Vulnerability Information
Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.
Vulnerability Title
`CHECK` fail in `FractionalMaxPoolGrad` in TensorFlow
Vulnerability Description
TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. 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.
CVSS Information
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Vulnerability Type
可达断言
Vulnerability Title
Google TensorFlow 安全漏洞
Vulnerability 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 FractionalMaxPoolGrad 通过断言失败而不是返回错误来验证其输入。如果输入大小不正确,则断言失败可用于触发拒绝服务攻击。该漏洞将在 2.10.0 版本, 2.9.1 版本, 2.8.1 版本, 2.7.2 版本中得到修复。
CVSS Information
N/A
Vulnerability Type
N/A