CVE-2023-27579 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.11.1

Severity

Level: High

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

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

EPSS: 0.00156 pctl0.36945

Details

TensorFlow has Floating Point Exception in TFLite in conv kernel ### Impact Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. ### Patches We have patched the issue in GitHub commit [34f8368c535253f5c9cb3a303297743b62442aaa](https://github.com/tensorflow/tensorflow/commit/34f8368c535253f5c9cb3a303297743b62442aaa). The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1. ### 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 was reported by Wang Xuan of Qihoo 360 AIVul Team.

Metadata

Created: 2023-03-24T21:53:39Z
Modified: 2023-03-30T22:23:36Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2023/03/GHSA-5w96-866f-6rm8/GHSA-5w96-866f-6rm8.json
CWE IDs: ["CWE-697"]
Alternative ID: GHSA-5w96-866f-6rm8
Finding: F184
Auto approve: 1