QID 983230

QID 983230: Python (pip) Security Update for tensorflow-gpu (GHSA-m648-33qf-v3gp)

Security update has been released for tensorflow,tensorflow-cpu,tensorflow-gpu to fix the vulnerability.

Note: The preceding description block is extracted directly from the security advisory. Using automation, we have attempted to clean and format it as much as possible without introducing additional issues.

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.

CVSS V3 rated as Medium - 3.3 severity.

CVSS V2 rated as Low - 2.1 severity.

Solution

We have patched the issue in GitHub commit [14755416e364f17fb1870882fa778c7fec7f16e3](https://github.com/tensorflow/tensorflow/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.

Vendor References

GHSA-m648-33qf-v3gp - github.com/advisories/GHSA-m648-33qf-v3gp

CVEs related to QID 983230

CVE-2020-26270 |

Software Advisories

Advisory ID	Software	Link
GHSA-m648-33qf-v3gp	tensorflow	github.com/advisories/GHSA-m648-33qf-v3gp
GHSA-m648-33qf-v3gp	tensorflow-cpu	github.com/advisories/GHSA-m648-33qf-v3gp
GHSA-m648-33qf-v3gp	tensorflow-gpu	github.com/advisories/GHSA-m648-33qf-v3gp

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