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CVE-2022-35937
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#ICYBN6
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Opened this issue
2025-09-16 21:23
一、漏洞信息 漏洞编号：[CVE-2022-35937](https://nvd.nist.gov/vuln/detail/CVE-2022-35937) 漏洞归属组件：tensorflow 漏洞归属的版本：2.10.0 CVSS V3分值：  BaseScore: 7.0 High  Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H 漏洞简述： TensorFlow is an open source platform for machine learning. The `GatherNd` function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. This issue has been patched in GitHub commit 595a65a3e224a0362d7e68c2213acfc2b499a196. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. 漏洞公开时间：2022-09-17 04:15:10 漏洞创建时间：2025-09-16 21:23:36 漏洞详情参考链接： https://nvd.nist.gov/vuln/detail/CVE-2022-35937
一、漏洞信息 漏洞编号：[CVE-2022-35937](https://nvd.nist.gov/vuln/detail/CVE-2022-35937) 漏洞归属组件：tensorflow 漏洞归属的版本：2.10.0 CVSS V3分值：  BaseScore: 7.0 High  Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H 漏洞简述： TensorFlow is an open source platform for machine learning. The `GatherNd` function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. This issue has been patched in GitHub commit 595a65a3e224a0362d7e68c2213acfc2b499a196. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. 漏洞公开时间：2022-09-17 04:15:10 漏洞创建时间：2025-09-16 21:23:36 漏洞详情参考链接： https://nvd.nist.gov/vuln/detail/CVE-2022-35937
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