Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M

CVE-2021-37680Division by zero in TFLite in TensorFlow

Medium 5.5

In plain English

A medium-severity security flaw in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 4% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)5.5Medium
Exploit odds (30 days)0.2%top 95.6% of all CVEs
Exploited in the wildNo reportsnot in CISA KEV
Attack toolingNoneno public tooling known

Official description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of fully connected layers in TFLite is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/fully_connected.cc#L226). We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f. 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.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.3.4, 2.4.3PYSEC-2021-302
PyPItensorflow2.3.4GHSA-cfpj-3q4c-jhvr
PyPItensorflow2.4.3GHSA-cfpj-3q4c-jhvr
PyPItensorflow2.5.1GHSA-cfpj-3q4c-jhvr
PyPItensorflow-cpu2.4.3GHSA-cfpj-3q4c-jhvr
PyPItensorflow-cpu2.3.4, 2.4.3PYSEC-2021-593
PyPItensorflow-cpu2.3.4GHSA-cfpj-3q4c-jhvr
PyPItensorflow-cpu2.5.1GHSA-cfpj-3q4c-jhvr
PyPItensorflow-gpu2.3.4, 2.4.3PYSEC-2021-791
PyPItensorflow-gpu2.3.4GHSA-cfpj-3q4c-jhvr
PyPItensorflow-gpu2.4.3GHSA-cfpj-3q4c-jhvr
PyPItensorflow-gpu2.5.1GHSA-cfpj-3q4c-jhvr

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.5.0, < 2.5.1>= 2.4.0, < 2.4.3< 2.3.4

Weakness: CWE-369 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References