CVE-2021-37683

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is [vulnerable to a division by 0 error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/div.cc). There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit 1e206baedf8bef0334cca3eb92bab134ef525a28. 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.

How to fix CVE-2021-37683

To remediate CVE-2021-37683, upgrade the affected package to a fixed version below.

• —upgrade to 2.3.4 or later
• —upgrade to 2.3.4 or later
• —upgrade to 1e206baedf8bef0334cca3eb92bab134ef525a28 or later
• —upgrade to 1e206baedf8bef0334cca3eb92bab134ef525a28 or later
• —upgrade to 2.3.4 or later
• —upgrade to 1e206baedf8bef0334cca3eb92bab134ef525a28 or later
• —upgrade to 2.3.4 or later

Is CVE-2021-37683 being exploited?

Low — EPSS is 0.0%, meaning exploitation activity has not been observed at scale.

Affected packages (7)

• >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1
• from 0, < 2.3.4
• from 0, < 1e206baedf8bef0334cca3eb92bab134ef525a28 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
• from 0, < 1e206baedf8bef0334cca3eb92bab134ef525a28 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
• from 0, < 2.3.4
• from 0, < 1e206baedf8bef0334cca3eb92bab134ef525a28 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
• from 0, < 2.3.4

CVSS scores

References (8)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2021-37683
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-596.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-794.yaml