CVE-2023-25669
Assigner: GitHub_M
Published: 2023-03-24T23:32:57.394Z
State: PUBLISHED
title: TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
problemTypes: descriptions: cweId: CWE-697
description: CWE-697: Incorrect Comparison
type: CWE
metrics: cvssV3_1: attackComplexity: LOW
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 7.5
baseSeverity: HIGH
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: NONE
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
version: 3.1
affected: vendor: tensorflow
product: tensorflow
versions: version: < 2.11.1
status: affected
descriptions: value: TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

source: advisory: GHSA-rcf8-g8jv-vg6p
discovery: UNKNOWN