CVE-2021-29591

High

Description

TensorFlow is an end-to-end open source platform for machine learning. TFlite graphs must not have loops between nodes. However, this condition was not checked and an attacker could craft models that would result in infinite loop during evaluation. In certain cases, the infinite loop would be replaced by stack overflow due to too many recursive calls. For example, the `While` implementation(https://github.com/tensorflow/tensorflow/blob/106d8f4fb89335a2c52d7c895b7a7485465ca8d9/tensorflow/lite/kernels/while.cc) could be tricked into a scneario where both the body and the loop subgraphs are the same. Evaluating one of the subgraphs means calling the `Eval` function for the other and this quickly exhaust all stack space. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. Please consult our security guide(https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.

SeverityHigh
CVSS7.3
Exploit probability18. percentile0.3%
ProductGoogle Tensorflow
PublishedMay 14, 2021
First seenMay 14, 2021
Weakness typeCWE-835CWE-835

How to fix

Update
  • google tensorflow2.1.4, 2.2.3, 2.3.3, 2.4.2 or later
  • tensorflow2.1.4, 2.2.3, 2.3.3, 2.4.2 or later
  • tensorflow-cpu2.1.4, 2.2.3, 2.3.3, 2.4.2 or later
  • tensorflow-gpu2.1.4, 2.2.3, 2.3.3, 2.4.2 or later

Affected products

ProductAffected versionsFixed in
google tensorflowv < 2.1.4, 2.2.0 ≤ v < 2.2.3, 2.3.0 ≤ v < 2.3.3, 2.4.0 ≤ v < 2.4.22.1.4, 2.2.3, 2.3.3, 2.4.2
tensorflowPyPIv < 2.1.4, 2.2.0 ≤ v < 2.2.3, 2.3.0 ≤ v < 2.3.3, 2.4.0 ≤ v < 2.4.22.1.4, 2.2.3, 2.3.3, 2.4.2
tensorflow-cpuPyPIv < 2.1.4, 2.2.0 ≤ v < 2.2.3, 2.3.0 ≤ v < 2.3.3, 2.4.0 ≤ v < 2.4.22.1.4, 2.2.3, 2.3.3, 2.4.2
tensorflow-gpuPyPIv < 2.1.4, 2.2.0 ≤ v < 2.2.3, 2.3.0 ≤ v < 2.3.3, 2.4.0 ≤ v < 2.4.22.1.4, 2.2.3, 2.3.3, 2.4.2

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