CVE-2023-33976

一、漏洞信息
 漏洞编号：[CVE-2023-33976](https://nvd.nist.gov/vuln/detail/CVE-2023-33976)
 漏洞归属组件：[tensorflow](https://gitee.com/src-openeuler/tensorflow)
 漏洞归属的版本：2.10.0,2.12.1,2.3.1,2.8.2
 CVSS V3.0分值：
  BaseScore：7.5 High
  Vector：CVSS：3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
 漏洞简述：
  TensorFlow is an end-to-end open source platform for machine learning. `array_ops.upper_bound` causes a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12.
 漏洞公开时间：2024-07-31 04:15:03
 漏洞创建时间：2024-07-31 10:49:08
 漏洞详情参考链接：
  https://nvd.nist.gov/vuln/detail/CVE-2023-33976
<details>
<summary>更多参考(点击展开)</summary>

| 参考来源 | 参考链接 | 来源链接 |
| ------- | -------- | -------- |
| security-advisories.github.com | https://github.com/tensorflow/tensorflow/commit/6fa05df43b00038b048f4f0e51ef522da6532fec |  |
| security-advisories.github.com | https://github.com/tensorflow/tensorflow/commit/915884fdf5df34aaedd00fc6ace33a2cfdefa586 |  |
| security-advisories.github.com | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gjh7-xx4r-x345 |  |
| suse_bugzilla | http://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2023-33976 | https://bugzilla.suse.com/show_bug.cgi?id=1228611 |
| suse_bugzilla | https://www.cve.org/CVERecord?id=CVE-2023-33976 | https://bugzilla.suse.com/show_bug.cgi?id=1228611 |
| suse_bugzilla | https://github.com/tensorflow/tensorflow/commit/6fa05df43b00038b048f4f0e51ef522da6532fec | https://bugzilla.suse.com/show_bug.cgi?id=1228611 |
| suse_bugzilla | https://github.com/tensorflow/tensorflow/commit/915884fdf5df34aaedd00fc6ace33a2cfdefa586 | https://bugzilla.suse.com/show_bug.cgi?id=1228611 |
| suse_bugzilla | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gjh7-xx4r-x345 | https://bugzilla.suse.com/show_bug.cgi?id=1228611 |
| debian |  | https://security-tracker.debian.org/tracker/CVE-2023-33976 |
| github_advisory | https://nvd.nist.gov/vuln/detail/CVE-2023-33976 | https://github.com/advisories/GHSA-gjh7-xx4r-x345 |
| github_advisory | https://github.com/tensorflow/tensorflow/commit/915884fdf5df34aaedd00fc6ace33a2cfdefa586 | https://github.com/advisories/GHSA-gjh7-xx4r-x345 |
| github_advisory | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gjh7-xx4r-x345 | https://github.com/advisories/GHSA-gjh7-xx4r-x345 |
| github_advisory | https://github.com/tensorflow/tensorflow/commit/6fa05df43b00038b048f4f0e51ef522da6532fec | https://github.com/advisories/GHSA-gjh7-xx4r-x345 |

</details>

漏洞分析指导链接：
  https://gitee.com/openeuler/cve-manager/blob/master/cve-vulner-manager/doc/md/manual.md
 漏洞数据来源:
  其它
 漏洞补丁信息：
  <details>
<summary>详情(点击展开)</summary>

| 影响的包 | 修复版本 | 修复补丁 | 问题引入补丁 | 来源  |
| ------- | -------- | ------- | -------- | --------- |
|  |  | https://github.com/tensorflow/tensorflow/commit/6fa05df43b00038b048f4f0e51ef522da6532fec |  | security-advisories.github.com |
|  |  | https://github.com/tensorflow/tensorflow/commit/915884fdf5df34aaedd00fc6ace33a2cfdefa586 |  | security-advisories.github.com |
|  |  | https://github.com/tensorflow/tensorflow/commit/6fa05df43b00038b048f4f0e51ef522da6532fec |  | suse_bugzilla |
|  |  | https://github.com/tensorflow/tensorflow/commit/915884fdf5df34aaedd00fc6ace33a2cfdefa586 |  | suse_bugzilla |
|  |  | https://github.com/tensorflow/tensorflow/commit/915884fdf5df34aaedd00fc6ace33a2cfdefa586 |  | github_advisory |
|  |  | https://github.com/tensorflow/tensorflow/commit/6fa05df43b00038b048f4f0e51ef522da6532fec |  | github_advisory |
|  |  | https://github.com/tensorflow/tensorflow/commit/6fa05df43b00038b048f4f0e51ef522da6532fec |  | nvd |
|  |  | https://github.com/tensorflow/tensorflow/commit/915884fdf5df34aaedd00fc6ace33a2cfdefa586 |  | nvd |
|  |  | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gjh7-xx4r-x345 |  | nvd |
| tensorflow |  | https://github.com/tensorflow/tensorflow/commit/915884fdf5df34aaedd00fc6ace33a2cfdefa586 |  | tensorflow |

</details>

二、漏洞分析结构反馈
 影响性分析说明：
                                      
 openEuler评分：
  7.5
 Vector：CVSS：3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
 受影响版本排查(受影响/不受影响)：
  1.master(2.12.1):
2.openEuler-20.03-LTS-SP4:
3.openEuler-22.03-LTS-SP1:
4.openEuler-22.03-LTS-SP3(2.10.0):
5.openEuler-22.03-LTS-SP4(2.10.0):
6.openEuler-24.03-LTS(2.12.1):
7.openEuler-24.03-LTS-Next(2.12.1):

修复是否涉及abi变化(是/否)：
  1.master(2.12.1):
2.openEuler-20.03-LTS-SP4:
3.openEuler-22.03-LTS-SP1:
4.openEuler-22.03-LTS-SP3(2.10.0):
5.openEuler-22.03-LTS-SP4(2.10.0):
6.openEuler-24.03-LTS(2.12.1):
7.openEuler-24.03-LTS-Next(2.12.1):

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