Rameshwar Pratap

63 papers A* 2A 3B 4C 7Misc 2Journal 37Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Keegan Kang, Kerong Wang, Ding Zhang, Rameshwar Pratap, Bhisham Dev Verma, Benedict H. W. Wong
2025 J jnl
CoRR
Bhisham Dev Verma, Rameshwar Pratap
2025 J jnl
Theor. Comput. Sci.
Bhisham Dev Verma, Rameshwar Pratap
2025 J jnl
Acta Informatica
Bhisham Dev Verma, Rameshwar Pratap
2025 J jnl
Inf. Process. Lett.
Bhisham Dev Verma, Punit Pankaj Dubey, Rameshwar Pratap, Manoj Thakur
2025 B conf
GLOBECOM
Gopal Chamarthi, Adarsh Patel, Rameshwar Pratap
2025 J jnl
CoRR
Bhisham Dev Verma, Rameshwar Pratap, Keegan Kang
2024 J jnl
CoRR
Bhisham Dev Verma, Rameshwar Pratap
2024 J jnl
Inf. Process. Lett.
Bhisham Dev Verma, Rameshwar Pratap, Punit Pankaj Dubey
2024 J jnl
Inf. Process. Lett.
Bhisham Dev Verma, Rameshwar Pratap, Manoj Thakur
2023 J jnl
IEEE Trans. Knowl. Data Eng.
Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma
2023 J jnl
CoRR
Amit Deshpande, Rameshwar Pratap
2023 B conf
SISAP
Rameshwar Pratap, Raghav Kulkarni
2023 J jnl
CoRR
Rameshwar Pratap, Raghav Kulkarni
2023 J jnl
Comput.
Eric Allender, Nikhil Balaji, Samir Datta, Rameshwar Pratap
2023 J jnl
Algorithmica
Amit Deshpande, Rameshwar Pratap
2023 J jnl
IEEE Trans. Knowl. Data Eng.
Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma, Biswadeep Sen, Tanmoy Chakraborty
2023 conf
SPAWC
Gopal Chamarthi, Adarsh Patel, Rameshwar Pratap
2023 conf
ANTS
Gopal Chamarthi, Adarsh Patel, Rameshwar Pratap
2022 J jnl
Data Min. Knowl. Discov.
Bhisham Dev Verma, Rameshwar Pratap, Debajyoti Bera
2022 J jnl
CoRR
Rameshwar Pratap, Bhisham Dev Verma, Raghav Kulkarni
2022 A conf
UAI
Punit Pankaj Dubey, Bhisham Dev Verma, Rameshwar Pratap, Keegan Kang
2022 J jnl
Electron. Colloquium Comput. Complex.
Eric Allender, Nikhil Balaji, Samir Datta, Rameshwar Pratap
2022 A* conf
ICALP
Amit Deshpande, Rameshwar Pratap
2022 J jnl
CoRR
Amit Deshpande, Rameshwar Pratap
2022 J jnl
Mach. Learn.
Bhisham Dev Verma, Rameshwar Pratap, Manoj Thakur
2021 J jnl
CoRR
Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma
2021 J jnl
CoRR
Bhisham Dev Verma, Rameshwar Pratap, Debajyoti Bera
2021 conf
IEEE BigData
Rameshwar Pratap, Suryakant Bhardwaj, Hrushikesh Sudam Sarode, Raghav Kulkarni
2021 conf
ACDA
Rameshwar Pratap, Bhisham Dev Verma, Raghav Kulkarni
2021 C conf
ACML
Keegan Kang, Sergey Kushnarev, Wong Wei Pin, Rameshwar Pratap, Haikal Yeo, Yijia Chen
2021 J jnl
CoRR
Amit Deshpande, Rameshwar Pratap
2021 J jnl
CoRR
Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma, Biswadeep Sen, Tanmoy Chakraborty
2021 J jnl
Theor. Comput. Sci.
Amit Deshpande, Rameshwar Pratap
2021 A conf
UAI
Rameshwar Pratap, Raghav Kulkarni
2020 conf
BigMM
Rameshwar Pratap, Karthik Revanuru, Anirudh Ravi, Raghav Kulkarni
2020 B conf
IJCB
Avantika Singh, Pratyush Gaurav, Chirag Vashist, Aditya Nigam, Rameshwar Pratap
2020 J jnl
CoRR
Avantika Singh, Chirag Vashist, Pratyush Gaurav, Aditya Nigam, Rameshwar Pratap
2020 C conf
ACML
Rameshwar Pratap, Karthik Revanuru, Anirudh Ravi, Raghav Kulkarni
2020 A conf
UAI
Amit Deshpande, Praneeth Kacham, Rameshwar Pratap
2020 C conf
ACML
Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Anirudh Ravi
2020 Misc conf
COCOON
Amit Deshpande, Rameshwar Pratap
2020 J jnl
CoRR
Amit Deshpande, Rameshwar Pratap
2019 A* conf
ICDM
Rameshwar Pratap, Debajyoti Bera, Karthik Revanuru
2019 J jnl
CoRR
Rameshwar Pratap, Debajyoti Bera, Karthik Revanuru
2018 C conf
ACML
Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Tarun Dutt
2018 conf
PAKDD (3)
Rameshwar Pratap, Ishan Sohony, Raghav Kulkarni
2018 conf
IEEE BigData
Rameshwar Pratap, Raghav Kulkarni, Ishan Sohony
2018 conf
COMAD/CODS
Ishan Sohony, Rameshwar Pratap, Ullas Nambiar
2018 C conf
IWOCA
Rameshwar Pratap, Sandeep Sen
2018 J jnl
Int. J. Comput. Geom. Appl.
Sourav Chakraborty, Rameshwar Pratap, Sasanka Roy, Shubhangi Saraf
2017 J jnl
CoRR
Rameshwar Pratap, Ishan Sohony, Raghav Kulkarni
2016 J jnl
CoRR
Rameshwar Pratap, Sandeep Sen
2016 Misc conf
COCOON
Debajyoti Bera, Rameshwar Pratap
2016 J jnl
CoRR
Debajyoti Bera, Rameshwar Pratap
2016 J jnl
CoRR
Raghav Kulkarni, Rameshwar Pratap
2016 J jnl
Inf. Process. Lett.
Sourav Chakraborty, Akshay Kamath, Rameshwar Pratap
2014 B conf
LATIN
Sourav Chakraborty, Rameshwar Pratap, Sasanka Roy, Shubhangi Saraf
2013 J jnl
CoRR
Sourav Chakraborty, Rameshwar Pratap, Sasanka Roy, Shubhangi Saraf
2013 J jnl
CoRR
Sourav Chakraborty, Akshay Kamath, Rameshwar Pratap
2013 C conf
CTW
Sourav Chakraborty, Akshay Kamath, Rameshwar Pratap
2012 C conf
TAMC
Samir Datta, Rameshwar Pratap
2011 J jnl
CoRR
Samir Datta, Rameshwar Pratap
sql/redb_js_tables.sql
← Index sql/redb_js_tables.sql sql
-- JavaScript malware analysis tables
-- Engine: ReplacingMergeTree(analysis_date) — latest analysis wins on re-processing
--
-- File order:
--   1. redb_js_features
--   2. redb_js_suspicious_apis
--   3. redb_js_deobfuscation
--   4. code_text_content              (generic text-content table; JS today,
--                                      PowerShell / Python / email / extracted
--                                      PDF / Office text in the future)
--   5. redb_iocs source_type ALTER    (extends Enum8 with text_raw/text_normalized
--                                      so JS — and any future text-based pipeline —
--                                      can distinguish IOCs found in the raw vs
--                                      normalised surface)
--   6. redb_iocs ioc_type ALTER       (adds registry_key=42 so HKLM/HKCU/HKEY_*
--                                      keys are extracted alongside file paths)
--
-- Decoded strings from JS still go into the shared code_binja_strings_raw
-- table (same schema used by DecompileBinja and DecompileAPK). JS
-- string_encoding values: hex, unicode, charcode, base64, concat. Plain long
-- literals are not extracted here — they're already in code_text_content and
-- scraped by the IOC pipeline over text_raw/text_normalized.
-- string_offset is the line number in the source file.
--
-- redb_js_features.script_type values (file format / container, first match):
--   jse, wsf, hta, embedded_html, wscript, esm, node_module, standalone, unknown
-- redb_js_features.detected_environment values (runtime by API surface, first
-- match):
--   wscript, browser_extension, service_worker, deno, node, browser, unknown

-- 1. Core features & obfuscation metrics (1 row per sample)
CREATE TABLE IF NOT EXISTS redb_js_features (
    sha256 FixedString(64),
    line_count UInt32,
    char_count UInt64,
    text_entropy Float64,
    max_line_length UInt32,
    avg_line_length Float64,
    is_minified UInt8,
    is_likely_obfuscated UInt8,
    obfuscator_name LowCardinality(String),
    obfuscation_score UInt8,
    obfuscation_techniques Array(String),
    eval_count UInt32,
    function_constructor_count UInt32,
    settimeout_setinterval_count UInt32,
    document_write_count UInt32,
    innerhtml_count UInt32,
    unescape_count UInt32,
    fromcharcode_count UInt32,
    atob_count UInt32,
    decodeuri_count UInt32,
    total_function_count UInt32,
    total_variable_count UInt32,
    max_nesting_depth UInt16,
    avg_identifier_length Float64,
    hex_string_count UInt32,
    unicode_escape_count UInt32,
    long_string_count UInt32,
    base64_string_count UInt32,
    comment_ratio Float64,
    script_type LowCardinality(String),
    detected_environment LowCardinality(String),
    analysis_date DateTime64(3, 'UTC')
) ENGINE = ReplacingMergeTree(analysis_date)
ORDER BY sha256;

-- 2. Suspicious API calls (multi-row per sample)
--
-- `revealed_by_deobf` is 1 when the API only appears after the deobfuscation
-- pass (i.e. the call site is hidden in the raw artefact and surfaces only in
-- text_normalized). Useful for filtering "what did normalisation actually
-- buy us" without re-running the diff.
CREATE TABLE IF NOT EXISTS redb_js_suspicious_apis (
    sha256 FixedString(64),
    api_name String,
    api_category LowCardinality(String),
    call_count UInt32,
    line_numbers Array(UInt32),
    context_snippet String,
    revealed_by_deobf UInt8,
    analysis_date DateTime64(3, 'UTC')
) ENGINE = ReplacingMergeTree(analysis_date)
ORDER BY (sha256, api_name);

-- 3. Deobfuscation results (1 row per sample)
CREATE TABLE IF NOT EXISTS redb_js_deobfuscation (
    sha256 FixedString(64),
    deobfuscator_used LowCardinality(String),
    deobfuscation_successful UInt8,
    original_size UInt64,
    deobfuscated_size UInt64,
    size_change_ratio Float64,
    original_entropy Float64,
    deobfuscated_entropy Float64,
    new_strings_found UInt32,
    new_apis_found UInt32,
    deobfuscated_sha256 FixedString(64),
    analysis_date DateTime64(3, 'UTC')
) ENGINE = ReplacingMergeTree(analysis_date)
ORDER BY sha256;

-- 4. Generic text-content table for any text-based artefact (JS today;
--    PowerShell, Python, plain text, email bodies, extracted PDF/Office text
--    in the future). One row per sha256. content_type carries the magika
--    label so callers can filter without joining other tables.
CREATE TABLE IF NOT EXISTS code_text_content (
    sha256 FixedString(64),
    content_type LowCardinality(String),
    text_raw String CODEC(ZSTD(3)),
    text_normalized Nullable(String) CODEC(ZSTD(3)),
    normalizer_used Nullable(String),
    analysis_date DateTime64(3, 'UTC')
) ENGINE = ReplacingMergeTree(analysis_date)
ORDER BY sha256;

-- 5. Extend redb_iocs.source_type Enum8 with two universal text-content
--    surfaces: text_raw (the artefact's original text) and text_normalized
--    (a deobfuscated/canonicalised form). Used by the JS IOC extraction
--    pipeline today; any future text-based pipeline (PowerShell, PDF, etc.)
--    plugs into the same two values.
--
-- Existing rows keep their stored integer values; only newly-inserted rows
-- can use 4/5. The MODIFY COLUMN must list the full final enum, including
-- the existing values (1/2/3) — ClickHouse rejects partial alters.
ALTER TABLE redb_iocs
    MODIFY COLUMN source_type
    Enum8('decompiled_function'=1, 'disassembled_function'=2, 'string'=3,
          'text_raw'=4, 'text_normalized'=5);

-- 6. Extend redb_iocs.ioc_type Enum8 with registry_key=42. Windows registry
--    paths (HKLM\..., HKCU\..., HKEY_LOCAL_MACHINE\...) are a distinct class
--    of IOC from filesystem paths and were previously extracted by nothing.
--    Same MODIFY COLUMN constraint as the source_type alter — the full final
--    enum must be listed.
ALTER TABLE redb_iocs
    MODIFY COLUMN ioc_type
    Enum8('ipv4'=1, 'ipv6'=2, 'fqdn'=3, 'url'=4, 'email'=5, 'server'=6,
          'hash_md5'=10, 'hash_sha1'=11, 'hash_sha256'=12,
          'cve'=20, 'cwe'=21, 'cpe'=22,
          'crypto_btc'=30, 'crypto_eth'=31, 'crypto_xrp'=32, 'crypto_bch'=33,
          'crypto_ada'=34, 'crypto_substrate'=35,
          'path_linux'=40, 'path_windows'=41, 'registry_key'=42,
          'onion'=50);

-- 7. Migrate redb_js_features to the two-tier obfuscation verdict.
--    `is_obfuscated` (binary heuristic at score >=40) is renamed to
--    `is_likely_obfuscated` (heuristic at >=60 + ≥1 strong signal, OR
--    js-x-ray flagged the obfuscator family). `obfuscator_name` is the
--    family name reported by @nodesecure/js-x-ray (jsfuck, obfuscator.io,
--    morse, jjencode, freejsobfuscator, ...) or empty when not detected.
--
--    Run once against an existing deployment. The CREATE TABLE above
--    already reflects the post-migration shape, so fresh installs skip this.
ALTER TABLE redb_js_features
    RENAME COLUMN is_obfuscated TO is_likely_obfuscated;
ALTER TABLE redb_js_features
    ADD COLUMN IF NOT EXISTS obfuscator_name LowCardinality(String) AFTER is_likely_obfuscated;

-- 8. Harmonise code_text_content column names with redb_iocs.source_type
--    enum values. The enum already uses `text_raw` / `text_normalized` for
--    the surface labels; the table previously stored the same data under
--    `content_raw` / `content_normalized`, forcing every join across the two
--    to translate names. Renaming the columns produces a self-documenting
--    schema where `redb_iocs.source_type='text_raw'` points directly at
--    `code_text_content.text_raw`.
--
--    Run once against an existing deployment. The CREATE TABLE above
--    already reflects the post-migration shape, so fresh installs skip this.
ALTER TABLE code_text_content
    RENAME COLUMN content_raw TO text_raw;
ALTER TABLE code_text_content
    RENAME COLUMN content_normalized TO text_normalized;

-- 9. Add revealed_by_deobf flag to redb_js_suspicious_apis. The strings/APIs
--    extractors now scan both the raw source and the deobfuscated text so APIs
--    hidden behind one obfuscation layer (Vjw0rm-style array.join + eval,
--    Dean-Edwards packers, ...) surface in the table. The flag is 1 only when
--    the API was *not* found in the raw source — querying for it isolates
--    "deobf-only" findings without joining redb_js_deobfuscation.
--
--    Run once against an existing deployment. The CREATE TABLE above
--    already reflects the post-migration shape, so fresh installs skip this.
ALTER TABLE redb_js_suspicious_apis
    ADD COLUMN IF NOT EXISTS revealed_by_deobf UInt8 AFTER context_snippet;