Ralf Klischewski

66 papers A 2B 1C 1Misc 1Journal 13Unranked 45
YearRankTypeTitle / Venue / Authors
2021 conf
EGOV
Ralf Klischewski
2020 A conf
BPM
Mahi Samir Ismail, Ralf Klischewski
2020 conf
GI-Jahrestagung
Reimund Lepiorz, Slim Abdennadher, Ralf Klischewski, Volker Wohlgemuth
2019 conf
DG.O
Ralf Klischewski
2018 conf
MKWI
Ralf Klischewski
2017 conf
EGOV
Ralf Klischewski, Yomn Elmistikawy
2017 J jnl
J. Big Data
Ahmed Elragal, Ralf Klischewski
2015 conf
ECIS
Ralf Klischewski, Ahmed Abdelhameed Elragal
2015 conf
EGOV
Mai Abu-El Seoud, Ralf Klischewski
2015 conf
AFRICON
Lemma Lessa, Salehu Anteneh, Ralf Klischewski, Mesfin Belachew
2014 conf
ICEGOV
Ralf Klischewski
2014 J jnl
Gov. Inf. Q.
Ralf Klischewski
2012 conf
HICSS
Ralf Klischewski
2012 J jnl
Gov. Inf. Q.
Ralf Klischewski, Eman Askar
2012 J jnl
Gov. Inf. Q.
Hans Jochen Scholl, Herbert Kubicek, Ralf Cimander, Ralf Klischewski
2011 J jnl
J. Theor. Appl. Electron. Commer. Res.
Ralf Klischewski
2010 conf
HICSS
Ralf Klischewski, Ranwa Abubakr
2010 conf
EGOV
Ralf Klischewski
2010 conf
ICEGOV
Ralf Klischewski, Eman Askar
2009 conf
Wirtschaftsinformatik (2)
Ralf Klischewski, Stefan Ukena
2008 conf
HICSS
Ralf Klischewski, Stefan Ukena
2008 J jnl
Electron. Gov. an Int. J.
Ralf Klischewski, Hans Jochen Scholl
2008 conf
EGOV
Peter Bednár, Karol Furdík, Maren Kleimann, Ralf Klischewski, Marek Skokan, Stefan Ukena
2008 conf
EGOV
Ralf Klischewski, Stefan Ukena
2007 conf
HICSS
Marijn Janssen, Ralf Klischewski, Haluk Demirkan
2006 conf
HICSS
Ralf Klischewski, Hans Jochen Scholl
2006 conf
AAAI Spring Symposium: Semantic Web Meets eGovernment
Ralf Klischewski
2006 conf
HICSS
Kim Viborg Andersen, Ralf Klischewski, Hans Jochen Scholl
2006 J jnl
Bus. Process. Manag. J.
Ralf Klischewski
2005 conf
EGOV (Workshops and Posters)
Ralf Klischewski
2005 conf
HICSS
Hans Jochen Scholl, Ralf Klischewski, M. Jae Moon
2005 J jnl
Bus. Process. Manag. J.
Ralf Klischewski, Ingrid Wetzel
2005 conf
Wirtschaftsinformatik
Wolf-Gideon Bleek, Ralf Klischewski, Heike Stach
2004 conf
DEXA Workshops
Ralf Klischewski
2004 conf
EGOV
Ralf Klischewski
2004 conf
HICSS
Michael Holm Larsen, Ralf Klischewski
2004 conf
HICSS
Ralf Klischewski, Martti Jeenicke
2004 J jnl
Inf. Syst.
Ingrid Wetzel, Ralf Klischewski
2004 conf
HICSS
Heide Bruecher, Ralf Klischewski, Hans Jochen Scholl
2004 J jnl
J. Web Eng.
Wolf-Gideon Bleek, Martti Jeenicke, Ralf Klischewski
2003 C conf
SEKE
Martti Jeenicke, Wolf-Gideon Bleek, Ralf Klischewski
2003 conf
WWW (Posters)
Martti Jeenicke, Wolf-Gideon Bleek, Ralf Klischewski
2003 conf
EGOV
Ralf Klischewski
2003 conf
HICSS
Ralf Klischewski
2002 B conf
COMPSAC
Wolf-Gideon Bleek, Martti Jeenicke, Ralf Klischewski
2002 conf
Social Thinking - Software Practice
Ralf Klischewski
2002 A conf
CAiSE
Ingrid Wetzel, Ralf Klischewski
2002 conf
HICSS
Ralf Klischewski, Ingrid Wetzel
2002 ed.
Social Thinking - Software Practice
Yvonne Dittrich, Christiane Floyd, Ralf Klischewski
2002 conf
EGOV
Ralf Klischewski, Klaus Lenk
2002 conf
Promise
Ralf Klischewski, Ingrid Wetzel
2002 J jnl
EMISA Forum
Wolf-Gideon Bleek, Martti Jeenicke, Ralf Klischewski
2001 J jnl
EMISA Forum
Roland H. Kaschek, Ralf Klischewski, Ingrid Wetzel
2001 conf
ECIS
Ralf Klischewski
2001 Misc conf
MuC
Ralf Klischewski
2001 conf
ISTA
Ralf Klischewski, Ingrid Wetzel
2001 conf
Wirtschaftsinformatik
Ralf Klischewski, Ingrid Wetzel
2001 conf
GI Jahrestagung (1)
Ralf Klischewski, Ingrid Wetzel
2001 conf
I3E
Ralf Klischewski, Ingrid Wetzel
2000 J jnl
Inform. Spektrum
Ralf Klischewski, Ingrid Wetzel
1999 book
Informatik und Gesellschaft - eine Einführung.
Ralf Klischewski
1998 conf
Informatik und Ausbildung
Ingrid Wetzel, Ralf Klischewski, Anita Krabbel, Carola Lilienthal
1998 conf
Modellierung
Christiane Floyd, Ralf Klischewski
1996
Ralf Klischewski
1992 conf
Informatik zwischen Wissenschaft und Gesellschaft
Ralf Klischewski, Arno Rolf
1989 conf
FIFF Jahrestagung
Ralf Klischewski, Annäus Bruhns, Johannes Joemann, Stefan Lange, Georg Reichwein, Heike Stach
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;