cnvd - cnvd-2021-64533

cnvd-2021-64533

Vulnerability from cnvd

Title: Google TensorFlow缓冲区溢出漏洞（CNVD-2021-64533）

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，该漏洞源于程序的\"tf.raw_ops.ExperimentalDatasetToTFRecord\"和\"tf.raw_ops.DatasetToTFRecord\"的实现可以触发堆缓冲区溢出和分段错误。目前没有详细的漏洞细节提供。

Severity: 中

Patch Name: Google TensorFlow缓冲区溢出漏洞（CNVD-2021-64533）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，该漏洞源于程序的\"tf.raw_ops.ExperimentalDatasetToTFRecord\"和\"tf.raw_ops.DatasetToTFRecord\"的实现可以触发堆缓冲区溢出和分段错误。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:

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f8h4-7rgh-q2gm

Reference: https://nvd.nist.gov/vuln/detail/CVE-2021-37650

Impacted products

Name
['Google TensorFlow 2.5.1', 'Google TensorFlow 2.4.3', 'Google TensorFlow 2.3.4']

Show details on source website

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      "cveNumber": "CVE-2021-37650"
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  "description": "Google TensorFlow\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u7684\u4e00\u5957\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u7aef\u5230\u7aef\u5f00\u6e90\u5e73\u53f0\u3002\n\nGoogle TensorFlow\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u7684\\\"tf.raw_ops.ExperimentalDatasetToTFRecord\\\"\u548c\\\"tf.raw_ops.DatasetToTFRecord\\\"\u7684\u5b9e\u73b0\u53ef\u4ee5\u89e6\u53d1\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u548c\u5206\u6bb5\u9519\u8bef\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
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  "number": "CNVD-2021-64533",
  "openTime": "2021-08-24",
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  "serverity": "\u4e2d",
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}

CVE-2021-37650 (GCVE-0-2021-37650)

Vulnerability from cvelistv5

Published

2021-08-12 21:00

Modified

2024-08-04 01:23

Severity ?

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

CWE

CWE-120 - Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')

Summary

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for `tf.raw_ops.ExperimentalDatasetToTFRecord` and `tf.raw_ops.DatasetToTFRecord` can trigger heap buffer overflow and segmentation fault. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/data/experimental/to_tf_record_op.cc#L93-L102) assumes that all records in the dataset are of string type. However, there is no check for that, and the example given above uses numeric types. We have patched the issue in GitHub commit e0b6e58c328059829c3eb968136f17aa72b6c876. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

References

▼	URL	Tags
	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f8h4-7rgh-q2gm	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/e0b6e58c328059829c3eb968136f17aa72b6c876	x_refsource_MISC

Impacted products

	Vendor	Product	Version
	tensorflow	tensorflow	Version: >= 2.5.0, < 2.5.1 Version: >= 2.4.0, < 2.4.3 Version: < 2.3.4

Show details on NVD website

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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