cnvd - cnvd-2022-09886

cnvd-2022-09886

Vulnerability from cnvd

Title: Google Tensorflow存在未明漏洞（CNVD-2022-09886）

Description:

Google TensorFlow是美国谷歌（Google）公司的一套用于机器学习的端到端开源平台。

Google Tensorflow存在安全漏洞，该漏洞源于AssignOp的实现可导致将未初始化的数据复制到一个新的张量。目前没有详细漏洞细节提供。

Severity: 中

Patch Name: Google Tensorflow存在未明漏洞（CNVD-2022-09886）的补丁

Patch Description:

Google TensorFlow是美国谷歌（Google）公司的一套用于机器学习的端到端开源平台。

Google Tensorflow存在安全漏洞，该漏洞源于AssignOp的实现可导致将未初始化的数据复制到一个新的张量。目前没有详细漏洞细节提供。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description:

厂商已发布了漏洞修复程序，请及时关注更新： https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q85f-69q7-55h2

Reference: http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-23573

Impacted products

Name
['Google TensorFlow <2.8.0', 'Google TensorFlow <2.7.1', 'Google TensorFlow <2.6.3', 'Google TensorFlow <2.5.3']

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CVE-2022-23573 (GCVE-0-2022-23573)

Vulnerability from cvelistv5

Published

2022-02-04 22:32

Modified

2025-04-22 18:24

Severity ?

7.6 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H

CWE

CWE-908 - Use of Uninitialized Resource

Summary

Tensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

References

▼	URL	Tags
	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q85f-69q7-55h2	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/ef1d027be116f25e25bb94a60da491c2cf55bd0b	x_refsource_MISC
	https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/assign_op.h#L30-L143	x_refsource_MISC

Impacted products

	Vendor	Product	Version
	tensorflow	tensorflow	Version: >= 2.7.0, < 2.7.1 Version: >= 2.6.0, < 2.6.3 Version: < 2.5.3

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Sightings

Author	Source	Type	Date

Nomenclature

Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
Confirmed: The vulnerability is confirmed from an analyst perspective.
Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
Patched: This vulnerability was successfully patched by the user reporting the sighting.
Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
Not confirmed: The user expresses doubt about the veracity of the vulnerability.
Not patched: This vulnerability was not successfully patched by the user reporting the sighting.

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