Ralf Bierig

39 papers A* 2A 2B 5C 2Misc 1Journal 9Unranked 16
YearRankTypeTitle / Venue / Authors
2025 conf
CHI Greece
Linda Krueger, Charles Markham, Ralf Bierig
2024 B conf
VRST
Linda Krueger, Charles Markham, Ralf Bierig
2023 conf
MetroXRAINE
Guandong Li, Haoyuan Zheng, Yuhao Lu, Guohua Wu, Zhongheng Sun, Hongyi Lan, Natalie Culligan, Ralf Bierig, Joseph Timoney, Ting Bi
2022 conf
AICS
Awais Akbar, Simon Caton, Ralf Bierig
2021 J jnl
Found. Trends Inf. Retr.
Chang Liu, Ying-Hsang Liu, Jingjing Liu, Ralf Bierig
2020 B conf
QoMEX
Ralf Bierig, Damien Mac Namara
2020 B conf
QoMEX
Ralf Bierig, Linda Krueger
2020 conf
HCI (47)
Ying-Hsang Liu, Moritz Spiller, Jinshuai Ma, Tom Gedeon, Md. Zakir Hossain, Atiqul Islam, Ralf Bierig
2019 J jnl
Inf. Retr. J.
Ralf Bierig, Simon Caton
2018 J jnl
Int. J. Multim. Inf. Retr.
Serwah Sabetghadam, Mihai Lupu, Ralf Bierig, Andreas Rauber
2018 Misc conf
ICTIR
Ying-Hsang Liu, Chang Liu, Ralf Bierig
2017 J jnl
Trans. Comput. Collect. Intell.
Navid Rekabsaz, Ralf Bierig, Mihai Lupu, Allan Hanbury
2015 C conf
CBMI
Navid Rekabsaz, Ralf Bierig, Bogdan Ionescu, Allan Hanbury, Mihai Lupu
2015 A conf
ECIR
Serwah Sabetghadam, Mihai Lupu, Ralf Bierig, Andreas Rauber
2015 conf
International KEYSTONE Conference
Navid Rekabsaz, Ralf Bierig, Mihai Lupu, Allan Hanbury
2014 B conf
ICMR
Serwah Sabetghadam, Mihai Lupu, Ralf Bierig, Andreas Rauber
2014 C conf
DATA
Ralf Bierig, Allan Hanbury, Martina Haas, Florina Piroi, Helmut Berger, Mihai Lupu, Michael Dittenbach
2014 conf
CLEF
Serwah Sabetghadam, Ralf Bierig, Andreas Rauber
2014 conf
DATA (Revised Selected Papers)
Ralf Bierig, Allan Hanbury, Florina Piroi, Marita Haas, Helmut Berger, Mihai Lupu, Michael Dittenbach
2014 B conf
ICMR
Ralf Bierig, Cristina Serban, Alexandra Siriteanu, Mihai Lupu, Allan Hanbury
2014 conf
IIiX
Ying-Hsang Liu, Ralf Bierig
2011 J jnl
Interact. Comput.
Michael J. Cole, Jacek Gwizdka, Chang Liu, Ralf Bierig, Nicholas J. Belkin, Xiangmin Zhang
2010 A conf
ECIR
Ralf Bierig, Michael J. Cole, Jacek Gwizdka, Nicholas J. Belkin
2010 conf
ASIST
Michael J. Cole, Xiangmin Zhang, Jingjing Liu, Chang Liu, Nicholas J. Belkin, Ralf Bierig, Jacek Gwizdka
2010 J jnl
SIGIR Forum
Ralf Bierig
2010 conf
IIiX
Jingjing Liu, Chang Liu, Jun Zhang, Ralf Bierig, Michael J. Cole
2010 J jnl
Inf. Retr.
Ralf Bierig
2010 conf
ECCE
Michael J. Cole, Jacek Gwizdka, Ralf Bierig, Nicholas J. Belkin, Jingjing Liu, Chang Liu, Xiangmin Zhang
2010 conf
JCDL
Jingjing Liu, Michael J. Cole, Chang Liu, Ralf Bierig, Jacek Gwizdka, Nicholas J. Belkin, Jun Zhang, Xiangmin Zhang
2009 conf
UIIR@SIGIR
Ralf Bierig, Jacek Gwizdka, Michael J. Cole
2009 ch.
Information Retrieval
Ayse Göker, Hans Myrhaug, Ralf Bierig
2009 ed.
UIIR@SIGIR
Nicholas J. Belkin, Ralf Bierig, Georg Buscher, Ludger van Elst, Jacek Gwizdka, Joemon M. Jose, Jaime Teevan
2009 J jnl
SIGIR Forum
Georg Buscher, Jacek Gwizdka, Jaime Teevan, Nicholas J. Belkin, Ralf Bierig, Ludger van Elst, Joemon M. Jose
2008 J jnl
Inf. Process. Manag.
Ian Ruthven, Mark Baillie, Leif Azzopardi, Ralf Bierig, Emma Nicol, Simon O. Sweeney, Murat Yaciki
2007 A* conf
SIGIR
Ian Ruthven, Leif Azzopardi, Mark Baillie, Ralf Bierig, Emma Nicol, Simon O. Sweeney, Murat Yakici
2007 A* conf
SIGIR
Fabio Simeoni, Fabio Crestani, Ralf Bierig
2006 conf
TREC
Cindy Azzopardi, Leif Azzopardi, Mark Baillie, Ralf Bierig, Emma Nicol, Ian Ruthven, Scott Sweeney
2006 conf
IIiX
Ralf Bierig, Ayse Göker
2004 conf
EUSAI (adjunct)
Ayse Göker, Stuart Watt, Hans I. Myrhaug, Nik Whitehead, Murat Yakici, Ralf Bierig, Sree Kanth Nuti, Hannah Cumming
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;