CVE-2021-37648: Incorrect validation of `SaveV2` inputs in TensorFlow

Impact The code for tf.rawops.SaveV2 does not properly validate the inputs and an attacker can trigger a null pointer dereference:

python import tensorflow as tf

tf.rawops.SaveV2( prefix=['tensorflow'], tensorname=['v'], shapeandslices=[], tensors=[1,2,3]) The implementation uses ValidateInputs to check that the input arguments are valid. This validation would have caught the illegal state represented by the reproducer above.

However, the validation uses OPREQUIRES which translates to setting the Status object of the current OpKernelContext to an error status, followed by an empty return statement which just terminates the execution of the function it is present in. However, this does not mean that the kernel execution is finalized: instead, execution continues from the next line in Compute that follows the call to ValidateInputs. This is equivalent to lacking the validation. Patches We have patched the issue in GitHub commit 9728c60e136912a12d99ca56e106b7cce7af5986.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

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Attribution This vulnerability has been reported by members of the Aivul Team from Qihoo 360.