Vulnerability Information
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Vulnerability Title
Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`
Vulnerability Description
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.UnsortedSegmentJoin` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `num_segments` is a positive scalar but there is no validation. Since this value is used to allocate the output tensor, a negative value would result in a `CHECK`-failure (assertion failure), as per TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CVSS Information
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Vulnerability Type
整数下溢(超界折返)
Vulnerability Title
Google TensorFlow 输入验证错误漏洞
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 2.9.0之前版本、2.8.1之前版本、2.7.2之前版本和2.6.4之前版本存在安全漏洞，该漏洞源于tf.raw_ops.UnsortedSegmentJoin 对于输入的参数存在不完全验证。攻击者利用该漏洞可以触发断言失败实现拒绝服务攻击。
CVSS Information
N/A
Vulnerability Type
N/A