CVE-2022-29205
Assigner: GitHub_M
Published: 2022-05-20T22:25:14
State: PUBLISHED
affected: product: tensorflow
vendor: tensorflow
versions: status: affected
version: < 2.6.4
status: affected
version: >= 2.7.0rc0, < 2.7.2
status: affected
version: >= 2.8.0rc0, < 2.8.1
status: affected
version: >= 2.9.0rc0, < 2.9.0
descriptions: value: TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
metrics: cvssV3_1: attackComplexity: LOW
attackVector: LOCAL
availabilityImpact: HIGH
baseScore: 5.5
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: LOW
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
version: 3.1
problemTypes: descriptions: cweId: CWE-908
description: CWE-908: Use of Uninitialized Resource
type: CWE
descriptions: cweId: CWE-476
description: CWE-476: NULL Pointer Dereference
type: CWE
source: advisory: GHSA-54ch-gjq5-4976
discovery: UNKNOWN
title: Segfault due to missing support for quantized types in TensorFlow