cnvd - cnvd-2022-09867

cnvd-2022-09867

Vulnerability from cnvd

Title: Google Tensorflow代码问题漏洞（CNVD-2022-09867）

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存在代码问题漏洞，该漏洞源于当构建XLA编译缓存时，如果使用默认设置，TensorFlow会触发空指针解引用。目前没有详细漏洞细节提供。

Severity: 中

Patch Name: Google Tensorflow代码问题漏洞（CNVD-2022-09867）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存在代码问题漏洞，该漏洞源于当构建XLA编译缓存时，如果使用默认设置，TensorFlow会触发空指针解引用。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-fpcp-9h7m-ffpx

Reference: https://github.com/tensorflow/tensorflow/commit/e21af685e1828f7ca65038307df5cc06de4479e8

Impacted products

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

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2022-23595"
    }
  },
  "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\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5f53\u6784\u5efaXLA\u7f16\u8bd1\u7f13\u5b58\u65f6\uff0c\u5982\u679c\u4f7f\u7528\u9ed8\u8ba4\u8bbe\u7f6e\uff0cTensorFlow\u4f1a\u89e6\u53d1\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-09867",
  "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\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5f53\u6784\u5efaXLA\u7f16\u8bd1\u7f13\u5b58\u65f6\uff0c\u5982\u679c\u4f7f\u7528\u9ed8\u8ba4\u8bbe\u7f6e\uff0cTensorFlow\u4f1a\u89e6\u53d1\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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",
  "patchName": "Google Tensorflow\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff08CNVD-2022-09867\uff09\u7684\u8865\u4e01",
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  "serverity": "\u4e2d",
  "submitTime": "2022-02-09",
  "title": "Google Tensorflow\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff08CNVD-2022-09867\uff09"
}

CVE-2022-23595 (GCVE-0-2022-23595)

Vulnerability from cvelistv5

Published

2022-02-04 22:32

Modified

2025-04-22 18:26

Severity ?

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

CWE

CWE-476 - NULL Pointer Dereference

Summary

Tensorflow is an Open Source Machine Learning Framework. When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference. In the default scenario, all devices are allowed, so `flr->config_proto` is `nullptr`. 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-fpcp-9h7m-ffpx	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/e21af685e1828f7ca65038307df5cc06de4479e8	x_refsource_MISC
	https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/jit/xla_platform_info.cc#L43-L104	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

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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