Vulnerability · Published Mar 24, 2023 · Assigned by GitHub_M

CVE-2023-27579TensorFlow has Floating Point Exception in TFLite in conv kernel

High 7.5

In plain English

A high-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 0.4% (higher than 34% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)7.5High
Exploit odds (30 days)0.4%top 66.2% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official description

TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.11.1GHSA-5w96-866f-6rm8
PyPItensorflow2.11.1PYSEC-2026-3111
PyPItensorflow-cpu2.11.1GHSA-5w96-866f-6rm8
PyPItensorflow-cpu2.11.1PYSEC-2026-3279
PyPItensorflow-gpu2.11.1GHSA-5w96-866f-6rm8
PyPItensorflow-gpu2.11.1PYSEC-2026-954

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.11.1

Weakness: CWE-697 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

References