tensorflow-gpu vulnerabilities

CVEs whose affected-version data names the tensorflow-gpu package (pip). Each record lists the affected and patched versions; check a specific version with the dependency checker or POST /api/sbom.

tensorflow-gpu vulnerabilities

TensorFlow vulnerable to `CHECK` fail in `tf.sparse.cross`

TensorFlow vulnerable to `CHECK` fail in `ParameterizedTruncatedNormal`

TensorFlow vulnerable to `CHECK` fail in `tf.random.gamma`

TensorFlow vulnerable to `CHECK` fail in `Unbatch`

TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`

TensorFlow vulnerable to `CHECK` fail in `Save` and `SaveSlices`

TensorFlow vulnerable to `CHECK` fail in `RaggedTensorToVariant`

TensorFlow vulnerable to assertion fail on MLIR empty edge names

TensorFlow vulnerable to `CHECK` fail in `DrawBoundingBoxes`

TensorFlow vulnerable to `CHECK` fail in `MaxPool`

TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient`

TensorFlow vulnerable to `CHECK` failures in `UnbatchGradOp`

TensorFlow vulnerable to `CHECK` fail in `AudioSummaryV2`

TensorFlow vulnerable to `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs`

TensorFlow vulnerable to segfault in `QuantizedInstanceNorm`

TensorFlow vulnerable to null dereference on MLIR on empty function attributes

TensorFlow vulnerable to null dereference on MLIR on empty function attributes

TensorFlow vulnerable to `CHECK` fail in `CollectiveGather`

TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite

TensorFlow vulnerable to segfault in `BlockLSTMGradV2`

TensorFlow vulnerable to `CHECK` failure in tf.reshape via overflows

TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`

TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank`

TensorFlow vulnerable to `CHECK` fail in `TensorListFromTensor`

TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel`

TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVars`

TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`

TensorFlow vulnerable to `CHECK` fail in `LRNGrad`

TensorFlow vulnerable to `CHECK` failure in `SobolSample` via missing validation

TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`