From 9f6c26a43962452f493a9322a6cbab9268c98432 Mon Sep 17 00:00:00 2001 From: Victor Kuznetsov Date: Thu, 18 Jun 2026 17:24:58 -0700 Subject: [PATCH] refactor(c2pa): read manifests via official c2pa-python, keep byte-scan fallback extract_c2pa_info now uses the c2pa-python Reader first (any container, whole manifest store incl. ingredient manifests), falling back to the hand-rolled caBX parser for blobs the validator rejects (synthetic/partial, broken wheel). The issuer/source-type/SynthID/soft-binding registry scan is shared by both paths (_populate_registry_fields), so the return-dict contract is unchanged. Also replaces the dead `from c2pa import has_c2pa_metadata` import in metadata.py with a real Reader presence check. c2pa-python added as a core dep (MIT/Apache, ~+5MB RSS, no torch; wheels cover the CI matrix). Validated on the full local spaces corpus (25,725 imgs): 0 regressions; 384 manifests newly parsed (379 non-PNG JPEG/WebP + 2 PNGs the byte-scanner missed); 3 false Adobe/Microsoft->Google attributions fixed via real-manifest parsing. The docs/module-internals.md section for this change already landed in 41f6797. Co-Authored-By: Claude Opus 4.8 --- CLAUDE.md | 2 +- pyproject.toml | 7 + src/remove_ai_watermarks/metadata.py | 16 +- src/remove_ai_watermarks/noai/c2pa.py | 266 ++++++++++++++++++++------ tests/test_noai.py | 23 +++ uv.lock | 194 +++++++++++++++++++ 6 files changed, 438 insertions(+), 70 deletions(-) diff --git a/CLAUDE.md b/CLAUDE.md index 38e95bb..4d70f61 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -50,7 +50,7 @@ Consequences for contributors (do not drift back into the stock niche just becau Compact map. The full per-module detail (design decisions, tuned thresholds, calibration history, incident records, and the regression-guard map) lives in `docs/module-internals.md` — **read the relevant section there before changing any module below.** -- `noai/c2pa.py` — PNG caBX chunk parser (`extract_c2pa_chunk` / `has_c2pa_metadata` / `extract_c2pa_info`). Do not reimplement chunk parsing; chunk reads are clamped to the remaining file size by design. +- `noai/c2pa.py` — C2PA reading. `extract_c2pa_info(path)` uses the official **c2pa-python `Reader`** first (core dep, any container; `read_manifest_store_json` returns the WHOLE store JSON — active + ingredient manifests — so an AI marker on a parent manifest is seen), and falls back to the hand-rolled caBX/CBOR parser (`has_c2pa_metadata` / `extract_c2pa_chunk` / `_extract_c2pa_info_png`) for synthetic/partial blobs the validator rejects or a broken/absent wheel. The registry scan (issuer / source-type / SynthID / soft-binding) is shared by both paths via `_populate_registry_fields`, so the return-dict shape is identical. Do not reimplement chunk parsing; chunk reads are clamped to the remaining file size by design. `extract_c2pa_chunk`/`inject_c2pa_chunk` stay PNG-only (raw caBX bytes, test/extractor use). - `noai/constants.py` — the single `C2PA_AI_VENDORS` registry (+ `C2PA_SOFT_BINDINGS`) from which `C2PA_ISSUERS` / `SYNTHID_C2PA_ISSUERS` / `identify._ISSUER_PLATFORM` are all derived. Add a new vendor as one registry entry; never edit the derived dicts and never add inline. - `metadata.py` — `scan_head(path)` is the shared (memoized) input for every C2PA/AIGC/IPTC byte scan; use it instead of `open().read(1MB)` for any new marker scan. Also home to `synthid_source`, `xai_signature`, `iptc_ai_system`, `aigc_label`, `huggingface_job`, `samsung_genai`, and `remove_ai_metadata` (fail-safe `strip_c2pa_boxes`). - `identify.py` — aggregates every locally-readable signal into one `ProvenanceReport`; `is_ai_generated` is True or None, never asserted False. `import identify` is deliberately light (lazy `noai/__init__`, fits a 512 MB host) — keep heavy imports out. Add capture-camera tokens to `_DEVICE_C2PA_PLATFORM` only when verified against a real C2PA file; editing-app/AI-device signer tokens go to `_SIGNER_C2PA_PLATFORM`; generator/issuer platforms to `C2PA_AI_VENDORS` in `constants.py`. Integrity-clash detection is high-precision by design (only hard generator stamps feed it, source-grouped independence). diff --git a/pyproject.toml b/pyproject.toml index 42840b4..d0055f8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -51,6 +51,13 @@ dependencies = [ "opencv-python-headless>=4.8.0", "click>=8.0.0", "python-dotenv>=1.0.0", + # Official C2PA reader (Content Authenticity Initiative, MIT/Apache-2.0). The + # primary, spec-tracking manifest parser for the identify/metadata path; the + # hand-rolled caBX/CBOR scanner in noai/c2pa.py is kept only as a fallback for + # synthetic/partial blobs the validator rejects. Binary wheel (Rust), but the + # import is light (no torch/numpy) so it fits the dependency-light identify + # host. Prebuilt wheels cover the full CI matrix (linux/macos/windows). + "c2pa-python>=0.35.0", ] [project.optional-dependencies] diff --git a/src/remove_ai_watermarks/metadata.py b/src/remove_ai_watermarks/metadata.py index e429c3e..a94a79c 100644 --- a/src/remove_ai_watermarks/metadata.py +++ b/src/remove_ai_watermarks/metadata.py @@ -297,17 +297,13 @@ def has_ai_metadata(image_path: Path) -> bool: except Exception as exc: logger.debug("PIL could not open %s for metadata scan: %s", image_path, exc) - # Check C2PA — via the official ``c2pa`` lib if available, otherwise via a - # binary scan that also catches AVIF/HEIF/JPEG-XL containers (PIL doesn't - # expose their metadata uniformly). - try: - # optional official lib, not a declared dep -> falls back to the binary scan - from c2pa import has_c2pa_metadata # pyright: ignore[reportMissingImports, reportUnknownVariableType] + # Check C2PA — via the official c2pa-python reader first (spec-tracking, every + # container it supports), then a binary scan that also catches AVIF/HEIF/JPEG-XL + # containers and synthetic/partial blobs the validator rejects. + from remove_ai_watermarks.noai.c2pa import read_manifest_store_json - if has_c2pa_metadata(image_path): - return True - except ImportError: - pass + if read_manifest_store_json(image_path) is not None: + return True # Binary scan covers C2PA (PNG caBX, JPEG APP11, AVIF/HEIF/JXL uuid boxes) # and IPTC AI markers in XMP. First 512KB (plus late ISOBMFF provenance boxes). diff --git a/src/remove_ai_watermarks/noai/c2pa.py b/src/remove_ai_watermarks/noai/c2pa.py index 4bb1e0f..8b882af 100644 --- a/src/remove_ai_watermarks/noai/c2pa.py +++ b/src/remove_ai_watermarks/noai/c2pa.py @@ -1,8 +1,11 @@ """C2PA (Coalition for Content Provenance and Authenticity) metadata handling. -C2PA metadata is embedded in PNG files as a JUMBF container chunk -(``caBX``). This module can detect, extract, and re-inject those -chunks. Supported issuers: +Reading goes through the official c2pa-python ``Reader`` first (any container it +supports), via ``extract_c2pa_info`` / ``read_manifest_store_json``. The +hand-rolled PNG ``caBX`` JUMBF-chunk tools below (``has_c2pa_metadata`` / +``extract_c2pa_chunk`` / ``inject_c2pa_chunk`` and the ``_extract_c2pa_info_png`` +fallback) cover raw-chunk extraction, re-injection, and the cases the validator +rejects (synthetic/partial blobs, a broken/absent wheel). Known issuers: - Google Imagen - Adobe Firefly @@ -10,17 +13,22 @@ chunks. Supported issuers: - OpenAI (ChatGPT, GPT-4o, Sora, DALL-E) - Truepic (signing authority) -The parser uses byte-level scanning — it does not validate JUMBF/CBOR -structure but reliably identifies known signatures, issuers, tools, -and actions. +The fallback parser uses byte-level scanning — it does not validate JUMBF/CBOR +structure but reliably identifies known signatures, issuers, tools, and actions. +The vendor / source-type / SynthID / soft-binding registry scan +(``_populate_registry_fields``) is shared by both the reader and fallback paths. """ from __future__ import annotations +import contextlib +import functools +import json +import logging import re import struct from pathlib import Path -from typing import Any +from typing import Any, cast from remove_ai_watermarks.noai.constants import ( C2PA_ACTIONS, @@ -33,6 +41,72 @@ from remove_ai_watermarks.noai.constants import ( SYNTHID_C2PA_ISSUERS, ) +log = logging.getLogger(__name__) + +# Official C2PA reader (c2pa-python, a core dependency). It is the primary, +# spec-tracking manifest parser; the hand-rolled caBX/CBOR scanner below stays as +# a fallback for synthetic/partial blobs the validator rejects. The import is +# guarded so a partially-broken install degrades to the byte-scan rather than +# crashing the dependency-light identify path. +_C2paReader: Any = None +with contextlib.suppress(Exception): # broken/absent wheel -> byte-scan fallback + from c2pa import Reader as _C2paReader # pyright: ignore[reportMissingTypeStubs] +_C2PA_READER_AVAILABLE = _C2paReader is not None + + +def reader_available() -> bool: + """True when the official c2pa-python Reader imported successfully.""" + return _C2PA_READER_AVAILABLE + + +def read_manifest_store_json(image_path: Path) -> str | None: + """Return the full C2PA manifest-store JSON for ``image_path``, or None. + + Uses the official c2pa-python ``Reader`` (any container it supports: PNG, + JPEG, WebP, AVIF/HEIF, MP4, ...). Returns None when the reader is unavailable, + the file carries no parseable manifest, or parsing fails. The JSON is the + WHOLE store (every manifest plus ingredient manifests), matching the + whole-chunk semantics of the legacy byte scan -- an AI-source marker in a + parent/ingredient manifest (e.g. a ChatGPT edit of a Sora generation) is + still seen. + + Memoized per (path, mtime): one identify/get_ai_metadata call invokes the + structured parser ~3 times on the same file, so the cache turns the repeated + crypto-validating reads into one. + """ + if not _C2PA_READER_AVAILABLE: + return None + try: + mtime = image_path.stat().st_mtime_ns + except OSError: + return _read_manifest_store_impl(str(image_path)) + return _read_manifest_store_cached(str(image_path), mtime) + + +@functools.lru_cache(maxsize=8) +def _read_manifest_store_cached(path_str: str, _mtime_ns: int) -> str | None: + """Cache shim: ``_mtime_ns`` is part of the key only (invalidates on change).""" + return _read_manifest_store_impl(path_str) + + +def _read_manifest_store_impl(path_str: str) -> str | None: + # try_create returns None when there is no manifest; a default Reader does no + # trust enforcement, so an untrusted signer still yields the manifest content + # (we report what is in the file, we do not gate on certificate trust). + try: + reader = _C2paReader.try_create(path_str) + except Exception as exc: # malformed manifest, unsupported container, etc. + log.debug("c2pa Reader could not parse %s: %s", path_str, exc) + return None + if reader is None: + return None + try: + with reader: + return reader.json() + except Exception as exc: # pragma: no cover - reader opened but json() failed + log.debug("c2pa Reader.json() failed on %s: %s", path_str, exc) + return None + def has_c2pa_metadata(image_path: Path) -> bool: """ @@ -90,16 +164,83 @@ def has_c2pa_metadata(image_path: Path) -> bool: return False +def _claim_generator_from_store(store: dict[str, Any]) -> str | None: + """Structured claim-generator name from the active manifest of a store dict. + + Prefers the top-level ``claim_generator`` string (Firefly: "Adobe_Firefly"), + falling back to the first ``claim_generator_info[].name`` (ChatGPT keys it + only there). isprintable() guards against odd binary-ish values. + """ + active = _active_manifest(store) + generator: Any = active.get("claim_generator") + if not (isinstance(generator, str) and generator): + info_list: list[Any] = active.get("claim_generator_info") or [] + if info_list and isinstance(first := info_list[0], dict): + generator = cast("dict[str, Any]", first).get("name") + return generator if isinstance(generator, str) and generator and generator.isprintable() else None + + +def _active_manifest(store: dict[str, Any]) -> dict[str, Any]: + """The active manifest dict from a manifest-store dict, or {} when absent.""" + manifests: Any = store.get("manifests") + if not isinstance(manifests, dict): + return {} + active = cast("dict[str, Any]", manifests).get(store.get("active_manifest", "")) + return cast("dict[str, Any]", active) if isinstance(active, dict) else {} + + +def _info_from_store_json(store_json: str) -> dict[str, Any]: + """Build the C2PA info dict from a c2pa-python manifest-store JSON string.""" + store_bytes = store_json.encode("utf-8") + c2pa_info: dict[str, Any] = { + "has_c2pa": True, + "type": "C2PA (Coalition for Content Provenance and Authenticity)", + "c2pa_manifest": f"C2PA manifest store ({len(store_bytes)} bytes)", + } + # The whole-store JSON carries every vendor / source-type / SynthID / + # soft-binding signature (across active + ingredient manifests), so the same + # registry scan that runs on the raw caBX chunk applies unchanged here. + _populate_registry_fields(store_bytes, c2pa_info) + + try: + parsed: Any = json.loads(store_json) + except (ValueError, TypeError): + return c2pa_info + if not isinstance(parsed, dict): + return c2pa_info + store = cast("dict[str, Any]", parsed) + if generator := _claim_generator_from_store(store): + c2pa_info["claim_generator"] = generator + sig: Any = _active_manifest(store).get("signature_info") + if isinstance(sig, dict) and (time := cast("dict[str, Any]", sig).get("time")): + c2pa_info["timestamp"] = str(time) + return c2pa_info + + def extract_c2pa_info(image_path: Path) -> dict[str, Any]: """ - Extract basic C2PA metadata information from an image. + Extract C2PA metadata information from an image. + + Uses the official c2pa-python reader first (any supported container), falling + back to the hand-rolled PNG caBX parser when the reader is unavailable or the + file carries no parseable manifest (synthetic/partial blobs). Args: image_path: Path to the image file. Returns: - Dictionary containing C2PA metadata info. + Dictionary containing C2PA metadata info, or {} when none is found. """ + image_path = Path(image_path) + + if (store_json := read_manifest_store_json(image_path)) is not None: + return _info_from_store_json(store_json) + + return _extract_c2pa_info_png(image_path) + + +def _extract_c2pa_info_png(image_path: Path) -> dict[str, Any]: + """Fallback PNG caBX parser, used when the c2pa-python reader finds nothing.""" c2pa_info: dict[str, Any] = {} if not has_c2pa_metadata(image_path): @@ -199,25 +340,66 @@ def soft_binding_vendors_in(buffer: bytes) -> list[str]: return sorted({name for sig, name in C2PA_SOFT_BINDINGS.items() if sig in buffer}) +def _populate_registry_fields(buf: bytes, c2pa_info: dict[str, Any]) -> bool: + """Populate the registry-driven C2PA fields by scanning ``buf``. + + Shared by the legacy caBX-chunk parser and the c2pa-python store-JSON path so + both produce an identical dict shape. ``buf`` is the raw manifest bytes for + the former and the manifest-store JSON (UTF-8) for the latter; the vendor / + tool / action / source-type / SynthID / soft-binding signatures appear in + both. Sets ``issuer``, ``ai_tool``, ``actions``, ``source_type``, + ``synthid_vendors`` / ``synthid_watermark``, ``soft_binding_vendors`` / + ``soft_binding`` when present and returns whether the source type is AI. + """ + if issuers := [name for sig, name in C2PA_ISSUERS.items() if sig in buf]: + c2pa_info["issuer"] = ", ".join(dict.fromkeys(issuers)) + + if ai_tools := [name for sig, name in C2PA_AI_TOOLS.items() if sig in buf]: + c2pa_info["ai_tool"] = ", ".join(dict.fromkeys(ai_tools)) + + if actions := [name for sig, name in C2PA_ACTIONS.items() if sig in buf]: + c2pa_info["actions"] = ", ".join(actions) + + # Digital source type (matched anywhere in the store, including ingredient + # manifests -- a ChatGPT edit of a Sora generation carries the AI marker on + # the parent, not the active manifest). + ai_source = False + if b"trainedAlgorithmicMedia" in buf: + c2pa_info["source_type"] = "trainedAlgorithmicMedia (AI-generated)" + ai_source = True + elif b"algorithmicMedia" in buf: + c2pa_info["source_type"] = "algorithmicMedia" + elif b"compositeWithTrainedAlgorithmicMedia" in buf: + c2pa_info["source_type"] = "compositeWithTrainedAlgorithmicMedia (AI-enhanced)" + ai_source = True + + # SynthID pixel-watermark proxy: a C2PA manifest from a SynthID-using + # vendor (Google/OpenAI) on AI-generated content implies an invisible + # SynthID watermark in the pixels (see SYNTHID_C2PA_ISSUERS). + synthid_vendors = synthid_vendors_in(buf) + if synthid_vendors and ai_source: + c2pa_info["synthid_vendors"] = synthid_vendors + c2pa_info["synthid_watermark"] = synthid_verdict(", ".join(synthid_vendors)) + + # Soft-binding: a forensic/third-party watermark vendor named in the + # manifest (Adobe TrustMark, Digimarc, ...), independent of the issuer. + soft_binding_vendors = soft_binding_vendors_in(buf) + if soft_binding_vendors: + c2pa_info["soft_binding_vendors"] = soft_binding_vendors + c2pa_info["soft_binding"] = ", ".join(soft_binding_vendors) + + return ai_source + + def _parse_c2pa_chunk(chunk_data: bytes, c2pa_info: dict[str, Any]) -> None: - """Parse C2PA chunk data and populate info dictionary.""" + """Parse a raw caBX chunk payload and populate the info dictionary. + + The fallback path, used when the official c2pa-python reader is unavailable + or rejects the file (synthetic/partial blobs, broken installs). + """ c2pa_info["c2pa_manifest"] = f"C2PA manifest ({len(chunk_data)} bytes)" - # Find issuers - issuers: list[str] = [] - for sig, name in C2PA_ISSUERS.items(): - if sig in chunk_data: - issuers.append(name) - if issuers: - c2pa_info["issuer"] = ", ".join(set(issuers)) - - # Find AI tools - ai_tools: list[str] = [] - for sig, name in C2PA_AI_TOOLS.items(): - if sig in chunk_data: - ai_tools.append(name) - if ai_tools: - c2pa_info["ai_tool"] = ", ".join(set(ai_tools)) + _populate_registry_fields(chunk_data, c2pa_info) # Claim generator and spec version: read the CBOR text-string values # directly (regex byte-grabbing produced artifacts like ``fGPT-4o``). @@ -229,14 +411,6 @@ def _parse_c2pa_chunk(chunk_data: bytes, c2pa_info: dict[str, Any]) -> None: if (spec := cbor_text_after(chunk_data, b"specVersion")) and spec.isprintable(): c2pa_info["c2pa_spec"] = spec - # Find actions - actions: list[str] = [] - for sig, name in C2PA_ACTIONS.items(): - if sig in chunk_data: - actions.append(name) - if actions: - c2pa_info["actions"] = ", ".join(actions) - # Find timestamps timestamp_matches = re.findall(rb"(\d{14}Z)", chunk_data) if timestamp_matches: @@ -244,32 +418,6 @@ def _parse_c2pa_chunk(chunk_data: bytes, c2pa_info: dict[str, Any]) -> None: if len(timestamp_matches) > 1: c2pa_info["timestamps"] = [t.decode("utf-8") for t in timestamp_matches[:3]] - # Find digital source type - ai_source = False - if b"trainedAlgorithmicMedia" in chunk_data: - c2pa_info["source_type"] = "trainedAlgorithmicMedia (AI-generated)" - ai_source = True - elif b"algorithmicMedia" in chunk_data: - c2pa_info["source_type"] = "algorithmicMedia" - elif b"compositeWithTrainedAlgorithmicMedia" in chunk_data: - c2pa_info["source_type"] = "compositeWithTrainedAlgorithmicMedia (AI-enhanced)" - ai_source = True - - # SynthID pixel-watermark proxy: a C2PA manifest from a SynthID-using - # vendor (Google/OpenAI) on AI-generated content implies an invisible - # SynthID watermark in the pixels (see SYNTHID_C2PA_ISSUERS). - synthid_vendors = synthid_vendors_in(chunk_data) - if synthid_vendors and ai_source: - c2pa_info["synthid_vendors"] = synthid_vendors - c2pa_info["synthid_watermark"] = synthid_verdict(", ".join(synthid_vendors)) - - # Soft-binding: a forensic/third-party watermark vendor named in the - # manifest (Adobe TrustMark, Digimarc, ...), independent of the issuer. - soft_binding_vendors = soft_binding_vendors_in(chunk_data) - if soft_binding_vendors: - c2pa_info["soft_binding_vendors"] = soft_binding_vendors - c2pa_info["soft_binding"] = ", ".join(soft_binding_vendors) - def extract_c2pa_chunk(image_path: Path) -> bytes | None: """ diff --git a/tests/test_noai.py b/tests/test_noai.py index 37238d3..d1a846f 100644 --- a/tests/test_noai.py +++ b/tests/test_noai.py @@ -182,6 +182,29 @@ class TestC2PARealSamples: assert has_c2pa_metadata(out) assert "OpenAI" in extract_c2pa_info(out)["issuer"] + def test_extract_info_uses_reader_store(self): + """The c2pa-python reader path: structured (not heuristic) extraction.""" + from remove_ai_watermarks.noai import c2pa + + assert c2pa.reader_available() + info = extract_c2pa_info(SAMPLES_DIR / "chatgpt-1.png") + # The store-JSON label proves the reader path served this, not the + # caBX-chunk fallback ("C2PA manifest (...)"). + assert info["c2pa_manifest"].startswith("C2PA manifest store") + # Structured claim generator is exact, not a CBOR-scanned best-effort. + assert info["claim_generator"] == "ChatGPT" + + def test_fallback_to_png_parser_when_reader_unavailable(self, monkeypatch): + """With the reader disabled, the hand-rolled PNG parser still works.""" + from remove_ai_watermarks.noai import c2pa + + monkeypatch.setattr(c2pa, "_C2PA_READER_AVAILABLE", False) + info = extract_c2pa_info(SAMPLES_DIR / "chatgpt-1.png") + assert info["c2pa_manifest"].startswith("C2PA manifest (") # chunk path + assert "OpenAI" in info["issuer"] + assert "trainedAlgorithmicMedia" in info["source_type"] + assert "synthid_watermark" in info + class TestC2PAInjectValidation: def test_inject_rejects_non_png(self, tmp_path): diff --git a/uv.lock b/uv.lock index dbac2cf..20dd7df 100644 --- a/uv.lock +++ b/uv.lock @@ -246,6 +246,29 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/64/b4/17d4b0b2a2dc85a6df63d1157e028ed19f90d4cd97c36717afef2bc2f395/attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309", size = 67548, upload-time = "2026-03-19T14:22:23.645Z" }, ] +[[package]] +name = "c2pa-python" +version = "0.35.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = 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