CVE-2021-37691

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a division by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/lsh_projection.cc#L118). We have patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit 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-2021-37691

To remediate CVE-2021-37691, 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 0575b640091680cfb70f4dd93e70658de43b94f9 or later
• —upgrade to 0575b640091680cfb70f4dd93e70658de43b94f9 or later
• —upgrade to 2.3.4 or later
• —upgrade to 0575b640091680cfb70f4dd93e70658de43b94f9 or later
• —upgrade to 2.3.4 or later

Is CVE-2021-37691 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, < 0575b640091680cfb70f4dd93e70658de43b94f9 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
• from 0, < 0575b640091680cfb70f4dd93e70658de43b94f9 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
• from 0, < 2.3.4
• from 0, < 0575b640091680cfb70f4dd93e70658de43b94f9 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
• from 0, < 2.3.4

CVSS scores

References (7)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2021-37691
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-604.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-802.yaml