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CVE-2022-35970
Archivo de vulnerabilidades
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Archivo de vulnerabilidades 443
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CVE-2022-35969
TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`
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CVE-2022-35968
TensorFlow vulnerable to `CHECK` fail in `AvgPoolGrad`
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CVE-2022-35967
TensorFlow vulnerable to segfault in `QuantizedAdd`
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CVE-2022-35966
TensorFlow vulnerable to segfault in `QuantizedAvgPool`
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CVE-2022-35990
TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient`
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CVE-2022-35991
TensorFlow vulnerable to `CHECK` fail in `TensorListScatter` and `TensorListScatterV2`
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CVE-2022-35965
TensorFlow vulnerable to segfault in `LowerBound` and `UpperBound`
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CVE-2022-35992
TensorFlow vulnerable to `CHECK` fail in `TensorListFromTensor`
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CVE-2022-35993
TensorFlow vulnerable to `CHECK` fail in `SetSize`
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CVE-2022-35964
TensorFlow vulnerable to segfault in `BlockLSTMGradV2`
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CVE-2022-35963
TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`
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CVE-2022-35952
TensorFlow vulnerable to `CHECK` failures in `UnbatchGradOp`
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CVE-2022-35940
TensorFlow vulnerable to Int overflow in `RaggedRangeOp`
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CVE-2022-35994
TensorFlow vulnerable to `CHECK` fail in `CollectiveGather`
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CVE-2022-35960
TensorFlow vulnerable to `CHECK` failure in `TensorListReserve` via missing validation
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CVE-2022-35996
TensorFlow vulnerable to floating point exception in `Conv2D`
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CVE-2022-35959
TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`
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CVE-2022-35998
TensorFlow vulnerable to `CHECK` fail in `EmptyTensorList`
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CVE-2022-36000
TensorFlow vulnerable to null dereference on MLIR on empty function attributes
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CVE-2022-36001
TensorFlow vulnerable to `CHECK` fail in `DrawBoundingBoxes`
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CVE-2022-36002
TensorFlow vulnerable to `CHECK` fail in `Unbatch`
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CVE-2022-36013
TensorFlow vulnerable to null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef`
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CVE-2022-36011
TensorFlow vulnerable to null dereference on MLIR on empty function attributes
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