cnvd - cnvd-2022-09875

cnvd-2022-09875

Vulnerability from cnvd

Title: Google TensorFlow输入验证错误漏洞（CNVD-2022-09875）

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存在输入验证错误漏洞，攻击者可利用该漏洞导致 CHECK 失败而崩溃。

Severity: 低

Patch Name: Google TensorFlow输入验证错误漏洞（CNVD-2022-09875）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存在输入验证错误漏洞，攻击者可利用该漏洞导致 CHECK 失败而崩溃。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-2p25-55c9-h58q

Reference: https://github.com/tensorflow/tensorflow/commit/9294094df6fea79271778eb7e7ae1bad8b5ef98f

Impacted products

Name
['Google TensorFlow <2.7.0', 'Google TensorFlow <2.6.1', 'Google TensorFlow <2.5.2', 'Google TensorFlow <2.4.4']

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-41198",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-41198"
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  "number": "CNVD-2022-09875",
  "openTime": "2022-02-12",
  "patchDescription": "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 \r\n\r\nGoogle TensorFlow\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4 `CHECK` \u5931\u8d25\u800c\u5d29\u6e83\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
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  "products": {
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  "serverity": "\u4f4e",
  "submitTime": "2021-11-24",
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}

CVE-2021-41198 (GCVE-0-2021-41198)

Vulnerability from cvelistv5

Published

2021-11-05 19:55

Modified

2024-08-04 03:08

Severity ?

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

CWE

CWE-190 - Integer Overflow or Wraparound

Summary

TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

References

▼	URL	Tags
	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2p25-55c9-h58q	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/issues/46911	x_refsource_MISC
	https://github.com/tensorflow/tensorflow/commit/9294094df6fea79271778eb7e7ae1bad8b5ef98f	x_refsource_MISC

Impacted products

	Vendor	Product	Version
	tensorflow	tensorflow	Version: >= 2.6.0, < 2.6.1 Version: >= 2.5.0, < 2.5.2 Version: < 2.4.4

Show details on NVD website

JSON

To clipboard

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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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