Vulnerability Information
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Vulnerability Title
`CHECK` fail in `FakeQuantWithMinMaxVarsGradient` in TensorFlow
Vulnerability Description
TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_gradient` receives input `min` or `max` that is nonscalar, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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，该漏洞源于当 tf.quantization.fake_quant_with_min_max_vars_gradient 接收到非标量的输入 min 或 max 时，它会给出可能触发拒绝服务攻击的断言失败。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