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Author SHA1 Message Date
Victor Kuznetsov f83da5aee4 Expose Microsoft InvisMark removal signal 2026-08-25 18:52:26 -07:00
Victor Kuznetsov 251ba9ac79 Record the ComfyUI sync PyPI CDN race and its rerun recovery
pre-commit: 1) maintain.sh - docs-only change, full gate ran this session with identical code state (exit 1 on the known lightning triage, rest green); 2) /simplify - docs only; 3) docs sync - this is the sync; 4) CLAUDE.md - no change
2026-08-25 17:17:17 -07:00
Victor Kuznetsov c5764661b4 Release 0.30.0
pre-commit: 1) maintain.sh - exit 1 on uv-secure, lightning PYSEC-2026-3624 unchanged from 0.29.0, no fixed release exists, vulnerable API unreachable (no load_from_checkpoint in project or trustmark); ruff, pyright src/, and 1391 tests passed separately; 2) /simplify - version bump only; 3) docs sync - no version refs outside pyproject, __init__.py, uv.lock; 4) CLAUDE.md - no change
2026-08-25 16:52:27 -07:00
Victor Kuznetsov 97cba11efe Read the InvisMark soft-binding algorithm and its signed watermark id
Reachable c2pa.soft-binding assertions now surface their exact alg and the
bounded printable block value next to the normalized vendor label; a value
without its algorithm stays hidden because it cannot be attributed.
com.microsoft.invismark.1 uses that value as the pixel-watermark identifier
in Microsoft Paint output, so identify names it, metadata carries it, and an
InvisMark soft binding keeps the invisible-removal gate fail-safe even after
C2PA asset binding goes invalid. Content fingerprints still do not trigger
pixel regeneration. Removal is verified against Microsoft's Content
Provenance Detection API, which reports Watermark and C2PA separately; the
protocol and the pixel-identical control requirement are documented.

Implemented in a parallel session; verified, gated, and committed by pi.

pre-commit: 1) maintain.sh - exit 1 on the known uv-secure lightning PYSEC-2026-3624 triage (no fix available, unchanged from 0.29.0); ruff, pyright src/, and 1391 tests passed separately; 2) /simplify - single-pass, clean; 3) docs sync - five docs updated by the author session, no remaining references found; 4) CLAUDE.md - invariants recorded in module-internals, no change needed
2026-08-25 15:54:26 -07:00
Victor Kuznetsov 809d980fb7 Describe the real Hugging Face Space release mechanism
The Space demo is deployed from wiltodelta/raiw-hf-space: its uv lock pins the
library version, its sync workflow mirrors the files, and a factory reboot
alone re-installs the pinned version rather than upgrading. Document the manual
pin bump, the smoke-test CI in that repository, and live-call verification of
the running Space.

pre-commit: 1) maintain.sh - docs-only change, full gate ran this session with identical code state (exit 1 on the known lightning triage, rest green); 2) /simplify - docs only; 3) docs sync - this is the sync, no other references found; 4) CLAUDE.md - existing Space mention remains accurate
2026-08-25 15:00:24 -07:00
Victor Kuznetsov 10da166f3e Record the release-verification uv cache caveat and the pending lightning bump
pre-commit: 1) maintain.sh - docs-only change, last full run minutes ago: exit 1 on the known uv-secure lightning triage, ruff/pyright/1386 tests green; 2) /simplify - docs only; 3) docs sync - these are the doc updates; 4) CLAUDE.md - no change
2026-08-25 13:36:50 -07:00
17 changed files with 453 additions and 197 deletions

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+4
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@@ -44,6 +44,10 @@ removal.
| Run visible, invisible, and metadata removal | `all` | Recommended |
| Process a directory | `batch` | Depends on mode |
Microsoft Paint and Photos InvisMark declarations are routed automatically to
pixel regeneration. The `all` command removes both the hidden pixel watermark and
its linked C2PA manifest; metadata stripping alone removes only the manifest.
## Installation modes
| Need | Install |
+4 -1
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@@ -43,7 +43,10 @@ is found, it reports the origin as unknown. It does not claim the image is
clean. For C2PA files, the text report shows asset integrity, claim-signature,
signer-trust, and signer-validity results separately. An intact claim from an
untrusted or expired signer is reported at medium confidence; a failed asset
binding or signature does not confirm the claimed origin.
binding or signature does not confirm the claimed origin. When a structured
C2PA soft binding is present, the report also names its exact algorithm and
signed value; removing the manifest does not remove the referenced pixel
watermark or content fingerprint.
Machine readable output:
+5 -1
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@@ -407,7 +407,11 @@ remain identical because isolated decoder hits can otherwise be content noise.
It accepts Variant P schemas 0-2. Variant Q requires a different model, and
schema 3 is rejected at the measured precision threshold. Its NumPy 1.x runtime
limits the extra to Python 3.11-3.12; the rest of the package remains supported
through Python 3.14. The calibration history is in
through Python 3.14. Through 0.29.0 the extra also resolves lightning 2.6.5
(PYSEC-2026-3624, no fixed release yet); the vulnerable `load_from_checkpoint`
path is unreachable here because TrustMark loads its checksummed checkpoints
with plain `torch.load`. Bump lightning and cut a patch release when a fix
ships. The calibration history is in
[module internals](module-internals.md#metadata-and-provenance).
External AI versus real image classifiers are out of scope. The project
+11
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@@ -392,6 +392,17 @@ manifest names only `c2pa-tool` while a validated ingredient names Dreamina, and
Firefly chains that identify `Adobe_Firefly` without repeating a digital source
type. Unreachable manifests remain excluded.
Reachable `c2pa.soft-binding*` assertions retain their exact `alg` and bounded,
printable block `value` in addition to the normalized vendor label. A block value
without its algorithm is not surfaced because it cannot be attributed to a
decoder or registry entry. `com.microsoft.invismark.1` uses that value as the
pixel-watermark identifier in Microsoft Paint output. An InvisMark soft binding
keeps the invisible-removal gate fail-safe even when the C2PA asset binding has
since become invalid, because metadata damage does not prove the pixel carrier
disappeared. `identify` retains the generic `soft_binding` signal for schema-1
compatibility and adds `invismark` as the stable pixel-removal signal.
Content-fingerprint soft bindings do not trigger pixel regeneration.
The SDK default enables trust verification but supplies no production trust
anchors. Consequently, an installation without an explicitly maintained C2PA
trust bundle reports otherwise valid signer chains as untrusted and keeps their
+5
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@@ -233,6 +233,11 @@ the schema 1 serializer remains available for rolling upgrades. Asking a release
an unsupported schema raises `ValueError` rather than silently returning another
shape.
Microsoft InvisMark declarations emit both the compatible generic `soft_binding`
signal and the additive `invismark` signal. Consumers should use `invismark` to route
the image through pixel removal; the generic signal also covers content fingerprints
that must not trigger regeneration.
A record carries metadata regions, not the primary coded-pixel stream: marker
segments before the JPEG scan, every PNG chunk except `IDAT`, RIFF chunks except the
coded image, the ISOBMFF provenance boxes, the container's trailer, the parsed EXIF tags the
+26 -2
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@@ -11,7 +11,7 @@ A release is complete only after all four published surfaces are verified:
|---|---|---|
| PyPI | The `remove-ai-watermarks` wheel and source distribution | `publish.yml` |
| Homebrew | The `remove-ai-watermarks` formula in `wiltodelta/homebrew-tap` | `distribute.yml` |
| Hugging Face Space | A factory rebuild of `wiltodelta/remove-ai-watermarks` against the new PyPI release | `distribute.yml` |
| Hugging Face Space | The Space demo deployed on the new release through a requirements-pin bump in `wiltodelta/raiw-hf-space` | `raiw-hf-space` sync workflow; the pin bump is manual, `distribute.yml` only re-installs the pinned version |
| ComfyUI Registry | A compatible release of `wiltodelta/ComfyUI-remove-ai-watermarks` with its own node version | `distribute.yml` and the node repository's workflows |
The GitHub Release is the trigger and release record for this flow. Conda is
@@ -58,9 +58,17 @@ PyPI API token from the repository.
waits for the matching source distribution to appear on PyPI, then:
- updates the Homebrew tap formula URL and SHA-256;
- triggers a factory rebuild of the Hugging Face Space;
- triggers a factory rebuild of the Hugging Face Space: this re-installs the
version pinned in the Space repo, it does NOT upgrade the demo;
- synchronizes, tests, versions, and publishes the ComfyUI nodes.
Upgrading the Hugging Face Space is a separate, manual step: bump
`remove-ai-watermarks[visible,heif]` in `wiltodelta/raiw-hf-space` (`pyproject.toml`,
`uv lock`, and the re-exported `requirements.txt`), then push. That repository's
`sync-to-hf.yml` mirrors the files onto the Space, which rebuilds on the new
pin. Its callback smoke tests run in that repository's CI on every push; they
are the scenario check for the demo surface.
The workflow can also be started manually with an optional version input.
If a distribution job fails because a repository or Hugging Face credential is
@@ -116,4 +124,20 @@ After publication, verify:
- the Homebrew formula points to the new source distribution;
- the distribution workflow completed successfully;
- the ComfyUI Registry node requires the new library version;
- the Hugging Face Space serves the new release: its `requirements.txt` pin
matches (raw file via the HF API), the runtime stage is `RUNNING` after the
rebuild, and one live `identify` and one live `visible` API call succeed
against the running Space;
- a clean install can run `remove-ai-watermarks --version`.
A clean-install check run immediately after publication can fail with "no
version of remove-ai-watermarks==X.Y.Z" even though the simple index already
lists it: uv serves its cached pre-release view of the index. Re-run with a
fresh cache (`UV_CACHE_DIR=$(mktemp -d)`) before treating it as a release
failure.
The ComfyUI sync run can fail the same way on its own: it resolves the version
from the PyPI JSON API (which updates first) but installs the test dependency
with pip against the simple index, whose CDN edges lag by minutes. Rerun the
failed `distribute.yml` comfyui job once the simple index lists the release;
nothing about the release itself is wrong.
+15
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@@ -138,6 +138,20 @@ all-media watermark policy, and current OpenAI C2PA carrying an explicit
assert SynthID. After provenance metadata is removed, a local negative result
is still inconclusive.
Microsoft Paint can name `com.microsoft.invismark.1` in a C2PA soft-binding
assertion. Inspection reports both that exact algorithm and its signed `value`,
which Paint uses as the identifier carried by the pixel watermark, and emits an
additive `invismark` signal so callers can select pixel removal without parsing
the generic `soft_binding` detail. Photos uses a parallel local writer path.
Metadata stripping removes only the embedded manifest; `invisible` and `all`
guarantee the supported InvisMark removal contract by regenerating the pixel
layer as well. The project has no validated local InvisMark decoder, so local
inspection cannot independently verify the output. Microsoft's official
[Content Provenance Detection API](https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/how-to-provenance-detection)
is the external oracle: it reports pixel `Watermark` and embedded `C2PA` results
separately; a control-positive, output-negative pair is the available per-file
verification path.
For MP4, MOV, and M4V, `video invisible` or the explicit
`video all --invisible` option can regenerate the video through a VAE and strip
source metadata. The shipped profile is oracle-certified, but it is not a local
@@ -158,6 +172,7 @@ not a universal clean verdict.
| Google Gemini | Sparkle | Diffusion regeneration for SynthID | C2PA and related source signals |
| Google Veo video | Veo diamond and legacy text | Oracle-certified VAE removal for SynthID | C2PA and related source signals |
| OpenAI image generators | None registered | Diffusion regeneration for supported invisible signals | C2PA and generator provenance |
| Microsoft Paint and Photos | None registered | External Microsoft oracle for InvisMark; no validated local decoder | Paint C2PA soft-binding algorithm and identifier |
| Stable Diffusion and SDXL | None registered | Diffusion regeneration; optional open decoder | Embedded parameters and text metadata |
| FLUX | None registered | Diffusion regeneration; optional open decoder | C2PA for supported sources |
| Adobe Firefly | None registered | Optional TrustMark Variant P decoder | C2PA |
+8 -4
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@@ -186,10 +186,14 @@ report recall from the detector-sampled set.
## Tier D -- external oracles (manual, not automatable here)
SynthID removal cannot be verified locally by design -- no public decoder exists. Each
vendor has its own oracle and it covers only that vendor's content: `openai.com/verify` for
OpenAI (more accessible, the automation candidate), the Gemini app for Google (manual,
rate-limited). A quiet metadata proxy is **not** proof the pixel watermark is gone.
Proprietary watermark removal cannot be verified locally by design -- no public decoder
exists. Each vendor has its own oracle and it covers only that vendor's content:
`openai.com/verify` for OpenAI, the Gemini app for Google, and Microsoft's
[Content Provenance Detection API](https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/how-to-provenance-detection)
for InvisMark. The Microsoft API reports `Watermark` and `C2PA` separately. It therefore
needs a pixel-identical metadata-stripped control: the control must lose `C2PA` while
remaining `Watermark`-positive before a candidate's negative result can be attributed to
pixel regeneration. A quiet metadata proxy is **not** proof the pixel watermark is gone.
Scope honestly: this tier certifies strength floors on a handful of images per vendor, and
that is all it can do. See `docs/synthid.md`.
+2 -1
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@@ -65,7 +65,8 @@ payloads. Removal remuxes either container through ffmpeg with stream copy.
DWT-DCT decoder only applies when the producing pipeline actually ran its
encoder and the carrier remains decodable.
- **Invisible but NOT locally detectable (proprietary, API/oracle only — same wall as SynthID):** Amazon Titan Image Generator + Nova Canvas (Bedrock `DetectGeneratedContent` API), Kakao (new SynthID image adopter, May 2026), NVIDIA Cosmos (SynthID video). No local detector possible; treat like SynthID.
- **C2PA 2.4 "Durable Content Credentials" (April 2026; verified against the spec) raise the bar for metadata stripping.** 2.4 defines soft bindings (an invisible watermark or a content fingerprint) plus a server-side manifest repository and a new `c2pa.repository-receipt` assertion. Per the spec: "if a C2PA manifest is removed from an asset, but a copy of that manifest remains in a provenance store elsewhere, the manifest and asset may be matched using available soft bindings." So our local `metadata --remove` deletes the *embedded* manifest, but a fingerprint/watermark soft binding can still re-link the image to its manifest in a repository server-side. Stripping the file is becoming necessary-but-not-sufficient against durable provenance. (Our parsers target the stable embedded-manifest format documented in C2PA 2.1 §11; that format is unchanged in 2.4 -- the new pieces are repository/soft-binding infra, not the on-file box layout, so no parser change is implied.) Spec: https://spec.c2pa.org/specifications/specifications/2.4/specs/C2PA_Specification.html We now READ the soft-binding `alg` (`C2PA_SOFT_BINDINGS` / `soft_binding_vendors_in`) to name the forensic-watermark vendor, and locally DECODE the one open scheme, Adobe TrustMark (`trustmark_detector`); the rest (Digimarc/Imatag/Steg.AI/...) stay name-only (proprietary decoders).
- **C2PA 2.4 "Durable Content Credentials" (April 2026; verified against the spec) raise the bar for metadata stripping.** 2.4 defines soft bindings (an invisible watermark or a content fingerprint) plus a server-side manifest repository and a new `c2pa.repository-receipt` assertion. Per the spec: "if a C2PA manifest is removed from an asset, but a copy of that manifest remains in a provenance store elsewhere, the manifest and asset may be matched using available soft bindings." So our local `metadata --remove` deletes the *embedded* manifest, but a fingerprint/watermark soft binding can still re-link the image to its manifest in a repository server-side. Stripping the file is becoming necessary-but-not-sufficient against durable provenance. (Our parsers target the stable embedded-manifest format documented in C2PA 2.1 §11; that format is unchanged in 2.4 -- the new pieces are repository/soft-binding infra, not the on-file box layout, so no parser change is implied.) Spec: https://spec.c2pa.org/specifications/specifications/2.4/specs/C2PA_Specification.html We now READ the soft-binding `alg` (`C2PA_SOFT_BINDINGS` / `soft_binding_vendors_in`) to name the forensic-watermark vendor, preserve the structured assertion's signed `value`, and locally DECODE the one open scheme, Adobe TrustMark (`trustmark_detector`); the rest stay name-only unless a compatible decoder is independently verified.
- **Microsoft Paint and Photos InvisMark (reverse-engineered 2026-08-20):** Paint receives a per-generation GUID from remote prompt moderation, embeds it into locally generated pixels, and records the same value in `c2pa.soft-binding` under `com.microsoft.invismark.1`. The C2PA soft-binding registry independently identifies that algorithm as Microsoft Responsible AI InvisMark for image and video. Paint's 144-bit writer framing does not match the public repository's 100-bit pretrained checkpoint interface, so compatibility is not assumed. The parser reports the signed identifier; there is no validated local pixel decoder. Microsoft's external Content Provenance Detection API is the removal oracle because it reports `Watermark` separately from `C2PA`; a metadata-stripped, pixel-identical control must remain watermark-positive before an output-negative result is attributed to pixel removal. Sources: https://xusheng.dev/posts/reversing/mspaint_invisible_watermark/main/, https://github.com/c2pa-org/softbinding-algorithm-list/blob/main/softbinding-algorithm-list.json, and https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/how-to-provenance-detection
- **Built in the dated batch:** soft-binding vendor detection, IPTC Photo
Metadata AI-disclosure fields, C2PA detection and stripping for supported
ISOBMFF video, the optional Adobe TrustMark decoder, and temporally stabilized
+1 -1
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@@ -4,7 +4,7 @@
# on it, including the ComfyUI node package. The console script below carries
# the same weight, since users have it on PATH.
name = "remove-ai-watermarks"
version = "0.29.0"
version = "0.30.1"
description = "AI watermark remover for visible, invisible, and provenance marks in images and video"
readme = "README.md"
requires-python = ">=3.11,<3.15"
+1 -1
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@@ -32,7 +32,7 @@ _os.environ.setdefault("TRANSFORMERS_VERBOSITY", "error")
_warnings.filterwarnings("ignore", message=r".*ImageProcessorFast.*")
__version__ = "0.29.0"
__version__ = "0.30.1"
__all__ = [
"BatchSummary",
+22 -2
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@@ -305,9 +305,15 @@ def c2pa_info_has_invalid_credential(info: dict[str, Any]) -> bool:
return info.get("c2pa_integrity") == "invalid" or info.get("c2pa_signature") == "invalid"
def c2pa_info_has_invismark(info: dict[str, Any]) -> bool:
"""Return whether parsed C2PA info declares Microsoft InvisMark."""
soft_bindings = info.get("soft_binding_vendors")
return isinstance(soft_bindings, list) and "Microsoft InvisMark" in soft_bindings
def c2pa_info_has_removal_hint(info: dict[str, Any]) -> bool:
"""Return whether a C2PA AI or watermark claim should keep removal fail-safe."""
return bool(info.get("ai_source_kind") or info.get("synthid_watermark"))
return bool(info.get("ai_source_kind") or info.get("synthid_watermark") or c2pa_info_has_invismark(info))
def _has_suffix(codes: list[str], suffixes: tuple[str, ...]) -> bool:
@@ -390,6 +396,7 @@ def _structured_manifest_fields(store: dict[str, Any]) -> dict[str, Any]:
actions: list[str] = []
source_types: list[str] = []
soft_binding_algorithms: list[str] = []
soft_binding_values: list[str] = []
claim_generator_asserts_ai = False
def add_tool_matches(value: str, *, asserts_ai: bool = False) -> None:
@@ -431,9 +438,18 @@ def _structured_manifest_fields(store: dict[str, Any]) -> dict[str, Any]:
label = assertion.get("label")
data = assertion.get("data")
if isinstance(label, str) and label.startswith("c2pa.soft-binding") and isinstance(data, dict):
algorithm = cast("dict[object, object]", data).get("alg")
soft_binding = cast("dict[object, object]", data)
algorithm = soft_binding.get("alg")
if isinstance(algorithm, str):
soft_binding_algorithms.append(algorithm)
blocks = soft_binding.get("blocks")
if isinstance(blocks, list):
for block_value in cast("list[object]", blocks):
if not isinstance(block_value, dict):
continue
value = cast("dict[object, object]", block_value).get("value")
if isinstance(value, str) and value.isprintable() and len(value) <= 256:
soft_binding_values.append(value)
if not (isinstance(label, str) and label.startswith("c2pa.actions") and isinstance(data, dict)):
continue
action_values = cast("dict[object, object]", data).get("actions")
@@ -491,11 +507,15 @@ def _structured_manifest_fields(store: dict[str, Any]) -> dict[str, Any]:
info["synthid_watermark"] = synthid_verdict(", ".join(synthid))
if soft_binding_algorithms:
soft_binding_algorithms = list(dict.fromkeys(soft_binding_algorithms))
algorithms = "\n".join(soft_binding_algorithms).encode()
soft_bindings = soft_binding_vendors_in(algorithms)
if soft_bindings:
info["soft_binding_vendors"] = soft_bindings
info["soft_binding"] = ", ".join(soft_bindings)
info["soft_binding_algorithm"] = ", ".join(soft_binding_algorithms)
if soft_binding_values:
info["soft_binding_value"] = ", ".join(dict.fromkeys(soft_binding_values))
return info
+28 -2
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@@ -29,6 +29,7 @@ from typing import TYPE_CHECKING, Any, cast
from remove_ai_watermarks._internal.c2pa import (
c2pa_info_from_manifest_store,
c2pa_info_has_invalid_credential,
c2pa_info_has_invismark,
c2pa_info_has_removal_hint,
cbor_text_after,
extract_c2pa_info,
@@ -145,6 +146,10 @@ _C2PA_CLOUD_CAVEAT = (
"It marks Content Credentials, not AI origin: the cloud manifest may describe a "
"human edit, and reading it needs a network fetch this tool does not make."
)
_SOFT_BINDING_CAVEAT = (
"Removing the embedded C2PA manifest does not remove its soft binding: the named "
"watermark or fingerprint may remain in the pixels and re-link the asset to provenance."
)
_SAMSUNG_GENAI_CAVEAT = (
"Samsung's genAIType marker shows a Galaxy AI editing tool (Generative Edit, "
"Sketch to Image, ...) touched the image; it is an undocumented proprietary "
@@ -388,6 +393,8 @@ def evidence_from_metadata_record(
"actions",
"synthid_watermark",
"soft_binding",
"soft_binding_algorithm",
"soft_binding_value",
):
if key in c2pa_info:
ai_metadata.setdefault(key, str(c2pa_info[key]))
@@ -1269,12 +1276,31 @@ def _identify_from_evidence(
# the watermark itself can't be decoded; names whose watermark stamped the pixels.
soft_binding = meta.get("soft_binding") or (", ".join(v) if (v := soft_binding_vendors_in(region)) else None)
if soft_binding:
soft_binding_algorithm = meta.get("soft_binding_algorithm") or info.get("soft_binding_algorithm")
soft_binding_value = meta.get("soft_binding_value") or info.get("soft_binding_value")
soft_binding_details = "; ".join(
str(value) for value in (soft_binding, soft_binding_algorithm, soft_binding_value) if value
)
signals.append(
Signal(
"soft_binding", f"C2PA soft binding: {soft_binding}", "high" if c2pa_level == "verified" else "medium"
"soft_binding",
f"C2PA soft binding: {soft_binding_details}",
"high" if c2pa_level == "verified" else "medium",
)
)
watermarks.append(f"Forensic watermark soft binding ({soft_binding})")
if c2pa_info_has_invismark(info):
# Keep the generic soft-binding row for schema-1 compatibility, and add
# the pixel-removal target as its own stable signal for clients that need
# to select diffusion without parsing human-readable detail.
signals.append(
Signal(
"invismark",
f"Microsoft InvisMark pixel watermark: {soft_binding_details}",
"high" if c2pa_level == "verified" else "medium",
)
)
watermarks.append(f"Forensic watermark soft binding ({soft_binding_details})")
caveats.append(_SOFT_BINDING_CAVEAT)
# ── IPTC "Made with AI" (Meta etc.), only meaningful without C2PA ─
iptc = any(m in head for m in IPTC_AI_MARKERS)
+2
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@@ -1160,6 +1160,8 @@ def get_ai_metadata(image_path: Path) -> dict[str, str]:
"actions",
"synthid_watermark",
"soft_binding",
"soft_binding_algorithm",
"soft_binding_value",
"c2pa_validation_source",
"c2pa_validation_state",
"c2pa_integrity",
+33
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@@ -1144,6 +1144,39 @@ class TestIdentifySoftBinding:
assert any("Digimarc" in w for w in r.watermarks)
assert any(s.name == "soft_binding" for s in r.signals)
def test_invismark_signal_lists_signed_watermark_id(self, tmp_path: Path):
watermark_id = "83424621-03cb-40e3-9808-a9fae837156d"
record = {
"c2pa_store": {
"active_manifest": "paint",
"manifests": {
"paint": {
"assertions": [
{
"label": "c2pa.soft-binding",
"data": {
"alg": "com.microsoft.invismark.1",
"blocks": [{"scope": "the entire image", "value": watermark_id}],
},
}
]
}
},
}
}
evidence = evidence_from_metadata_record(record, path=tmp_path / "paint.png")
report = identify_from_evidence(evidence)
assert evidence.ai_metadata["soft_binding_value"] == watermark_id
signal = next(signal for signal in report.signals if signal.name == "soft_binding")
assert "com.microsoft.invismark.1" in signal.detail
assert watermark_id in signal.detail
invismark = next(signal for signal in report.signals if signal.name == "invismark")
assert "com.microsoft.invismark.1" in invismark.detail
assert watermark_id in invismark.detail
assert any("may remain in the pixels" in caveat for caveat in report.caveats)
class TestIdentifyIptcAi:
"""IPTC 2025.1 AISystemUsed drives an AI verdict + platform attribution."""
+63
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@@ -13,6 +13,8 @@ from PIL import Image
from remove_ai_watermarks._internal.c2pa import (
_parse_c2pa_chunk,
c2pa_info_from_manifest_store,
c2pa_info_has_invismark,
c2pa_info_has_removal_hint,
cbor_text_after,
extract_c2pa_chunk,
extract_c2pa_info,
@@ -209,6 +211,67 @@ class TestC2PA:
assert info["ai_tool"] == "Dreamina"
assert info["c2pa_identity_ai"] is True
def test_structured_invismark_exposes_algorithm_and_watermark_id(self):
watermark_id = "83424621-03cb-40e3-9808-a9fae837156d"
store = {
"active_manifest": "paint",
"manifests": {
"paint": {
"assertions": [
{
"label": "c2pa.soft-binding",
"data": {
"alg": "com.microsoft.invismark.1",
"blocks": [
{
"scope": "the entire image",
"value": watermark_id,
}
],
},
}
]
}
},
}
info = c2pa_info_from_manifest_store(store)
assert info["soft_binding"] == "Microsoft InvisMark"
assert info["soft_binding_algorithm"] == "com.microsoft.invismark.1"
assert info["soft_binding_value"] == watermark_id
def test_soft_binding_value_requires_its_algorithm(self):
store = {
"active_manifest": "broken",
"manifests": {
"broken": {
"assertions": [
{
"label": "c2pa.soft-binding",
"data": {"blocks": [{"value": "not-attributable"}]},
}
]
}
},
}
assert "soft_binding_value" not in c2pa_info_from_manifest_store(store)
def test_soft_binding_keeps_invisible_removal_fail_safe(self):
info = {"soft_binding_vendors": ["Microsoft InvisMark"]}
assert c2pa_info_has_invismark(info) is True
assert c2pa_info_has_removal_hint(info) is True
def test_content_fingerprint_does_not_trigger_invisible_removal(self):
info = {
"soft_binding": "Adobe (content fingerprint)",
"soft_binding_vendors": ["Adobe (content fingerprint)"],
}
assert c2pa_info_has_removal_hint(info) is False
def test_invalid_ingredient_does_not_taint_active_validation_or_supply_claims(self):
store = {
"active_manifest": "update",
Generated
+223 -182
View File
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