TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an `int64_t`. If an overflow occurs, `MultiplyWithoutOverflow` would return a negative result. In the majority of TensorFlow codebase this then results in a `CHECK`-failure. Newer constructs exist which return a `Status` instead of crashing the binary. This is similar to CVE-2021-29584. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Find out more about CVE-2021-41197 from the MITRE-CVE dictionary and NIST NVD
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Product Name | Status | Defect | Fixed | Downloads |
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Linux | ||||
Wind River Linux LTS 17 | Not Vulnerable | -- | -- | -- |
Wind River Linux 8 | Not Vulnerable | -- | -- | -- |
Wind River Linux 9 | Not Vulnerable | -- | -- | -- |
Wind River Linux 7 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 21 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 22 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 18 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 19 | Not Vulnerable | -- | -- | -- |
Wind River Linux CD release | Not Vulnerable | -- | -- | -- |
Wind River Linux 6 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 23 | Not Vulnerable | -- | -- | -- |
VxWorks | ||||
VxWorks 7 | Not Vulnerable | -- | -- | -- |
VxWorks 6.9 | Not Vulnerable | -- | -- | -- |
Helix Virtualization Platform Cert Edition | ||||
Helix Virtualization Platform Cert Edition | Not Vulnerable | -- | -- | -- |
Product Name | Status | Defect | Fixed | Downloads |
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