llm-security-commons/docs/extraction-plan.md
Kjell Tore Guttormsen dd6ae51d60 feat(mapping): add owasp-map.json from verified llm-security dump
Four parallel taxonomy maps — LLM, ASI (agentic), AST (skills) and MCP —
each keyed by the same 16 scanner prefixes, so a finding can be placed in
whichever taxonomy a report is written against.

Proven, not transcribed: each exported object was rebuilt from the commons
JSON alone and compared against the imported dump module — 4/4 identical on
keys, order, values and empty arrays. The shared 16-key order was verified
across all eight objects rather than assumed, and the count is the counted
one (the dump's own aside says 14).

Empty arrays are data and are preserved as arrays: agentic TRG/AST, skills
WFL/SIG, mcp WFL/TRG/SIG/AST all mean "deliberately mapped to nothing", not
"gap to fill".

Recorded as an open question in the file rather than papered over: the dump
does not state which EDITION of each taxonomy the codes belong to. OWASP's
LLM Top 10 was renumbered between editions — LLM06 is Excessive Agency in the
2025 list, with earlier entries consolidated and LLM07/LLM08 newly added — so
a bare LLM06 does not identify a risk. Two runtimes can match this map
perfectly and still disagree about what a finding means, which is the exact
failure this repository exists to prevent. taxonomy_name is left null rather
than guessed; the question goes to llm-security.

Scanner prefix meanings were not supplied and are reproduced as opaque keys.
Verification log in docs/extraction-plan.md.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01FaYqid3mejFmd9ZHsiHgp3
2026-08-09 21:11:50 +02:00

19 KiB
Raw Blame History

Extraction plan — v0.1.0

Status: informative. This is the plan of record for how this repository came to exist, copied verbatim (structure preserved, lightly reformatted) from the operator brief that opened it. It is not normative: nothing here constrains a consumer. When it disagrees with spec/ or schema/, those win.

Origin: Phase 4 of the llm-security v8 plan, which lives in the sibling repository llm-security. That repository is context only — no session in this repository reads from or writes to it.

Charter

No engine code. Only: JSON data, normative specs, and a conformance corpus that several runtimes (Node in llm-security, Python in a guard repo, a wiki) can run against and get an identical verdict from. The pattern is copied from the sibling repository portfolio-optimiser-commons (hard charter: "nothing here may import/depend on a framework").

Layout

llm-security-commons/
  README.md                       # charter: data+contract+fixtures only, no engine code
  lexicon/injection-lexicon.json
  codepoints/carriers.json        # zero-width, BIDI, Unicode-Tag ranges, homoglyph map
  signatures/secret-egress.json
  signatures/malware-signatures.json
  signatures/active-content.json  # EchoLeak: MD image/link/refdef/autolink, data:, active HTML
  calibration/calibration.json    # entropy floors, scan caps, disposition ranks
  mapping/owasp-map.json          # prefix -> LLM/ASI/AST/MCP
  schema/finding.schema.json      # + SARIF & JSONL profiles. Status: normative
  spec/decode-pipeline.md         # normative RFC-2119 decode order
  conformance/                    # {case}/input.txt + {case}/expected.json
  STATE.md                        # LOCAL-ONLY / gitignored (mirror commons convention)

Every JSON file carries a top-level "version" field. Every spec carries a Status: normative marker.

v0.1.0 seed sources

llm-security is the canonical and richest source. This repository's sessions have no read access to it — content arrives only as an operator-supplied dump. Security-critical tables (homoglyph map, secret patterns, malware signatures) MUST come from real source data, never from recollection or inference.

Target Seed source in llm-security (unless noted)
lexicon/injection-lexicon.json scanners/lib/injection-patterns.mjs
codepoints/carriers.json scanners/unicode-scanner.mjs + scanners/lib/string-utils.mjs (incl. HOMOGLYPH_MAP)
signatures/secret-egress.json hooks/scripts/pre-edit-secrets.mjsSECRET_PATTERNS, the 18-entry hook table, NOT the PCRE-flavored agent-consumed variant in knowledge/secrets-patterns.md. (Corrected 2026-08-09: this row originally named knowledge/secrets-patterns.md as the source file. The delivered dump named pre-edit-secrets.mjs and stated explicitly that the two are different files. The row now names the file that was actually delivered.)
signatures/malware-signatures.json knowledge/signatures.json (the SIG scanner)
signatures/active-content.json currently only in a guard repo's active_content.py. If unavailable: stub with a version field and a TODO naming the source
calibration/calibration.json scanners/lib/severity.mjs — thresholds + scanner caps
mapping/owasp-map.json scanners/lib/severity.mjsOWASP_MAP (+ 3 sibling maps in the same file)
schema/finding.schema.json modelled on scanners/lib/sarif-formatter.mjs's SARIF shape
conformance/ union of the guard repo's coverage.py matrix (126 classes + 4 gaps-must-hold) and llm-security/examples/

Constraints

  • Offline / deterministic only — no network, no model calls inside the data itself.
  • Forgejo open/ — never GitHub.
  • MIT license, fork-and-own.
  • STATE.md is LOCAL-ONLY (gitignored) — same convention as the rest of the polyrepo.
  • Behaviour preservation is the point: this must not change a single finding in llm-security when it is later consumed from here. That consumption happens in llm-security's own Phase 5 steps 34 — not here.

Verification log

Every claim of fidelity below was produced by a command, not by reading. The check scripts themselves deliberately do not live in this repository — executable code here would breach the charter. They are reproducible from the description given.

signatures/active-content.json — extracted 2026-08-09

Source: llm-ingestion-pipeline-security v0.3.4, commit 0bf0729 (2026-08-03), src/llm_ingestion_guard/active_content.py + calibration.py. Read-only; nothing in that repository was modified.

Check Method Result
JSON well-formed python3 -m json.tool pass
Patterns compile as Python re translate (?<(?P<, compile all 17 with declared flags 17/17, 0 failures
Patterns compile as ECMAScript new RegExp(pattern, flags) on all 17 17/17, 0 failures
Pattern text matches source compare against the live re.Pattern.pattern of each source object, inline flags stripped 12/17 byte-identical; 5 differ only by the documented redundant-quote-escape normalisation
The 5 normalised patterns behave identically differential match-set comparison (offsets + captured text) against the source objects over a 30-input adversarial corpus: bare quotes, escaped quotes, markdown titles containing quotes, quoted/unquoted HTML attributes, quote runs of length 15 150 comparisons, 0 differences
The normalisation is necessary new RegExp('\\"', 'u') and 'v' in Node both throw Invalid escape; the bare form compiles under "", "u" and "v"
Severities, ordinary severity, opacity floors, active-tag set, pass order compare against calibration.ACTIVE_CONTENT_SEVERITY, ACTIVE_CONTENT_ORDINARY_SEVERITY, URL_OPAQUE_*, active_content._ACTIVE_TAGS, and the scan-call order in scan_active_content all identical (23/23 tags, 6/6 severities, 4/4 floors)

Not verified, and not claimed: that the Node consumer's active-content behaviour matches this table. The source module states the Node port shares its severities; that is the module's claim, and confirming it needs the Node file.

schema/finding.schema.json — extracted 2026-08-09

Source: llm-security/scanners/lib/sarif-formatter.mjs, supplied as an operator dump. No commit hash accompanied it, so provenance is recorded as unknown rather than guessed.

Check Method Result
JSON well-formed python3 -m json.tool pass
Valid JSON Schema jsonschema check_schema against draft 2020-12 pass
Accepts/rejects findings correctly 2 valid + 3 invalid findings (missing scanner, unknown severity, line: 0) 5/5 as intended
SARIF profile reproduces the source re-implemented the mapping from the commons JSON alone and diffed JSON.stringify against the real toSARIF over 10 envelope shapes: empty, missing scanners, empty scanners, scanner with no findings, all five severities plus an unknown and an undefined one, five slug edge cases (double space, tab, newline, leading/trailing space, mixed case), a rule-id collision, all seven optional-field combinations, two scanners, and an explicit version argument 10/10 identical, 0 differences
The three known_lossiness claims are true executed each against the real formatter all three confirmed, and one earlier claim corrected: punctuation does not collapse — the slug lowercases and collapses whitespace only, so Zero-width carrier and Zero-width carrier! remain distinct ids. The wrong claim was published in the first draft of this file and fixed before commit.

Not verified, and recorded in the file as open: the finding producer was not supplied, so the property list is a lower bound; scanner and severity are required by design rather than by evidence; and the JSONL profile is left explicitly unspecified rather than invented, because "one finding per line" is inference.

lexicon/injection-lexicon.json — extracted 2026-08-09

Source: llm-security/scanners/lib/injection-patterns.mjs, supplied as operator dump 2/2 through the local coord mailbox. No commit hash accompanied it, so provenance is recorded as unknown rather than guessed.

Check Method Result
JSON well-formed, version present, LF, trailing newline, no raw invisible code points python3 -m json.tool + a byte scan for U+200B/200C/200D/FEFF/00AD and the Tag block pass, 0 raw invisible code points
Pattern text and flags reproduce the source rebuilt all four arrays from the commons JSON alone (new RegExp(p.pattern, p.flags ?? '')) and diffed label, .source and .flags against the imported dump module 83/83 compared, 0 differences; 81/83 byte-identical, 2 declared-normalised
Flags were read mechanically, not by eye extracted from each literal via .flags critical 15×i / 3×m / 3 none, high 32×i, medium 20×i / 2 none, hybrid 8×i
Every pattern compiles in both runtimes new RegExp(src, flags) and again with u in Node; re.compile with the equivalent re.I/re.M in Python 83/83 in all three modes, 0 failures
The 2 normalised patterns behave identically differential match-set comparison (offsets + matched text) against the source objects, bare and under u, over a 208-input adversarial corpus: every class member, the near-misses excluded from each class (U+00AD, U+2060, U+180E, Cyrillic х, the uppercase set, Greek look-alikes), run boundaries, repeats, empty input 832 comparisons, 0 differences
Class membership was counted, not assumed enumerated the code points inside each character class directly from the dump bytes zero-width class = 4 (U+200B, U+200C, U+200D, U+FEFF — not U+00AD); Cyrillic class = 7 (U+0430, U+0435, U+043E, U+0440, U+0441, U+0456, U+0443)
\/ is portable, not a defect 9 patterns carry the redundant escape a JS regex literal requires; compiled in Node bare, Node u, and Python re accepted by all three — kept byte-identical, recorded as a translation note for engines that reject unknown escapes

Not verified, and not claimed: that the dump matches the module it was transcribed from. Every check above proves this JSON agrees with the dump; dump-to-module fidelity is llm-security's assertion, reproducible only in a session with read access to that repository. The severity the engine assigns to HYBRID_PATTERNS was not supplied and is left null rather than inferred from its three sibling arrays.

codepoints/carriers.json — extracted 2026-08-09

Source: llm-security/scanners/unicode-scanner.mjs (charset constants) and llm-security/scanners/lib/string-utils.mjs (HOMOGLYPH_MAP), supplied as operator dump 2/2 through the local coord mailbox. No commit hash accompanied it.

Check Method Result
JSON well-formed, version present, no raw invisible code points python3 -m json.tool + byte scan for zero-width, BIDI and Tag-block characters pass, 0 raw invisible code points
Five of the six tables reproduce the source constants rebuilt each from the commons JSON alone (parseInt(codepoint.slice(2), 16)) and diffed against the imported dump module ZERO_WIDTH_CHARS 5/5, BIDI_CHARS 9/9, CYRILLIC_CONFUSABLES 13/13, tag start/end — 0 differences
The homoglyph map reproduces the source, including order rebuilt the object from the entries array and compared keys, values and the whole object 28/28 keys, values and insertion order identical
The map folds identically applied NFKC + lookup with both the rebuilt and the source table over 12 inputs (Cyrillic and Greek injection spellings, Norwegian and German orthography, empty) 0 differences
The exclusion rationale in the source comment is true checked whether any of 帿ŨÆäöüßéèêñç is a key 0 touched — ordinary Norwegian and German orthography is not folded
Convenience char fields agree with their own codepoint field String.fromCodePoint round-trip on every entry 41/41, 0 mismatches
Character names are not from recollection resolved every name through Python unicodedata against the Unicode character database all resolved
Table sizes were counted, not quoted counted from the imported constants homoglyph map holds 28 entries, not the "~25" the dump's own comment estimates; the counted number is the one recorded

Not verified, and marked verified: false in the file itself: the two Supplementary Private Use Area ranges. They arrived as a source comment with no constant behind them, so unlike the other five tables there was nothing to import and diff. That asymmetry is recorded per-table rather than averaged into a single file-level verdict.

Recorded and deliberately not reconciled, in cross_table_notes: the repository now holds three overlapping Cyrillic sets and two overlapping zero-width sets, and none agree exactly. The zero-width carrier table includes U+00AD while the lexicon's pattern class does not; the lexicon's class contains U+0456 which CYRILLIC_CONFUSABLES lacks, and CYRILLIC_CONFUSABLES contains U+0445 which the class lacks; and six of the confusables have no entry in the fold map. The dump states the presence set and the fold map are deliberately distinct. The U+0456 / U+0445 divergence is reported to llm-security rather than fixed here.

signatures/secret-egress.json — extracted 2026-08-09

Source: llm-security/hooks/scripts/pre-edit-secrets.mjs (SECRET_PATTERNS), supplied as operator dump 2/2 through the local coord mailbox. No commit hash accompanied it.

The seed-source row above was wrong and has been corrected. It named knowledge/secrets-patterns.md; the dump named hooks/scripts/pre-edit-secrets.mjs and stated that the two are different tables — the second is PCRE-flavoured and agent-consumed and stays where it is. Recording a source file that was never delivered is the same defect class as the lossiness claim corrected in finding.schema.json, so it is corrected here in the same commit as the file it describes.

Check Method Result
JSON well-formed, version present, LF, trailing newline python3 -m json.tool + byte scan pass
Pattern text and flags reproduce the source rebuilt the table from the commons JSON alone, sorted by the declared order, and diffed name, .source and .flags against the imported dump module 18/18, 0 differences, 18/18 byte-identical — no normalisation needed
Every pattern compiles in both runtimes new RegExp bare and under u in Node; re.compile with re.I where declared in Python 18/18 in all three modes, 0 failures
The ordering contract holds, and is not decorative reproduced first-match labelling from the commons order for a Bearer header containing a JWT and for a bare JWT, against the source table both labels identical to source: header case → Authorization header with token, bare case → JWT (three-part token)
Reordering is detectable, not silent ran the same Bearer input through a reversed table label changes to JWT (three-part token) — order is load-bearing, which is why every entry carries an explicit order field
order is contiguous compared to range(18) 017, no gaps

Not verified, and not claimed: that the dump matches the module. Not supplied, and therefore not invented: any severity or per-entry disposition — the source table carries a name and a pattern and nothing else. Out of scope by the dump's own statement: the runtime policy-injected custom patterns (entries 19+). A consumer matching only this table matches less than the seed hook does when a policy is loaded.

mapping/owasp-map.json — extracted 2026-08-09

Source: llm-security/scanners/lib/severity.mjs (OWASP_MAP, OWASP_AGENTIC_MAP, OWASP_SKILLS_MAP, OWASP_MCP_MAP), supplied as operator dump 2/2 through the local coord mailbox. No commit hash accompanied it.

Check Method Result
JSON well-formed, version present python3 -m json.tool pass
All four maps reproduce the source rebuilt each exported object from the commons JSON alone, iterating the declared prefix list, and compared JSON.stringify against the imported dump module 4/4 identical — keys, order, values and empty arrays
Key sets are identical across taxonomies, and counted compared key order across all four in both the commons file and the source one shared order, 16 prefixes, in all eight objects
Empty arrays survive as arrays type- and length-checked every prefix the source maps to nothing agentic TRG/AST, skills WFL/SIG, mcp WFL/TRG/SIG/AST — all still [], none dropped or nulled
Code prefixes are homogeneous per taxonomy extracted the alphabetic prefix of every code with a regex and asserted one per map LLM, ASI, AST, MCP — no mixed map

Recorded as an open question in the file, because it is the one thing a consumer can get wrong while matching this map exactly: the dump does not state which edition of each taxonomy the codes belong to. That matters and is not pedantry — OWASP's Top 10 for LLM Applications was renumbered between editions, and in the 2025 edition LLM06 is Excessive Agency, with earlier standalone entries consolidated into other numbers and System Prompt Leakage and Vector and Embedding Weaknesses added as LLM07 and LLM08 (OWASP project page, 2025 edition summary). A bare LLM06 therefore does not identify a risk. Two runtimes can reproduce this map perfectly and still publish reports that disagree about what a finding means. taxonomy_name is left null rather than guessed, and the question is reported to llm-security.

Not supplied, and therefore not invented: what each scanner prefix means. UNI, ENT, PRM and the rest are reproduced as opaque keys. Deliberately not inherited: the dump notes that a fallback map inside one of llm-security's own agent definitions covers only part of the prefix set — that is drift in the consumer, and the complete 16-prefix set is what moves here.

Definition of done for v0.1.0

  1. Repository initialized, Forgejo remote open/llm-security-commons, MIT, STATE.md gitignored.
  2. Every file in the layout above present and populated from verified seed data — or explicitly and visibly stubbed where the source was unavailable.
  3. All JSON well-formed, every data file carrying "version", every spec carrying Status: normative.
  4. Tagged v0.1.0 and pushed.
  5. A coord message sent to llm-security announcing that the repository and v0.1.0 exist, so Phase 5 step 3 (vendoring) can start from there.