matthew J. Hausknecht
2021 J jnl
CoRR
Shunyu Yao, Karthik Narasimhan, Matthew J. Hausknecht
2021 J jnl
CoRR
Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali
2021 A* conf
NeurIPS
Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer
2021 J jnl
CoRR
Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer
2021 A* conf
NeurIPS
Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan
2021 conf
ACL/IJCNLP (1)
Shunyu Yao, Binghui Peng, Christos H. Papadimitriou, Karthik Narasimhan
2021 J jnl
CoRR
Shunyu Yao, Binghui Peng, Christos H. Papadimitriou, Karthik Narasimhan
2021 conf
NAACL-HLT
Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan
2021 J jnl
CoRR
Ameet Deshpande, Partha Talukdar, Karthik Narasimhan
2020 J jnl
CoRR
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
2020 A* conf
ICML
Mark Braverman, Xinyi Chen, Sham M. Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang
2020 J jnl
CoRR
Rachit Dubey, Erin Grant, Michael Luo, Karthik Narasimhan, Thomas L. Griffiths
2020 A* conf
NeurIPS
Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
2020 J jnl
CoRR
Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
2020 J jnl
CoRR
Runzhe Yang, Jingxiao Chen, Karthik Narasimhan
2020 conf
EMNLP (Findings)
Ameet Deshpande, Karthik Narasimhan
2020 J jnl
CoRR
Ameet Deshpande, Karthik Narasimhan
2020 conf
EMNLP (1)
Shunyu Yao, Rohan Rao, Matthew J. Hausknecht, Karthik Narasimhan
2020 J jnl
CoRR
Shunyu Yao, Rohan Rao, Matthew J. Hausknecht, Karthik Narasimhan
2020 J jnl
CoRR
Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths
2020 A* conf
NeurIPS
Raeid Saqur, Karthik Narasimhan
2020 A* conf
ICLR
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
2020 J jnl
CoRR
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
2020 conf
EMNLP (Findings)
Tsung-Yen Yang, Andrew S. Lan, Karthik Narasimhan
2020 J jnl
CoRR
Tsung-Yen Yang, Karthik Narasimhan
2020 J jnl
CoRR
Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan
2020 conf
CVPR Workshops
Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
2020 J jnl
CoRR
Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
2020 conf
ECCV (7)
Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky
2020 J jnl
CoRR
Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky
2020 J jnl
CoRR
Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan
2019 A* conf
NeurIPS
Runzhe Yang, Xingyuan Sun, Karthik Narasimhan
2019 J jnl
CoRR
Runzhe Yang, Xingyuan Sun, Karthik Narasimhan
2019 conf
SoCC
Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Ravi Netravali
2019 J jnl
CoRR
Mark Braverman, Xinyi Chen, Sham M. Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang
2019 A* conf
ICML
Yilun Du, Karthik Narasimhan
2019 J jnl
CoRR
Yilun Du, Karthik Narasimhan
2018 J jnl
J. Artif. Intell. Res.
Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola
2018 J jnl
Trans. Assoc. Comput. Linguistics
Michaela Jänner, Karthik Narasimhan, Regina Barzilay
2017 Misc conf
ICASSP
Charl Johannes van Heerden, Damianos G. Karakos, Karthik Narasimhan, Marelie H. Davel, Richard M. Schwartz
2017 J jnl
CoRR
Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola
2017
Karthik Narasimhan
2017 J jnl
CoRR
Michaela Jänner, Karthik Narasimhan, Regina Barzilay
2017 J jnl
CoRR
Jiaming Luo, Karthik Narasimhan, Regina Barzilay
2017 J jnl
Trans. Assoc. Comput. Linguistics
Jiaming Luo, Karthik Narasimhan, Regina Barzilay
2016 conf
NIPS
Tejas D. Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Josh Tenenbaum
2016 J jnl
CoRR
Tejas D. Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Joshua B. Tenenbaum
2016 A* conf
EMNLP
Karthik Narasimhan, Adam Yala, Regina Barzilay
2016 J jnl
CoRR
Karthik Narasimhan, Adam Yala, Regina Barzilay
2016 A* conf
EMNLP
Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay
2016 J jnl
CoRR
Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay
2016 conf
ACL (2)
Kayhan N. Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, Samuel Gershman
2016 J jnl
CoRR
Kayhan N. Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, Samuel Gershman
2016 conf
SPLASH (Companion Volume)
Yewen Pu, Karthik Narasimhan, Armando Solar-Lezama, Regina Barzilay
2016 J jnl
CoRR
Yewen Pu, Karthik Narasimhan, Armando Solar-Lezama, Regina Barzilay
2015 J jnl
CoRR
Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola
2015 J jnl
Trans. Assoc. Comput. Linguistics
Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola
2015 A* conf
ICML
Jonathan H. Huggins, Karthik Narasimhan, Ardavan Saeedi, Vikash Mansinghka
2015 J jnl
CoRR
Jonathan H. Huggins, Karthik Narasimhan, Ardavan Saeedi, Vikash K. Mansinghka
2015 J jnl
CoRR
Karthik Narasimhan, Tejas D. Kulkarni, Regina Barzilay
2015 A* conf
EMNLP
Karthik Narasimhan, Tejas D. Kulkarni, Regina Barzilay
2015 conf
ACL (1)
Karthik Narasimhan, Regina Barzilay
2014 A* conf
EMNLP
Karthik Narasimhan, Damianos G. Karakos, Richard M. Schwartz, Stavros Tsakalidis, Regina Barzilay
1999 Misc conf
ICASSP
Karthik Narasimhan, José C. Príncipe, Donald G. Childers
tests/integration/test_js_extractors.py
← Index tests/integration/test_js_extractors.py python
"""
Integration tests for JavaScript-specific extractors.
"""
import sys
import types
from unittest.mock import MagicMock

# Mock the oscrypto/signify/certvalidator chain before any redb imports.
# oscrypto fails on environments with OpenSSL 3.x due to version detection.
# JS extractors don't use PE signatures so this is safe.
_MOCK_MODULES = [
    # oscrypto/signify chain (PE signature analysis)
    "oscrypto", "oscrypto.errors", "oscrypto._openssl",
    "oscrypto._openssl._libcrypto", "oscrypto._openssl._libcrypto_ctypes",
    "oscrypto._openssl.util", "oscrypto.util", "oscrypto.kdf",
    "oscrypto._asymmetric", "oscrypto.asymmetric",
    "certvalidator", "certvalidator.validate",
    "signify", "signify.fingerprinter", "signify.authenticode",
    "signify.authenticode.signed_pe", "signify.authenticode.authroot",
    "signify.pkcs7", "signify.pkcs7.signeddata", "signify.pkcs7.signerinfo",
    "signify.x509", "signify.x509.certificates", "signify.x509.context",
    # hashing libs used by HashExtractor
    "ppdeep", "tlsh",
    # binary format libs (not needed for JS)
    "dotnetfile", "lief",
    "flare_floss", "yara_x",
    "machofile",
]
for _mod in _MOCK_MODULES:
    if _mod not in sys.modules:
        try:
            __import__(_mod)
        except (ImportError, Exception):
            sys.modules[_mod] = MagicMock()

import pytest
from pathlib import Path
from unittest.mock import patch

pytestmark = [pytest.mark.integration, pytest.mark.js]

TEST_FILES_DIR = Path(__file__).parent.parent.parent / "test_files"

JS_MALICIOUS_PATH = str(TEST_FILES_DIR / "test_malicious.js")


@pytest.fixture
def js_malicious_path():
    path = TEST_FILES_DIR / "test_malicious.js"
    if not path.exists():
        pytest.skip(f"Test file not found: {path}")
    return str(path)


# ============================================================================
# JSFeaturesExtractor Tests
# ============================================================================

class TestJSFeaturesExtractor:

    def test_extract_valid_js(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor
        from redb.models.dataclasses import JSFeatures

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSFeaturesExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            assert result is not None
            assert isinstance(result, JSFeatures)

    def test_entropy_is_reasonable(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSFeaturesExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            assert result.text_entropy > 0.0
            assert result.text_entropy < 8.0

    def test_detects_obfuscation(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSFeaturesExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            # The fixture is dense `\xHH` hex escapes (>5% of source) plus
            # text entropy >5.0 — two strong signals, which clears the
            # strong-signal gate the heuristic now requires.
            assert result.is_likely_obfuscated is True
            assert result.obfuscation_score >= 40
            assert len(result.obfuscation_techniques) > 0
            # `obfuscator_name` is None when js-x-ray isn't installed in the
            # test environment, and a recognised family name when it is.
            assert result.obfuscator_name is None or isinstance(
                result.obfuscator_name, str
            )

    def test_detects_eval_usage(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSFeaturesExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            assert result.eval_count >= 1
            assert result.fromcharcode_count >= 1
            assert result.atob_count >= 1

    def test_detects_wscript_environment(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSFeaturesExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            assert result.detected_environment == "wscript"
            assert result.script_type == "wscript"

    def test_line_metrics(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSFeaturesExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            assert result.line_count > 0
            assert result.char_count > 0
            assert result.max_line_length > 0
            assert result.avg_line_length > 0

    def test_export_data_format(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSFeaturesExtractor(js_malicious_path, mock_logger)
            extractor.extract()
            export = extractor.prepare_export_data('ClickHouseExporter')

            assert export is not None
            data, col_names, col_types = export
            assert len(col_names) == len(col_types)
            assert len(data) == 1
            assert len(data[0]) == len(col_names)

    def test_clickhouse_table_name(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSFeaturesExtractor(js_malicious_path, mock_logger)
            assert extractor.get_clickhouse_table() == "redb_js_features"

    def test_empty_file_returns_none(self, tmp_path, mock_logger):
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor

        empty_js = tmp_path / "empty.js"
        empty_js.write_text("")

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSFeaturesExtractor(str(empty_js), mock_logger)
            result = extractor.extract()
            assert result is None

    def test_pattern_counts_are_case_insensitive(self, tmp_path, mock_logger):
        """eval_count / atob_count come from js_patterns.PATTERNS, which are
        compiled with re.IGNORECASE. Capitalised forms must still be counted."""
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor

        mixed_case_js = tmp_path / "mixed.js"
        mixed_case_js.write_text(
            'EVAL("1+1");\n'
            'eval("2+2");\n'
            'ATOB("YWJj");\n'
        )

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSFeaturesExtractor(str(mixed_case_js), mock_logger)
            result = extractor.extract()
            assert result is not None
            # Both `EVAL(` and `eval(` should be counted.
            assert result.eval_count == 2
            assert result.atob_count == 1

    # ----- script_type / detected_environment classification ----------------
    # First-match-wins; ordering is what makes the HTA-vs-WScript split work,
    # so we pin one positive case per value and one orthogonality case.

    @pytest.mark.parametrize("source,expected_type", [
        ("#@~^abcdef==^#~@", "jse"),
        ("<?xml version='1.0'?>\n<job><script language='JScript'>x=1;</script></job>", "wsf"),
        ("<html><head><hta:application id='x'/></head><script>x=1</script></html>", "hta"),
        ("<html><body><script>alert(1)</script></body></html>", "embedded_html"),
        ("var s = new ActiveXObject('WScript.Shell');", "wscript"),
        ("import {foo} from 'bar';\nexport const x = 1;", "esm"),
        ("import 'side-effect.js';\nconst x = 1;", "esm"),
        ("const fs = require('fs');\nmodule.exports = {};", "node_module"),
        ("function add(a, b) { return a + b; }", "standalone"),
    ])
    def test_script_type_classification(self, tmp_path, mock_logger, source, expected_type):
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor

        js_file = tmp_path / "sample.js"
        js_file.write_text(source)
        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSFeaturesExtractor(str(js_file), mock_logger, source=source)
            result = extractor.extract()
            assert result is not None
            assert result.script_type == expected_type

    @pytest.mark.parametrize("source,expected_env", [
        ("var s = new ActiveXObject('WScript.Shell');", "wscript"),
        ("chrome.runtime.onMessage.addListener(()=>{}); chrome.tabs.query({});", "browser_extension"),
        ("self.addEventListener('fetch', e => e.respondWith(caches.match(e.request)));", "service_worker"),
        ("const text = await Deno.readTextFile('a.txt');", "deno"),
        ("const fs = require('fs'); process.env.X;", "node"),
        ("document.getElementById('x'); window.location;", "browser"),
        ("function add(a, b) { return a + b; }", "unknown"),
    ])
    def test_environment_classification(self, tmp_path, mock_logger, source, expected_env):
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor

        js_file = tmp_path / "sample.js"
        js_file.write_text(source)
        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSFeaturesExtractor(str(js_file), mock_logger, source=source)
            result = extractor.extract()
            assert result is not None
            assert result.detected_environment == expected_env

    def test_hta_with_wscript_keeps_format_and_runtime_orthogonal(self, tmp_path, mock_logger):
        """HTA droppers commonly call WScript APIs. script_type captures the
        file format (`hta`) and detected_environment captures the runtime
        surface (`wscript`); both axes must survive a single sample."""
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor

        source = (
            "<html><head><hta:application id='x'/></head>"
            "<script>new ActiveXObject('WScript.Shell').Run('cmd.exe');</script></html>"
        )
        js_file = tmp_path / "sample.hta"
        js_file.write_text(source)
        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSFeaturesExtractor(str(js_file), mock_logger, source=source)
            result = extractor.extract()
            assert result.script_type == "hta"
            assert result.detected_environment == "wscript"

    def test_bare_exports_property_is_not_node_module(self, tmp_path, mock_logger):
        """Regression: `module.exports` and `require(` mark a CommonJS module,
        but a bare `exports.` substring (e.g. `obj.exports.foo`) should not."""
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor

        source = "var x = obj.exports.foo;\nfunction f() { return 1; }\n"
        js_file = tmp_path / "sample.js"
        js_file.write_text(source)
        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSFeaturesExtractor(str(js_file), mock_logger, source=source)
            result = extractor.extract()
            assert result.script_type == "standalone"


# ============================================================================
# JSSuspiciousAPIsExtractor Tests
# ============================================================================

class TestJSSuspiciousAPIsExtractor:

    def test_extract_finds_apis(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_suspicious_apis import JSSuspiciousAPIsExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSSuspiciousAPIsExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            assert result is not None
            assert len(result) > 0

    def test_detects_eval(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_suspicious_apis import JSSuspiciousAPIsExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSSuspiciousAPIsExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            api_names = [f['api_name'] for f in result]
            assert "eval" in api_names

    def test_detects_wscript_apis(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_suspicious_apis import JSSuspiciousAPIsExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSSuspiciousAPIsExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            api_names = [f['api_name'] for f in result]
            assert "WScript.CreateObject" in api_names
            assert "WScript.Shell" in api_names

    def test_detects_network_apis(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_suspicious_apis import JSSuspiciousAPIsExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSSuspiciousAPIsExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            api_names = [f['api_name'] for f in result]
            assert "XMLHttpRequest" in api_names
            assert "fetch" in api_names

    def test_detects_registry_access(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_suspicious_apis import JSSuspiciousAPIsExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSSuspiciousAPIsExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            api_names = [f['api_name'] for f in result]
            assert "RegWrite" in api_names

    def test_categories_are_valid(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_suspicious_apis import JSSuspiciousAPIsExtractor, SUSPICIOUS_APIS

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSSuspiciousAPIsExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            valid_categories = set(SUSPICIOUS_APIS.keys())
            for finding in result:
                assert finding['api_category'] in valid_categories
                assert finding['call_count'] > 0
                assert len(finding['line_numbers']) > 0

    def test_export_data_format(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_suspicious_apis import JSSuspiciousAPIsExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSSuspiciousAPIsExtractor(js_malicious_path, mock_logger)
            extractor.extract()
            export = extractor.prepare_export_data('ClickHouseExporter')

            assert export is not None
            data, col_names, col_types = export
            assert len(col_names) == len(col_types)
            assert len(data) > 0
            assert len(data[0]) == len(col_names)

    def test_clickhouse_table_name(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_suspicious_apis import JSSuspiciousAPIsExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSSuspiciousAPIsExtractor(js_malicious_path, mock_logger)
            assert extractor.get_clickhouse_table() == "redb_js_suspicious_apis"

    def test_benign_js_has_no_findings(self, tmp_path, mock_logger):
        from redb.extractors.js_extractors.js_suspicious_apis import JSSuspiciousAPIsExtractor

        benign_js = tmp_path / "benign.js"
        benign_js.write_text("function add(a, b) { return a + b; }\nconsole.log(add(1, 2));")

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSSuspiciousAPIsExtractor(str(benign_js), mock_logger)
            result = extractor.extract()
            assert result is None

    def test_pattern_match_is_case_insensitive(self, tmp_path, mock_logger):
        """Patterns in js_patterns.PATTERNS are compiled with re.IGNORECASE.
        A capitalised `EVAL(` is not actually valid JS at runtime but obfuscated
        droppers occasionally use stringly-built names; verifying the match
        survives capitalisation guards against an accidental flag regression.
        """
        from redb.extractors.js_extractors.js_suspicious_apis import JSSuspiciousAPIsExtractor

        upper_js = tmp_path / "upper.js"
        upper_js.write_text('var x = EVAL("1+1");\nFETCH("http://evil.test");')

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSSuspiciousAPIsExtractor(str(upper_js), mock_logger)
            result = extractor.extract()
            assert result is not None
            api_names = {f['api_name'] for f in result}
            assert "eval" in api_names
            assert "fetch" in api_names


# ============================================================================
# JSStringsExtractor Tests
# ============================================================================

class TestJSStringsExtractor:

    def test_extract_finds_strings(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_strings import JSStringsExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSStringsExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            assert result is not None
            assert len(result) > 0

    def test_decodes_hex_strings(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_strings import JSStringsExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSStringsExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            hex_decoded = [s for s in result if s['string_encoding'] == 'hex']
            assert len(hex_decoded) > 0

    def test_decodes_charcode(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_strings import JSStringsExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSStringsExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            charcode_decoded = [s for s in result if s['string_encoding'] == 'charcode']
            assert len(charcode_decoded) > 0
            assert any('powershell' in s['string'] for s in charcode_decoded)

    def test_decodes_base64(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_strings import JSStringsExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSStringsExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            b64_decoded = [s for s in result if s['string_encoding'] == 'base64']
            assert len(b64_decoded) > 0

    def test_reconstructs_concatenated_strings(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_strings import JSStringsExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSStringsExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            concat = [s for s in result if s['string_encoding'] == 'concat']
            assert len(concat) > 0

    def test_strings_have_standard_fields(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_strings import JSStringsExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSStringsExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            for s in result:
                assert s['string_entropy'] >= 0
                assert s['string_length'] > 0
                assert s['string_raw_length'] > 0
                assert s['string_offset'] > 0
                assert len(s['string']) > 0
                assert len(s['string_raw']) > 0

    def test_export_data_format(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_strings import JSStringsExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSStringsExtractor(js_malicious_path, mock_logger)
            extractor.extract()
            export = extractor.prepare_export_data('ClickHouseExporter')

            assert export is not None
            data, col_names, col_types = export
            assert len(col_names) == len(col_types)
            assert len(data) > 0
            assert len(data[0]) == len(col_names)

    def test_writes_to_shared_strings_table(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_strings import JSStringsExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSStringsExtractor(str(js_malicious_path), mock_logger)
            assert extractor.get_clickhouse_table() == "code_binja_strings_raw"

    def test_line_numbers_correct_in_multiline_source(self, tmp_path, mock_logger):
        """Pin the bisect-based _find_line_number against a multi-line source.

        Builds a JS file where each encoded literal sits on a known line, then
        verifies the `string_offset` (1-indexed line number) the extractor
        emits matches the planted line. Regression guard for the swap from the
        historical O(N) `source[:start].count("\\n")` to O(log L) bisect.
        """
        from redb.extractors.js_extractors.js_strings import JSStringsExtractor

        # 800 filler lines, then a known hex-escape literal on line 801
        # (1-indexed), then 100 more filler, then a charcode call on line 902.
        prefix = "\n".join([f"function f{i}() {{ return {i}; }}" for i in range(800)])
        line_801 = 'var h = "\\x68\\x74\\x74\\x70\\x73\\x3a\\x2f\\x2f"'
        middle = "\n".join([f"var v{i} = {i};" for i in range(100)])
        line_902 = 'var c = String.fromCharCode(112, 111, 119, 101, 114)'
        source = "\n".join([prefix, line_801, middle, line_902]) + "\n"

        js_path = tmp_path / "multiline.js"
        js_path.write_text(source)

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSStringsExtractor(str(js_path), mock_logger)
            result = extractor.extract()

            assert result is not None
            by_encoding = {}
            for f in result:
                by_encoding.setdefault(f['string_encoding'], []).append(f)

            assert any(f['string_offset'] == 801 for f in by_encoding.get('hex', [])), (
                f"hex literal should be reported on line 801; got "
                f"{[f['string_offset'] for f in by_encoding.get('hex', [])]}"
            )
            assert any(f['string_offset'] == 902 for f in by_encoding.get('charcode', [])), (
                f"charcode call should be reported on line 902; got "
                f"{[f['string_offset'] for f in by_encoding.get('charcode', [])]}"
            )

    def test_publishes_findings_to_context(self, js_malicious_path, mock_logger):
        """JSStringsExtractor must mirror its findings onto JSContext.decoded_strings
        so post-loop consumers (the IOC plumbing in workers.py) can read the
        decoded strings without holding a reference to this extractor."""
        from redb.extractors.js_extractors.js_strings import JSStringsExtractor
        from redb.extractors.js_extractors.js_context import JSContext

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            ctx = JSContext.from_path(js_malicious_path, log=mock_logger)
            assert ctx.decoded_strings is None  # not populated until extract runs

            extractor = JSStringsExtractor(js_malicious_path, mock_logger, context=ctx)
            findings = extractor.extract()

            assert ctx.decoded_strings is findings, (
                "ctx.decoded_strings should reference the same list returned "
                "by extract(), not a copy"
            )


# ============================================================================
# JSDeobfuscationExtractor Tests
# ============================================================================

class TestJSDeobfuscationExtractor:

    def test_extract_with_jsbeautifier_fallback(self, js_malicious_path, mock_logger):
        """Should fall back to jsbeautifier when webcrack is not installed."""
        from redb.extractors.js_extractors.js_deobfuscation import JSDeobfuscationExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSDeobfuscationExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            if result is not None:
                assert result['deobfuscator_used'] is not None
                assert result['deobfuscation_successful'] is True
                assert result['original_size'] > 0
                assert result['deobfuscated_size'] > 0
                assert len(result['deobfuscated_sha256']) == 64

    def test_export_data_format(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_deobfuscation import JSDeobfuscationExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSDeobfuscationExtractor(js_malicious_path, mock_logger)
            result = extractor.extract()

            if result is not None:
                export = extractor.prepare_export_data('ClickHouseExporter')
                assert export is not None
                data, col_names, col_types = export
                assert len(col_names) == len(col_types)
                assert len(data[0]) == len(col_names)

    def test_clickhouse_table_name(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_deobfuscation import JSDeobfuscationExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSDeobfuscationExtractor(js_malicious_path, mock_logger)
            assert extractor.get_clickhouse_table() == "redb_js_deobfuscation"

    def test_runs_deobfuscator_without_separate_probe(self, js_malicious_path, mock_logger):
        """The deobfuscator binary is invoked directly — no separate
        `--help` probe per sample. When the binary is missing, the
        FileNotFoundError is swallowed silently (no error log) and the
        extractor falls through to jsbeautifier.
        """
        from redb.extractors.js_extractors import js_deobfuscator as deob_helper
        from redb.extractors.js_extractors.js_deobfuscation import (
            JSDeobfuscationExtractor,
        )

        # _check_tool_available must be gone entirely.
        assert not hasattr(JSDeobfuscationExtractor, "_check_tool_available")

        popen_calls = []

        def fake_popen(*args, **kwargs):
            popen_calls.append(args[0] if args else kwargs.get("args"))
            raise FileNotFoundError(2, "No such file or directory", "fake-deobfuscator")

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'), \
                patch.object(deob_helper.subprocess, 'Popen', fake_popen):
            extractor = JSDeobfuscationExtractor(js_malicious_path, mock_logger)
            extractor.extract()

        # Exactly one Popen attempt — the actual run. No extra probe call.
        assert len(popen_calls) == 1, (
            f"expected one Popen call (the deobfuscator run), got "
            f"{len(popen_calls)}: {popen_calls}"
        )
        # FileNotFoundError must not have been logged at error level.
        for call in mock_logger.error.call_args_list:
            joined = " ".join(str(a) for a in call.args)
            assert "not found" not in joined.lower(), (
                f"missing-binary case must not log at error level; got {call}"
            )


# ============================================================================
# JSContentExtractor Tests
# ============================================================================

class TestJSContentExtractor:
    """JSContentExtractor persists raw + normalised text into code_text_content."""

    def test_extract_populates_both_columns(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_content import JSContentExtractor
        from redb.extractors.js_extractors.js_context import JSContext

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            ctx = JSContext.from_path(js_malicious_path, log=mock_logger)
            extractor = JSContentExtractor(js_malicious_path, mock_logger, context=ctx)
            result = extractor.extract()

            assert result is not None
            assert result['content_type'] == 'javascript'
            assert result['text_raw']
            # jsbeautifier should normalise even non-obfuscated input, so
            # against the bundled test sample we expect a normalised text.
            assert result['text_normalized'] is not None
            assert result['normalizer_used'] is not None

    def test_normalized_is_null_when_deobfuscator_returns_nothing(
        self, js_malicious_path, mock_logger
    ):
        """When neither webcrack nor jsbeautifier produces output the
        normalized columns must be NULL — distinguishes failure from a
        legitimate empty result."""
        from redb.extractors.js_extractors.js_content import JSContentExtractor
        from redb.extractors.js_extractors.js_context import JSContext
        from redb.extractors.js_extractors import js_deobfuscator as deob_helper

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'), \
                patch.object(deob_helper, 'deobfuscate', lambda src, log: (None, None)):
            ctx = JSContext.from_path(js_malicious_path, log=mock_logger)
            extractor = JSContentExtractor(js_malicious_path, mock_logger, context=ctx)
            result = extractor.extract()

            assert result is not None
            assert result['text_raw']
            assert result['text_normalized'] is None
            assert result['normalizer_used'] is None

    def test_does_not_run_its_own_deobfuscation(self, js_malicious_path, mock_logger):
        """JSContentExtractor reads from JSContext.deobfuscated, which is a
        cached_property. Two extractors sharing one context must trigger
        deobfuscation at most once across both extracts."""
        from redb.extractors.js_extractors.js_content import JSContentExtractor
        from redb.extractors.js_extractors.js_deobfuscation import (
            JSDeobfuscationExtractor,
        )
        from redb.extractors.js_extractors.js_context import JSContext
        from redb.extractors.js_extractors import js_deobfuscator as deob_helper

        calls = {"n": 0}

        def counting_deobfuscate(source, log):
            calls["n"] += 1
            return None, None

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'), \
                patch.object(deob_helper, 'deobfuscate', counting_deobfuscate):
            ctx = JSContext.from_path(js_malicious_path, log=mock_logger)
            JSDeobfuscationExtractor(js_malicious_path, mock_logger, context=ctx).extract()
            JSContentExtractor(js_malicious_path, mock_logger, context=ctx).extract()

            assert calls["n"] == 1, (
                f"deobfuscate() must be called once across both extractors "
                f"sharing a context, got {calls['n']}"
            )

    def test_export_data_format(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_content import JSContentExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSContentExtractor(js_malicious_path, mock_logger)
            extractor.extract()
            data, col_names, col_types = extractor.prepare_export_data(
                'ClickHouseExporter'
            )
            assert col_names == [
                'sha256', 'content_type', 'text_raw', 'text_normalized',
                'normalizer_used', 'analysis_date',
            ]
            assert len(col_names) == len(col_types) == len(data[0])
            assert data[0][1] == 'javascript'

    def test_clickhouse_table_name(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_content import JSContentExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            extractor = JSContentExtractor(js_malicious_path, mock_logger)
            assert extractor.get_clickhouse_table() == 'code_text_content'


# ============================================================================
# Source Sharing Tests
# ============================================================================

class TestSourceSharing:
    """Test that source text can be shared across extractors."""

    def test_shared_source_produces_same_results(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            with open(js_malicious_path, 'r') as f:
                source = f.read()

            ext_shared = JSFeaturesExtractor(js_malicious_path, mock_logger, source=source)
            ext_fresh = JSFeaturesExtractor(js_malicious_path, mock_logger)

            r_shared = ext_shared.extract()
            r_fresh = ext_fresh.extract()

            assert r_shared.text_entropy == r_fresh.text_entropy
            assert r_shared.eval_count == r_fresh.eval_count
            assert r_shared.obfuscation_score == r_fresh.obfuscation_score


# ============================================================================
# JSContext Sharing Tests
# ============================================================================

class TestJSContextSharing:
    """Verify the shared JSContext threads through every extractor cleanly:
    same outputs as independent runs, expensive work computed exactly once."""

    def test_shared_context_produces_same_results(self, js_malicious_path, mock_logger):
        from redb.extractors.js_extractors.js_context import JSContext
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor
        from redb.extractors.js_extractors.js_suspicious_apis import (
            JSSuspiciousAPIsExtractor,
        )

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            ctx = JSContext.from_path(js_malicious_path, log=mock_logger)

            shared_features = JSFeaturesExtractor(
                js_malicious_path, mock_logger, context=ctx
            ).extract()
            shared_apis = JSSuspiciousAPIsExtractor(
                js_malicious_path, mock_logger, context=ctx
            ).extract()

            fresh_features = JSFeaturesExtractor(
                js_malicious_path, mock_logger
            ).extract()
            fresh_apis = JSSuspiciousAPIsExtractor(
                js_malicious_path, mock_logger
            ).extract()

            # Features dataclass must compare equal across paths.
            assert shared_features == fresh_features
            # Suspicious-API findings: same set of api_name/category pairs.
            shared_pairs = {(f['api_name'], f['api_category']) for f in shared_apis}
            fresh_pairs = {(f['api_name'], f['api_category']) for f in fresh_apis}
            assert shared_pairs == fresh_pairs

    def test_context_scan_is_computed_once(self, js_malicious_path, mock_logger):
        """Two extractors sharing one JSContext must each trigger their backing
        scan at most once.

        The context exposes two cached scan results: `scan` (raw source) and
        `scan_deobfuscated` (deobfuscated text, populated only by the dual-pass
        consumers in JSSuspiciousAPIsExtractor / JSDeobfuscationExtractor).
        Both are cached_property — repeating the access from a second extractor
        must not re-run scan_source. Whether the deobfuscated scan happens at
        all depends on the deobfuscator producing a different text for this
        sample; we accept either outcome and only fail if the per-cache
        single-run invariant is broken.
        """
        from redb.extractors.js_extractors import js_context as js_ctx_module
        from redb.extractors.js_extractors.js_context import JSContext
        from redb.extractors.js_extractors.js_features import JSFeaturesExtractor
        from redb.extractors.js_extractors.js_suspicious_apis import (
            JSSuspiciousAPIsExtractor,
        )

        real_scan = js_ctx_module.scan_source
        call_count = {"n": 0}

        def counting_scan(*args, **kwargs):
            call_count["n"] += 1
            return real_scan(*args, **kwargs)

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'), \
                patch.object(js_ctx_module, 'scan_source', counting_scan):
            ctx = JSContext.from_path(js_malicious_path, log=mock_logger)

            JSFeaturesExtractor(
                js_malicious_path, mock_logger, context=ctx
            ).extract()
            JSSuspiciousAPIsExtractor(
                js_malicious_path, mock_logger, context=ctx
            ).extract()
            after_first_pair = call_count["n"]

            # The raw scan and (optionally) the deobfuscated scan are the only
            # two scan_source calls allowed for this sample.
            assert 1 <= after_first_pair <= 2, (
                f"scan_source must run at most twice (raw + deobf) when context "
                f"is shared, got {after_first_pair}"
            )

            # Re-running the same extractors must not re-trigger any scan: both
            # cached_property results are pinned by the first access.
            JSFeaturesExtractor(
                js_malicious_path, mock_logger, context=ctx
            ).extract()
            JSSuspiciousAPIsExtractor(
                js_malicious_path, mock_logger, context=ctx
            ).extract()

            assert call_count["n"] == after_first_pair, (
                f"cached scans re-ran across extractor instances: "
                f"{after_first_pair} -> {call_count['n']}"
            )

    def test_context_deobfuscation_runs_once(self, js_malicious_path, mock_logger):
        """Multiple consumers reading JSContext.deobfuscated must trigger the
        external deobfuscator at most once. cached_property guarantees this;
        the test pins the contract so a future regression fails loudly."""
        from redb.extractors.js_extractors import js_context as js_ctx_module
        from redb.extractors.js_extractors.js_context import JSContext

        deob_calls = {"n": 0}
        real_helper = None

        def counting_deobfuscate(source, log):
            deob_calls["n"] += 1
            return None, None  # cheap stub: no need to actually run webcrack

        # Patch the import that JSContext.deobfuscated does lazily inside the
        # cached_property. We monkeypatch the helper module directly.
        from redb.extractors.js_extractors import js_deobfuscator as deob_helper

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'), \
                patch.object(deob_helper, 'deobfuscate', counting_deobfuscate):
            ctx = JSContext.from_path(js_malicious_path, log=mock_logger)
            _ = ctx.deobfuscated
            _ = ctx.deobfuscated  # second access must hit the cache
            _ = ctx.deobfuscated  # third access too

            assert deob_calls["n"] == 1, (
                f"deobfuscate() must be called once per context, got "
                f"{deob_calls['n']}"
            )

    def test_context_ast_parsed_once(self, js_malicious_path, mock_logger):
        """Repeated access to JSContext.ast must invoke pyjsparser.parse at
        most once. cached_property guarantees this; the test pins the
        contract so a future regression (e.g. dropping cached_property)
        fails loudly."""
        from redb.extractors.js_extractors.js_context import JSContext

        try:
            import pyjsparser  # noqa: F401
        except ImportError:
            pytest.skip("pyjsparser not installed")

        parse_calls = {"n": 0}
        real_parse = pyjsparser.parse

        def counting_parse(source):
            parse_calls["n"] += 1
            return real_parse(source)

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'), \
                patch.object(pyjsparser, 'parse', counting_parse):
            ctx = JSContext.from_path(js_malicious_path, log=mock_logger)
            _ = ctx.ast
            _ = ctx.ast  # second access: must hit the cache
            _ = ctx.ast  # third access: still cached

            # parse may legitimately be 0 if the source can't be parsed and
            # the exception was swallowed; otherwise it must be exactly 1.
            assert parse_calls["n"] <= 1, (
                f"pyjsparser.parse called {parse_calls['n']} times for one "
                "context — cached_property must hold the parsed AST"
            )


# ============================================================================
# JS IOC Surface Tests (end-to-end)
# ============================================================================

class TestJSIOCSurfaces:
    """workers.py-style assembly of analysis_results: text_raw, text_normalized,
    and decoded strings. End-to-end through IOCExtractorFromResults."""

    def _build_analysis_results(self, ctx, raw_source, sha256):
        """Mirror the dict workers.py builds in the JS IOC block. Kept in a
        helper so the test exercises the same shape the production code uses
        without dragging the full workers.py dispatch into the test harness."""
        import hashlib

        text_raw_entries = [{"content": raw_source, "content_hash": sha256}]
        text_normalized_entries = []
        deobf_text, _ = ctx.deobfuscated
        if deobf_text and deobf_text != raw_source:
            text_normalized_entries.append({
                "content": deobf_text,
                "content_hash": hashlib.sha256(
                    deobf_text.encode("utf-8")
                ).hexdigest(),
            })
        decoded_strings = ctx.decoded_strings or []
        strings_entries = [
            {
                "string": s.get("string", ""),
                "string_offset": s.get("string_offset", 0),
            }
            for s in decoded_strings
        ]
        return {
            "strings": strings_entries,
            "text_raw": text_raw_entries,
            "text_normalized": text_normalized_entries,
        }

    def test_decoded_string_url_lands_via_strings_surface(self, tmp_path, mock_logger):
        """A URL hidden inside a String.fromCharCode(...) call is decoded by
        JSStringsExtractor into a plaintext string; running IOC extraction
        over the decoded `strings` surface picks it up with source_type=string.
        Without the broadened plumbing the URL would be invisible to IOC
        extraction (regex doesn't see it through the charcode encoding in
        the raw source)."""
        from redb.extractors.ioc_extractor.ioc_extractor import IOCExtractorFromResults
        from redb.extractors.ioc_extractor.standalone_ioc_extractor import (
            IOCType, SourceType,
        )
        from redb.extractors.js_extractors.js_context import JSContext
        from redb.extractors.js_extractors.js_strings import JSStringsExtractor

        # String.fromCharCode of "http://hidden.example.com" (25 chars, codes
        # built inline below).
        url = "http://hidden.example.com"
        codes = ", ".join(str(ord(c)) for c in url)
        source = (
            'var benign = "harmless string here";\n'
            f'var u = String.fromCharCode({codes});\n'
        )
        sample_path = tmp_path / "charcode.js"
        sample_path.write_text(source)

        sha256 = "b" * 64

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            ctx = JSContext.from_path(str(sample_path), log=mock_logger)
            JSStringsExtractor(str(sample_path), mock_logger, context=ctx).extract()

            analysis_results = self._build_analysis_results(ctx, ctx.source, sha256)
            iocs = IOCExtractorFromResults(
                analysis_results=analysis_results,
                sha256=sha256,
                log=mock_logger,
            ).extract()

            url_iocs = [i for i in iocs if i.ioc_type == IOCType.URL]
            assert any(
                "hidden.example.com" in i.ioc_value
                and i.source_type == SourceType.STRING
                for i in url_iocs
            ), (
                f"charcode-decoded URL must be picked up via the strings "
                f"surface; got {[(i.ioc_value, i.source_type) for i in url_iocs]}"
            )

    def test_raw_url_lands_via_text_raw(self, tmp_path, mock_logger):
        """A plain URL in the raw source lands with source_type=text_raw, the
        new universal surface (was source_type=decompiled_function before #C)."""
        from redb.extractors.ioc_extractor.ioc_extractor import IOCExtractorFromResults
        from redb.extractors.ioc_extractor.standalone_ioc_extractor import (
            IOCType, SourceType,
        )
        from redb.extractors.js_extractors.js_context import JSContext

        source = 'fetch("https://plain.example.com/c2");\n'
        sample_path = tmp_path / "plain.js"
        sample_path.write_text(source)
        sha256 = "c" * 64

        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'):
            ctx = JSContext.from_path(str(sample_path), log=mock_logger)
            analysis_results = self._build_analysis_results(ctx, ctx.source, sha256)
            iocs = IOCExtractorFromResults(
                analysis_results=analysis_results,
                sha256=sha256,
                log=mock_logger,
            ).extract()

            url_iocs = [i for i in iocs if i.ioc_type == IOCType.URL]
            assert any(
                "plain.example.com" in i.ioc_value
                and i.source_type == SourceType.TEXT_RAW
                for i in url_iocs
            )

    def test_no_text_normalized_entry_when_deobf_equals_raw(self, tmp_path, mock_logger):
        """If the deobfuscator returns text byte-identical to the raw source
        (or returns nothing), the analysis_results dict must not add a
        text_normalized entry — avoids double-scraping the same content."""
        from redb.extractors.js_extractors.js_context import JSContext
        from redb.extractors.js_extractors import js_deobfuscator as deob_helper

        source = 'fetch("https://noop.example.com/");\n'
        sample_path = tmp_path / "noop.js"
        sample_path.write_text(source)
        sha256 = "d" * 64

        # Force the deobfuscator to return identical text — exercises the
        # equality check in workers.py / _build_analysis_results.
        with patch('redb.settings.ELASTIC_BINARIES_COLLECTION', 'test'), \
                patch.object(deob_helper, 'deobfuscate',
                             lambda src, log: (src, "stub")):
            ctx = JSContext.from_path(str(sample_path), log=mock_logger)
            analysis_results = self._build_analysis_results(ctx, ctx.source, sha256)

            assert analysis_results["text_normalized"] == [], (
                "text_normalized must be empty when deobfuscation produced "
                "byte-identical output"
            )