Medium
CVE-2022-35960
Vulnerability archive
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Medium
CVE-2022-35996
TensorFlow vulnerable to floating point exception in `Conv2D`
Medium
CVE-2022-35959
TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`
Medium
CVE-2022-36000
TensorFlow vulnerable to null dereference on MLIR on empty function attributes
Medium
CVE-2022-36001
TensorFlow vulnerable to `CHECK` fail in `DrawBoundingBoxes`
Medium
CVE-2022-36002
TensorFlow vulnerable to `CHECK` fail in `Unbatch`
Medium
CVE-2022-36013
TensorFlow vulnerable to null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef`
Medium
CVE-2022-36011
TensorFlow vulnerable to null dereference on MLIR on empty function attributes
Medium
CVE-2022-36017
TensorFlow vulnerable to segfault in `Requantize`
Medium
CVE-2022-36003
TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`
Medium
CVE-2022-36005
TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`
Medium
CVE-2022-35995
TensorFlow vulnerable to `CHECK` fail in `AudioSummaryV2`
Medium
CVE-2022-36004
TensorFlow vulnerable to `CHECK` fail in `tf.random.gamma`
Low
CVE-2022-36016
TensorFlow vulnerable to `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs`
Medium
CVE-2022-36014
TensorFlow vulnerable to null-dereference in `mlir::tfg::TFOp::nameAttr`
Low
CVE-2022-36015
TensorFlow vulnerable to integer overflow in math ops
Medium
CVE-2022-36012
TensorFlow vulnerable to assertion fail on MLIR empty edge names
Medium
CVE-2022-35987
TensorFlow vulnerable to `CHECK` fail in `DenseBincount`
Medium
CVE-2022-35941
TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`
Medium
CVE-2022-36026
TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`
Medium
CVE-2022-36018
TensorFlow vulnerable to `CHECK` fail in `RaggedTensorToVariant`
Medium
CVE-2022-36019
TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel`
Medium
CVE-2022-36027
TensorFlow segfault TFLite converter on per-channel quantized transposed convolutions
High
CVE-2022-35939
TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite
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With the DockRay integration and software inventory enabled, DockRay checks reported component versions against known vulnerabilities and notifies you about confirmed matches. Coverage depends on the supported technology and available advisory data.