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/sparsetensorsmapops.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/tensorshape.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.
{ "cpes": [ "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*" ], "severity": "Low" }