CVE-2021-37680 – tensorflow-gpu

Package

Manager: pip
Name: tensorflow-gpu
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

Division by zero in TFLite ### Impact 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): ```cc const int batch_size = input_size / filter->dims->data[1]; ``` An attacker can craft a model such that `filter->dims->data[1]` is 0. ### Patches We have patched the issue in GitHub commit [718721986aa137691ee23f03638867151f74935f](https://github.com/tensorflow/tensorflow/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. ### 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. Concurrently, it has also been reported by Yakun Zhang of Baidu Security.

Metadata

Created: 2021-08-25T14:40:38Z
Modified: 2024-11-13T21:15:32Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/08/GHSA-cfpj-3q4c-jhvr/GHSA-cfpj-3q4c-jhvr.json
CWE IDs: ["CWE-369"]
Alternative ID: GHSA-cfpj-3q4c-jhvr
Finding: F020
Auto approve: 1