cbcvebase.
CVE-2021-29523
published 2021-05-14

CVE-2021-29523: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in…

medium5.5CVSS 3.1
AVLACLPRLUINSUCNINAH
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.AddManySparseToTensorsMap`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/kernels/sparse_tensors_map_ops.cc#L257) takes the values specified in `sparse_shape` as dimensions for the output shape. The `TensorShape` constructor(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a `CHECK` operation which triggers when `InitDims`(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status. This is a legacy implementation of the constructor and operations should use `BuildTensorShapeBase` or `AddDimWithStatus` to prevent `CHECK`-failures in the presence of overflows. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Affected

14 ranges
VendorProductVersion rangeFixed in
debiantensorflow
googletensorflow< 2.1.42.1.4
googletensorflow>= 2.2.0 < 2.2.32.2.3
googletensorflow>= 2.3.0 < 2.3.32.3.3
googletensorflow>= 2.4.0 < 2.4.22.4.2
inteloptimization_for_tensorflow>= 0 < 2.1.42.1.4
inteloptimization_for_tensorflow>= 0 < 69c68ecbb24dff3fa0e46da0d16c821a2dd22d7c69c68ecbb24dff3fa0e46da0d16c821a2dd22d7c
inteloptimization_for_tensorflow>= 2.2.0 < 2.2.32.2.3
inteloptimization_for_tensorflow>= 2.3.0 < 2.3.32.3.3
inteloptimization_for_tensorflow>= 2.4.0 < 2.4.22.4.2
tensorflowtensorflow< 2.1.42.1.4
tensorflowtensorflow
tensorflowtensorflow
tensorflowtensorflow