CVE-2021-37683 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.3.4 || >=2.4.0 <2.4.3 || =2.5.0 || >=2.5.0 <2.5.1

Severity

Level: Medium

CVSS v3.1: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

CVSS v4.0: CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

EPSS: 0.00012 pctl0.01115

Details

FPE in TFLite division operations ### Impact 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. ### Patches We have patched the issue in GitHub commit [1e206baedf8bef0334cca3eb92bab134ef525a28](https://github.com/tensorflow/tensorflow/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. ### For more information 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. ### Attribution This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Metadata

Created: 2021-08-25T14:40:16Z
Modified: 2024-11-13T21:16:41Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/08/GHSA-rhrq-64mq-hf9h/GHSA-rhrq-64mq-hf9h.json
CWE IDs: ["CWE-369"]
Alternative ID: GHSA-rhrq-64mq-hf9h
Finding: F020
Auto approve: 1