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I. Basic Information for CVE-2021-37660
Vulnerability Information

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Vulnerability Title
Division by 0 in inplace operations in TensorFlow
Source: NVD (National Vulnerability Database)
Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/inplace_ops.cc#L283) has a logic error: it should skip processing if `x` and `v` are empty but the code uses `||` instead of `&&`. We have patched the issue in GitHub commit e86605c0a336c088b638da02135ea6f9f6753618. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Source: NVD (National Vulnerability Database)
CVSS Information
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Source: NVD (National Vulnerability Database)
Vulnerability Type
除零错误
Source: NVD (National Vulnerability Database)
Vulnerability Title
Google TensorFlow 数字错误漏洞
Source: CNNVD (China National Vulnerability Database)
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存在数字错误漏洞,该漏洞源于软件未正确计算或转换所产生的数字。攻击者可利用该漏洞可以通过调用特制的参数的操作导致数据被0除,从而导致浮点异常。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)
Affected Products
VendorProductAffected VersionsCPESubscribe
tensorflowtensorflow >= 2.5.0, < 2.5.1 -
II. Public POCs for CVE-2021-37660
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III. Intelligence Information for CVE-2021-37660
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