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STT-tensorflow/tensorflow/security/advisory/tfsa-2020-033.md
Mihai Maruseac faf6ea6f28 Security advisories for 2.4 releases. 
For several of these, we also patch previous releases.

PiperOrigin-RevId: 346617124
Change-Id: I0e88fb02e1d7a98a1df3446c7251d3fcdfe3b8fc
2020-12-09 13:32:23 -08:00

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TFSA-2020-033: CHECK-fail in LSTM with zero-length input

CVE Number

CVE-2020-26270

Impact

Running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend.

This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer.

Patches

We have patched the issue in GitHub commit 14755416e364f17fb1870882fa778c7fec7f16e3 and will release TensorFlow 2.4.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

Since this issue also impacts TF versions before 2.4, we will patch all releases between 1.15 and 2.3 inclusive.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.