cnvd - cnvd-2021-48864

cnvd-2021-48864

Vulnerability from cnvd

Title: Google TensorFlow数字错误漏洞（CNVD-2021-48864）

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 2.4.2，2.3.3，2.2.3，2.1.4存在数字错误漏洞，攻击者可利用该漏洞导致tf.raw_ops.QuantizedBatchNormWithGlobalNormalization中的运行时除零错误和拒绝服务。

Severity: 低

Patch Name: Google TensorFlow数字错误漏洞（CNVD-2021-48864）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 2.4.2，2.3.3，2.2.3，2.1.4存在数字错误漏洞，攻击者可利用该漏洞导致tf.raw_ops.QuantizedBatchNormWithGlobalNormalization中的运行时除零错误和拒绝服务。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/commit/744009c9e5cc5d0447f0dc39d055f917e1fd9e16

Reference: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x83m-p7pv-ch8v

Impacted products

Name
['Google TensorFlow 2.4.2', 'Google TensorFlow 2.3.3', 'Google TensorFlow 2.2.3', 'Google TensorFlow 2.1.4']

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  "cves": {
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      "cveNumber": "CVE-2021-29549",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-29549"
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  "number": "CNVD-2021-48864",
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}

CVE-2021-29549 (GCVE-0-2021-29549)

Vulnerability from cvelistv5

Published

2021-05-14 19:10

Modified

2024-08-03 22:11

Severity ?

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

CWE

CWE-369 - Divide By Zero

Summary

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L289-L295) computes a modulo operation without validating that the divisor is not zero. Since `vector_num_elements` is determined based on input shapes(https://github.com/tensorflow/tensorflow/blob/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L522-L544), a user can trigger scenarios where this quantity is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

References

▼	URL	Tags
	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x83m-p7pv-ch8v	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/744009c9e5cc5d0447f0dc39d055f917e1fd9e16	x_refsource_MISC

Impacted products

	Vendor	Product	Version
	tensorflow	tensorflow	Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2

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JSON

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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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