feat(ttp): E.3.11 CanaryFingerprintLifter (R0049-R0053)

Browser-payload derivations per Appendix A.9: navigator.webdriver flag,
canvas/audio/WebGL automation hash matches (Puppeteer/Playwright/
Selenium/curl-impersonate), WebRTC IP leak, TZ/language vs source-IP
geo mismatch, navigator.platform vs userAgent vs WebGL renderer
inconsistency.

Evidence shape pinned to CanaryFingerprintEvidence (metric +
matched_signature) — raw fingerprint blobs (canvas hashes, full UAs,
navigator.platform values) explicitly NOT carried into TTPTag.evidence
per TTP_TAGGING.md §'Hard parts §7' (enrichment vs tag boundary). The
identity-merge guard rail is preserved: composite fp.id matches across
IPs are NOT a TTP, so no rule fires on the bare hash.

Tests: tests/ttp/test_canary_fingerprint_lifter.py per-rule positive +
negative + evidence-shape guard + state modulation.
tests/ttp/rule_precision/test_canary_rules.py xfail flipped to real
precision (R0049/R0050/R0051/R0053 H-band ≥95%; R0052 M-band ≥80%).

decnet/ttp/factory.py

@@ -115,12 +115,16 @@ def get_tagger() -> Tagger:
     name = os.environ.get("DECNET_TTP_TAGGER_TYPE", _DEFAULT).strip().lower()
     if name == "composite":
         from decnet.ttp.impl.behavioral_lifter import BehavioralLifter
+        from decnet.ttp.impl.canary_fingerprint_lifter import (
+            CanaryFingerprintLifter,
+        )
         from decnet.ttp.impl.intel_lifter import IntelLifter
         from decnet.ttp.store.factory import get_rule_store
         store = get_rule_store()
         return CompositeTagger(lifters=[
             BehavioralLifter(store),
             IntelLifter(store),
+            CanaryFingerprintLifter(store),
         ])
     raise ValueError(
         f"Unknown tagger: {name!r}. Known: {_KNOWN}"

decnet/ttp/impl/canary_fingerprint_lifter.py

@@ -1,25 +1,159 @@
-"""Canary fingerprint lifter — browser-payload derived technique tagger.
+"""Canary fingerprint lifter — browser-payload derived technique tagger (E.3.11).
 
-Contract step E.1.6 of ``development/TTP_TAGGING.md``. Empty body.
-Implementation phase reads canary-payload fingerprints (navigator
-properties, canvas hashes, proxy/VPN leakage signatures) and emits
-Discovery / Defense-Evasion techniques. The evidence shape is pinned
-to :class:`~decnet.web.db.models.ttp.CanaryFingerprintEvidence`
+Reads canary-payload fingerprints (navigator properties, canvas hashes,
+proxy/VPN leakage signatures) per Appendix A.9 and emits Discovery /
+Defense-Evasion techniques. Evidence shape is pinned to
+:class:`~decnet.web.db.models.ttp.CanaryFingerprintEvidence`
 (``metric`` + ``matched_signature``) — raw fingerprint blobs never
-land in evidence.
+land in the tag payload. The composite identity hash matching across
+IPs is explicitly NOT a TTP (TTP_TAGGING.md §"Identity-merge guard
+rail"); the lifter does not emit on it.
 """
 from __future__ import annotations
 
+from collections.abc import Callable
+from typing import Any, Final
+
 from decnet.ttp.base import TaggerEvent, TolerantTagger
+from decnet.ttp.impl._emit import emit_tags
+from decnet.ttp.impl._rule_index import RuleIndex
+from decnet.ttp.impl._state import is_active
+from decnet.ttp.impl.rule_engine import CompiledRule
+from decnet.ttp.store.base import RuleStore
 from decnet.web.db.models.ttp import TTPTag
 
 
+Predicate = Callable[
+    [dict[str, Any], dict[str, Any]],
+    "dict[str, Any] | None",
+]
+
+
+def _p_webdriver(
+    _spec: dict[str, Any], payload: dict[str, Any],
+) -> dict[str, Any] | None:
+    if payload.get("navigator_webdriver") is True:
+        return {
+            "metric": "navigator_webdriver",
+            "matched_signature": "navigator.webdriver_true",
+        }
+    return None
+
+
+def _p_automation_hash(
+    spec: dict[str, Any], payload: dict[str, Any],
+) -> dict[str, Any] | None:
+    catalogues_raw = spec.get("catalogues", [])
+    catalogues = (
+        {c for c in catalogues_raw if isinstance(c, str)}
+        if isinstance(catalogues_raw, list)
+        else set()
+    )
+    matched = payload.get("canvas_audio_hash_match") or payload.get("matched_tool")
+    if isinstance(matched, str) and (not catalogues or matched in catalogues):
+        return {
+            "metric": "canvas_audio_hash",
+            "matched_signature": matched,
+            "matched_tool": matched,
+        }
+    return None
+
+
+def _p_webrtc_leak(
+    _spec: dict[str, Any], payload: dict[str, Any],
+) -> dict[str, Any] | None:
+    if payload.get("webrtc_geo_mismatch") is True:
+        return {
+            "metric": "webrtc_geo_mismatch",
+            "matched_signature": "webrtc_private_vs_source_ip",
+        }
+    return None
+
+
+def _p_tz_lang_mismatch(
+    _spec: dict[str, Any], payload: dict[str, Any],
+) -> dict[str, Any] | None:
+    tz_zones = payload.get("tz_mismatch_zones")
+    lang_mismatch = payload.get("lang_country_mismatch") is True
+    tz_hit = isinstance(tz_zones, int) and tz_zones >= 3
+    if tz_hit:
+        return {
+            "metric": "timezone_geo_mismatch",
+            "matched_signature": f"tz_zones>={tz_zones}",
+        }
+    if lang_mismatch:
+        return {
+            "metric": "language_country_mismatch",
+            "matched_signature": "lang_vs_source_country",
+        }
+    return None
+
+
+def _p_platform_inconsistency(
+    _spec: dict[str, Any], payload: dict[str, Any],
+) -> dict[str, Any] | None:
+    if payload.get("platform_ua_inconsistent") is True:
+        return {
+            "metric": "platform_ua_mismatch",
+            "matched_signature": "navigator.platform_vs_userAgent",
+        }
+    if payload.get("ua_webgl_mismatch") is True:
+        return {
+            "metric": "ua_webgl_mismatch",
+            "matched_signature": "userAgent_vs_webgl_renderer",
+        }
+    return None
+
+
+_PREDICATES: Final[dict[str, Predicate]] = {
+    "lifter:canary_webdriver": _p_webdriver,
+    "lifter:canary_automation_hash": _p_automation_hash,
+    "lifter:canary_webrtc_leak": _p_webrtc_leak,
+    "lifter:canary_tz_lang_mismatch": _p_tz_lang_mismatch,
+    "lifter:canary_platform_inconsistency": _p_platform_inconsistency,
+}
+
+
 class CanaryFingerprintLifter(TolerantTagger):
     name = "canary_fingerprint"
     HANDLES = frozenset({"canary_fingerprint"})
+    OWNED_PREFIX: Final[str] = "lifter:canary_"
+
+    def __init__(self, store: RuleStore) -> None:
+        self._store = store
+        self._index = RuleIndex()
+
+    @classmethod
+    def _owns(cls, rule: CompiledRule) -> bool:
+        kind = rule.match_spec.get("kind", "")
+        return isinstance(kind, str) and kind.startswith(cls.OWNED_PREFIX)
+
+    async def watch_store(self) -> None:
+        await self._index.watch(self._store, predicate=self._owns)
 
     async def _tag_impl(self, event: TaggerEvent) -> list[TTPTag]:
-        return []
+        out: list[TTPTag] = []
+        for rule in self._index.values():
+            if event.source_kind not in rule.applies_to:
+                continue
+            if not is_active(rule.state):
+                continue
+            kind = rule.match_spec.get("kind", "")
+            handler = _PREDICATES.get(kind)
+            if handler is None:
+                continue
+            extra = handler(rule.match_spec, event.payload)
+            if extra is None:
+                continue
+            # Evidence shape is pinned by CanaryFingerprintEvidence —
+            # only metric + matched_signature land in the tag. Raw
+            # fingerprint blobs explicitly NOT carried.
+            evidence: dict[str, Any] = {
+                "metric": extra.get("metric", ""),
+                "matched_signature": extra.get("matched_signature", ""),
+            }
+            out.extend(emit_tags(rule, event, evidence))
+        return out
 
 
 __all__ = ["CanaryFingerprintLifter"]