Batch Dependabot updates (#42 #52 #53 #55-57 #60-66)

.github/workflows/release-images.yml

@@ -18,7 +18,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-      - uses: docker/setup-buildx-action@37fe631027851001ddb9b187196cc803df7f5f0e # v4.3.0
+      - uses: docker/setup-buildx-action@f87e5991a6d7451dcb8d9637bfbc97413f497069 # v4.4.1
       - uses: docker/login-action@dbcb813823bdd20940b903addbd779551569679f # v4.6.0
         with:
           registry: ghcr.io
@@ -36,7 +36,7 @@ jobs:
           TAG="$REF_NAME"
           echo "tags=ghcr.io/pymodel/watermark-remover:${TAG},ghcr.io/pymodel/watermark-remover:latest" >> "$GITHUB_OUTPUT"
           echo "version=${TAG#v}" >> "$GITHUB_OUTPUT"
-      - uses: docker/build-push-action@53b7df96c91f9c12dcc8a07bcb9ccacbed38856a # v7.3.0
+      - uses: docker/build-push-action@c3c9e263c25d99ce0380d002d59b67737d91b0dc # v7.4.0
         with:
           context: .
           file: Dockerfile
@@ -63,7 +63,7 @@ jobs:
             tag: markdiffusion
     steps:
       - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-      - uses: docker/setup-buildx-action@37fe631027851001ddb9b187196cc803df7f5f0e # v4.3.0
+      - uses: docker/setup-buildx-action@f87e5991a6d7451dcb8d9637bfbc97413f497069 # v4.4.1
       - uses: docker/login-action@dbcb813823bdd20940b903addbd779551569679f # v4.6.0
         with:
           registry: ghcr.io
@@ -80,7 +80,7 @@ jobs:
           fi
           TAG="$REF_NAME"
           echo "tags=ghcr.io/pymodel/watermark-remover:${{ matrix.tag }}-${TAG},ghcr.io/pymodel/watermark-remover:${{ matrix.tag }}-latest" >> "$GITHUB_OUTPUT"
-      - uses: docker/build-push-action@53b7df96c91f9c12dcc8a07bcb9ccacbed38856a # v7.3.0
+      - uses: docker/build-push-action@c3c9e263c25d99ce0380d002d59b67737d91b0dc # v7.4.0
         with:
           context: .
           file: ${{ matrix.dockerfile }}

Dockerfile.markllm

@@ -53,7 +53,7 @@ COPY skills/remove-ai-marks/scripts/common.py /app/common.py
 # the remaining pinned deps then resolve against it. No GPU wheel index inside
 # the image — CUDA users should run setup_markllm.sh on the host instead.
 RUN python3 -m pip install --no-cache-dir "pip==26.2.1" \
-    && python3 -m pip install --no-cache-dir --index-url https://download.pytorch.org/whl/cpu "torch>=2.13,<2.14" \
+    && python3 -m pip install --no-cache-dir --index-url https://download.pytorch.org/whl/cpu "torch>=2.14,<2.15" \
     && python3 -m pip install --no-cache-dir -r /app/requirements-markllm.txt
 
 # Unprivileged runtime user. The harness only reads input files and writes to

requirements-demo.txt

@@ -1 +1 @@
-gradio>=6.26.0,<7
+gradio>=6.28.0,<7

requirements-test.txt

@@ -1,6 +1,6 @@
 # Test/lint dependencies for local dev and CI.
 pytest>=9.1.1,<10
-pypdf>=6.16.2,<7
-ruff>=0.16.6,<1
+pypdf>=6.19.0,<7
+ruff>=0.16.8,<1
 # OpenAPI contract validation for wm-serve (CI validates /openapi.json).
 openapi-spec-validator==0.9.0

skills/remove-ai-marks/scripts/requirements-ctrlregen.txt

@@ -19,14 +19,14 @@
 # merge these pins into the core requirements or the Docker images, and
 # run a scoped pip-audit against this file if you need a report.
 diffusers==0.40.0
-transformers==5.16.1
+transformers==5.17.0
 accelerate==1.15.0
 controlnet-aux==0.0.10
 color-matcher==0.6.0
 safetensors==0.8.0
 # huggingface_hub must stay <=0.25.0: 0.26.0+ removed the cached_download
 # symbol that diffusers 0.27.2 still imports. Unpinned, pip resolves latest
 # (0.36.2) and the backend fails to import.
-huggingface_hub==1.30.0
+huggingface_hub==1.32.0
 Pillow==12.3.0
 piexif==1.1.3

skills/remove-ai-marks/scripts/requirements-markllm.txt

@@ -10,12 +10,14 @@
 #
 # Pillow is pinned to 12.3.0 (same as requirements-synthid-scorer.txt) for
 # the 24 known CVEs fixed after the upstream 9.4.0 pin.
-# torch is pinned with a wildcard so a platform wheel (e.g. 2.13.0+cpu from
-# the CPU index, or 2.13.0+cuXXX from a GPU index) satisfies it. Installers
+# torch is pinned without a local label, so a platform wheel (e.g. 2.14.0+cpu
+# from the CPU index, or 2.14.0+cuXXX from a GPU index) satisfies it (PEP 440
+# ignores the candidate's local label). No ".*" wildcard: dependency review
+# cannot parse one and matches every old torch advisory against it. Installers
 # pick the right index first (Dockerfile.markllm: CPU; setup_markllm.sh:
 # GPU when nvidia-smi is present), then this file's remaining pins resolve
 # against the already-installed torch.
-torch==2.13.0.*
+torch==2.14.0
 transformers==5.16.1
 # transformers 5.15.0 caps tokenizers at <=0.23.0; there is no 0.23.0
 # release (0.22.2 -> 0.23.1), so the highest compatible pin is 0.22.2.
@@ -25,10 +27,10 @@ accelerate==1.15.0
 SentencePiece==0.2.2
 nltk==3.10.3
 jieba==0.42.1
-tqdm==4.70.0
-matplotlib==3.11.1
+tqdm==4.70.1
+matplotlib==3.11.2
 Cython==3.3.0
-numpy==2.5.2
+numpy==2.5.3
 scipy==1.18.1
-huggingface_hub==1.30.0
+huggingface_hub==1.32.0
 Pillow==12.3.0

skills/remove-ai-marks/scripts/requirements-synthid-scorer.txt

@@ -9,9 +9,9 @@
 # Pillow was bumped 10.4.0 -> 12.3.0 for PYSEC-2026-165/2249-2257/2874/3451-3456
 # (24 known CVEs, e.g. CVE-2026-* image parsing). The pinned upstream commit
 # (b1108367) only uses stable Pillow APIs (Image.fromarray/open/convert).
-numpy==2.5.2
+numpy==2.5.3
 scipy==1.18.1
 opencv-python==5.0.0.93
-PyWavelets==1.9.0
-scikit-learn==1.9.0
+PyWavelets==1.10.0
+scikit-learn==1.9.1
 Pillow==12.3.0