Files
DECNET/decnet/canary/generators/fingerprint_svg.py
anti b26dd8f529 feat(canary): API-trashing defense — 4-layer fingerprint validation
Adds per-mint nonce gating, structural shape validation, mint UUID
consistency checks, and a per-(token, IP) rate limiter to the canary
worker so attackers who extract a canary from a decky filesystem cannot
poison fingerprint forensics by replaying or forging ?d= submissions.

Changes:

base.py
  fingerprint_nonce: Optional[str] added to CanaryArtifact so generators
  can surface the nonce to the cultivator without coupling the generator
  directly to DB code.

obfuscator.py
  nonce_for(callback_token, mint_uuid): HMAC-SHA256 keyed on
  DECNET_CANARY_FINGERPRINT_SECRET, truncated to 16 hex chars.
  FingerprintSecretMissing raised at mint time if env var is unset.
  render_fingerprint_js() now accepts nonce= and substitutes MINT_NONCE.

fingerprint_payload.js
  New MINT_NONCE placeholder. Appended as &k= on all beacon URLs (bare-open,
  single-shot, chunked). Using &k= avoids colliding with &n= (chunk total).

fingerprint_html.py / fingerprint_svg.py
  Derive nonce via nonce_for() and pass to render_fingerprint_js(). Set
  artifact.fingerprint_nonce so the cultivator can persist it.

cultivator.py
  Passes fingerprint_nonce into create_canary_token() when present on the
  artifact; NULL for all non-fingerprint generators.

canary.py (model)
  fingerprint_nonce: Optional[str] = Field(default=None, max_length=16)
  added to CanaryToken. None for non-fingerprint tokens.

worker.py
  _extract_fingerprint now returns (meta_dict, parsed_fp) tuple.
  _record_hit accepts parsed_fp + raw_nonce and runs 4 layers after
  token lookup: nonce match, shape check, mint UUID consistency, rate limit.
  Each failure sets _fp_invalid_* flag and drops structured _fp.
  Trigger row always lands regardless.

tests/canary/conftest.py
  Session-scoped autouse fixture sets DECNET_CANARY_FINGERPRINT_SECRET so
  fingerprint generator and worker tests work offline.

tests
  5 new worker HTTP tests and 2 new generator tests covering each
  validation layer.
2026-04-29 17:41:04 -04:00

89 lines
3.6 KiB
Python

"""SVG fingerprint canary — standalone SVG with an embedded ``<script>``
that runs the obfuscated fingerprinter when the file is opened directly
in a browser.
SVG ``<script>`` only fires when the SVG is loaded as a top-level
document (or via ``<object>``/``<iframe>``); it's *blocked* when the
SVG is referenced from another page's ``<img>``. That's the right
posture for canary use: an attacker browsing the decky filesystem and
double-clicking a stray ``network_diagram.svg`` triggers it; rendering
inside a sandboxed CMS preview does not.
Same determinism guarantees as :mod:`fingerprint_html`.
"""
from __future__ import annotations
from decnet.canary.base import CanaryArtifact, CanaryContext, CanaryGenerator
from decnet.canary.generators.fingerprint_html import _mint_uuid_for, _stable_int
from decnet.canary.obfuscator import render_fingerprint_js, nonce_for
_DIAGRAM_TEMPLATE = """<?xml version="1.0" encoding="UTF-8"?>
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 600 360" width="600" height="360">
<style>
.box{{fill:#f7f9fb;stroke:#7a93ad;stroke-width:1.2}}
.lbl{{font:12px Segoe UI,Arial,sans-serif;fill:#2a3a4a}}
.edge{{stroke:#7a93ad;stroke-width:1.2;fill:none}}
.title{{font:bold 14px Segoe UI,Arial,sans-serif;fill:#1a2a3a}}
.cap{{font:10px Segoe UI,Arial,sans-serif;fill:#6a7a8a}}
</style>
<text class="title" x="20" y="28">Network Topology — {region} segment</text>
<text class="cap" x="20" y="44">draft v{ver} · last reviewed {review}</text>
<rect class="box" x="40" y="80" width="120" height="50" rx="4"/>
<text class="lbl" x="100" y="110" text-anchor="middle">edge gw</text>
<rect class="box" x="240" y="80" width="120" height="50" rx="4"/>
<text class="lbl" x="300" y="110" text-anchor="middle">core sw</text>
<rect class="box" x="440" y="80" width="120" height="50" rx="4"/>
<text class="lbl" x="500" y="110" text-anchor="middle">app cluster</text>
<rect class="box" x="240" y="220" width="120" height="50" rx="4"/>
<text class="lbl" x="300" y="250" text-anchor="middle">db tier</text>
<path class="edge" d="M160 105 L240 105"/>
<path class="edge" d="M360 105 L440 105"/>
<path class="edge" d="M300 130 L300 220"/>
<script type="application/ecmascript"><![CDATA[
{payload}
]]></script>
</svg>
"""
_REGIONS = ("us-east", "eu-central", "ap-south", "us-west", "sa-east")
class FingerprintSvgGenerator(CanaryGenerator):
"""Synthesise an SVG that fingerprints the browser opening it."""
name = "fingerprint_svg"
def generate(self, ctx: CanaryContext) -> CanaryArtifact:
mint_uuid = _mint_uuid_for(ctx.callback_token)
nonce = nonce_for(ctx.callback_token, mint_uuid)
payload = render_fingerprint_js(
callback_token=ctx.callback_token,
http_base=ctx.http_base,
mint_uuid=mint_uuid,
nonce=nonce,
)
region = _REGIONS[_stable_int(ctx.callback_token, "reg") % len(_REGIONS)]
ver = 1 + (_stable_int(ctx.callback_token, "ver") % 6)
day = _stable_int(ctx.callback_token, "day") % 28 + 1
body = _DIAGRAM_TEMPLATE.format(
region=region,
ver=ver,
review=f"2026-03-{day:02d}",
payload=payload,
)
beacon = f"{ctx.http_base.rstrip('/')}/c/{ctx.callback_token}"
return CanaryArtifact(
path="",
content=body.encode("utf-8"),
mode=0o644,
mtime_offset=-86400 * 30,
generator=self.name,
fingerprint_nonce=nonce,
notes=[
f"obfuscated fingerprinter beacons={beacon}",
f"mint_uuid={mint_uuid}",
],
)