CVE-2020-26270

Medium

Description

In affected versions of TensorFlow 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. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

SeverityMedium
CVSS4.4
Exploit probability—
ProductGoogle Tensorflow
PublishedDec 10, 2020
First seenDec 10, 2020

How to fix

Update
  • google tensorflow1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2 or later
  • tensorflow1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2 or later
  • tensorflow-cpu1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2 or later
  • tensorflow-gpu1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2 or later

Affected products

ProductAffected versionsFixed in
google tensorflowv < 1.15.5, 2.0.0 ≤ v < 2.0.4, 2.1.0 ≤ v < 2.1.3, 2.2.0 ≤ v < 2.2.2, 2.3.0 ≤ v < 2.3.21.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2
tensorflowPyPIv < 1.15.5, 2.0.0 ≤ v < 2.0.4, 2.1.0 ≤ v < 2.1.3, 2.2.0 ≤ v < 2.2.2, 2.3.0 ≤ v < 2.3.21.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2
tensorflow-cpuPyPIv < 1.15.5, 2.0.0 ≤ v < 2.0.4, 2.1.0 ≤ v < 2.1.3, 2.2.0 ≤ v < 2.2.2, 2.3.0 ≤ v < 2.3.21.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2
tensorflow-gpuPyPIv < 1.15.5, 2.0.0 ≤ v < 2.0.4, 2.1.0 ≤ v < 2.1.3, 2.2.0 ≤ v < 2.2.2, 2.3.0 ≤ v < 2.3.21.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2

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CVE-2020-26270 · Google Tensorflow · Dark Radar