chore(deps): Bump Microsoft.ML.OnnxRuntime from 1.27.1 to 1.28.0

[dependabot]

Updated Microsoft.ML.OnnxRuntime from 1.27.1 to 1.28.0.

Release notes

Sourced from Microsoft.ML.OnnxRuntime's releases.

1.28.0

Announcements & Breaking Changes

• Upgraded to ONNX 1.22.0 and protobuf 6.33.5 (#​28754, #​29606, #​28967). Graph optimizer opset version checks were updated accordingly (#​28966).
• cuDNN and cuFFT are now optional at runtime for the CUDA EP, and nvrtc is no longer linked, which significantly reduces the required CUDA redistributable footprint (#​29252, #​29808, #​29705, #​29620).
• An experimental C/C++ API surface was introduced. OrtModelPackageApi now lives in the experimental C API and may change in future releases (#​28746, #​29142, #​28990).
• Deprecated / removed:
  • SkipLayerNorm strict mode is deprecated (#​29388).
  • The TensorRT fused causal attention kernels were removed from the CUDA EP (#​29143).
  • The dynamic WGSL generator (duktape/Node) path was removed in favor of the Python wgsl-gen implementation (#​29141, #​28355).
  • CUDA_QUANT_PREPROCESS is off by default (#​29687).
• NPM packages are now published from the CUDA 13 pipeline (#​28773).
• The CUDA 12.8 package architecture list was refreshed for this release (#​29711).

Security Fixes

Memory safety & input validation

• Hardened the ORT FlatBuffer model loader against malformed buffers, and removed now-redundant table offset validation (#​28186, #​29068)
• Fixed type confusion in raw-pointer bind_input causing an out-of-bounds write (#​28839)
• Fixed out-of-bounds pointer in TensorAt for sub-byte packed types (#​28973)
• Fixed arbitrary memory read, out-of-bounds dereference, and other OOB accesses in kernels (#​28991, #​29011, #​29012, #​29014)
• Validated Col2Im inputs to prevent heap over-read (#​28706)
• Hardened CropAndResize against malformed crop_size tensors (#​28766)
• Validated BeamSearch vocab_size against logits width (#​28774)
• Fixed bounds in WhisperDecoderSubgraph::CreateInitialFeeds (#​29239)
• Validated SparseAttention CSR indices/key lengths and rejected zero-dimension block_row_indices (#​29015, #​29242)
• Clamped derived sequence lengths and KV-cache index in CUDA GroupQueryAttention, and fixed a CPU GQA out-of-bounds read in the past-KV buffer (#​29240, #​29447)
• Clamped 1D attention mask_index to valid bounds (#​29449)
• Validated MaxpoolWithMask kernel rank against input spatial rank (#​29253)
• Rejected CUDA BERT EmbedLayerNorm/SkipLayerNorm shapes exceeding 32-bit output indexing (#​29264)
• Fixed the optional-output guard in DecoderAttention/MultiHeadAttention shape inference and negative-axis handling in ExpandDims shape inference (#​29268, #​29448)
• Fixed TreeEnsemble target id validation and added input validation to LinearClassifier (#​29293, #​29060)
• Fixed DynamicQuantizeLSTM zero-point/scale validation typos (#​29462)
• Handled non-trivially-copyable types in Loop/Scan output concatenation (#​29397)
• Normalized bool tensor raw_data to {0, 1} on unpack (#​29238)
• Addressed hardening gaps in Resize, PadFusion, and LoRA handling (#​28779, #​28780, #​28801)
• Fixed unbounded lifetime on WithOutputTensor in the Rust bindings (#​29251)

Integer overflow & allocation size

• Guarded MlasConvPrepare working-buffer products and ConvTranspose pad computation with SafeInt (#​29444, #​29446)
• Fixed signed-int overflow in SamplingState::Init that could cause a heap buffer overflow (#​29443)
• Hardened QMoE against integer overflow and partial K tiles (#​29067)
• Validated B/scales/zero-points shape in MatMulNBits::PrePack (#​29445)
• Pre-checked ConstantOfShape output size against the input initializer before constant folding (#​28751)
• Fixed integer overflow in RKNPU implicit bias allocation (#​29249)
• Fixed WebGPU out-of-bounds reads in Pad (int64/int32 truncation), Slice, and GatherBlockQuantized (#​28721, #​28704, #​28718)

Supply chain & tooling

... (truncated)

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