Out-of-bounds Read

tensorflow,tensorflowcpu and tensorflowgpu are vulnerable to Out-of-bounds Read. The vulnerability is caused due to the implementations of the Minimum and Maximum TFLite operators can be used to read data outside of bounds of heap allocated objects, if any of the two input tensor arguments are...

GHSA-24X6-8C7M-HV3F Heap OOB read in TFLite's implementation of `Minimum` or `Maximum`

Impact The implementations of the Minimum and Maximum TFLite operators can be used to read data outside of bounds of heap allocated objects, if any of the two input tensor arguments are empty. This is because the broadcasting implementation indexes in both tensors with the same index but does not...

CVE-2021-29569

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.MaxPoolGradWithArgmax can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The...

CVE-2021-29580

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.FractionalMaxPoolGrad triggers an undefined behavior if one of the input tensors is empty. The code is also vulnerable to a denial of service attack as a CHECK condition becomes false and aborts...

PT-2021-18325 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: The implementation of tf.raw...