cnvd - cnvd-2021-37646

cnvd-2021-37646

Vulnerability from cnvd

Title: Google TensorFlow堆缓冲区溢出漏洞（CNVD-2021-37646）

Description:

Google TensorFlow是一个端到端开源机器学习平台。

Google TensorFlow中tf.raw_ops.MaxPool3DGradGrad存在堆缓冲区溢出漏洞。目前没有详细的漏洞细节提供。

Severity: 中

Patch Name: Google TensorFlow堆缓冲区溢出漏洞（CNVD-2021-37646）的补丁

Patch Description:

Google TensorFlow是一个端到端开源机器学习平台。

Google TensorFlow中tf.raw_ops.MaxPool3DGradGrad存在堆缓冲区溢出漏洞。目前没有详细的漏洞细节提供。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-v6r6-84gr-92rm

Reference: https://nvd.nist.gov/vuln/detail/CVE-2021-29576

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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    "cve": {
      "cveNumber": "CVE-2021-29576",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-29576"
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  "number": "CNVD-2021-37646",
  "openTime": "2021-05-28",
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  "products": {
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  "serverity": "\u4e2d",
  "submitTime": "2021-05-18",
  "title": "Google TensorFlow\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2021-37646\uff09"
}

CVE-2021-29576 (GCVE-0-2021-29576)

Vulnerability from cvelistv5

Published

2021-05-14 19:16

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-119 - Improper Restriction of Operations within the Bounds of a Memory Buffer

Summary

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPool3DGradGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L694-L696) does not check that the initialization of `Pool3dParameters` completes successfully. Since the constructor(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L48-L88) uses `OP_REQUIRES` to validate conditions, the first assertion that fails interrupts the initialization of `params`, making it contain invalid data. In turn, this might cause a heap buffer overflow, depending on default initialized values. 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-7cqx-92hp-x6wh	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/63c6a29d0f2d692b247f7bf81f8732d6442fad09	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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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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