CVE-2021-37684

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. We have patched the issue in GitHub commit [dfa22b348b70bb89d6d6ec0ff53973bacb4f4695](https://github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695). 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-2021-37684

To remediate CVE-2021-37684, 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 2.3.4 or later
• —upgrade to 2.3.4 or later
• —upgrade to 2.3.4 or later
• —upgrade to 2.3.4 or later
• —upgrade to 2.3.4 or later

Is CVE-2021-37684 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
• >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
• >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
• from 0, < 2.3.4
• >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
• from 0, < 2.3.4

CVSS scores

References (6)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2021-37684
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-597.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-795.yaml